Publications

The Computer Science Department has a rich history of published research relating to a variety of computer science interests. Many of the publications below were completed by or with assistance from graduate students. Experience with published research is an important part of graduate school and we encourage our students to take part in or lead research with the intention of being published.  

Publications

  • 2018-2019
    • Muraoka, K., Hanson, P., Frank, E., Jiang, M., Chiu, K. and Hamilton, D. “A data mining approach to evaluate suitability of dissolved oxygen sensor observations for lake metabolism analysis”. Limnol. Oceanogr. Methods, 16: 787-801, October 2018.
    • Ali Eker, Barry Williams, Nitesh Mishra, Dushyant Thakur, Kenneth Chiu, Dmitry Ponomarev, Nael Abu-Ghazaleh, “Performance Implications of Global Virtual Time Algorithms on a Knights Landing Processor”, 22nd IEEE/ACM International Symposium on Distributed Simulation and Real-Time Applications (DS-RT), Madrid, Spain, October 2018.
    • P. Dexter, K. Chiu and B. Sendir, “An Error-Reflective Consistency Model for Distributed Data Stores”, 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Rio de Janeiro, Brazil, May 2019, pp. 728-737.
    • Yuheng Chen, Wenna Duan, Parshant Sehrawat, Vaibhav Chauhan, Freddy J Alfaro, Anna Gavrieli, Xingye Qiao, Vera Novak, Weiying Dai. “Improved perfusion pattern score association with type 2 diabetes severity using machine learning pipeline: Pilot study”. Journal of Magnetic Resonance Imaging. March 2019, 49:834-844.
    • Li Zhao, David C Alsop, John A Detre, Weiying Dai. “Global fluctuations of cerebral blood flow indicate a global brain network independent of systemic factors”. Journal of Cerebral Blood Flow & Metabolism; February 2019:39:302-312.
    • Sadegh Khalili, Ghazal Mohsenian, Anuroop Desu, Kanad Ghose, Bahgat Sammakia, “Airflow Management Using Active Air Dampers in Presence of a Dynamic Workload in Data Centers”, Proc. 35-th. Semi-Therm Symposium, March 2019 (best paper award winner).
    • Mohammad. I. Tradat,  Udaya L.N. Puvvadi, Bahgat G. Sammakia, Kanad Ghose,  Mahmoud Ibrahim, Andrew Calder, Thomas Peddle, Mark Seymour and Husam A. Alissa, "The Impact of Cold Aisle Containment Pressure Relief on IT Availability", in Proc. 17th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), May 2019.
    • Ravi Theja Gollapudi, Gokturk Yuksek and Kanad Ghose, “Cache-Aware Dynamic Classification and Scheduling for Linux”, in Proc. 22nd. IEEE Symposium on Low-Power and High-Speed Chips and Systems Coolchips (Coolchips 22), April, 2019.
    • Adriano Garcia, Sandeep Mittal, Ed Kiewra and Kanad Ghose, “A Convolutional Neural Network Vision System Approach to Indoor Autonomous Quadrotor Navigation”, in Proc. IEEE 2019 International Conference on Unmanned Aircraft Systems (ICUAS), June 2019.
    • Ozgur Kilic, Spoorti Doddamani, Aprameya Bhat, Hardik Bagdi, Kartik Gopalan, "Overcoming Performance Bottlenecks in Large-VCPU Virtual Machines", In MASCOTS 2018, September 2018, Milwaukee, WI.
    • Dinuni Fernando, Jonathan Turner, Kartik Gopalan, Ping Yang, "Live Migration Ate My VM: Recovering a Virtual Machine After Failure of Post-Copy Live Migration", In INFOCOM 2019, April 2019, Paris, France. 
    • Gourav Rattihalli, Madhusudhan Govindaraju, Devesh Tiwari,"Towards Enabling Dynamic Resource Estimation and Correction for Improving Utilization in an Apache Mesos Cloud Environment", in the 19th IEEE/ACM International Symposium on Cluster and Grid Computing (CCGrid), May 2019.
    • Pankaj Saha, Angel Beltre and Madhusudhan Govindaraju, "Tromino: Demand and DRF Aware Muti-Tenant Queue Manager for Apache Mesos Cluster", in the 11th IEEE/ACM Conference on Utility and Cloud Computing (UCC 2018), December 2018.
    • Bedri Sendir, Madhu Govindaraju, Rei Odaira and H. Peter Hofstee, "CAPI-Flash Accelerated Persistent Read Cache for Apache Cassandra", in the 2018 IEEE International Conference on Cloud Computing (IEEE CLOUD 2018), July 2018.
    • Pankaj Saha, Angel Beltre, Piotr Uminski and Madhusudhan Govindaraju, "Evaluation of Docker Containers for Scientific Workloads in Cloud", in Practice and Experience in Advanced Research Computing (PEARC), July 2018.
    • Pankaj Saha, Angel Beltre and Madhusudhan Govindaraju, "Exploring the Fairness and Resource Distribution in an Apache Mesos Environment", in the 2018 IEEE International Conference on Cloud Computing (IEEE CLOUD 2018), July 2018.
    • Pradyumna Kaushik, Akash Kothawale, Abhishek Jain, Renan DelValle, and Madhusudhan Govindaraju, "Analysis of Dynamically Switching Energy-Aware Scheduling Policies for Varying Workloads", in the 2018 IEEE International Conference on Cloud Computing (IEEE CLOUD 2018), July 2018.
    • P. Kapoor, A. Vora, K. D. Kang, “Detecting and Mitigating Spoofing Attack against an Automotive Radar”, In Proceedings of the IEEE Vehicular Technology Conference, August 27 - 30, 2018, Chicago, USA.
    • F. Chai, K. D. Kang, A New Power Analysis Attack and a Countermeasure in Embedded Systems, In Proceedings of the IEEE Annual Ubiquitous Computing, Electronics & Mobile Communication Conference, November 8 - 10, 2018, Columbia University, New York, USA.
    • A. Vora, K. D. Kang, "Downlink Scheduling and Resource Allocation for 5G MIMO Multicarrier Systems," In Proceedings of the IEEE 1st 5G World Forum (5GWF '18), July 9 - 11, 2018, Santa Clara, California, USA.
    • A. Vora, K. D. Kang, "Index Modulation with PAPR and Beamforming for 5G MIMO-OFDM," In Proceedings of the IEEE 1st 5G World Forum (5GWF '18), July 9 - 11, 2018, Santa Clara, California, USA.
    • A. Vora, K. D. Kang, “Effective 5G Wireless Downlink Scheduling and Resource Allocation in Cyber-Physical Systems”, MDPI Technologies, 6(4), 105, 2018.
    • Di Mu, Mo Sha, Kyoung-Don Kang, and Hyungdae Yi, “Energy-Efficient Radio Selection and Data Partitioning for Real-Time Data Transfer”, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS'19), May 2019. (Best Paper Award Nominee)
    • Xi Chen, Zhenhua Li, Zhenyu Li, Tianyin Xu, Ennan Zhai, Yao Liu, Minghao Zhao, and Yunhao Liu. “POSTER: Minimizing the Cask Effect of Multi-Source Content Delivery”, Proceedings of the 26th International Symposium on Quality of Service (IWQoS), Banff, Alberta, Canada, June 4-6, 2018.
    • Chao Zhou, Zhenhua Li, Joe Osgood, and Yao Liu. “On the Effectiveness of Offset Projections for 360-Degree Video Streaming”, ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM), Volume:14, Issue:3s, August 2018.
    • Mengbai Xiao, Shuoqian Wang, Chao Zhou, Li Liu, Zhenhua Li, Yao Liu, and Songqing Chen.  “MiniView Layout for Bandwidth-Efficient 360-Degree Video”, Proceedings of the 26th ACM International Conference on Multimedia (ACM MM), Seoul, Korea, October 22-26, 2018.
    • Zhenhua Li, Yongfeng Zhang, Yunhao Liu, Tianyin Xu, Ennan Zhai, Yao Liu, Xiaobo Ma, Zhenyu Li. “A Quantitative and Comparative Study of Network-Level Efficiency for Cloud Storage Services”, ACM Transactions on Modeling and Performance Evaluation of Computing Systems (ACM TOMPECS), Volume 4 Issue 1, March 2019. 
    • Ao Xiao, Yunhao Liu, Yang Li, Feng Qian, Zhenhua Li, Sen Bai, Yao Liu, Tianyin Xu, Xianlong Xin. “An In-depth Study of Commercial MVNO: Measurement and Optimization”, Proceedings of the 17th ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys), Seoul, Korea, June 17-21, 2019.
    • Anthony Canino and Yu David Liu and Hidehiko Masuhara, "Stochastic Energy Optimization for Mobile GPS Applications,'' In Proceedings of the 26th ACM SIGSOFT Conference on Foundations of Software Engineering (FSE 2018), November 2018.
    • Anthony Canino and Yu David Liu, "Toward a Language Design for Energy Prediction." In International Workshop on Modern Language Runtimes, Ecosystems, and VMs (MoreVMs'19), April 2019.
    • Yu Sun, Hui Lu, Abhinav Srivastava, Cong Xu, “ShadeNF: A Platform for Online Network Function Verification”, Proceedings of the 9th ACM Symposium on Cloud Computing (SoCC 2018) Poster, Carlsbad, CA, October 2018.
    • Spoorti Doddamani, Piush Sinha, Hui Lu, Tsu-Hsiang K Cheng, Hardik H Bagdi, Kartik Gopalan, “Fast and Live Hypervisor Replacement”, Proceedings of the 15th ACM SIGPLAN/SIGOPS international conference on Virtual Execution Environments (VEE'19) , Providence, Rhode Island, April 2019. 
    • Piush Sinha, Spoorti Doddamani, Hui Lu, Kartik Gopalan, “mWarp: Accelerating Intra-Host Live Container Migration via Memory Warping”, Invited Paper, IEEE INFOCOM WorkShops: DCPerf 2019: Big Data and Cloud Performance Workshop, Paris, France, April 2019. 
    • Khasawneh, Mohammad and Madden, Patrick H. “HydraRoute: A Novel Approach to Circuit Routing”, Proceedings of the 2019 on Great Lakes Symposium on VLSI (GLSVLSI '19), Tysons Corner, VA, USA, May 2019.
