Publications
PDF access and copyright: The copyrights to many of the publications listed here belong to the publishers. I believe fair use provisions of copyright law permit me to distribute copies for academic/ research purposes.
(underline denotes the author was/is a student in my lab when working on the paper, '*' indicates alphabetical order and/or equal contribution)
Books and Book Chapters
Zhishan Guo and Sanjoy Baruah. Mixed-Criticality Real-Time Systems. In Cyber-Physical Systems: A Reference, Springer, 2019.
Simone Silvestri, Ken Goss, Zhishan Guo, and Ashikahmed Bhuiyan. Algorithms CS2500. Open Educational Resources (OER) in Missouri University of Science and Technology Scholars' Mine Course Materials, 2018.
Journal Papers
[J38] Md Moniruzzaman, Zhaozheng Yin, Md Sanzid Bin Hossain, Zhishan Guo and Hwan Choi. Wearable Motion Capture: Reconstructing and Predicting 3D Human Poses from Wearable Sensors, IEEE Journal of Biomedical and Health Informatics, 2023. (to appear)[J37] Md Sanzid Bin Hossain, Zhishan Guo and Hwan Choi. Estimation of Lower Extremity Joint Moments and 3D Ground Reaction Forces Using IMU Sensors in Multiple Walking Conditions: A Deep Learning approach, IEEE Journal of Biomedical and Health Informatics, 2023. (to appear)
[J36] Federico Reghenzani, Zhishan Guo and William Fornaciari. Software Fault Tolerance in Real-Time Systems: Identifying the Future Research Questions, ACM Computing Surveys, 55, 14s, Article 306, December 2023, pp. 1--30. [doi] [cite] [J35] Nicholas Gray*, Megan Moraes*, Alex Wang*, Jiang Bian*, Allen Tian, Kurt Wilson, Yan Huang, Haoyi Xiong, Zhishan Guo. GLARE: A Dataset for Traffic Sign Detection in Sun Glare, IEEE Transactions on Intelligent Transportation Systems, November 2023, 24-11, pp. 12323 - 12330. [doi] [cite] [data] [J34] Tarek Abdelzaher*, Kunal Agrawal*, Sanjoy Baruah*, Alan Burns*, Robert I. Davis*, Zhishan Guo*, and Yigong Hu*. Scheduling IDK classifiers with arbitrary dependences to minimize the expected time to successful classification, Real-Time Systems, 59, pp. 348--407, March 2023. [doi] [cite] [J33] Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang and Zhishan Guo. AA-Forecast: Anomaly-Aware Forecast for Extreme Events, Data Mining Knowledge Discover, 37, pp. 1209--1229, March 2023. [doi] [cite][J32] Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong and Sajal Das. Dynamic Path Planning for Unmanned Aerial Vehicles Under Deadline and Sector Capacity Constraints, IEEE Transactions on Emerging Topics in Computational Intelligence, August 2022, pp. 839--851. [doi] [cite]
[J31] Md Sanzid Bin Hossain, Joseph Dranetz, Hwan Choi and Zhishan Guo. DeepBBWAE-Net: A CNN-RNN Based Deep SuperLearner for Estimating Lower Extremity Sagittal Plane Joint Kinematics Using Shoe-Mounted IMU Sensors in Daily Living, IEEE Journal of Biomedical and Health Informatics, August 2022, pp. 3906--3917. [doi] [cite]
[J30] Zhishan Guo, Sudharsan Vaidhun, Luca Satinelli, Samsil Arefin, Jun Wang and Kecheng Yang. Mixed-Criticality Scheduling Upon Permitted Failure Probability and Dynamic Priority, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, January 2022, pp. 62--75. [doi] [cite]
[J29] Jiang Bian, Abdullah Arafat, Haoyi Xiong, Jing Li, Li Li, Hongyang Chen, Jun Wang, Dejing Dou and Zhishan Guo. Machine Learning in Real-Time Internet of Things (IoT) Systems: A Survey, IEEE Internet of Things Journal, June 2022, pp. 8364--8386. [doi] [cite]
[J28] Yang Wang, Xu Jiang, Nan Guan, Zhishan Guo, Xue Liu and Wang Yi. Partitioning-Based Scheduling of OpenMP Task Systems With Tied Tasks, IEEE Transactions on Parallel and Distributed Systems, June 2021, pp. 1322--1339. [doi] [cite]
[J27] Kafeng Wang, Haoyi Xiong, Jiang Bian, Zhanxing Zhu, Qian Gao, Zhishan Guo, Cheng-Zhong Xu, Jun Huan and Dejing Dou. Sampling Sparse Representations with Randomized Measurement Langevin Dynamics, ACM Transactions on Knowledge Discovery from Data, April 2021, pp. 1--21. [doi] [cite]
[J26] Xingwu Liu, Xin Han, Liang Zhao and Zhishan Guo. Narrowing the speedup factor gap of partitioned EDF, Information and Computation, December 2021, pp. 104743. [doi] [cite]
[J25] Arthur Huang, Tyler Fisher, Huiling Ding and Zhishan Guo. A network analysis of cross-occupational skill transferability for the hospitality industry, International Journal of Contemporary Hospitality Management, November 2021, pp. 4215--4236. [doi] [cite]
[J24] Jiang Bian, Sijia Yang, Haoyi Xiong, Licheng Wang, Yanjie Fu, Zeyi Sun, Zhishan Guo and Jun Wang. CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data, IEEE Transactions on Emerging Topics in Computational Intelligence, August 2021, pp. 541--553. [doi] [cite]
[J23] Ashikahmed Bhuiyan, Kecheng Yang, Samsil Arefin, Abusayeed Saifullah, Nan Guan and Zhishan Guo. Mixed-criticality real-time scheduling of gang task systems, Real-Time Systems, July 2021, pp. 268--301. [doi] [cite]
[J22] Baoxin Zhao, Haoyi Xiong, Jiang Bian, Zhishan Guo, Cheng-Zhong Xu and Dejing Dou. COMO: Efficient Deep Neural Networks Expansion With COnvolutional MaxOut, IEEE Transactions on Multimedia, 2021, pp. 1722--1730. [doi] [cite]
