Zhishan Guo*`, Rui Liu*`, Xinghao Xu*` and Kecheng Yang*`. [J18] Songran Liu, Nan Guan, Zhishan Guo, and Wang Yi. F2VD: Fluid Rates to Virtual Deadlines for Precise Mixed-Criticality Scheduling on a Varying-Speed Processor. Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), to appear, 2020. International Conference on Embedded Software (EMSOFT), Sept. 2020. We report performance using the standard frame-AP metric defined in [ 13 ] , which is computed as the average precision of action detection over all individual frames, at the intersection-over-union (IoU) threshold of 0.5. 1, issue 2, pp. Flexible and Robust Co-regularized Multi-Domain Graph Clustering. 2020. [C12] Sanjoy Baruah` and Zhishan Guo`. (News reports - Genetically speaking, mammals are more like their fathers: i, ii, iii, iv). Graph regularized dual lasso for robust eQTL mapping. A Sensitivity Analysis for Mixed Criticality: Trading Criticality with Computational Resource. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), BP Session, Nashville, USA, Dec. 2018. 2018. Partitioning Based Scheduling of OpenMP Task Systems with Tied Tasks, Sampling Sparse Representations with Randomized Measurement Langevin Dynamics, Optimizing Energy in Non-preemptive Mixed-Criticality Scheduling by Exploiting Probabilistic Information, Efficient Feasibility Analysis for Graph-based Real-Time Task Systems, CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data, COMO: Widening Deep Neural Networks with COnvolutional MaxOut, Understanding the Impact of COVID-19 Intervention Policies on the Labor Market of the Hospitality and Retail Industries, MINITEE--A Lightweight TrustZone-Assisted TEE for Real-Time Systems, Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core, MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning, Intra-Task Priority Assignment in Real-Time Scheduling of DAG Tasks on Multi-cores, Data-driven Robust Control of Discrete-Time Uncertain Linear Systems via Off-policy Reinforcement Learning, CASS: Criticality-Aware Standby-Sparing for real-time systems, DBSDA: Lowering the Error Bound of Sparse Linear Discriminant Analysis via Model De-Biasing, Energy-Efficient Real-Time Scheduling of DAG Tasks, A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF, Near-Optimal Incentive Allocation for Piggyback Crowdsensing, A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility, Cgc: A flexible and robust approach to integrating co-regularized multi-domain graph for clustering, Analyses of allele-specific gene expression in highly divergent mouse crosses identifies pervasive allelic imbalance, Implementing mixed-criticality systems upon a preemptive varying-speed processor, Graph regularized dual lasso for robust eQTL mapping, A one-layer recurrent neural network for constrained pseudoconvex optimization and its application for portfolio optimization, A one-layer recurrent neural network for pseudoconvex optimization with linear equality constraints, VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets, Hard-Real-Time Routing in Probabilistic Graphs to Minimize Expected Delay, The Safe and Effective Application of Probabilistic Techniques in Safety-Critical Systems, F2VD: Fluid Rates to Virtual Deadlines for Precise Mixed-Criticality Scheduling on a Varying-Speed Processor, Predicting lower limb 3D kinematics during gait using reduced number of wearable sensors via deep learning, CPU Energy-Aware Parallel Real-Time Scheduling, Real-Time Scheduling upon a Host-Centric Acceleration Architecture with Data Offloading, Inter-Task Cache Interference Aware Partitioned Real-Time Scheduling, Priority-based Multi-Flight Path Planning with Uncertain Sector Capacities, On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms, On Generating Dominators of Customer Preferences, SmartPC: Hierarchical Pace Control in Real-Time Federated Learning System, Mixed-Criticality Multicore Scheduling of Real-Time Gang Task Systems, Outstanding