    • Weiyi Meng. “Metasearch Engines”. Encyclopedia of Database Systems (2nd ed.), edited by Ling Liu and M. Tamer Ozsu, July 2018.
    • Kai Wang, Weiyi Meng, Jiang Bian, Shijun Li, and Sha Yang. “Spatial Context-aware User Mention Behavior Modeling for Mentionee Recommendation”. Neural Networks, 106:152-167, October 2018.
    • Liang Zhu, Weipeng Lu, Qin Ma, and Weiyi Meng. Region-tree Based Sorted List Indexing for Real-time Entity Resolution in n-Dimensional Data Space. Proc. Of 2018 International Conference on Information Technology and Applications (ITA 2018), Guilin, China, October 2018.
    • Kai Wang, Weiyi Meng, Shijun Li, Sha Yang. “Multi-Modal Mention Topic Model for Mentionee Recommendation”. Neurocomputing, 325:190-199, January 2019.
    • Yongquan Dong, Eduard Dragut, Weiyi Meng. “Normalization of Duplicate Records from Multiple Sources”. IEEE Transactions on Knowledge and Data Engineering, 31(4):769-782, April 2019.
    • Nael Abu-Ghazaleh, Dmitry Ponomarev, Dmitry Evtyushkin, “How the Spectre and Meltdown Hacks Really Worked?”, IEEE Spectrum, March 2019. 
    • Khaled Khasawneh, Esmaeil Koruyekh, Chengyu Song, Dmitry Evtyushkin, Dmitry Ponomarev and Nael Abu-Ghazaleh, “SafeSpec: Banishing the Spectre of a Meltdown with Leakage-Free Speculation”, Design Automation Conference (DAC), Las Vegas, NV, June, 2019.
    • Anh Quach, Lok Kwong Yan and Aravind Prakash. “Debloating Software through Piece-Wise Compilation and Loading”, Proceedings of the 27th Annual Usenix Security Symposium (Security'18), Baltimore, Maryland, August 2018.
    • Yue Zhang and Arti Ramesh, "Fine-grained Analysis of Cyberbullying using Weakly-Supervised Topic Models", Data Science and Advanced Analytics (DSAA), October 2018.
    • Arti Ramesh and Lise Getoor, "Topic Evolution Models for Long-running MOOCs", Web Information Systems Engineering (WISE), November 2018.
    • Gissella Bejarano, David Defazio, Arti Ramesh, "A Deep Latent Generative Model for Energy Disaggregation", AAAI, January 2019.
    • Arti Ramesh, Dan Goldwasser, Bert Huang, Hal Daume III, and Lise Getoor, "Interpretable Engagement Models for MOOCs using Hinge-loss Markov Random Fields", IEEE Transactions on Learning Technologies (TLT), January 2019.
    • Raphael Luciano de Pontes, Aditya Mishra, Anand Seetharam, Arti Ramesh, Mridula Shekhar “GreenPeaks: Employing renewables to effectively cut load in electric grids” in Proceedings of IEEE SMARTCOMP 2018, June 2018.
    • Gissella Bejarano, Mayank Jain, Arti Ramesh, Anand Seetharam, Aditya Mishra “Predictive Analytics for Smart Water Management in Developing Regions ” in Proceedings of IEEE SMARTCOMP Smart Industries Workshop, June 2018.
    • David DeFazio, Arti Ramesh Anand Seetharam, “NYCER: A Non-Emergency Response Predictor for NYC using Sparse Gaussian Conditional Random Fields”, in Proceedings of the EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (Mobiquitous), November 2018.
    • J. Dinal Herath, Anand Seetharam, Arti Ramesh, “ Deep Learning Model for Wireless Channel Quality Prediction”, in Proceedings of the IEEE International Conference on Communications (ICC), May 2019.
    • J. Dinal Herath, Anand Seetharam, “A Markovian Model for Analyzing Opportunistic Request Routing in Wireless Cache Networks”, in IEEE Transactions on Vehicular Technology, Volume 68, Issue 1, January 2019.
    • Adita Kulkarni, Anand Seetharam, “Exploiting Correlations in Request Streams: A Case for Hybrid Caching in Cache Networks”, in Proceedings of the IEEE International Conference on Local Computer Networks (LCN), October 2018. 
    • Bitan Banerjee∗, Adita Kulkarni∗, Anand Seetharam, “Greedy Caching: An Optimized Content Placement Strategy for Information-centric Networks”, in Elsevier Computer Networks, Volume 140, Pages 78 – 91, July 2018. (∗Joint First Author) 
    • Adita Kulkarni, Anand Seetharam, “Evaluating the Benefits of Caching and Stateless Forwarding in Mobile Information-centric Networks”, in proceedings of the IEEE/ACM International CSymposium on Architectures for Networking and Communications Systems (ANCS), 2018.
    • Anubhab Banerjee, Bitan Banerjee, Anand Seetharam, Chintha Tellambura, “Content search and routing under custodian unavailability in information-centric networks”, in Elsevier Computer Networks, Volume 141, Pages 92 – 101, August 2018.
    • Xia Cheng, Junyang Shi, and Mo Sha, “Cracking the Channel Hopping Sequences in IEEE 802.15.4e-Based Industrial TSCH Networks”, ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI'19), April 2019.
    • Zhicheng Yang, Parth H Pathak, Jianli Pan, Mo Sha, and Prasant Mohapatra, “Sense and Deploy: Blockage-aware Deployment of Reliable 60 GHz mmWave WLANs”, IEEE International Conference on Mobile Ad-hoc and Sensor Systems (MASS'18), October 2018.
    • Xiaonan Zhang, Pei Huang, Linke Guo, and Mo Sha, Incentivizing Relay Participation for Securing IoT Communication,   IEEE International Conference on Computer Communications (INFOCOM'19), April 2019.
    • Xia Cheng and Mo Sha, POSTER: Cracking the TSCH Channel Hopping in IEEE 802.15.4e, ACM Conference on Computer and Communications Security (CCS'18), October 2018. (Poster).
    • Junyang Shi, Mo Sha, and Zhicheng Yang, DiGS: Distributed Graph Routing and Scheduling for Industrial Wireless Sensor-Actuator Networks, IEEE International Conference on Distributed Computing Systems (ICDCS'18) research tracks, July 2018.
    • Junyang Shi and Mo Sha, Parameter Self-Configuration and Self-Adaptation in Industrial Wireless Sensor-Actuator Networks, IEEE International Conference on Computer Communications (INFOCOM'19), April 2019.
    • Di Mu, Mo Sha, Kyoung-Don Kang, and Hyungdae Yi, Energy-Efficient Radio Selection and Data Partitioning for Real-Time Data Transfer, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS'19), May 2019.
    • Zhicheng Yang, Parth H Pathak, Mo Sha, Tingting Zhu, Junai Gan, Pengfei Hu, and Prasant Mohapatra, On The Feasibility of Estimating Soluble Sugar Content using Millimeter-wave, ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI'19), April 2019.
    • S. Shin, M. LeBeane, Y. Solihin and A. Basu, "Neighborhood-Aware Address Translation for Irregular GPU Applications," 2018 51st Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), Fukuoka, October 2018, pp. 352-363.
    • Yunus Kucuk, Nikhil Patil, Zhan Shu and Guanhua Yan, “BigBing: Privacy-Preserving Cloud-Based Malware Classification Service,” Proceedings of the 2nd IEEE Symposium on Privacy-Aware Computing (PAC’18), Washington DC, USA, September 2018.
    • Kaiming Fang and Guanhua Yan, “Emulation-Instrumented Fuzz Testing of 4G/LTE Android Mobile Devices Guided by Reinforcement Learning,” Proceedings of the 23rd European Symposium on Research in Computer Security (ESORICS’18). Barcelona, Spain. September 3-7, 2018. (Acceptance ratio: 20%).
    • Zhan Shu and Guanhua Yan, “Ensuring Deception Consistency for FTP Services Hardened against Advanced Persistent Threats,” Proceedings of The 5th ACM Workshop on Moving Target Defense (MTD’18). In conjunction with the 25th ACM Conference on Computer and Communications Security (CCS’18), Toronto, Canada, October 2018.
    • Tianlin Li, Kartik Gopalan, Ping Yang. “ContainerVisor: Customized Control of Container Resources”, IEEE International Conference on Cloud Engineering (IC2E), May 2019.
    • Peng Liu, Zheng Zhang, Huiyuan Yang, and Lijun Yin, “Thermal Empowered Multi-Task Network for Facial Action Unit Detection”, IEEE Winter Conf. on Applications of Computer Vision (WACV 2019), Waikoloa Village, Hawaii, January 2019.
    • Zheng Zhang, Shuangfei Zhai, Lijun Yin, “Identity-based Adversarial Training of Deep CNNs for Facial Action Unit Recognition”, British  Machine Vision Conference (BMVC), Sept 2018, Newcastle, UK.
    • Huiyuan Yang and Lijun Yin, “Learning Temporal Information From A Single Image For AU Detection”, The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG), May 2019.
    • I. Ertugrul, J. Cohn, L. Jeni, Z. Zhang,  L. Yin, and Q. Ji, “Cross-domain AU Detection: Domains, Learning Approaches, and Measures”, The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG), May 2019 (Best paper of FG 2019).
    • Michael J. Reale, Benjamin Klinghoffer, Micah Church, Hannah Szmurlo, Lijun Yin, “Facial Action Unit Analysis through 3D Point Cloud Neural Networks”,  The 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG), May 2019.
    • Shaun Canavan, Marvin Andujar, Lijun Yin, Anton Nijholt, and Elizabeth Schotter, “Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces”,  The 1st workshop on Ubiquitous Emotion Recognition with Multimodal Mobile Interfaces (UERMMI 2018) in conjunction with UbiComp 2018 - ACM Conference on Pervasive and Ubiquitous Computing, Oct 2018.
    • Andrew Cohen, Xingye Qiao, Lei Yu, Elliot Way, and Xiangrong Tong. "Diverse Exploration via Conjugate Policies for Policy Gradient Methods". In Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19), January 2019.
    • Shih-Yun Lo, Shiqi Zhang, and Peter Stone. “PETLON: Planning Efficiently for Task-Level-Optimal Navigation”. In proceedings of the International Conference on Autonomous Agents and Multiagent Systems (AAMAS), July 2018 [Best Robotics Paper Award]
    • Saeid Amiri, Suhua Wei, Shiqi Zhang, Jivko Sinapov, Jesse Thomason, and Peter Stone. “Multi-modal Predicate Identification using Dynamically Learned Robot Controllers”. In proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), July 2018.