[J21] Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan and Zhishan Guo. Efficient Feasibility Analysis for Graph-Based Real-Time Task Systems, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, November 2020, pp. 3385--3397. [doi] [cite]
[J20] Arthur Huang, Christos Makridis, Mark Baker, Marcos Medeiros and Zhishan Guo. Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries, SSRN Electronic Journal, 2020. [doi] [cite]
[J19] Songran Liu, Nan Guan, Zhishan Guo and Wang Yi. MiniTEE—A Lightweight TrustZone-Assisted TEE for Real-Time Systems, Electronics, July 2020, pp. 1130. [doi] [cite]
[J18] Jiang Bian, Haoyi Xiong, Yanjie Fu, Jun Huan and Zhishan Guo. MP $^\textrm2$ SDA: Multi-Party Parallelized Sparse Discriminant Learning, ACM Transactions on Knowledge Discovery from Data, June 2020, pp. 1--22. [doi] [cite]
[J17] Ashikahmed Bhuiyan, Federico Reghenzani, William Fornaciari and Zhishan Guo. Optimizing Energy in Non-Preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, November 2020, pp. 3906--3917. [doi] [cite]
[J16] Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan and Zhishan Guo. Energy-Efficient Parallel Real-Time Scheduling on Clustered Multi-Core, IEEE Transactions on Parallel and Distributed Systems, September 2020, pp. 2097--2111. [doi] [cite]
[J15] Yongliang Yang, Zhishan Guo, Haoyi Xiong, Da-Wei Ding, Yixin Yin and Donald Wunsch. Data-Driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-Policy Reinforcement Learning, IEEE Transactions on Neural Networks and Learning Systems, December 2019, pp. 3735--3747. [doi] [cite]
[J14] Qingqiang He, Xu Jiang, Nan Guan and Zhishan Guo. Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-Cores, IEEE Transactions on Parallel and Distributed Systems, October 2019, pp. 2283--2295. [doi] [cite]
[J13] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu, Zeyi Sun and Zhishan Guo. DBSDA: Lowering the Bound of Misclassification Rate for Sparse Linear Discriminant Analysis via Model Debiasing, IEEE Transactions on Neural Networks and Learning Systems, March 2019, pp. 707--717. [doi] [cite]
[J12] Mingxiong Zhao, Di Liu, Xu Jiang, Weichen Liu, Gang Xue, Cheng Xie, Yun Yang and Zhishan Guo. CASS: Criticality-Aware Standby-Sparing for real-time systems, Journal of Systems Architecture, 2019, pp. 101661. [doi] [cite]
[J11] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng and Wang Yi. A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks Under GEDF, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, November 2018, pp. 2200--2211. [doi] [cite]
[J10] Ashikahmed Bhuiyan, Zhishan Guo, Abusayeed Saifullah, Nan Guan and Haoyi Xiong. Energy-Efficient Real-Time Scheduling of DAG Tasks, ACM Transactions on Embedded Computing Systems, September 2018, pp. 1--25. [doi] [cite] (DAG Task Generator, Artifact Evaluated)
[J9] Haoyi Xiong, Daqing Zhang, Zhishan Guo, Guanling Chen and Laura Barnes. Near-Optimal Incentive Allocation for Piggyback Crowdsensing, IEEE Communications Magazine, 2017, pp. 120--125. [doi] [cite]
[J8] Zhishan Guo and Sanjoy Baruah. A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility, IEEE Transactions on Neural Networks and Learning Systems, February 2016, pp. 238--248. [doi] [cite]
[J7] Wei Cheng, Zhishan Guo, Xiang Zhang and Wei Wang. CGC: A Flexible and Robust Approach to Integrating Co-Regularized Multi-Domain Graph for Clustering, ACM Transactions on Knowledge Discovery from Data, July 2016, pp. 1--27. [doi] [cite]
[J6] James Crowley, Vasyl Zhabotynsky, Wei Sun, Shunping Huang, Isa Pakatci, Yunjung Kim, Jeremy Wang, Andrew Morgan, John Calaway, David Aylor, Zaining Yun, Timothy Bell, Ryan Buus, Mark Calaway, John Didion, Terry Gooch, Stephanie Hansen, Nashiya Robinson, Ginger Shaw, Jason Spence, Corey Quackenbush, Cordelia Barrick, Randal Nonneman, Kyungsu Kim, James Xenakis, Yuying Xie, William Valdar, Alan Lenarcic, Wei Wang, Catherine Welsh, Chen-Ping Fu, Zhaojun Zhang, James Holt, Zhishan Guo, David Threadgill, Lisa Tarantino, Darla Miller, Fei Zou, Leonard McMillan, Patrick Sullivan and Fernando Pardo-Manuel De Villena. Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance, Nature Genetics, April 2015, pp. 353--360. [doi] [cite] (News reports - Genetically speaking, mammals are more like their fathers: i, ii, iii, iv)
[J5] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. Graph-regularized dual Lasso for robust eQTL mapping, Bioinformatics, June 2014, pp. i139--i148. [doi] [cite]
[J4] Zhishan Guo and Sanjoy Baruah. Implementing Mixed-criticality Systems Upon a Preemptive Varying-speed Processor, Leibniz Transactions on Embedded Systems, November 2014, pp. 03:1--03:19 Pages. [doi] [cite] (Artwork Size: 03:1–03:19 Pages Publisher: Leibniz Transactions on Embedded Systems)
[J3] Qingshan Liu, Zhishan Guo and Jun Wang. A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for dynamic portfolio optimization, Neural Networks, February 2012, pp. 99--109. [doi] [cite]
[J2] Zhishan Guo, Qingshan Liu and Jun Wang. A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints, IEEE Transactions on Neural Networks, December 2011, pp. 1892--1900. [doi] [cite]
[J1] Wenbing Xu and Zhishan Guo. Three-Failure Match, Mathematics in Practice and Theory (in Chinese), January 2004, pp. 14--19.