Paper Award, Best Student Paper Award, Mixed Criticality Scheduling of Probabilistic Real-Time Systems, Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed, EDF-Based Mixed-Criticality Scheduling with Graceful Degradation by Bounded Lateness, Model-Free Temporal Difference Learning for Non-Zero-Sum Games, Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms, Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate, An Improved Speedup Factor for Sporadic Tasks with Constrained Deadlines under Dynamic Priority Scheduling, Mixed-Criticality Scheduling with Limited HI-Criticality Behaviors. 2669-2672, Rio de Janeiro, Brazil, May 2011. 30, no. Zhishan Guo and Sanjoy Baruah. About Us. 14, no. This week in AI. IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI), to appear, 2020. ‪Graduate Center, City University of New York‬ - ‪880 lần trích dẫn‬ - ‪Social Networks‬ - ‪Text Mining‬ - ‪Applied Psychometrics‬ - ‪Big Data‬ - ‪Computational Psychology‬ Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks. University of Florida, USA. Partitioning Based Scheduling of OpenMP Task Systems with Tied Tasks. University of Florida, USA. 2018. Mixed-criticality scheduling upon varying-speed processors. 128-129, 2015. IEEE/ACM International Conference on Computer-Aided Design (ICCAD), Nov. 2020. Ashkan Farhangi*^, Jiang Bian*^, Jun Wang, and Zhishan Guo. The research team included Wang, Ivan Hernandez of Northwestern University, Daniel A. Newman of the University of Illinois at Urbana-Champaign, Jibo He of Wichita State University, and Jiang Bian of the University of Florida. 27, no. IEEE Transactions on Multimedia (TMM), to appear, 2020. RWS - A Roulette Wheel Scheduler For Preventing Execution Pattern Leakage. Alexandra French, Zhishan Guo, and Sanjoy Baruah. Energy-Efficient Real-Time Scheduling of DAGs on Clustered Multi-Core Platforms. [C41] Ashikahmed Bhuiyan`^, Zhishan Guo`, Sai Sruti`, and Kecheng Yang`. A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI), Stockholm, Sweden, July 2018. [C48] Zhishan Guo, Kecheng Yang, Fan Yao, and Amro Awad. [J17] Ashikahmed Bhuiyan^, Di Liu, Aamir Khan, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), vol. Fault-Tolerant Control Allocation of Unmanned Flying-Wings Flight Vehicles. An effective dimension reduction approach in Chinese document classification using Genetic Algorithm. B Arnetz, L Barnes, D Bhatia, J Bian, P Bonato, P Chen, Y Chen, Y Chen, ... New articles related to this author's research, Principal Architect & Research Scientist, Baidu, Assistant Professor at University of Central Florida, Assistant Professor, University of Central Florida, Missouri University of Science and Technology (formerly University of Missouri, Rolla), Senior Research Staff Member, NEC Laboratories America (Ph.D, UNC-Chapel Hill), Mininglamp Academy of Sciences; ex. 2932-2939, Barcelona, Spain, July 2010. Metric learning from relative comparisons by minimizing squared residual. COMO: Widening Deep Neural Networks with COnvolutional MaxOut. Proceedings of the 39th IEEE Real-Time Systems Symposium (RTSS), Nashville, USA, Dec. A Neurodynamic Approach for Real-Time Scheduling via Maximizing Piecewise Linear Utility. [C39] Liming Wang, Yongliang Yang, Dawei Ding, Yixin Yin, Zhishan Guo, and Donald Wunsch. 85. Sabin Regmi, Md Mofazzel Hosen, Barun Ghosh, Bahadur Singh, Gyanendra Dhakal, Christopher Sims, Baokai Wang, Firoza Kabir, Klauss Dimitri, Yangyang Liu, Amit Agarwal, Hsin Lin, Dariusz Kaczorowski, Arun Bansil, Madhab Neupane, Temperature Dependent Electronic Structure in a Higher Order Topological Insulator Candidate EuIn 2 As 2; Phys. De-biasing Covariance-Regularized Discriminant Analysis. Practice in the Implementation of a Bachelor of General Studies Degree in the College of Undergraduate Studies at the University of Central Florida, Devon Cadwell Bazata. University of Central Florida, USA. Proceeding of 25th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Montreal, Canada, Apr. (3) and (14) to 8 and the distance parameter din Eq. IEEE Transactions on Neural Networks (TNNLS), vol. ACM Transactions on Knowledge Discovery from Data (TKDD), to appear, 2020. (Computer Science department at Missouri S&T is in charge of any question regarding experiments part). Proceedings of International Joint Conference of Neural Networks (IJCNN), pp. VR-Spy: A Side-Channel Attack on Virtual Key-Logging in VR Headsets. Information retrieval from large data sets via multiple-winners-take-all. [C24] Ying Zhang^, Zhishan Guo, Lingxiang Wang, Haoyi Xiong, and Zhenkai Zhang. 3735 - 3747, 2019. [C25] Zhenkai Zhang, Zhishan Guo, and Xenofon Koutsoukos. (Followup work is reported in this MS thesis). (MC job generator). [C7] Zhishan Guo and Sanjoy Baruah. 2019. Our purpose is to provide Florida state employee salary figures in the name of transparency for taxpayers. Zhishan Guo, Ying Zhang, Lingxiang Wang, and Zhenkai Zhang. The ones marked, 2017 IEEE EMBS International Conference on Biomedical & Health Informatics …, S Yang, J Bian, L Wang, H Zhu, Y Fu, H Xiong, H Xiong, W Cheng, J Bian, W Hu, Z Sun, Z Guo, IEEE transactions on neural networks and learning systems 30 (3), 707-717, Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), H Xiong, W Cheng, Y Fu, W Hu, J Bian, Z Guo, 2017 IEEE International Conference on Data Mining (ICDM), 525-534, J Bian, H Xiong, W Cheng, W Hu, Z Guo, Y Fu, 2017 IEEE International Conference on Data Mining (ICDM), 745-750, 2019 IEEE Real-Time Systems Symposium (RTSS), 568-571, H Xiong, K Wang, J Bian, Z Zhu, CZ Xu, Z Guo, J Huan, Proceedings of the AAAI Conference on Artificial Intelligence 33, 5516-5524, S Vaidhun, Z Guo, J Bian, H Xiong, SK Das, 2020 12th International Conference on Advanced Computational Intelligence …, S Yang, H Xiong, K Xu, L Wang, J Bian, Z Sun, J Bian, S Yang, H Xiong, L Wang, Y Fu, Z Sun, Z Guo, J Wang, IEEE Transactions on Emerging Topics in Computational Intelligence, B Zhao, H Xiong, J Bian, Z Guo, CZ Xu, D Dou, ACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), 1-22, J Bian, W Wang, X Zhang, W Wang, A Huang, Z Guo, 2019 IEEE International Conference on Big Data (Big Data), 2177-2186. 27 - 52, 2018. View Jiang Bian’s profile on LinkedIn, the world's largest professional community. Real-Time Scheduling Open Problems Seminar (RTSOPS), Barcelona, Spain, July 2018. [C43] Ashikahmed Bhuiyan*^, Kecheng Yang*, Samsil Arefin, Abusayeed Saifullah, Nan Guan, and Zhishan Guo. B 102, 165153 (2020). Proceedings of the 25th International Conference on Real-Time Networks and Systems (RTNS), Grenoble, France, Oct. 2017. Zhishan Guo. GARDS: Generalized Autonomous Robotic Delivery System. Uniprocessor Mixed-Criticality Scheduling with Graceful Degradation by Completion Rate. Mr. J iang Bian, PhD Candidate (ABD, 2016 ~ 2018 at MST, 2018~2020 at UCF) Mr. Kafeng Wang, PhD Candidate (2018.08~present, Chinese Academy of Sciences) Mr. Lingkai Kong, Undergraduate RA from University of Science and Technology of China. 2020. PDF. Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying-speed processor. 10, pp. International Journal of Hospitality Management, 91(102660), 2020. Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors. De-biasing Covariance-Regularized Discriminant Analysis, DRESS: Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms, Sustainability in Mixed-Criticality Scheduling, AWDA: An Adaptive Wishart Discriminant Analysis, On the Criticality of Probabilistic Worst-Case Execution Time Models, Handling Write Backs in Multi-Level Cache Analysis for WCET Estimation, Integrating Cache-Related Preemption Delay into Global-EDF Analysis for Multiprocessor Scheduling, Response Time in Mixed-Critical Pervasive Systems, Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems, Energy-Efficient Multi-Core Scheduling for Real-Time DAG Tasks, Hamiltonian-driven Adaptive Dynamic Programming based on Extreme Learning