    • Yuqian Jiang, Shiqi Zhang, Piyush Khandelwal, and Peter Stone. “Task Planning in Robotics: an Empirical Comparison of PDDL- and ASP-based Systems”. Frontiers of Information Technology and Electronic Engineering, Special Issue on Intelligent Robots, April 2019.
    • Keting Lu, Shiqi Zhang, and Xiaoping Chen. “Goal-oriented Dialogue Policy Learning from Failures”. In proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence (AAAI), February 2019.
    • Christopher Amato, Haitham Bou Ammar, Elizabeth Churchill, Erez Karpas, Takashi Kido, Mike Kuniavsky, WF Lawless, Francesca Rossi, Frans A Oliehoek, Stephen Russell, Keiki Takadama, Siddharth Srivastava, Karl Tuyls, Philip Van Allen, K Brent Venable, Peter Vrancx, and Shiqi Zhang, Reports on the 2018 AAAI Spring Symposium Series, AI Magazine, 39(4), pp. 29-35, December 2018.
    • Yunlong Yu, Zhong Ji, Xi Li, Jichang Guo, Zhongfei Zhang, Haibin Ling, Fei Wu, “Transductive Zero-Shot Learning with a Self-Training Dictionary Approach”, IEEE Transactions on Cybernetics, Volume 48, Number 10, Pages 2908-2929, October 2018.
    • Zhongang Qi, Tianchun Wang, Guojie Song, Weisong Hu, Xi Li, and Zhongfei Zhang, “Deep Air Learning: Interpolation, Prediction, and Feature Analysis of Fine-Grained Air Quality”, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society Press, Volume 30, Number 12, December 2018, Pages 2285-2297.
    • Bin Li, Xi Li, Zhongfei (Mark) Zhang, “Spatio-Temporal Graph Routing for Skeleton-Based Action Recognition”, Proc. 33rd AAAI Conference on Artificial Intelligence, (AAAI 2019), Honolulu, Hawaii, USA, January 2019.
    • Yaqing Zhang, Xi Li, Zhongfei (Mark) Zhang, “Learning a Key-Value Memory Co-Attention Matching Network for Person Re-Identification”, Proc. 33rd AAAI Conference on Artificial Intelligence, (AAAI 2019), Honolulu, Hawaii, USA, January 2019.
    • Siliang Tang, Fei Wu, Yueting Zhuang, Zhongfei (Mark) Zhang, “Cross-relation Cross-bag Attention for Distantly-supervised Relation Extraction”, Proc. 33rd AAAI Conference on Artificial Intelligence, (AAAI 2019), Honolulu, Hawaii, USA, January 2019.
    • Yunlong Yu, Zhong Ji, Yanwei Fu, Jichang Guo, Yanwei Pang, Zhongfei (Mark) Zhang, “Stacked Semantics-Guided Attention Model for Fine-Grained Zero-Shot Learning”, Proc. 32nd Conference on Neural Information Processing Systems, (NIPS 2018), Montreal, Canada, December 2018.
    • Zeshang Zhang, Yingming Li, Zhongfei (Mark) Zhang, “Relative Attribute Learning with Deep Attentive Cross-image Representation”, Proc. 10th Asian Conference on Machine Learning, (ACML 2018), Beijing, China, November 2018.
    • Ming Chen, Yingming Li, Zhongfei (Mark) Zhang, “Two-View Transformer Network for Video Captioning”, Proc. 10th Asian Conference on Machine Learning, (ACML 2018), Beijing, China, November 2018.
    • Baiyun Cui, Yingming Li, Ming Chen, and Zhongfei (Mark) Zhang, “Deep Attentive Sentence Ordering Network”, Proc. International Conference on Empirical Methods on Natural Language Processing, (EMNLP 2018), Brussels, Belgium, November 2018.
    • Siyu Huang, Xi Li, Zhi-Qi Cheng, Zhongfei (Mark) Zhang, and Alexander Hauptmann, “GNAS: A Greedy Neural Architecture Search Method for Multi-Attribute Learning”, Proc. ACM International Conference on Multimedia, (ACM MM 2018), Seoul, Korea, October 2018.
    • Jiajiong Cao, Yingming Li, and Zhongfei (Mark) Zhang, “CELEB-500K: A Large Training Dataset for Face Recognition”, Proc. IEEE International Conference on Image Processing, (ICIP 2018), Athens, Greece, October 2018.
    • Jiangtao Yin, Lixin Gao, and Zhongfei Zhang, “Scalable Distributed Nonnegative Matrix Factorization with Block-wise Updates”, IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society Press, December 2018.
  • 2017-2018
    • M Cavallari, W Dai, CR Guttmann, DS Meier, LH Ngo, TT Hshieh, TG Fong, E Schmitt, DZ Press, TG Travison, ER Marcantonio, RN Jones, SK Inouye, DC Alsop, "Longitudinal diffusion changes following postoperative delirium in older people without dementia", Neurology, 89(10), 1020-1027, August 2017.
    • W Dai, W Duan, FJ Alfaro, A Gavrieli, F Kourtelidis, V Novak, "The resting perfusion pattern associates with functional decline in type 2 diabetes", Neurobiology of aging, 60, 192-201, Feb 2018.
    • Sami Alkharabsheh, Udaya L. N. Puvvadi, Bharath Ramakrishnan, Kanad Ghose and Bahgat Sammakia, "Failure Analysis of Direct Liquid Cooling System in Data Centers", Jrnl. of Electronics Packaging 140(2), 020902, Paper No: EP-17-1094; doi: 10.1115/1.4039137, January 2018.
    • Adriano Garcia and Kanad Ghose, "Autonomous Indoor Navigation of a Stock Quadcopter with Off-Board Control", Proc. IEEE Research and Education on Unmanned Aerial Systems, peer-reviewed workshop (24% acceptance rate), October 2017, pp. 132-137.
    • Bharath Ramakrishnan, Sami Alkharabsheh, Yaser Hadad, Paul R. Chiarot1, Kanad Ghose, Bahgat Sammakia, Vadim Gektin, Wang Chao, "Experimental Investigation of Direct Liquid Cooling of a Two-Die Package", Proc. IEEE 2018 Smi-Therm (May 2018), pp. 42-49.
    • Kartik Gopalan, Rohith Kugve, Hardik Bagdi, Yaohui Hu, Dan Williams, Nilton Bila, "Multi-hypervisor Virtual Machines: Enabling an Ecosystem of Hypervisor-level Services", USENIX Annual Technical Conference (USENIX ATC), July 2017, Santa Clara, CA, USA.
    • Hardik Bagdi, Rohith Kugve, Kartik Gopalan, "HyperFresh: Live Refresh of Hypervisors Using Nested Virtualization", ACM Asia-Pacific Workshop on Systems (APSys), September 2017, Mumbai, India.
    • Gourav Rattihalli, Pankaj Saha, Madhusudhan Govindaraju and Devesh Tiwari, "Two stage cluster for resource optimization with Apache Mesos", in MTAGS17: 10th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers, to be held in conjunction with Supercomputing 2017, at Denver, Colorado on November 17th, 2017.
    • Renan DelValle, Pradyumna Kaushik, Abhishek Jain, Jessica Hartog, Madhusudhan Govindaraju, "Electron: Towards Efficient Resource Management on Heterogeneous Clusters with Apache Mesos", in proceedings of the IEEE International Conference on Cloud Computing (CLOUD), Applications Track, July 2017.
    • Renan Delvalle, Pradyumna Kaushik, Abhishek Jain, Jessica Hartog, Madhusudhan Govindaraju, "Exploiting Efficiency Opportunities Based on Workloads with Electron on Heterogeneous Clusters", in The 10th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2017), October 2017.
    • Pankaj Saha, Angel Beltre, Madhusudhan Govindaraju, "Scylla: A Mesos Framework for Container Based MPI Jobs", accepted for publication in MTAGS17: 10th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers, held in conjunction with Supercomputing 2017, at Denver, Colorado on November 17th, 2017.
    • KD Kang, L Chen, H Yi, B Wang, M Sha, "Real-Time Information Derivation from Big Sensor Data via Edge Computing", Big Data and Cognitive Computing, Special Issue on Cognitive Services Integrating with Big Data, Clouds and IoT, Vol. 1, Issue 5, pp. 1-24, October, 2017.
    • D. Fernando, K. D. Kang, Y. Zhou, "An Adaptive Closed-Loop Approach for Timely Data Services," In Proceedings of the 23rd IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA '17), August 16 - 18, 2017, Hsinchu, Taiwan.
    • K. D. Kang, Enhancing Timeliness and Saving Power in Real-Time Databases, Real-Time Systems, Volume 54, Issue 2, pp. 484-513, April, 2018.
    • Chao Zhou, Zhenhua Li, and Yao Liu. "A Measurement Study of Oculus 360 Degree Video Streaming", Proceedings of the 8th ACM Multimedia Systems Conference (Research Track) (MMSys 2017), Best Student Paper Award, Taipei, Taiwan, June 20-23, 2017.
    • Mengbai Xiao, Chao Zhou, Yao Liu, and Songqing Chen, "OpTile: Toward Optimal Tiling in 360-Degree Video Streaming", Proceedings of the 2017 ACM on Multimedia Conference (MM 2017), Mountain View, CA, October 23-27, 2017.
    • Zhen Lu, Zhenhua Li, Jian Yang, Tianyin Xu, Ennan Zhai, Yao Liu, and Christo Wilson. "Accessing Google Scholar under Extreme Internet Censorship: A Legal Avenue," Proceedings of the 18th ACM/IFIP/USENIX International Middleware Conference (Industrial Track) (Middleware 2017), Las Vegas, NV, December 11-15, 2017.
    • He Xiao, Zhenhua Li, Ennan Zhai, Tianyin Xu, Yang Li, Yunhao Liu, Quanlu Zhang, and Yao Liu. "Towards Web-based Delta Synchronization for Cloud Storage Services," Proceedings of the 16th USENIX Conference on File and Storage Technologies (FAST 2018), Oakland, CA, February 12-15, 2018.