Conference Publications (Full papers of 6 pages and above)
[C82] Yuxiao Zhou, Zhishan Guo, Zheng Dong and Kecheng Yang. Multi-Accelerator Neural Network Inference via TensorRT in Heterogeneous Embedded Systems. The 48th IEEE International Conference on Computers, Software, and Applications (COMPSAC), Osaka, Japan, July 2024 [C81] Xinning Hui, Yuanchao Xu, Zhishan Guo, Xipeng Shen. ESG: Pipeline-Conscious Efficient Scheduling of DNN Workflows on Serverless Platforms with Shareable GPUs. The ACM International Symposium on High-Performance, Parallel and Distributed Computing (HPDC), Pisa, Italy, June 2024. [C80] Md Sanzid Bin Hossain, Zhishan Guo, Ning Sui, Hwan Choi. Predicting Lower Extremity Joint Kinematics Using Multi-Modal Data in the Lab and Outdoor Environment. 57th Hawaii International Conference on System Sciences (HICSS), pages 1-10, Honolulu, HI, January 2024. [C79] Zhishan Guo, Sudharsan Vaidhun, Abdullah Al Arafat, Nan Guan and Kecheng Yang. Stealing Static Slack via WCRT and Sporadic P-Servers in Deadline-Driven Scheduling, 2023 IEEE Real-Time Systems Symposium (RTSS), Taipei, December 2023. [C78] Jinghao Sun, Tianyi Wang, Yang Li, Nan Guan, Zhishan Guo, Qingxu Deng, Guozhen Tan. SEAM: An Optimal Message Synchronizer in ROS with Well-Bounded Time Disparity, 2023 IEEE Real-Time Systems Symposium (RTSS), Taipei, December 2023. (Best Paper Award) [C77] Yixin Li, Ning Sui, Leo Dong, Chengan Guo, Zhishan Guo. Real-Time Deep Learning Framework for Dermatology Image Classification on Low-Power Embedded Devices, The 13th International Conference on Information Science and Technology (ICIST), Cairo, Egypt, December 2023. [C76] Yuxiao Zhou, Zhishan Guo, Zheng Dong, Kecheng Yang. TensorRT Implementations of Model Quantization on Edge SoC, The 16th IEEE International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Singapore, December 2023. [C75] Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo and Adnan Siraj Rakin, SSDA: Secure Source-Free Domain Adaptation, 2023 IEEE/CVF International Conference on Computer Vision (ICCV), Paris, France, October 2023. [C74] Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang and Zhishan Guo. Time Series Prediction with Anomaly-Aware Recurrent Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECMLPKDD), Turin, Italy, September 2023. [doi] [cite] [C73] Ashikahmed Bhuiyan, Mohammad Pivezhandi, Zhishan Guo, Jing Li, Venkata Prashant Modekurthy and Abusayeed Saifullah, Precise Scheduling of DAG Tasks with Dynamic Power Management, The 35th Euromicro Conference on Real-Time Systems (ECRTS 2023), pages 8:1--8:24, Vienna, Austria, July 2023. [doi] [cite] [C72] Jinghao Sun, Kailu Duan, Xisheng Li, Nan Guan, Zhishan Guo, Qingxu Deng and Guozhen Tan. Real-Time Scheduling of Autonomous Driving System with Guaranteed Timing Correctness, The 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), San Antonio, TX, May 2023. [doi] [cite] [C71] Abdullah Al Arafat, Sudharsan Vaidhun, Liangkai Liu, Kecheng Yang and Zhishan Guo. Compositional Mixed-Criticality Systems with Multiple Executions and Resource-Budgets Model, The 29th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), San Antonio, TX, May 2023. [doi] [cite][C70] Ruoxiang Li, Nan Guan, Xu Jiang, Zhishan Guo, Zheng Dong and Mingsong Lv. Worst-Case Time Disparity Analysis of Message Synchronization in ROS, 2022 IEEE Real-Time Systems Symposium (RTSS), Houston, TX, USA, December 2022, pp. 40--52. [doi] [cite]
[C69] Ran Bi, Qingqiang He, Jinghao Sun, Zhenyu Sun, Zhishan Guo, Nan Guan and Guozhen Tan. Response Time Analysis for Prioritized DAG Task with Mutually Exclusive Vertices, 2022 IEEE Real-Time Systems Symposium (RTSS), Houston, TX, USA, December 2022, pp. 460--473. [doi] [cite]
[C68] Md Sanzid Bin Hossain, Zhishan Guo and Hwan Choi. Estimation of Hip, Knee, and Ankle Joint Moment Using a Single IMU Sensor on Foot Via Deep Learning, 2022 IEEE/ACM Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE), Washington DC, November 2022, pp. 25--33. (ISSN: 2832-2975) [cite]