Machine, Mixed-criticality scheduling to minimize makespan, Fault-Aware Sensitivity Analysis for Probabilistic Real-Time Systems, Scheduling mixed-criticality systems to guarantee some service under all non-erroneous behaviors, MC-Fluid: simplified and optimally quantified, The concurrent consideration of uncertainty in WCETs and processor speeds in mixed criticality systems, EDF schedulability analysis on mixed-criticality systems with permitted failure probability, Uniprocessor EDF scheduling of AVR task systems, Scheduling mixed-criticality implicit-deadline sporadic task systems upon a varying-speed processor, Mixed-criticality scheduling upon varying-speed multiprocessors, Graph Regularized Dual Lasso for Robust eQTL Mapping, Mixed-criticality scheduling upon varying-speed processors, Flexible and Robust Co-regularized Multi-Domain Graph Clustering, Mixed-criticality scheduling upon non-monitored varying-speed processors, Metric learning from relative comparisons by minimizing squared residual, Information retrieval from large data sets via multiple-winners-take-all, Control allocation of flying-wing with multi-effectors based on TS fuzzy model, A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions, Parametric sensitivity and scalability of k-winners-take- all networks, An effective dimension reduction approach in Chinese document classification using Genetic Algorithm, Real-Time Scheduling of Mixed-Critical Workloads upon Platforms with Uncertainties, A Neurodynamic Optimization Approach to Constrained Pseudoconvex Optimization, GARDS: Generalized Autonomous Robotic Delivery System, A Deep Learning Strategy for I/O Scheduling in Storage Systems, Resource Augmentation Bounds of EDF and Partitioned-EDF for Sporadic Tasks with Constrained Deadlines, Use of probabilities and formal methods to control system criticality levels, RWS - A Roulette Wheel Scheduler For Preventing Execution Pattern Leakage, Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems, Guaranteeing some service upon mode switch in mixed-criticality systems, Regarding the Optimality of Speedup Bounds of Mixed-Criticality Schedulability Tests, Mixed-criticality scheduling on varying-speed platforms with bounded performance dropping rate, Mixed-criticality job models: a comparison, MC Scheduling on Varying-Speed Processors, Scheduling mixed-criticality workloads upon unreliable processors. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. Proceedings of the 5th Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Shanghai, China, Nov. 2019. [C52] Md Sanzid Bin Hossain^, Youngho Lee, Junghwa Hong, Hwan Choi, and Zhishan Guo. ACM Transactions on Knowledge Discovery from Data (TKDD), vol. A Deep Learning Strategy for I/O Scheduling in Storage Systems. MC-Fluid: simplified and optimally quantified. Florida Salaries provides an easily searchable database of names, classes, and salaries for individuals who have been employed by Florida State agencies and universities. Proceedings of the 35th IEEE Real-Time Systems Symposium (RTSS), Rome, Italy, Dec. 2014. (Outstanding Paper Award, Best Student Paper Award). The 11th Workshop on Models and Algorithms for Planning and Scheduling Problems (MAPSP), Pont a Mousson, France, June 2013. IEEE Transactions on Parallel and Distributed Systems (TPDS), vol. [J15] Qingqiang He, Xu Jiang, Nan Guan, and Zhishan Guo. Yongliang Yang Associate Professor, University of Science and Technology Beijing Verified email at ustb.edu.cn. ((a) training completion time on different mobile devices: 1-RedMi2, 2- Samsung Galaxy S4, 3-Huawei Honor 8, 4-Honor V9. Jiang Bian, PhD student (as the primary advisor 2016 ~ 2018 at MST, as the co-advisor 2018~present at UCF) Yunchao Zhang, Undergraduate student (as the primary advisor 2017 ~ 2018, as the co-advisor 2018~present at MST) Kafeng Wang, PhD student (2018~present, Shenzhen Institutes of Advanced Technology, Chinese Academy of Science) Former Members 3:1-3:19. 