    • Chao Zhou, Mengbai Xiao, and Yao Liu. "ClusTile: Toward Minimizing Bandwidth in 360-Degree Video Streaming", Proceedings of the 2018 IEEE International Conference on Computer Communications (INFOCOM 2018), Honolulu, HI, April 15-19, 2018.
    • Mengbai Xiao, Chao Zhou, Viswanathan Swaminathan, Yao Liu, and Songqing Chen. "BAS-360: Exploring Spatial and Temporal Adaptability in 360-Degree Videos over HTTP/2. Proceedings of the 2018 IEEE International Conference on Computer Communications (INFOCOM 2018), Honolulu, HI, April 15-19, 2018
    • Gustavo Pinto, Anthony Canino, Fernando Castor, Guoqing Xu, Yu David Liu, "Understanding and Overcoming Parallelism Bottenecks in ForkJoin Applications," ACM Conference on Automated Software Engineering (ASE), November 2017.
    • Liang Zhu, Xu Du, Qin Ma, Weiyi Meng, Haibo Liu. "Keyword Search with Real-Time Entity Resolution in Relational Databases". 2018 International Conference on Big Data Management (ICBDM 2018), Macau, China, February 2018.
    • Jesse Elwell, Dmitry Evtyushkin, Nael Abu-Ghazaleh, Dmitry Ponomarev, Ryan Riley, "Hardening Extended Memory Access Control Schemes with Self-Verified Address Spaces", International Conference on Computer-Aided Design (ICCAD), Irvine, CA, November 2017.
    • Khaled Khasawneh, Nael Abu-Ghazaleh, Dmitry Ponomarev, Lei Yu. "RHMD: Evasion-Resilient Hardware Malware Detectors", 50th International Symposium on Microarchitecture (MICRO), Boston, MA, October 2017.
    • Dmitry Evtyushkin, Ryan Riley, Nael Abu-Ghazaleh, Dmitry Ponomarev. "Branch Scope: A New Side-Channel Attack on Directional Branch Predictor", 23rd ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS), Williamsburg, VA, March 2018.
    • Anh Quach, Rukayat Erinfolami, David Demicco and Aravind Prakash. "A Multi-OS Cross-Layer Study of Bloating in User Programs, Kernel and Managed Execution Environments", ACM CCS workshop on Forming an Ecosystem Around Software Transformation, 2017 (FEAST'17), Dallas, Texas, November 2017.
    • Anh Quach, Matthew Cole and Aravind Prakash. "Supplementing Modern Software Defenses with Stack-Pointer Sanity", Proceedings of the 33rd Annual Computer Security Applications Conference (ACSAC'17), Orlando, Florida, December 2017.
    • Anand Seetharam and Arti Ramesh, "On the Goodput of Flows in Heterogeneous Mobile Networks", Elsevier Computer Networks Journal, February 2018.
    • Yue Zhang, Arti Ramesh, Jennifer Golbeck, Dhanya Sridhar, and Lise Getoor. "A Structured Approach to Understanding Recovery and Relapse in AA", WWW, April 2018.
    • Arpita Chakraborty, Yue Zhang, and Arti Ramesh, "Understanding Types of Cyberbullying in an Anonymous Messaging Application", WWW Workshop on Cybersafety, April 2018.
    • Raphael Luciano de Pontes, Aditya Mishra, Anand Seetharam, Arti Ramesh, "GreenPeaks - Employing renewables to effectively cut load in electric grids". IEEE SMARTCOMP, June 2018.
    • Gissella Bejarano, Mayank Jain, Arti Ramesh, Anand Seetharam, Aditya Mishra, "Predictive Analytics for Smart Water Management in Developing Regions," IEEE SMARTCOMP Smart Industries Workshop, June 2018.
    • Swapnoneel Roy, Bassam Matloob, Anand Seetharam, A. Rameshbabu, W. C. O 'Dell, W. I. Davis "Biometrics Data Security Techniques for Portable MobileDevices - A Case Study" in Springer INAE Letters, October 2017.
    • Dinal Herath, Anand Seetharam "Analyzing Opportunistic Request Routing in Wireless Cache Networks" in IEEE ICC, May 2018.
    • Bitan Banerjee*, Adita Kulkarni*, Anand Seetharam "Greedy Caching: An Optimized Content Placement Strategy for Information-centric Networks" (* Joint First Authors) in Elsevier Computer Networks, June 2018.
    • Sibendu Paul, Anand Seetharam, Amitava Mukherjee, Mrinal Naskar "Investigating the Impact of Cache Pollution Attacks in Heterogeneous Cellular Networks" in Proceedings of IEEE ICNP, May 2017.
    • Anand Seetharam. "On Caching and Routing in Information-centric Networks," IEEE Communications Magazine, March 2018.
    • Anubhab Banerjee, Bitan Banerjee, Anand Seetharam, Chintha Tellambura "Content search and routing under custodian unavailability in information-centric networks" in Elsevier Computer Networks, 2018.
    • Chengjie Wu, Dolvara Gunatilaka, Mo Sha, and Chenyang Lu, "Real-Time Wireless Routing for Industrial Internet of Things", ACM/IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI'18), April 2018.
    • Tianming Zhao, Jian Liu, Yan Wang, Hongbo Liu, Yingying Chen, "PPG-based Finger-level Gesture Recognition Leveraging Wearables", in Proceedings of IEEE International Conference on Computer Communications (IEEE INFOCOM 2018), Honolulu, HI, USA, April 2018.
    • Chen Wang, Jian Liu, Yingying Chen, Hongbo Liu, Yan Wang, "Towards In-baggage Suspicious Object Detection Using Commodity WiFi", Proceedings of IEEE International Communications and Network Security (CNS 2018), Beijing, China, May/June 2018. (Best Paper Award).
    • Chen Wang, Xiaonan Guo, Yingying Chen, Yan Wang, Bo Liu, Personal PIN Leakage from Wearable Devices, IEEE Transactions on Mobile Computing (IEEE TMC), Volume 17, Issue 3, Pages 646-660, May 2018.
    • Guanhua Yan, Junchen Lu, Zhan Shu, and Yunus Kucuk."ExploitMeter: Combining Fuzzing with Machine Learning for Automated Evaluation of Software Exploitability", Proceedings of the 1st IEEE Symposium on Privacy-Aware Computing Washington DC, USA August 1-3, 2017.
    • W. Li, F. Abtahi, Z. Zhu, Lijun Yin, "EAC-Net: Deep Nets with Enhancing and Cropping for Facial Action Unit Detection", IEEE Transactions on Pattern Analysis and Machine Intelligence, 1(10):1-14, January 2018.
    • Omowunmi A Sadik, Idris Yazgan, Orhan Eroglu, Peng Liu, Sarah T. Olsen, Alecia M. Moser, Hakan Cengiz, Phillip G. Sander, Courage Tsiagbe, Kei Harada, Saeed Bajwa, Christian D. Tvetenstrand, Lijun Yin, and Peter Gerhardstein, "Objective Pain Analysis Using Serum Cyclooxygenase-2 and Inducible Nitric Oxide Synthase in American Patients", Clinica Chimica Acta - International Journal of Clinical Chemistry and Diagnostic laboratory Medicine, 484, May 2018: 278-283 (Elsevier).
    • H. Yang, U. Ciftci, L. Yin, "Facial Expression Recognition by De-expression Residue Learning", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2018.
    • Huiyuan Yang, Zheng Zhang, and Lijun Yin, "Identity-Adaptive Facial Expression Recognition Through Expression Regeneration Using Conditional Generative Adversarial Networks", 13th IEEE International Conference on Automatic Face and Gesture Recognition (FG), May, 2018.
    • Peng Liu, Idris Yazgan, Sarah T. Olsen, Alecia M. Moser, Umur A. Ciftci, Saeed Bajwa, Christian D. Tvetenstrand, Peter Gerhardstein, Omowunmi A Sadik, and Lijun Yin, Clinical Valid Pain Database with Biomarker and Visual Information for Pain Level Analysis, 13th IEEE International Conference on Automatic Face and Gesture Recognition (FG), May, 2018.
    • Huiyuan Yang and Lijun Yin, "CNN based 3D facial expression recognition using masking and landmark features", 7th International Conference on Affective Computing and Intelligent Interaction (ACII2017), San Antonio, Texas, Oct. 2017 (The Association for the Advancement of Affective Computing (AAAC).
    • Shaun Canavan, Melanie Chen, Song Chen, Robert Valdez, Miles Yaeger, Huiyi Lin, and Lijun Yin, "Combining gaze and demographic feature descriptors for autism classification," IEEE International Conference on Image Processing (ICIP), Beijing, China, Sept. 2017.
    • Shaun Canavan, Walter Keyes, Ryan Mccormick, Julie Kunnumpurath, Tanner Hoelzel, and Lijun Yin, "Hand gesture recognition using a skeleton-based feature representation with a random regression forest", IEEE International Conference on Image Processing (ICIP), Beijing, China, Sept. 2017.
    • Andrew Cohen, Lei Yu, and Robert Wright. "Diverse Exploration for Fast and Reliable Policy Improvement". In Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18), New Orleans, LA, February 2018.
    • Pengzhan Hao, Yongshu Bai, Xin Zhang, and Yifan Zhang. "EdgeCourier: An Edge-hosted Personal Service for Low-bandwidth Document Synchronization in Mobile Cloud Storage Services". The 2nd ACM/IEEE Symposium on Edge Computing (ACM/IEEE SEC). San Jose, CA, USA, 2017.
    • Yongshu Bai, Pengzhan Hao, and Yifan Zhang. "Case for Web Service Bandwidth Reduction on Mobile Devices with Edge-hosted Personal Services." The 37th IEEE International Conference on Computer Communications (IEEE INFOCOM). Honolulu, HI, USA, 2018.
    • Zhong Ji, Yuzhong Xie, Yanwei Pang, Lei Chen, Zhongfei Zhang, "Zero-Shot Learning with Multi-Battery Factor Analysis," Signal Processing, Volume 138, Pages 265-272, September, 2017.
    • Siyu Huang, Xi Li, and Zhongfei Zhang, Fei Wu, Shenghua Gao, Rongrong Ji, and Junwei Han,
    • "Body Structure Aware Deep Crowd Counting," IEEE Transactions on Image Processing, IEEE Computer Society Press, Volume 27, Number 3, Pages 1049 - 1059, March 2018.