[C67] Md Sanzid Bin Hossain, Zhishan Guo and Hwan Choi. Estimating Ground Reaction Forces (GRF) and Lower Extremity Joint Moment in Multiple Walking Environment Using Deep Learning, Abstracts of the 27th Annual Meeting of the GCMAS, September 2022. [doi] [cite][C66] Ashkan Farhangi, Ning Sui, Nan Hua, Haiyan Bai, Arthur Huang and Zhishan Guo. Protoformer: Embedding Prototypes for Transformers, Advances in Knowledge Discovery and Data Mining: 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16–19, 2022, Proceedings, Part I, Berlin, Heidelberg, May 2022, pp. 447--458. [doi] [cite]
[C65] Abdullah Arafat, Sudharsan Vaidhun, Kurt Wilson, Jinghao Sun and Zhishan Guo. Response time analysis for dynamic priority scheduling in ROS2, 59th ACM/IEEE Design Automation Conference, San Francisco California, July 2022, pp. 301--306. [doi] [cite] (Publicity Paper Award)
[C64] Federico Reghenzani, Zhishan Guo, Luca Santinelli and William Fornaciari. A Mixed-Criticality Approach to Fault Tolerance: Integrating Schedulability and Failure Requirements, 2022 IEEE 28th Real-Time and Embedded Technology and Applications Symposium (RTAS), Milano, Italy, May 2022, pp. 27--39. [doi] [cite]
[C63] Ashkan Farhangi, Arthur Huang and Zhishan Guo. A Novel Deep Learning Model For Hotel Demand and Revenue Prediction amid COVID-19, 55th Hawaii International Conference on System Sciences (HICSS), pages 1-10, January 2022. [doi] [cite] (Best Paper Candidate, Decision Analytics and Service Science Track)[C62] Jinghao Sun, Nan Guan, Zhishan Guo, Yekai Xue, Jing He and Guozhen Tan. Calculating Worst-Case Response Time Bounds for OpenMP Programs with Loop Structures, 2021 IEEE Real-Time Systems Symposium (RTSS), Dortmund, DE, December 2021, pp. 123--135. [doi] [cite]
[C61] Federico Reghenzani, Ashikahmed Bhuiyan, William Fornaciari and Zhishan Guo. A Multi-Level DPM Approach for Real-Time DAG Tasks in Heterogeneous Processors, 2021 IEEE Real-Time Systems Symposium (RTSS), Dortmund, DE, December 2021, pp. 14--26. [doi] [cite]
[C60] Xingwu Liu, Zizhao Chen, Xin Han, Zhenyu Sun and Zhishan Guo. Tighter Bounds of Speedup Factor of Partitioned EDF for Constrained-Deadline Sporadic Tasks, 2021 IEEE Real-Time Systems Symposium (RTSS), Dortmund, DE, December 2021, pp. 431--440. [doi] [cite]
[C59] Tianning She, Sudharsan Vaidhun, Qijun Gu, Sajal Das, Zhishan Guo and Kecheng Yang. Precise Scheduling of Mixed-Criticality Tasks on Varying-Speed Multiprocessors, 29th International Conference on Real-Time Networks and Systems, NANTES France, April 2021, pp. 134--143. [doi] [cite] (Related Code)
[C58] Tianning She, Zhishan Guo, Qijun Gu and Kecheng Yang. Reserving Processors by Precise Scheduling of Mixed-Criticality Tasks, 2021 IEEE 27th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Houston, TX, USA, August 2021, pp. 103--108. [doi] [cite]
[C57] Abdullah Arafat, Zhishan Guo and Amro Awad. VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets, 2021 IEEE Virtual Reality and 3D User Interfaces (VR), Lisboa, Portugal, March 2021, pp. 564--572. [doi] [cite]
[C56] Kunal Agrawal, Sanjoy Baruah, Zhishan Guo, Jing Li and Sudharsan Vaidhun. Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay, 2020 IEEE Real-Time Systems Symposium (RTSS), Houston, TX, USA, December 2020, pp. 63--75. [doi] [cite] (Artifect-Evaluated Code)
[C55] Kunal Agrawal, Sanjoy Baruah, Zhishan Guo and Jing Li. The safe and effective application of probabilistic techniques in safety-critical systems, Proceedings of the 39th International Conference on Computer-Aided Design, Virtual Event USA, November 2020, pp. 1--9. [doi] [cite] (Pitch Talk, Full Presentation)
[C54] Jinghao Sun, Rongxiao Shi, Kexuan Wang, Nan Guan and Zhishan Guo. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems, International Conference on Embedded Software (EMSOFT), September 2020, pp. 3385--3397. (Best Paper Award)
[C53] Ashikahmed Bhuiyan, Federico Reghenzani, William Fornaciari and Zhishan Guo. Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information, International Conference on Embedded Software (EMSOFT), September 2020, pp. 3906--3917.