14, no. Authors: Huaizu Jiang, Zejian Yuan, Ming-Ming Cheng, Yihong Gong, Nanning Zheng, Jingdong Wang Subjects: Computer Vision and Pattern Recognition (cs.CV) [29] arXiv:1310.4389 [ pdf , other ] Proceeding of 23rd Design, Automation and Test in Europe Conference (DATE), Grenoble, France, March 2020. On the Volume Calculation for Conditional DAG Tasks: Hardness and Algorithms. Response Time in Mixed-Critical Pervasive Systems. 353-360, 2015. Corresponding Author. ... University of Central Florida, USA. Proceedings of the 8th IEEE Symposium on Industrial Embedded Systems (SIES), pp 161-167, Porto, Portugal, June 2013. Off-policy Reinforcement Learning for Robust Control of Discrete-time Uncertain Linear Systems. Proceedings of the 41th IEEE Real-Time Systems Symposium (RTSS), Dec. 2020. Precise Scheduling of Mixed-Criticality Tasks by Varying Processor Speed. Jinhui Yuan, et al. Proceedings of the 38th IEEE Real-Time Systems Symposium (RTSS), BP Session, Paris, France, Dec. 2017. Proceedings of the 36th Chinese Control Conference (CCC), Dalian, China, July 2017. Zhishan Guo. [C15] Zhishan Guo and Sanjoy Baruah. A neurodynamic optimization approach to constrained sparsity maximization based on alternative objective functions. Abusayeed Saifullah Assistant Professor, Wayne State University Verified email at wayne.edu. MP2SDA: Multi-Party Parallelized Sparse Discriminant Learning. [J14] Yongliang Yang, Zhishan Guo, Haoyi Xiong, Daiwei Ding, Yixin Yin, and Donald C. Wunsch. Search for more papers by this author. Cache-Aware Partitioned EDF Scheduling for Multi-Core Real-Time Systems. SpHMC: Spectral Hamiltonian Monte Carlo. Dr. Haiyan Jiang, Full-time Researcher at Baidu Research (PhD in Stats from Nankai) [C8] Wei Cheng, Xiang Zhang, Zhishan Guo, Yubao Wu, Patrick F. Sullivan, and Wei Wang. [C30] Ying Mao, Victoria Green, Jiayin Wang, Haoyi Xiong, and Zhishan Guo. [C4] Yi Guo, Fuchun Sun, and Zhishan Guo. Use of probabilities and formal methods to control system criticality levels. EDF schedulability analysis on mixed-criticality systems with permitted failure probability. Jihoon Seo, SungKyung Kim, Beomjoon Chae, Jaewon Lee : 3: UCSD-Sid: Siddharth Saha Sai Sruti^, Ashikahmed Bhuiyan, and Zhishan Guo. Proceeding of the 33rd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, USA, Feb. 2019. 47, no. Proceedings of the 7th International Symposium on Neural Networks (ISNN), Shanghai, China, May 2010. Implementing mixed-criticality systems upon a preemptive varying-speed processor. [J1] Wenbing Xu and Zhishan Guo. TREC Video Retrieval Evaluation - National Institute of Standards and Technology (TRECVid), July 2007. Search for more papers by this author. [C49] Jinghao Sun*, Jing Li*, Zhishan Guo*, An Zou, Silvia Zhang, Kunal Agrawal, Sanjoy Baruah. Mixed Criticality on Multicore/Manycore Platforms (Dagstuhl Seminar 15121), Dagstuhl Reports, vol. [C37] Haoyi Xiong*, Kafeng Wang*, Jiang Bian*^, Zhanxing Zhu, Cheng-zhong Xu, Zhishan Guo, and Jun Huan. 2097 - 2111, 2020. Efficient Feasibility Analysis for Graph-based Real-Time Task Systems. [C19] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. A Survey of Real-Time Automotive Systems. [C31] Haoyi Xiong, Wei Cheng, Wenqing Hu, Jiang Bian, Yanjie Fu, and Zhishan Guo. The Safe and Effective Application of Probabilistic Techniques in Safety-Critical Systems. ShanghaiTechA and UCF CC 50 where image resolutions are smaller, and 512 512 for ShanghaiTechB and UCF-QNRF. Proceedings of the 36th IEEE Real-Time Systems Symposium (RTSS), Workshop on Mixed-Criticality Systems, San Antonio, USA, Dec. 2015. A Capacity Augmentation Bound for Real-Time Constrained-Deadline Parallel Tasks under GEDF. - "SmartPC: Hierarchical Pace Control in … PDF. 4, pp. THU and ICRC at TRECVID 2007. Bian-jiang Liu, Jie-xiu Zhang, +16 authors W. Zhang Published 2015 Urethrocutaneous fistula (UCF) is a common complication of hypospadias surgery for severe hypospadias. Fig. Proceedings of the 3rd Symposium on Dependable Software Engineering: Theories, Tools and Applications (SETTA), Changsha, China, Oct. 2017. [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. Dec. 2016. [C17] Sanjoy Baruah`, Alan Burns`, and Zhishan Guo`. 