    • Yueting Zhuang, Jun Song, Fei Wu, Xi Li, Zhongfei Zhang, and Yong Rui, "Multi-Modal Deep Embedding via Hierarchical Grounded Compositional Semantics," IEEE Transactions on Circuits and Systems for Video Technology, IEEE Signal Processing Society Press, Volume 28, Number 1, pages 76 - 89, January 2018.
    • Jun Song, Jun Xiao, Fei Wu, Hai Shan, Tong Zhang, Zhongfei Zhang, Wenwu Zhu, "Hierarchical Contextual Attention Recurrent Neural Network for Map Query Suggestion," IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society Press, Volume 29, Number 9, Pages 1888 - 1901, September 2017.
    • Zhouzhou He, Xi Li, Zhongfei Zhang, Fei Wu, Xin Gang, Yaqing Zhang, Ming-Hsuan Yang, Yueting Zhuang, "Data-Dependent Label Distribution Learning for Age Estimation," IEEE Transactions on Image Processing, IEEE Computer Society Press, Volume 26, Issue 8, Pages 3846-3859, August 2017.
    • Te Pi, Xi Li, Zhongfei Zhang, Xueyi Zhao, Meng Wang, Xuelong Li, Philip S. Yu, "Learning Bregman Distance Functions for Structural Learning to Rank," IEEE Transactions on Knowledge and Data Engineering, IEEE Computer Society Press, Volume 29, Issue 9, Pages 1916-1927, September 2017.
    • Yingming Li and Zhongfei (Mark) Zhang, "Learning with Incomplete Labels," Proc. the 32nd AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2018.
    • Chaojie Mao, Yingming Li, Zhongfei (Mark) Zhang, Yaqing Zhang, and Xi Li, "Multi-Channel Pyramid Person Matching Network for Person Re-Identification," Proc. the 32nd AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February, 2018.
    • Jiajiong Cao, Yingming Li, Xi Li, and Zhongfei (Mark) Zhang, "FR-ANet: A Face Recognition Guided Facial Attribute Classification Network," Proc. the 32nd AAAI Conference on Artificial Intelligence, New Orleans, Louisiana, USA, February 2018.
    • Chaojie Mao, Yingming Li, Zhongfei (Mark) Zhang, Yaqing Zhang, and Xi Li, "Pyramid Person Matching Network for Person Re-Identification," Proc. 9th Asian Conference on Machine Learning, Seoul, Korea, November 2017.
    • Baiyun Cui, Yingming Li, Yaqing Zhang, and Zhongfei (Mark) Zhang, "Text Coherence Analysis Based on Deep Neural Network," Proc. ACM International Conference on Information and Knowledge Management, Singapore City, Singapore, November, 2017.
    • Te Pi, Xi Li, and Zhongfei (Mark) Zhang, "Boosted Zero-Shot Learning with Semantic Correlation Regularization," Proc. International Joint Conference on Artificial Intelligence, Melbourne, Australia, August 2017.
    • Shuangfei Zhai, Hui Wu, Abhishek Kumar, Yu Cheng, Yongxi Lu, Zhongfei Zhang, Rogerio Feris, "S3Pool: Pooling with Stochastic Spatial Sampling," Proc. IEEE International Conference on Computer Vision and Pattern Recognition, Honolulu, Hawaii, USA, July 2017.
  • 2016-2017
    • W. Dai, T. Fong, R. Jones, E. Marcantonio, E. Schmitt, SK. Inouye, DC. Alsop. "Effects of Arterial Transit Time on Cerebral Blood Flow Quantification Using Arterial Spin Labeling in an Elderly Cohort", Journal of Magnetic Resonance Imaging 45(2):472-481, February 2017.
    • X. Zheng, W. Dai, D. C. Alsop, G. Schlaug. "Modulating transcallosal and intrahemispheric brain connectivity with tDCS: Implications for interventions in Aphasia", Restorative Neurology and Neuroscience 34(4): 519-530, July 2016.
    • L. Zhao, W. Dai, S. Soman, DB. Hackney, ET. Wong, PM. Robson, DC. Alsop. "Using Anatomic Magnetic Resonance Image Information to Enhance Visualization and Interpretation of Functional Images: A Comparison of Methods Applied to Clinical Arterial Spin Labeling Images", IEEE Transactions on Medical Imaging, 36(2): 487-496, 2017.
    • TT. Hshieh, W. Dai, M. Cavallari, CRG. Guttmann, DS. Meier, Eva M Schmitt, Bradford C. Dickerson, Daniel Z. Press, Edward R. Marcantonio, Richard N. Jones, Yun Ray Gou, Thomas G. Travison, Tamara G. Fong, Long Ngo, Sharon K. Inouye, David C. Alsop, SAGES Study Group. "Cerebral blood flow MRI in the nondemented elderly is not predictive of post-operative delirium but is correlated with cognitive performance", Journal of Cerebral Blood Flow & Metabolism, 37(4): 1386-1397, April 2017.
    • Yasser Khan, Mohit Garg, Qiong Gui, Mark Schadt, Abhinav Gaikwad, Donggeon, Han, Natasha A. D. Yamamoto, Paul Hart, Robert Welte, William Wilson, Steve Czarnecki, Mark Poliks, Zhanpeng Jin, Kanad Ghose, Frank Egitto, James Turner, and Ana C. Arias. "Flexible Hybrid Electronics: Direct Interfacing of Soft and Hard Electronics for Wearable Health Monitoring," Journal of Advanced Functional Materials, 26(47):8764-8775, December 2016.
    • Kartik Gopalan and Rohit Kugve and Hardik Bagdi and Yaohui Hu and Daniel Williams and Nilton Bila, "Multi-Hypervisor Virtual Machines: Enabling an Ecosystem of Hypervisor-level Services," USENIX Annual Technical Conference (USENIX ATC'17), 2017, Santa Clara, CA.
    • Dinuni Fernando, Hardik Bagdi, Yaohui Hu, Ping Yang, Kartik Gopalan, Charles Kamhoua, and Kevin Kwiat, Quick Eviction of Virtual Machines Through Proactive Live Snapshots, Full paper, IEEE/ACM International Conference on Utility and Cloud Computing (UCC), 2016.
    • Bedri Sendir, Madhusudhan Govindaraju, Rei Odaira, Peter Hofstee, "Optimized Durable Commitlog for Apache Cassandra Using CAPI-Flash", in proceedings of the IEEE International Conference on Cloud Computing (CLOUD), Research Track, June 2016.
    • Pankaj Saha, Madhusudhan Govindaraju, Suresh Marru, Marlon Pierce, ''Extended Abstract: MultiCloud Resource Management using Apache Mesos for Planned Integration with Apache Airavata'', accepted for presentation and publication at the Science Gateways Workshop, November 2016.
    • K. D. Kang, "Reducing Deadline Misses and Power Consumption in Real-Time Databases", IEEE Real-Time Systems Symposium (RTSS '16), Porto, Portugal, November 2016.
    • Haris Ribic and Yu David Liu, "AEQUITAS: Coordinated Energy Management Across Parallel Applications,'' Proceedings of the International Conference on Supercomputing (ICS 2016), June 2016.
    • Philip Dexter, Yu David Liu and Kenneth Chiu, "Lazy Graph Processing in Haskell,'' Proceedings of the ACM SIGPLAN Haskell Symposium (Haskell 2016), September 2016.
    • Yuheng Long, Yu David Liu and Hridesh Rajan, "First-Class Effect Reflection for Effect-Guided Programming," ACM SIGPLAN Conference on Object-Oriented Programming, Systems, Languages and Applications (OOPSLA 2016), October 2016.
    • Gustavo Pinto, Kenan Liu, Fernando Castor and Yu David Liu, "A Comprehensive Study on the Energy Efficiency of Java Thread-Safe Collections," Proceedings of the International Conference on Software Maintenance and Evolution (ICSME 2016), October 2016.
    • Yu David Liu and Lukasz Ziarek, "Toward Energy-Aware Programming for Unmanned Aerial Vehicles.'' In International Workshop on Software Engineering for Smart Cyber-Physical Systems (SEsCPS 2017), affiliated with ICSE 2017, May 2017.
    • Yao Liu, Mengbai Xiao, Ming Zhang, Xin Li, Mian Dong, Zhan Ma, Zhenhua Li, Lei Guo, and Songqing Chen. "Content-Adaptive Display Power Saving for Internet Video Applications on Mobile Devices", ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 12(5), December 2016.
    • Chao Zhou, Zhenhua Li, and Yao Liu. "A Measurement Study of Oculus 360 Degree Video Streaming". Best Student Paper Award, Proceedings of the 8th ACM Multimedia Systems Conference (Research Track) (MMSys 2017), Taipei, Taiwan, June 2017.
    • Yue Zhang, Yao Liu. "Buffer-Based Reinforcement Learning for Adaptive Streaming", Proceedings of the 37th IEEE International Conference on Distributed Computing Systems (ICDCS 2017), June 2017.
    • Jiaqi Li, Weiyi Meng, Hongyan Liu, Shengyun Sun, Jun He, Zhicheng Dou, and Xiaoyong Du. "Mining Time-Sensitive Queries and their Sensitivities from Query Log". 4th CCF Big Data Conference, Lanzhou, China, October 2016.
    • Liang Zhu, Feifei Liu, Weiyi Meng, Qin Ma, Yu Wang, and Fang Yuan. "Evaluating Top-N Queries in n-Dimensional Normed Spaces". Information Sciences, 374:255-275, December 2016.
    • Jing Yuan, Lihong He, Eduard Dragut, Weiyi Meng, Clement Yu. "Result Merging for Structured Queries on the Deep Web with Active Relevance Weight Estimation". Information Systems, 64:93-103, March 2017.
    • Dmitry Evtyushkin, Dmitry Ponomarev, "Covert Channels through Random Number Generators: Mechanisms, Capacity Estimation and Mitigations", 23rd ACM Conference on Computer and Communications Security (CCS), Vienna, Austria, October 2016.
    • Dmitry Evtyushkin, Dmitry Ponomarev, Nael Abu-Ghazaleh, "Jump Over ASLR: Attacking Branch Predictors to Bypass ASLR", 49th International Symposium on Microarchitecture (MICRO), Taipei, Taiwan, October 2016.