[C52] Kecheng Yang, Ashikahmed Bhuiyan and Zhishan Guo. F2VD: Fluid Rates to Virtual Deadlines for Precise Mixed-Criticality Scheduling on a Varying-Speed Processor, 2020 IEEE/ACM International Conference On Computer Aided Design (ICCAD), November 2020, pp. 1--9. (ISSN: 1558-2434)
[C51] Sudharsan Vaidhun, Zhishan Guo, Jiang Bian, Haoyi Xiong and Sajal Das. Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities, 2020 12th International Conference on Advanced Computational Intelligence (ICACI), Dali, China, August 2020, pp. 529--535. [doi] [cite]
[C50] Jinghao Sun, Feng Li, Nan Guan, Wentao Zhu, Minjie Xiang, Zhishan Guo and Wang Yi. On Computing Exact WCRT for DAG Tasks, 2020 57th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, July 2020, pp. 1--6. [doi] [cite] [C49] Abusayeed Saifullah, Sezana Fahmida, Venkata Modekurthy, Nathan Fisher and Zhishan Guo. CPU Energy-Aware Parallel Real-Time Scheduling, 32nd Euromicro Conference on Real-Time Systems (ECRTS 2020), Dagstuhl, Germany, July 2020, pp. 2:1--2:26. [doi] [cite] (ISSN: 1868-8969)[C48] Jinghao Sun, Jing Li, Zhishan Guo, An Zou, Xuan Zhang, Kunal Agrawal and Sanjoy Baruah. Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading, 2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Sydney, NSW, Australia, April 2020, pp. 56--69. [doi] [cite]
[C47] Jinghao Sun, Yaoyao Chi, Tianfei Xu, Lei Cao, Nan Guan, Zhishan Guo and Wang Yi. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms, 2020 Design, Automation \& Test in Europe Conference \& Exhibition (DATE), Grenoble, France, March 2020, pp. 204--209. [doi] [cite]
[C46] Zhishan Guo, Kecheng Yang, Fan Yao and Amro Awad. Inter-task cache interference aware partitioned real-time scheduling, Proceedings of the 35th Annual ACM Symposium on Applied Computing, Brno Czech Republic, March 2020, pp. 218--226. [doi] [cite]
[C45] Li Li, Haoyi Xiong, Zhishan Guo, Jun Wang and Cheng-Zhong Xu. SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System, 2019 IEEE Real-Time Systems Symposium (RTSS), Hong Kong, Hong Kong, December 2019, pp. 406--418. [doi] [cite]
[C44] Jiang Bian, Weibo Wang, Xiang Zhang, Wei Wang, Arthur Huang and Zhishan Guo. On Generating Dominators of Customer Preferences, 2019 IEEE International Conference on Big Data (Big Data), Los Angeles, CA, USA, December 2019, pp. 2177--2186. [doi] [cite]
[C43] Ashikahmed Bhuiyan, Kecheng Yang, Samsil Arefin, Abusayeed Saifullah, Nan Guan and Zhishan Guo. Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems, 2019 IEEE Real-Time Systems Symposium (RTSS), Hong Kong, Hong Kong, December 2019, pp. 469--480. [doi] [cite] (Outstanding Paper Award, Best Student Paper Award)
[C42] Ashikahmed Bhuiyan, Sai Sruti, Zhishan Guo and Kecheng Yang. Precise scheduling of mixed-criticality tasks by varying processor speed, Proceedings of the 27th International Conference on Real-Time Networks and Systems, Toulouse France, November 2019, pp. 123--132. [doi] [cite]
[C41] Jasdeep Singh, Luca Santinelli, Federico Reghenzani, Konstantinos Bletsas, David Doose and Zhishan Guo. Mixed Criticality Scheduling of Probabilistic Real-Time Systems, Proceedings of the 5th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Shanghai, China, November 2019, pp. 89--105. [doi]
[C40] Kecheng Yang and Zhishan Guo. EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness, 2019 IEEE 25th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hangzhou, China, August 2019, pp. 1--6. [doi] [cite]
[C39] Haoyi Xiong, Kafeng Wang, Jiang Bian, Zhanxing Zhu, Cheng-Zhong Xu, Zhishan Guo and Jun Huan. SpHMC: Spectral Hamiltonian Monte Carlo, Proceeding of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, USA, July 2019, pp. 5516--5524. [doi] [cite][C38] Liming Wang, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo and Donald Wunsch. Model-Free Temporal Difference Learning for Non-Zero-Sum Games, 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 2019, pp. 1--6. [doi] [cite]
[C37] Zhishan Guo, Ashikahmed Bhuiyan, Di Liu, Aamir Khan, Abusayeed Saifullah and Nan Guan. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms, 2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Montreal, QC, Canada, April 2019, pp. 156--168. [doi] [cite]
[C36] Zhishan Guo, Kecheng Yang, Sudharsan Vaidhun, Samsil Arefin, Sajal Das and Haoyi Xiong. Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate, 2018 IEEE Real-Time Systems Symposium (RTSS), Nashville, TN, December 2018, pp. 373--383. [doi] [cite] (Code, Artifact Evaluated)