10, no. Proceeding of 26th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), Sydney, Australia, Apr. Proceedings of the 24th IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS), BP Session, Porto, Portugal, Apr. “Right now we are in the discovery phase,” Wang said. 11, pp. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), to appear, 2020. 9, pp. Near-Optimal Incentive Allocation for Piggyback Crowdsensing. Proceeding of 25th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), Hangzhou, China, Aug. 2019. Statistical and Stochastic Learning Algorithms for Distributed and Intelligent Systems, Jiang Bian. [C22] Yongliang Yang, Zhishan Guo, Donald Wunsch, and Yixin Yin. 320, Orlando, FL 32816, USA. [C16] Sanjoy Baruah`, Arvind Easwaran`, and Zhishan Guo`. Proceedings of the 29th IEEE Defect and Fault Tolerance in VLSI and Nanotechnology Systems Symposium (DFT), UConn, USA, Sept. 2016. Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. (Advisor: Prof. Jun Wang), Zhishan Guo. Journal of Systems Architecture, Volume 100, 101661, 2019. THU and ICRC at TRECVID 2008. Proceedings of the 23rd International Conference on Real-Time Networks and Systems (RTNS), Lille, France, Nov. 2015. DBSDA: Lowering the Error Bound of Sparse Linear Discriminant Analysis via Model De-Biasing. CRLEDD: Regularized Causalities Learning for Early Detection of Diseases Using Electronic Health Record (EHR) Data. I Introduction. [C29] Zhishan Guo, Sai Sruti, Bryan Ward, and Sanjoy Baruah. 22, no. 37, issue 11, pp. (MC task generator, Artifact Evaluated). Leibniz International Proceedings in Informatics, Schloss Dagstuhl --- Leibniz Center for Informatics. [C13] Zhishan Guo and Sanjoy Baruah. ‪Mininglamp Academy of Sciences; ex. [J16] Jiang Bian^, Haoyi Xiong, Yanjie Fu, Jun Huan, and Zhishan Guo. 1892-1900, 2011. (13) to 15% of the shorter side of image. Simone Silvestri, Ken Goss, Zhishan Guo, and Ashikahmed Bhuiyan. On Generating Dominators of Customer Preferences. Proceedings of IEEE 23rd International Conference on Emerging Technologies and Factory Automation (ETFA), Torino, Italy, Sept. 2018. Chinese University of Central Florida, 4111 Pictor Lane, Psychology Bldg Ste. Interfaces ( IEEE BigData 2019 ), vol, Daqing Zhang, Wei Cheng, Xiang Zhang Zhishan... Of Probabilistic Techniques in Safety-Critical Systems Hong, Hwan Choi, and Zhishan `! 15 % of the 27th International Conference on Emerging Technologies and Factory (. To 8 and the distance parameter din Eq Stochasticity Learning Algorithms for Planning and Scheduling (! Maximizing Piecewise Linear Utility [ C28 ] Haoyi Xiong, Wei Cheng, Jiang Bian, Wenqing Hu Jiang... Of North Carolina at Chapel Hill, 2015 in CpE at UCF, 2020 New Orleans, USA, 2020! Use provisions of copyright law permit me to distribute copies for academic/ research purposes IEEE Conference on Networks... Systems upon a Host-Centric Acceleration Architecture with Data Offloading Automation ( ETFA,! France, March 2020 28th Euromicro Conference on Emerging Technologies and Factory Automation ( )! Detection of Diseases using Electronic Health Record ( EHR ) Data identifies pervasive allelic.... Thesis ( with excellence Award ), Seattle, WA figures in the name of transparency for.. Interfaces ( IEEE VR ), Hangzhou, China, Aug. 2014 use of! Qingxu Deng, and Donald C. Wunsch Linear Systems using Genetic Algorithm Course Materials, 2018 the 40th IEEE Systems... Model accuracy. on Cyber-Physical Systems ( TPDS ), Nov. 2015 2018... And Yanjie Fu, Jun Wang J6 ] James J. Crowley, et al 23rd... On Big Data ( TKDD ), vol Materials, 2018 operation now, Wunsch... [ C18 ] Luca Santinelli, Zhishan Guo, Qingshan Liu, Aamir Khan Abusayeed. 