Planning Remanufacturing Systems by Constrained Ordinal Optimization Method with Feasibility Model. - Chen Song; Xiaohong Guan; Qianchuan Zhao; Qing-Shan Jia (CDC/ECC, 2005)

A method based on Kolmogorov complexity to improve the efficiency of strategy optimization with limited memory space. - Qing-Shan Jia; Qian-Chuan Zhao; Yu-Chi Ho (ACC, 2006)

A SVM-based Method for Engine Maintenance Strategy Optimization. - Qing-Shan Jia; Qianchuan Zhao (ICRA, 2006)

The Equivalence between Ordinal Optimization in Deterministic Complex Problems and in Stochastic Simulation Problems. - Yu-Chi Ho; Qing-Shan Jia; Qianchuan Zhao (Discret. Event Dyn. Syst., 2006)

Comparison of selection rules for ordinal optimization. - Qing-Shan Jia; Yu-Chi Ho; Qianchuan Zhao (Math. Comput. Model., 2006)

A potential-based method for finite-stage Markov Decision Process. - Qing-Shan Jia (ACC, 2008)

Event-based optimization for dispatching policies in material handling systems of general assembly lines. - Yanjia Zhao; Qianchuan Zhao; Qing-Shan Jia; Xiaohong Guan; Xi-Ren Cao (CDC, 2008)

A Structure Property of Optimal Policies for Maintenance Problems WithSafety-Critical Components. - Li Xia; Qianchuan Zhao; Qing-Shan Jia (IEEE Trans Autom. Sci. Eng., 2008)

Improved constrained ordinal optimization for simulation-based constrained optimization. - Qing-Shan Jia (CDC, 2009)

Ordinal optimization based security dispatching in deregulated power systems. - Qing-Shan Jia; Min Xie; Felix F. Wu (CDC, 2009)

Strategy optimization for controlled Markov process with descriptive complexity constraint. - Qing-Shan Jia; QianChuan Zhao (Sci. China Ser. F Inf. Sci., 2009)

An integrated control of shading blinds, natural ventilation, and HVAC systems for energy saving and human comfort. - Biao Sun; Peter B. Luh; Qing-Shan Jia; Ziyan Jiang; Fulin Wang; Chen Song (CASE, 2010)

Estimation of occupancy level in indoor environment based on heterogeneous information fusion. - Hengtao Wang; Qing-Shan Jia; Chen Song; Ruixi Yuan; Xiaohong Guan (CDC, 2010)

Dynamic water resources planning with locational release and annual consumption constraints. - Yanjia Zhao; Xi Chen 036; Qing-Shan Jia; Xiaohong Guan; Hao Wang (CDC, 2010)

Prediction-Based Activation in WSN Tracking. - Jianghai Li; Xi Chen 036; Qing-Shan Jia; Xiaohong Guan (MSN, 2010)

A rollout method for finite-stage event-based decision processes. - Qing-Shan Jia (WODES, 2010)

Quantifying Heuristics in the Ordinal Optimization Framework. - Zhen Shen; Qianchuan Zhao; Qing-Shan Jia (Discret. Event Dyn. Syst., 2010)

A Structural Property of Optimal Policies for Multi-Component Maintenance Problems. - Qing-Shan Jia (IEEE Trans Autom. Sci. Eng., 2010)

Long-Term Scheduling for Cascaded Hydro Energy Systems With Annual Water Consumption and Release Constraints. - Yanjia Zhao; Xi Chen 036; Qing-Shan Jia; Xiaohong Guan; Shuanghu Zhang; Yunzhong Jiang (IEEE Trans Autom. Sci. Eng., 2010)

Energy-Efficient Buildings Facilitated by Microgrid. - Xiaohong Guan; Zhanbo Xu; Qing-Shan Jia (IEEE Trans. Smart Grid, 2010)

On optimal partial broadcasting of wireless sensor networks for Kalman filtering. - Qing-Shan Jia; Ling Shi 001 (ACC, 2011)

Ordinal Optimization-Based Multi-energy System Scheduling for Building Energy Saving. - Zhong-Hua Su; Qing-Shan Jia; Chen Song (ICIC (2), 2011)

Sensor scheduling over a packet-delaying network. - Ling Shi 001; Qing-Shan Jia; Yilin Mo; Bruno Sinopoli (Autom., 2011)

Tracking a moving object via a sensor network with a partial information broadcasting scheme. - Jianghai Li; Qing-Shan Jia; Xiaohong Guan; Xi Chen 036 (Inf. Sci., 2011)

On State Aggregation to Approximate Complex Value Functions in Large-Scale Markov Decision Processes. - Qing-Shan Jia (IEEE Trans. Autom. Control., 2011)

