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

  • 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.