    • Mehmet Kayaalp, Khaled Khasawneh, Hodjat Asghari-Esfeden, Jesse Elwell, Nael Abu-Ghazaleh, Dmitry Ponomarev, Aamer Jaleel, "RIC: Relaxed Inclusion Caches for Mitigatikng LLC Side-Channel Attacks", 54th Design Automation Conference (DAC), Austin, TX, June 2017.
    • Meltem Ozsoy, Khaled N. Khasawneh, Caleb Donovick, Iakov Gorelik, Nael B. Abu-Ghazaleh, Dmitry Ponomarev, "Hardware-Based Malware Detection Using Low-Level Architectural Features", IEEE Transactions on Computers, 65(11): 3332-3344, November 2016.
    • Barry Williams, Dmitry Ponomarev, Nael Abu-Ghazaleh, Philip Wilsey, "Performance Characterization of Parallel Discrete Event Simulation on Knights Landing Processor", ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (SIGSIM-PADS), Singapore, May 2017.
    • Xunchao Hu, Aravind Prakash, Jinghan Wang, Rundong Zhou, Yao Cheng, and Heng Yin "Semantics-Preserving Dissection of JavaScript Exploits via Dynamic JS-Binary Analysis". 19th Symposium on Research in Attacks, Intrusions and Defenses (RAID'16), September 2016.
    • Andrew Henderson, Lok Kwong Yan, Xunchao Hu, Aravind Prakash, Heng Yin, and Stephen McCamant. "DECAF: A Platform-Neutral Whole-System Dynamic Binary Analysis Platform," IEEE Transactions on Software Engineering (TSE), February 2017.
    • Mostafa Dehghan, Bo Jiang, Anand Seetharam, Ting He, Theodoros Salonidis, Jim Kurose, Don Towsley, Bo Jiang, Ramesh Sitaraman, "On the Complexity of Optimal Request Routing and Content Caching in Heterogeneous Cache Networks", IEEE/ACM Transactions on Networking, June 2017.
    • Bitan Banerjee, Anand Seetharam, Chintha Tellambura, "Greedy Caching: A Latency-aware Caching Strategy for Information-centric Networks", Proceedings of IFIP Networking 2017, June 2017.
    • Adita Kulkarni, Anand Seetharam. "Impact of Mobility on Performance of Caching Strategies in Information-centric Networks", Proceedings of ACM Mobisys Women Workshop 2017, June 2017.
    • Bitan Banerjee, Anand Seetharam, Amitava Mukherjee, Mrinal Naskar. "Characteristic time Routing in Information-centric Networks", Elsevier Computer Networks, February 2017.
    • Dolvara Gunatilaka, Mo Sha, and Chenyang Lu, "Impacts of Channel Selection on Industrial Wireless Sensor-Actuator Networks", IEEE Conference on Computer Communications (INFOCOM'17), May 2017.
    • Mo Sha, Dolvara Gunatilaka, and Chenyang Lu, "Empirical Study and Enhancements of Industrial Wireless Sensor-Actuator Network Protocols", IEEE Internet of Things Journal, 4(3):696-704, June 2017.
    • Di Mu, Yunpeng Ge, Mo Sha, Steve Paul, Niranjan Ravichandra, and Souma Chowdhury, "Adaptive Radio and Transmission Power Selection for Internet of Things", ACM/IEEE International Symposium on Quality of Service (IWQoS'17), June 2017.
    • Kirby, Ellington, Seoyoon Park, Yan Wang, and Yingying Chen. "HearHere: smartphone based audio localization using time difference of arrival." Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, pp. 509-510. ACM, 2016.
    • Guanhua Yan, Yunus Kucuk, Max Slocum, and David C. Last. "A Bayesian cognitive approach to quantifying software exploitability based on reachability testing." Proceedings of the 19th Information Security Conference (ISC'16), Hawaii, USA, September 2016.
    • Guanhua Yan. "Improving efficiency of link clustering on multi-core machines." Proceedings of the International Conference on Distributed Computing Systems (ICDCS'17), Atlanta, Georgia, USA, June 2017.
    • Luyang Liu, Hongyu Li, Jian Liu, Cagdas Karatas, Yan Wang, Marco Gruteser, Yingying Chen, Richard Martin, "BigRoad: Scaling Massive Road Data Acquisition for Dependable Self-Driving," Proceedings of the 15th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2017), Niagara Falls, NY, USA, June 2017.
    • Jian Liu, Yingying Chen, Marco Gruteser, Yan Wang, "VibSense: Sensing Touches on Ubiquitous Surfaces through Vibration," in Proceedings of the 14th IEEE International Conference on Sensing, Communication, and Networking (SECON 2017), San Diego, CA, USA, June 2017.
    • W. Li, Z. Zhu, F. Abtahi, and L. Yin. "EAC-Net: A Region-based Deep Enhancing and Cropping Approach for Facial Action Unit Detection". 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG), May 2017.
    • M. Valstar, E. Lozano, J. Cohn, L. Jeni, J. Girard, Z. Zhang, L. Yin, and M. Pantic. "FERA 2017 - Addressing Head Pose in the Third Facial Expression Recognition and Analysis Challenge", 12th IEEE International Conference on Automatic Face and Gesture Recognition (FG), May 2017.
    • L. Jeni, S. Tulyakov, L. Yin, N. Sebe, J. F. Cohn. "The First 3D Face Alignment in the Wild (3DFAW) Challenge", European Conference on Computer Vision (ECCV), Amsterdam, Netherlands, Oct. 2016.
    • Yongshu Bai, Xin Zhang, and Yifan Zhang. "Improving Cloud Storage Usage Experience for Mobile Applications", 7th ACM SIGOPS Asia-Pacific Workshop on Systems (ACM APSys), Hong Kong, China, August 2016.
    • Yongshu Bai and Yifan Zhang. "StoArranger: Enabling Efficient Usage of Cloud Storage Services on Mobile Devices", 37th IEEE International Conference On Distributed Systems (IEEE ICDCS), Atlanta, GA, USA, June 2017.
    • Yifan Zhang, Yunxin Liu, Xuanzhen Liu, and Qun Li. "Enabling Accurate and Efficient Modeling-based CPU Power Estimation for Smartphones", IEEE/ACM International Symposium on Quality of Service (IEEE/ACM IWQoS), Vilanova i la Geltru, Spain, June 2017.
    • Pengzhan Hao, Yongshu Bai, Xin Zhang, and Yifan Zhang. "EPS - Edge-hosted Personal Services for Mobile Users", Poster, 15th ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys), Niagara Falls, NY, USA, June 2017.
    • Xin Zhang, Yongshu Bai, Pengzhan Hao, and Yifan Zhang. "Securing Device Inputs for Smartphones Using Hypervisor Based Approach", Poster, 15th ACM International Conference on Mobile Systems, Applications, and Services (ACM MobiSys), Niagara Falls, NY, USA, June 2017.
    • Yaqing Zhang, Xi Li, Liming Zhao, and Zhongfei (Mark) Zhang. "Semantics-aware Deep Correspondence Structure Learning for Robust Person Re-identification", Proc. International Joint Conference on Artificial Intelligence (IJCAI 2016), NYC, NY, USA, July 2016.
    • Te Pi, Xi Li, Zhongfei (Mark) Zhang, Deyu Meng, Fei Wu, Jun Xiao, Yueting Zhuang. "Self-Paced Boost Learning for Classification", Proc. International Joint Conference on Artificial Intelligence (IJCAI 2016), NYC, NY, USA, July 2016.
    • Yingming Li, Ming Yang, Zenglin Xu, and Zhongfei (Mark) Zhang. "Multi-view Learning with Limited and Noisy Tagging", Proc. International Joint Conference on Artificial Intelligence (IJCAI 2016), NYC, NY, USA, July 2016.
    • Shuangfei Zhai, Keng-Hao Chang, Ruofei (Bruce) Zhang, and Zhongfei (Mark) Zhang. "DeepIntent: Learning Attentions for Online Advertising with Recurrent Neural Networks", Proc. ACM International Conference on Knowledge Discovery and Data Mining (ACM KDD 2016), San Francisco, CA, USA, August 2016.
    • Fei Wu, Zhuhao Wang, Zhongfei Zhang, Yi Yang, Jiebo Luo, Wenwu Zhu, and Yueting Zhang. "Weakly Semi-supervised Deep Learning for Multi-label Image Annotation", IEEE Transactions on Big Data, 1(3):109-122, September 2016.
    • Shuangfei Zhai, Yu Cheng, and Zhongfei (Mark) Zhang. "Doubly Convolutional Neural Networks", Proc. Advances in Neural Information Processing Systems (NIPS 2016), Barcelona, Spain, December 2016.
    • Siyu Huang, Xi Li, Zhongfei Zhang, Zhouzhou He, Fei Wu, Jinhui Tang, and Yueting Zhuang. "Deep Learning Driven Visual Path Prediction from a Single Image", IEEE Transactions on Image Processing, 26(12):5892-5904, December 2016.
    • Yueting Zhuang, Jun Song, Fei Wu, Xi Li, Zhongfei Zhang, and Yong Rui. "Multi-Modal Deep Embedding via Hierarchical Grounded Compositional Semantics", IEEE Transactions on Circuits and Systems for Video Technology, December 2016.
    • Xueyi Zhao, Xi Li, Zhongfei Zhang, Chunhua Shen, Yueting Zhang, Lixin Gao, and Xuelong Li. "Scalable Linear Visual Feature Learning Via Online Parallel Nonnegative Matrix Factorization", IEEE Transactions on Neural Networks and Learning Systems, 27(12):2628-2642, December 2016.
    • Peiguang Jing, Zhong Ji, Yunlong Yu, Zhongfei Zhang. "Visual Search Reranking with Relevant Local Discriminant Analysis", Neurocomputing, December 2016.
    • Yingming Li, Ming Yang, and Zhongfei (Mark) Zhang. "Learning with Feature Network and Label Network Simultaneously", Proc. AAAI International Conference on Artificial Intelligence (AAAI 2017), San Francisco, CA, USA, February 2017.
    • Nana Li, Shuangfei Zhai, and Zhongfei (Mark) Zhang. "Structural Correspondence Learning Based on Distributed Representation of Words for Cross-lingual Sentiment Classification", Proc. AAAI International Conference on Artificial Intelligence, AAAI 2017, San Francisco, CA, USA, February 2017.