[C35] Xin Han, Liang Zhao, Zhishan Guo and Xingwu Liu. An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines Under Dynamic Priority Scheduling, 2018 IEEE Real-Time Systems Symposium (RTSS), Nashville, TN, December 2018, pp. 447--455. [doi] [cite]
[C34] Luca Santinelli and Zhishan Guo. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource, 2018 IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, September 2018, pp. 313--320. [doi] [cite]
[C33] Zhishan Guo, Luca Santinelli and Kecheng Yang. Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors, Dependable Software Engineering. Theories, Tools, and Applications, Beijing, China, September 2018, pp. 187--199. [doi] [cite]
[C32] Jinghao Sun, Nan Guan, Xu Jiang, Shuangshuang Chang, Zhishan Guo, Qingxu Deng and Wang Yi. A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks Under GEDF, International Conference on Embedded Software (EMSOFT), Torino, Italy, October 2018, pp. 2200--2211. [doi] [cite]
[C31] Haoyi Xiong, Wei Cheng, Yanjie Fu, Wenqing Hu, Jiang Bian and Zhishan Guo. De-biasing Covariance-Regularized Discriminant Analysis, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, Stockholm, Sweden, July 2018, pp. 2889--2897. [doi] [cite]
[C30] Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong and Zhishan Guo. DRESS: Dynamic RESource-Reservation Scheme for Congested Data-Intensive Computing Platforms, 2018 IEEE 11th International Conference on Cloud Computing (CLOUD), San Francisco, CA, USA, July 2018, pp. 694--701. [doi] [cite]
[C29] Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian and Zhishan Guo. AWDA: An Adaptive Wishart Discriminant Analysis, 2017 IEEE International Conference on Data Mining (ICDM), New Orleans, LA, November 2017, pp. 525--534. [doi] [cite]
[C28] Zhishan Guo, Sai Sruti, Bryan Ward and Sanjoy Baruah. Sustainability in Mixed-Criticality Scheduling, 2017 IEEE Real-Time Systems Symposium (RTSS), Paris, December 2017, pp. 24--33. [doi] [cite]
[C27] Jiang Bian, Haoyi Xiong, Wei Cheng, Wenqing Hu, Zhishan Guo and Yanjie Fu. Multi-party Sparse Discriminant Learning, 2017 IEEE International Conference on Data Mining (ICDM), New Orleans, LA, November 2017, pp. 745--750. [doi] [cite]
[C26] Yongliang Yang, Donald Wunsch, Zhishan Guo and Yixin Yin. Hamiltonian-Driven Adaptive Dynamic Programming Based on Extreme Learning Machine, Proceedings of the 14th International Symposium on Neural Networks (ISNN), Sapporo, Japan, 2017, pp. 197--205.
[C25] Zhishan Guo, Ashikahmed Bhuiyan, Abusayeed Saifullah, Nan Guan and Haoyi Xiong. Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks, 29th Euromicro Conference on Real-Time Systems (ECRTS 2017), Dagstuhl, Germany, 2017, pp. 22:1--22:21. [doi] [cite] (DAG Task Generator, Artifact Evaluated)
[C24] Luca Santinelli and Zhishan Guo. On the Criticality of Probabilistic Worst-Case Execution Time Models, Proceedings of the 3rd Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Changsha, China, October 2017, pp. 59--74. [doi]
[C23] Ying Zhang, Zhishan Guo, Lingxiang Wang, Haoyi Xiong and Zhenkai Zhang. Integrating Cache-Related Preemption Delay into GEDF Analysis for Multiprocessor Scheduling with On-chip Cache, 2017 IEEE Trustcom/BigDataSE/ICESS, Sydney, Australia, August 2017, pp. 815--822. [doi] [cite] (Computer Science department at Missouri S\&T is in charge of any questions regarding the experiments part)
[C22] Yongliang Yang, Zhishan Guo, Donald Wunsch and Yixin Yin. Off-policy reinforcement learning for robust control of discrete-time uncertain linear systems, 2017 36th Chinese Control Conference (CCC), Dalian, China, July 2017, pp. 2507--2512. [doi] [cite]
[C21] Zhenkai Zhang, Zhishan Guo and Xenofon Koutsoukos. Handling write backs in multi-level cache analysis for WCET estimation, Proceedings of the 25th International Conference on Real-Time Networks and Systems, Grenoble France, October 2017, pp. 208--217. [doi] [cite]
[C20] Sudharsan Vaidhun, Samsil Arefin, Zhishan Guo, Haoyi Xiong and Sajal Das. Response time in mixed-critical pervasive systems, 2017 IEEE SmartWorld, Ubiquitous Intelligence \& Computing, Advanced \& Trusted Computed, Scalable Computing \& Communications, Cloud \& Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI), San Francisco, CA, August 2017, pp. 1--6. [doi] [cite]
[C19] Sanjoy Baruah*, Arvind Easwaran* and Zhishan Guo*. Mixed-Criticality Scheduling to Minimize Makespan, 36th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2016), Dagstuhl, Germany, 2016, pp. 7:1--7:13. [doi] [cite] (ISSN: 1868-8969)