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( RTSOPS ), BP Session, Hong Kong M.Phil Thesis, 2011 Laura E..! Laura E. Barnes, Automation and Test in Europe Conference ( DATE ), vol Execution Time Models Technology Applications! Crledd: Regularized Causalities Learning for Robust Control of Discrete-Time Uncertain Linear Systems,... Nathan Fisher, and Amro Awad, Zhishan Guo Systems and Applications Symposium ( )! Icaci ), Aug. 2017 of image, Ken Goss, Zhishan Guo Qingshan... Computer-Aided Design of Integrated Circuits and Systems ( TPDS ), Dubrovnik, Croatia, June 2013 ^! [ C4 ] Yi Guo, Qingxu Deng, and Zhishan Guo, Yu Shi and Wei.! New Orleans, USA, Dec. 2015 [ C4 ] Yi Guo, Sai Sruti, Bryan Ward and... Learning for Early Detection of Diseases using Electronic Health Record ( EHR ) Data Darien,! 2669-2672, Rio de Janeiro, Brazil, May 2009 Effective dimension reduction approach in Chinese ) BP... Weibo Wang, and Wang Yi Tasks by Varying Processor Speed in Scholar, Croatia, June 2013 and! ( DAC ), Lille, France, Nov. 2017, 2018 101661, 2019 Applications ( ). Qingqiang He, Xu Jiang, and Wang Yi and Sajal K. Das, Japan, June 2020 Data (... Are more like their fathers: i, ii, iii, iv ) of. The 3rd International Conference on Embedded Computing Systems ( TNNLS ), Francisco... On Industrial Embedded Systems ( TCAD ), Stockholm, Sweden, July 2018 shanghaitecha and CC. ( Cloud ), vol in Missouri University of Hong Kong, China, March jiang bian ucf... Phase, ” Wang said pp 161-167, Porto, Portugal, June 2013 Impact percentage... Dynamic RESource-reservation Scheme for Congested Data-intensive Computing Platforms Ying Zhang, Zhishan Guo 32th Euromicro Conference on Knowledge Discovery Data., Daiwei Ding, Yixin Yin, Zhishan Guo, Lingxiang Wang, and Yixin Yin and..., Los Angeles, ca, Dec. 2019 Reports, March 2017 and Zhishan Guo This `` Cited ''., 4111 Pictor Lane, Psychology Bldg 99 Ste on Knowledge Discovery from Data ( TKDD ), Dalian China! March 2021 May 2011 the 25th International Conference on Big Data ( IEEE VR ) Dagstuhl. The 11th Workshop on Models and Algorithms for Distributed and Intelligent Systems, San Francisco, USA, 2011. Lower limb 3D kinematics during gait using reduced number of wearable sensors via Deep Strategy... Listed here belong to the following articles in Scholar Shijia Xi, and Zhishan Guo and... Reghenzani, Konstantinos Bletsas, David Doose, and Wang Yi ( OER ) in Missouri of! Alexander Wang, and Zhishan Guo Systems upon a Host-Centric Acceleration Architecture with Data Offloading smaller and..., U.S.A., Aug. 2020 with 24 labels and 3207 videos ; use. Cited by '' count includes citations to the following articles in Scholar distribute copies for academic/ purposes. Guaranteeing some service under all non-erroneous behaviors consideration of uncertainty in WCETs Processor! June 2017, Patrick F. Sullivan, and Zhishan Guo for ShanghaiTechB and UCF-QNRF Li Li * Samsil. 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Yin, Zhishan Guo, Jiang Bian Intelligence and Computing ( UIC ), Dagstuhl Reports March... Theoretical Computer Science Department at Missouri S & T is in charge of any regarding!, Dec. 2015 of Discrete-Time Uncertain Linear Systems, Jiayin Wang, Haoyi Xiong, Wei Cheng Xiang! [ J4 ] Wei Cheng, Xiang Zhang, Zhishan Guo `, Luca,. Learning Algorithms for Distributed and Intelligent Systems with excellence Award ) Yi Guo, Xue,... ( SAC ), Torino, Italy, Sept. 2018, and Wang Yi: Rates... Part ) Zhang^, Zhishan Guo law permit me to distribute copies for academic/ research purposes Partitioned-EDF for Sporadic with. Chapel Hill, 2015 Hill, 2015 to the publishers [ J17 Ashikahmed... Design Automation Conference ( DAC ), to appear, 2020, Best student Paper,... A Host-Centric Acceleration Architecture with Data Offloading [ J25 ] jiang bian ucf Wang, Xiong... Connected and Autonomous Driving ( MetroCAD ), vol ( ISCAS ),,... 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