    • Hanqi Wang, Yueting Zhuang, Jun Xiao, Fei Wu, Yi Yang, Weiming Lu, Zhongfei Zhang. "Bag-of-Discriminative-Words (BoDW) Representation via Topic Modeling", IEEE Transactions on Knowledge and Data Engineering, 29(5):977-990, May 2017.
  • 2015-2016
    • Haris Ribic and Yu David Liu, “AEQUITAS: Coordinated Energy Management Across Parallel Applications,” In Proceedings of the International Conference on Supercomputing (ICS), June 2016.
    • Mehmet Kayaalp, Nael Abu-Ghazaleh, Dmitry Ponomarev, Aamer Jaleel, "A High-Resolution Side-Channel Attack on Last Level Cache”, 53rd Design Automation Conference (DAC), Austin, TX, June 2016. Best Paper Nominee
    • F. Chai, T. Zhu, K. D. Kang, A Link-Correlation-Aware Cross-Layer Protocol for IoT Devices, IEEE International Conference on Communications (ICC '16), Kuala Lumpur, Malaysia, May 23 - 27, 2016.
    • Chenyang Lu, Abusayeed Saifullah, Bo Li, Mo Sha, Humberto Gonzalez, Dolvara Gunatilaka, Chengjie Wu, Lanshun Nie, and Yixin Chen. “Real-Time Wireless Sensor-Actuator Networks for Industrial Cyber-Physical Systems.” Proceedings of the IEEE, Special Issue on Industrial Cyber Physical Systems, Vol. 104, Issue 5, pp. 1013-1024, May 2016.
    • Qian Feng, Aravind Prakash, Minghua Wang, Curtis Carmony and Heng Yin. “ORIGEN: Automatic Extraction of Offset-Revealing Instructions for Cross-Version Memory Analysis”. In Proceedings of the 11th ACM Asia Conference on Computer and Communications Security (AsiaCCS’16), Xi’an, China, May 2016.
    • U. Deshpande, D. Chan, T-Y. Guh, J. Edouard, K. Gopalan, N. Bila, “Agile Live Migration of Virtual Machines”, In International Conference on Parallel and Distributed Systems (IPDPS), May 2016. (Acceptance Rate: 23%).
    • Chen Wang, Xiaonan Guo, Yan Wang, Yingying Chen, Bo Liu. “Friend or Foe? Your Wearable Devices Reveal Your Personal PIN.” The 11th ACM Symposium on Information, Computer and Communications Security (ASIACCS), May 2016.
    • Chunhua Shen, Xi Li, Anthony R. Dick, Zhongfei Zhang, Yueting Zhang, “Online Metric-Weighted Linear Representations for Robust Visual Tracking”, IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Computer Society Press, Volume 38, Number 5, Pages 931 - 950, May 2016.
    • Nemati, K., Alissa, H.A., Puvvadi, U., Murray, B. T., Sammakia, B., Ghose, K., “Experimental characterization of a Rear Door Heat exchanger with localized containment,” Proc. 15th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), May 2016, pp.710-719.
    • Alissa, H. A., Nemati, K., U Puvvadi, U., Sammakia, B. G., Ghose, K., Seymour, M. J., Tipton, R., Ken Schneebeli, K., “Empirical analysis of blower cooling failure in containment: Effects on IT performance,” Proc. 15th IEEE Intersociety Conference on Thermal and Thermomechanical Phenomena in Electronic Systems (ITherm), May 2016, pp. 1426-1434.
    • Wensheng Wu, Weiyi Meng, Weifeng Su, Quangyou Zhou, Yao-Yi Chiang. “Q2P: Discovering Query Templates via Autocompletion.” ACM Transactions on the Web (TWEB), 10(2):10, May 2016.
    • Xian Li, Weiyi Meng, Clement Yu. “Verification of Fact Statements with Multiple Truthful Alternatives.” 12th International Conference on Web Information Systems and Technologies (WEBIST), Rome, Italy, April 2016.
    • Shuangfei Zhai, Keng-Hao Chang, Ruofei (Bruce) Zhang, and Zhongfei (Mark) Zhang, “Attention Based Recurrent Neural Networks for Online Advertising”, Proc. ACM International Conference on WWW, Montreal, Quebec, Canada, April, 2016, (25% acceptance rate).
    • Cagdas Karatas, Luyang Liu, Hongyu Li, Jian Liu, Yan Wang, Sheng Tan, Jie Yang, Yingying Chen, Marco Gruteser, Richard Martin. “Leveraging Wearables for Steering and Driver Tracking.” IEEE International Conference on Computer Communications (INFOCOM), April 2016.
    • Chengjie Wu, Dolvara Gunatilaka, Abusayeed Saifullah, Mo Sha, Paras Babu Tiwari, Chenyang Lu, Yixin Chen. “Maximizing Network Lifetime of WirelessHART Networks under Graph Routing.” IEEE International Conference on Internet-of-Things Design and Implementation (IoTDI'16), April 2016 (acceptance ratio: 20.8%).
    • Jeff Bush, Khaled Z. Mahmoud, Mohammad A. Khasawneh, Timothy N. Miller, “NyuziRaster: Optimizing Rasterizer Performance and Energy in the Nyuzi Open Source GPU,” International Symposium on Performance Analysis of Systems and Software (ISPASS), April 2016, Uppsala, Sweden.
    • Dan Williams, Yaohui Hu, Umesh Deshpande, Nilton Bila, Kartik Gopalan, Hani Jamjoom, "Enabling Efficient Hypervisor-as-a-Service Clouds with Ephemeral Virtualization", In International Conference on Virtual Execution Environments (VEE), April 2016.
    • Yao Liu, Mengbai Xiao, Ming Zhang, Xin Li, Mian Dong, Zhan Ma, Zhenhua Li, Songqing Chen. “GoCAD: GPU-Assisted Online Content Adaptive Display Power Saving for Mobile Devices in Internet Streaming”, The 25th International World Wide Web Conference (WWW), April 2016. (Acceptance rate: 16%)
    • Dmitry Evtyushkin, Dmitry Ponomarev, Nael Abu-Ghazaleh. “Understanding and Mitigating Covert Channels through Branch Predictors.” ACM Transactions on Architecture and Code Optimization (ACM TACO), Vol. 13, Issue 1, March 2016.
    • Pankaj Saha, Madhusudhan Govindaraju, Suresh Marru, Marlon E. Pierce: Integrating Apache Airavata with Docker, Marathon, and Mesos. Concurrency and Computation: Practice and Experience 28(7): 1952-1959, March 2016.
    • P.M. Robson, A.J. Madhuranthakam, M.P. Smith, M.R.M. Sun, W. Dai,"Volumetric Arterial Spin-labeled Perfusion Imaging of the Kidneys with a Three-dimensional Fast Spin Echo Acquisition", Academic radiology 23 (2): 144-154, Feb. 2016
    • (Book) J. Nepkie, J. Aini, R. DeCarlo, D. DiRienzo, T. Good, F. Hildebrand, D. Pesta, William Ziegler; Internships and Co-ops: A Guide for Planning, Implementation, and Assessment; State University of New York, May, 2016; http://system.suny.edu/media/suny/content-assets/documents/faculty-senate/Internship-Guide-FINAL-(3.22.16).pdf
    • M. Cavallari, W. Dai, C.R.G. Guttmann, D.S. Meier, L.H. Ngo, T.T. Hshieh, "Neural substrates of vulnerability to postsurgical delirium as revealed by presurgical diffusion MRI", Brain, Feb, 2016.
    • Yingming Li, Ming Yang, and Zhongfei (Mark) Zhang, “Learning with Marginalized Corrupted Features and Labels Together”, Proc. AAAI International Conference on Artificial Intelligence, Phoenix, AZ, USA, February, 2016, (26% acceptance rate).
    • Shuangfei Zhai and Zhongfei (Mark) Zhang, “Semi-supervised Auto encoder for Sentiment Analysis”, Proc. AAAI International Conference on Artificial Intelligence, Phoenix, AZ, USA, February, 2016, (26% acceptance rate).
    • Elif Dede, Bedri Sendir, Pinar Kuzlu, John Richard Weachock, Madhusudhan Govindaraju, Lavanya Ramakrishnan, “Processing Cassandra Datasets with Hadoop-Streaming Based Approaches”, IEEE Transactions on Services Computing (TSC) 9(1):46-58, 2016.
    • Z. Zhang, J. Girard, Y. Wu, X. Zhang, P. Liu, U. Ciftci, S. Canavan, M. Reale, A. Horowitz, H. Yang, J. Cohn, Q. Ji, and L. Yin,  Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2016 (acceptance rate 25%)
    • S. Tulyakov, X. Alameda-Pineda, E. Ricci, L. Yin, N. Sebe, and J. Cohn, Self-Adaptive Matrix Completion for Heart Rate Estimation from Face Videos under Realistic Conditions, IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) 2016 (acceptance rate 4% for oral)
    • Y. Zhou, K. D. Kang, "Deadline Assignment and Feedback Control for Differentiated Real-Time Data Services", IEEE Transactions on Knowledge and Data Engineering, Volume 27, Issue 12, pages 3245-3257, December, 2015.
    • Abusayeed Saifullah, Dolvara Gunatilaka, Paras Tiwari, Mo Sha, Chenyang Lu, Bo Li, Chengjie Wu, and Yixin Chen. “Schedulability Analysis under Graph Routing in WirelessHART Networks.” IEEE Real-Time Systems Symposium (RTSS'15), December 2015 (acceptance ratio: 22.5%)
    • Aravind Prakash and Heng Yin. “Defeating ROP Through Denial of Stack Pivot.” Proceedings of Annual Computer Security Applications Conference (ACSAC’15), Los Angeles, CA, December 2015.
    • Jesse Elwell, Ryan Riley, Nael Abu-Ghazaleh, Dmitry Ponomarev, Iliano Cervesato. “Rethinking Memory Permissions for Protection Against Cross-Layer Attacks.” ACM Transactions on Architecture and Code Optimization (ACM TACO), Volume 12, Issue 4, Article No.56, December 2015.
    • U. L. N. Puvvadi, K. Di Benedetto, A. Patil, K. D. Kang, Y. Park, "Cost-Effective Security Support in Real-Time Video Surveillance", IEEE Transactions on Industrial Informatics, Volume 11, Issue 6, pages 1457 - 1465, December, 2015.