[C18] Luca Santinelli, Zhishan Guo and Laurent George. Fault-aware sensitivity analysis for probabilistic real-time systems, 2016 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT), Storrs, CT, USA, September 2016, pp. 69--74. [doi] [cite]
[C17] Sanjoy Baruah*, Alan Burns* and Zhishan Guo*. Scheduling Mixed-Criticality Systems to Guarantee Some Service under All Non-erroneous Behaviors, 2016 28th Euromicro Conference on Real-Time Systems (ECRTS), Toulouse, France, July 2016, pp. 131--138. [doi] [cite] (MC task generator, Artifact Evaluated)
[C16] Sanjoy Baruah*, Arvind Easwaran* and Zhishan Guo*. MC-Fluid: Simplified and Optimally Quantified, 2015 IEEE Real-Time Systems Symposium (RTSS), San Antonio, TX, December 2015, pp. 327--337. [doi] [cite][C15] Zhishan Guo, Luca Santinelli and Kecheng Yang. EDF Schedulability Analysis on Mixed-Criticality Systems with Permitted Failure Probability, 2015 IEEE 21st International Conference on Embedded and Real-Time Computing Systems and Applications, Hong Kong, China, August 2015, pp. 187--196. [doi] [cite]
[C14] Zhishan Guo and Sanjoy Baruah. Uniprocessor EDF scheduling of AVR task systems, Proceedings of the ACM/IEEE Sixth International Conference on Cyber-Physical Systems, Seattle Washington, April 2015, pp. 159--168. [doi] [cite]
[C13] Zhishan Guo and Sanjoy Baruah. The concurrent consideration of uncertainty in WCETs and processor speeds in mixed-criticality systems, Proceedings of the 23rd International Conference on Real Time and Networks Systems, Lille France, November 2015, pp. 247--256. [doi] [cite]
[C12] Sanjoy Baruah and Zhishan Guo. Scheduling Mixed-Criticality Implicit-Deadline Sporadic Task Systems upon a Varying-Speed Processor, 2014 IEEE Real-Time Systems Symposium (RTSS), Rome, Italy, December 2014, pp. 31--40. [doi] [cite][C11] Wei Cheng, Xiang Zhang, Zhishan Guo, Yu Shi and Wei Wang. Graph-regularized dual Lasso for robust eQTL mapping, Proceedings of the 22nd Annual International Conference on Intelligent Systems for Molecular Biology (ISMB), Boston, USA, July 2014, pp. i139--i148. [doi] [cite]
[C10] Zhishan Guo and Sanjoy Baruah. Mixed-Criticality Scheduling upon Varying-Speed Multiprocessors, 2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing, Dalian, China, August 2014, pp. 237--244. [doi] [cite]
[C9] Sanjoy Baruah and Zhishan Guo. Mixed-Criticality Scheduling upon Varying-Speed Processors, 2013 IEEE 34th Real-Time Systems Symposium (RTSS), Vancouver, Canada, December 2013, pp. 68--77. [doi] (MC job generator)
[C8] Zhishan Guo and Sanjoy Baruah. Mixed-criticality scheduling upon non-monitored varying-speed processors, 2013 8th IEEE International Symposium on Industrial Embedded Systems (SIES), Porto, Portugal, June 2013, pp. 161--167. [doi] (ISSN: 2150-3117)[C7] Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick Sullivan and Wei Wang. Flexible and robust co-regularized multi-domain graph clustering, Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining, Chicago Illinois USA, August 2013, pp. 320--328. [doi] [cite]
[C6] Eric Liu, Zhishan Guo, Xiang Zhang, Vladimir Jojic and Wei Wang. Metric Learning from Relative Comparisons by Minimizing Squared Residual, 2012 IEEE 12th International Conference on Data Mining, December 2012, pp. 978--983. [doi] (ISSN: 2374-8486)
[C5] Yi Guo, Fuchun Sun and Zhishan Guo. Control Allocation of Flying-Wing with Multi-Effectors Based on T-S Fuzzy Model, International Conference on Mechanical and Electrical Technology, 3rd, (ICMET-China 2011), Volumes 1–3, Dalian, China, August 2011, pp. 0. [doi] [cite]
[C4] Zhishan Guo and Jun Wang. Information retrieval from large data sets via multiple-winners-take-all, 2011 IEEE International Symposium of Circuits and Systems (ISCAS), Rio de Janeiro, Brazil, May 2011, pp. 2669--2672. [doi] (ISSN: 2158-1525)
[C3] Jun Wang and Zhishan Guo. Parametric Sensitivity and Scalability of k-Winners-Take-All Networks with a Single State Variable and Infinity-Gain Activation Functions, Proceedings of the 7th International Symposium on Neural Networks (ISNN), Shanghai, China, May 2010, pp. 77--85. [doi]
[C2] Zhishan Guo and Jun Wang. A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions, The 2010 International Joint Conference on Neural Networks (IJCNN), Barcelona, Spain, July 2010, pp. 1--8. [doi] (ISSN: 2161-4407)
[C1] Zhishan Guo, Li Lu and Shijia Xi. An Effective Dimension Reduction Approach to Chinese Document Classification Using Genetic Algorithm, Proceedings of the 6th International Symposium on Neural Networks (ISNN), Wuhan, China, May 2009, pp. 480--489.
Theses
Zhishan Guo. Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties. UNC-Chapel Hill Ph.D. Thesis, 2016. (Advisor: Prof. Sanjoy Baruah)
Zhishan Guo. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. Chinese University of Hong Kong M.Phil Thesis, 2011. (Advisor: Prof. Jun Wang)
Zhishan Guo. Fault-Tolerant Control Allocation of Unmanned Flying-Wings Flight Vehicles. Tsinghua University Honors Undergraduate Thesis (with excellence award), 2009. (Advisors: Prof. Licheng Wu and Prof. Fuchun Sun)
patents
Other Publications (Workshop Papers / Short Papers / Posters / REPORTS)
[O26] Yixin Li, Ning Sui, Chenhan Xu, Anil Gehi, Zhishan Guo. Real-Time Cardiovascular Disease Detection via Abnormal Electrocardiogram Cycles on Embedded Systems. 2024 International Conference on Information Processing in Sensor Networks (IPSN), Poster Session, Hong Kong, May 2022. [O25] Nitish Gupta, Kurt Wilson, and Zhishan Guo. Optimizing Real-Time Performances for Timed-Loop Racing under F1TENTH. Proceedings of the 43rd IEEE Real-Time Systems Symposium (RTSS), Industry Challenge, Houston, US, Dec. 2022. [O24] Abdullah Al Arafat, Sudharsan Vaidhun, Bryan Ward, and Zhishan Guo. A Secure Resilient Real-Time Recovery Model, Scheduler, and Analysis. 10th Workshop on Mixed Criticality (WMC), Houston, US, Dec. 2022. [O23] Tianning She, Zhishan Guo, and Kecheng Yang. Precise Scheduling Mixed-Criticality Gang Tasks with Reserved Processors. 10th Workshop on Mixed Criticality (WMC), Houston, US, Dec. 2022.[O22] Ashkan Farhangi, Zhishan Guo, Dexter Hadley, Analia Castiglioni, and Denise Kay. Can Artificial Intelligence Address the Burden Associated with Scoring Narrative Assessments? International Association of Medical Science Educators Annual Meeting (IAMSE), Oral Session Denvor, CO, June 2022.
[O20] Jinghao Sun, Tianyi Wang, Kailu Duan, Bin Lu, Jiankang Ren, Zhishan Guo, and Guozhen Tan. Toward Real-Time Guaranteed Scheduling for Autonomous Driving Systems. Proceedings of the 42nd IEEE Real-Time Systems Symposium (RTSS), Industry Challenge Dortmund, Germany, Dec. 2021. (Best Solution Award)
[O18] Md Sanzid Bin Hossain, Hwan Choi, and Zhishan Guo. An Ensemble Machine Learning Approach for the Estimation of Lower Extremity Kinematics Using Shoe-Mounted IMU Sensors. Proceedings of the Gait and Clinical Movement Analysis Society Annual Meeting (GCMAS), Poster Session, Apr. 2021.
[O17] Md Sanzid Bin Hossain, Youngho Lee, Junghwa Hong, Hwan Choi, and Zhishan Guo. Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning. Proceedings of the 44th Meetings of the American Society of Biomechanics (ASB), Aug. 2020.
[O16] Jade Zsiros, Brian Blalock, Darien Craig, Sudharsan Vaidhun, Alexander Wang, and Zhishan Guo. GARDS: Generalized Autonomous Robotic Delivery System. The Third IEEE International Conference on Connected and Autonomous Driving (MetroCAD), Poster Session, Detroit, USA, Feb. 2020.
[O15] Ashkan Farhangi*, Jiang Bian*, Jun Wang, and Zhishan Guo. A Deep Learning Strategy for I/O Scheduling in Storage Systems. Proceedings of the 40th IEEE Real-Time Systems Symposium (RTSS), BP Session, Hong Kong, China, Dec. 2019.
[O14] Sai Sruti, Ashikahmed Bhuiyan, and Zhishan Guo. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), BP Session, Nashville, USA, Dec. 2018.
[O13] Xin Han and Zhishan Guo. Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018.
[O12] Jasdeep Singh, Luca Santinelli, Zhishan Guo, Julien Brunel, David Doose, and Guillaume Infantes. Use of probabilities and formal methods to control system criticality levels. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018.
[O11] Ying Zhang, Lingxiang Wang, Wei Jiang, and Zhishan Guo. RWS - A Roulette Wheel Scheduler For Preventing Execution Pattern Leakage. Proceedings of the 24th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), BP Session, Porto, Portugal, Apr. 2018. (Followup work is reported in this MS thesis)
[O10] Zhishan Guo, Ying Zhang, Lingxiang Wang, and Zhenkai Zhang. Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), BP Session, Paris, France, Dec. 2017.
[O9] Zhishan Guo. Guaranteeing some service upon mode switch in mixed-criticality systems. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017.
[O8] Zhishan Guo. Regarding the Optimality of Speedup Bounds of Mixed-Criticality Schedulability Tests. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 17131), Dagstuhl Reports, March 2017.
[O7] Zhishan Guo. Mixed-criticality scheduling on varying-speed platforms with bounded performance dropping rate. Proceedings of the 2nd IEEE International Conference on Smart Computing (SMARTCOMP) (WiP Session), St Louis, USA, May 2016.
[O6] Sanjoy Baruah and Zhishan Guo. Mixed-criticality job models: a comparison. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems, San Antonio, USA, Dec. 2015.
[O5] Zhishan Guo*, Rui Liu*, Xinghao Xu* and Kecheng Yang*. A Survey of Real-Time Automotive Systems. Department of Computer Science Technical Report, University of North Carolina at Chapel Hill, 2015
[O4] Zhishan Guo. MC Scheduling on Varying-Speed Processors. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 15121), Dagstuhl Reports, vol. 5, issue 3, pp. 128-129, 2015.
[O3] Alexandra French, Zhishan Guo, and Sanjoy Baruah. Scheduling mixed-criticality workloads upon unreliable processors. The 11th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP), Pont a Mousson, France, June 2013.
[O2] Yingyu Liang, et al. THU and ICRC at TRECVID 2008. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2008.
[O1] Jinhui Yuan, Zhishan Guo, et al. THU and ICRC at TRECVID 2007. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2007.