    • Jianli Pan, Raj Jain, Subharthi Paul, Tam Vu, Abusayeed Saifulla, Mo Sha. “An Internet of Things Framework for Smart Energy in Buildings: Designs, Prototype, and Experiments.” IEEE Internet of Things Journal, Vol. 2, Issue 6, pp. 527-537, December 2015.
    • Jessica Hartog, Renan Delvalle, Madhusudhan Govindaraju, Michael J. Lewis: Performance Analysis of Adapting a MapReduce Framework to Dynamically Accommodate Heterogeneity. Transactions on Large-Scale Data- and Knowledge-Centered Systems (TLSDKCS) 20:108-130 Dec. 2015.
    • Alissa, H.A., Nemati, K., Sammakia, B. G., Ghose, K., Seymour, M., King, D. and Tipton, R., “Ranking and Optimization of CAC and HAC Leakage Using Pressure Controlled Models,” Proc. ASME 2015 International Mechanical Engineering Congress and Exposition (IMECE), Nov. 2015.
    • Yi Xu, Yilin Zhu, Zhongfei (Mark) Zhang, Yaqing Zhang, Philip S. Yu, “Convex Approximation to the Integral Mixture Models Using Step Functions”, Proc. IEEE International Conference on Data Mining, Atlantic City, NJ, USA, November, 2015, (8.4% acceptance rate).
    • Khaled Khasawneh, Meltem Ozsoy, Caleb Donovick, Nael Abu-Ghazaleh and Dmitry Ponomarev. “Ensemble Learning for Low-level Hardware-Supported Malware Detection.” 18th International Symposium on Research in Attacks, Intrusions and Defenses (RAID), Kyoto, Japan, November 2015, pp.3-25. 
    • W. Dai, G. Varma, R Scheidegger, D.C. Alsop. "Quantifying fluctuations of resting state networks using arterial spin labeling perfusion MRI", Journal of Cerebral Blood Flow & Metabolism 36(3):463-473, Nov. 2015.
    • G. Chen, K. D. Kang, "Win-Fit: Efficient Intersection Management via Dynamic Vehicle Batching and Scheduling," IEEE International Conference on Connected Vehicles and Expo (ICCVE '15), Shenzhen, China, October 19 - 23, 2015.
    • Yi Xu, Zhongfei (Mark) Zhang, Yaqing Zhang, Philip S. Yu, “Sensor Network Partitioning based on Homogeneity”, Proc. IEEE International Conference on Data Science and Analytical Analysis, Paris, France, October, 2015, (22% acceptance rate).
    • Xueyi Zhao, Xi Li, Zhongfei Zhang, “Joint Structural Learning to Rank with Deep Linear Feature Learning”, IEEE Transactions on Knowledge and Data Engineering, Volume 27, Number 10, Pages 2756 - 2769, Oct 2015.
    • Jing Wang, Clement Yu, Philip Yu, Bing Liu, and Weiyi Meng. “Diversionary Comments under Blog Posts.” ACM Transactions on the Web (TWEB), 9(4):18, October 2015.
    • Liang Zhu, Qin Ma, Weiyi Meng, Mingqian Yang, and Fang Yuan. “An Experimental Evaluation of Aggregation Algorithms for Processing Top-K Queries.” 15th IEEE International Conference on Computer and Information Technology (CIT-2015), pp.326-333, Liverpool, England, UK, October 2015.
    • Zhenhua Li, Christo Wilson, Tianyin Xu, Yao Liu, Zhen Lu, and Yinlong Wang. “Offline Downloading in China: A Comparative Study”, The 15th ACM Internet Measurement Conference (IMC), Oct. 2015.
    • Shaun Canavan, Peng Liu, Xing Zhang, and Lijun Yin. “Landmark Localization on 3D/4D Range Data Using a Shape Index-Based Statistical Shape Model with Global and Local Constraints.” Computer Vision and Image Understanding (Special issue on Shape Representations Meet Visual Recognition), Vol. 139, Oct. 2015. P136-148.
    • Ed Novak, Yutao Tang, Zijiang Hao, Qun Li, Yifan Zhang, "Physical Media Covert Channels on Smart Mobile Devices", ACM Ubicomp 2015, Osaka, Japan, Sep. 7-11, 2015.
    • Alkharabsheh, S., Fernandes, J., Gebrehiwot, B., Agonafer, D., Ghose, K., Ortega, A., Joshi, Y., Sammakia, B., “Brief Overview of Recent Developments in Thermal Management in Data Centers,” ASME Journal of Electronic Packaging, Vol. 137, No. 4, Sept. 2015.
    • Xueyi Zhao, Xi Li, and Zhongfei Zhang, “Multimedia Retrieval via Deep Learning to Rank”, Proc. IEEE International Conference on Image Processing, Quebec City, Canada, September, 2015.
    • Zhouzhou He, Zhongfei Zhang, Chunming Chen, and Zhenggang Wang, “E-Commerce Business Model Mining and Prediction,” Frontiers of Information Technology and Electronic Engineering, Springer, Volume 16, Number 9, Pages 707-719, Sept 2015.
    • S. Canavan, L. Yin, P. Liu, and X. Zhang, “Feature Detection and Tracking on Geometric Mesh Data Using a Combined Global and Local Shape Model for Face and Facial Expression Analysis.” International Conference of Biometrics, Theory, Applications and Systems, (BTAS’15), Sept., 2015.
    • Qingyuan Liu, Eduard Dragut, Arjun Mukherjee, and Weiyi Meng. “FLORIN - A System to Support (Near) Real-Time Applications on User Generated Content for Daily News.” International Conference on Very Large Data Bases (VLDB), Demo Paper, pp.1944-1947, Hawaii, September 2015.
    • Zhong Ji, Yunlong Yu,  Yanwei Pang, Yingming Li, Zhongfei Zhang, “Marginal Fisher Regression Classification for Face Recognition”, Proc. Pacific-Rim Conference on Multimedia, Gwangju, Korea, September, 2015.
    • Umesh Deshpande, Danny Chan, Steven Chan, Kartik Gopalan, Nilton Bila, "Scatter-Gather Live Migration of Virtual Machines", In IEEE Transactions on Cloud Computing, September 2015, DOI: 10.1109/TCC.2015.2481424 http://ieeexplore.ieee.org/document/7274710/
    • Jian Li, Zhenhua Li, Yao Liu, Zhi-Li Zhang. “Twin Clouds Make Smoothness for Transoceanic Video Telephony”, The 44th International Conference on Parallel Processing (ICPP), Sept. 2015.
    • X. Zhang, Z. Zhang, D. Hipp, L. Yin, and P. Gerhardstein, “Perception Driven 3D Facial Expression Analysis Based on Reverse Correlation and Normal Component”, AAAC 6th International Conference on Affective Computing and intelligent Interaction (ACII 2015) (Association for the Advancement of Affective Computing), Sept. 2015.
    • Xin Zhang and Yongshu Bai, Yifan Zhang, "Uses of Hardware Virtualization for Secure and Trusted Computing: A Review", Smart Computing Review, vol.5, no.4, August 2015.
    • X. Zhang, U. Ciftci, and L. Yin. “Mouth Gesture based Emotion Awareness and Interaction in Virtual Reality.” ACM SIGGRAPH, August 2015.
    • Hongxu Zhang, Yufeng Wang, Chiu C. Tan, Yifan Zhang. "mQual: A Mobile Peer-to-Peer Network Framework Supporting Quality of Service", IEEE ICDCS 2015, poster session, June 29 - July 2, 2015. 
    • Siliang Tang, Fei Wu, Si Li, and Zhongfei (Mark) Zhang, “Sketch the Storyline with CHARCOAL: a Non-parametric Approach”, Proc. International Joint Conference on Artificial Intelligence, Buenos Aires, Argentina, July, 2015, (28.8% acceptance rate).
    • Mengbai Xiao, Yao Liu, Lei Guo, Songqing Chen. “Reducing Display Power Consumption for Real-time Video Calls on Mobile Devices”, 2015 International Symposium on Low Power Electronics and Design (ISLPED), July 2015.
  • 2014-2015
    • Garcia, A., Mattison, E., & Ghose, K. “High-speed vision-based autonomous indoor navigation of a quadcopter,” in Proc. Unmanned Aircraft Systems (ICUAS), 2015. International Conference on (pp. 338-347). IEEE. Publication date: 09/Jun/15
    • Tianlin Li, Yaohui Hu, Ping Yang, Kartik Gopalan, "Privacy-preserving Virtual Machines", 31th Annual Computer Security Applications Conference (ACSAC), Dec. 2015, Los Angeles, CA.
    • Dmitry Evtyushkin, Dmitry Ponomarev and Nael Abu-Ghazaleh. “Covert Channels through Branch Predictors: A Feasibility Study.”  4th Workshop on Hardware and Architecture Support for Security and Privacy (HASP), held in conjunction with ISCA, Portland, OR, June 2015. 
    • Yaohui Hu, Sanket Panhale, Tianlin Li, Emine Ugur Kaynar, Danny Chan, Umesh Deshpande, Ping Yang, Kartik Gopalan, "Performance Analysis of Encryption in Securing the Live Migration of Virtual Machines", In IEEE Cloud, Jun 2015.
    • Stachecki, T.J., & Ghose, K., “Short-term Load Prediction and Energy-Aware Load Balancing for Data Centers Serving Online Requests,” in Proc. Resource-Efficient Cloud Computing Workshop, held in conjunction with Intl. Symposium on Computer Architecture (peer-reviewed, 27% acceptance rate), June 2015.
    • Chauhan, A., Sammakia, B., & Ghose, K. (2015, March). “Transient power analysis to estimate the thermal time lag of a microprocessor hot spot,” in Proc. Thermal Measurement, Modeling & Management Symposium (SEMI-THERM), March 2015, pp.75-81.
    • Kai Wang, Guoqing Xu, Zhendong Su, Yu David Liu. "GraphQ: Graph Query Processing with Abstraction Refinement," USENIX ATC, 2015.
    • Afram, F., & Ghose, K. “Flexcore: A Reconfigurable Processor Supporting Flexible, Dynamic Morphing,” in Proc. IEEE Int’l. Conf. on High-Performance Computing, pp.30-39, doi:10.1109/HiPC.2015.37.
    • Yuheng Long, Yu David Liu, Hridesh Rajan, "Intensional Effect Polymorphism," ECOOP, 2015.