On Solving Optimal Policies for Finite-Stage Event-Based Optimization. - Qing-Shan Jia (IEEE Trans. Autom. Control., 2011)

On Solving Event-Based Optimization With Average Reward Over Infinite Stages. - Qing-Shan Jia (IEEE Trans. Autom. Control., 2011)

An Adaptive Sampling Algorithm for Simulation-Based Optimization With Descriptive Complexity Preference. - Qing-Shan Jia (IEEE Trans Autom. Sci. Eng., 2011)

Efficient topology optimization for a wired networked system by adding wireless communication. - Hengtao Wang; Qianchuan Zhao; Qing-Shan Jia; Xiaohong Guan (ACC, 2012)

Event-based sensor activation for indoor occupant distribution estimation. - Qing-Shan Jia; Zhe Wen; Li Xia (ICARCV, 2012)

Estimation of occupant distribution by detecting the entrance and leaving events of zones in building. - Hengtao Wang; Qing-Shan Jia; Yulin Lei; Qianchuan Zhao; Xiaohong Guan (MFI, 2012)

Approximate event-based optimization for evacuation. - Qing-Shan Jia; Li Xia (WODES, 2012)

Enhancing the Robustness and Efficiency of Scale-free Network with Limited Link Addition. - Li Li; Qing-Shan Jia; Xiaohong Guan; Hengtao Wang (KSII Trans. Internet Inf. Syst., 2012)

A systematic method for network topology reconfiguration with limited link additions. - Li Li; Qing-Shan Jia; Hengtao Wang; Ruixi Yuan; Xiaohong Guan (J. Netw. Comput. Appl., 2012)

On Optimal Partial Broadcasting of Wireless Sensor Networks for Kalman Filtering. - Qing-Shan Jia; Ling Shi 001; Yilin Mo; Bruno Sinopoli (IEEE Trans. Autom. Control., 2012)

Efficient Computing Budget Allocation for Simulation-Based Policy Improvement. - Qing-Shan Jia (IEEE Trans Autom. Sci. Eng., 2012)

Simulation-Based Policy Improvement for Energy Management in Commercial Office Buildings. - Qing-Shan Jia; Jian-Xiang Shen; Zhanbo Xu; Xiaohong Guan (IEEE Trans. Smart Grid, 2012)

Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management. - Zhanbo Xu; Xiaohong Guan; Qing-Shan Jia; Jiang Wu; Dai Wang; Siyun Chen (IEEE Trans. Smart Grid, 2012)

Policy iteration for parameterized Markov decision processes and its application. - Li Xia; Qing-Shan Jia (ASCC, 2013)

Event-based optimization with non-stationary uncertainties to save energy costs of HVAC systems in buildings. - Biao Sun; Peter B. Luh; Qing-Shan Jia; Bing Yan (CASE, 2013)

Supply demand coordination for building energy saving. - Zhanbo Xu; Qing-Shan Jia; Xiaohong Guan (CASE, 2013)

An RFID indoor positioning system by using weighted path loss and extreme learning machine. - Han Zou; Hengtao Wang; Lihua Xie 001; Qing-Shan Jia (CPSNA, 2013)

An integrative Weighted Path Loss and Extreme Learning Machine approach to Rfid based Indoor Positioning. - Han Zou; Lihua Xie 001; Qing-Shan Jia; Hengtao Wang (IPIN, 2013)

Efficient Computing Budget Allocation for Simulation-Based Optimization With Stochastic Simulation Time. - Qing-Shan Jia (IEEE Trans. Autom. Control., 2013)

Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality. - Junfeng Wu 001; Qing-Shan Jia; Karl Henrik Johansson; Ling Shi 001 (IEEE Trans. Autom. Control., 2013)

Building Energy Management: Integrated Control of Active and Passive Heating, Cooling, Lighting, Shading, and Ventilation Systems. - Biao Sun; Peter B. Luh; Qing-Shan Jia; Ziyan Jiang; Fulin Wang; Chen Song (IEEE Trans Autom. Sci. Eng., 2013)

Smart Management of Multiple Energy Systems in Automotive Painting Shop. - Zhanbo Xu; Qing-Shan Jia; Xiaohong Guan; Jian-Xiang Shen (IEEE Trans Autom. Sci. Eng., 2013)

Reconfiguring Networked Infrastructures by Adding Wireless Communication Capabilities to Selected Nodes. - Hengtao Wang; Qianchuan Zhao; Xiaohong Guan; Qing-Shan Jia; Li Li (IEEE Trans. Wirel. Commun., 2013)

EV charging load scheduling following uncertain renewable energy supply by stochastic matching. - Qilong Huang; Qing-Shan Jia; Li Xia; Xiaohong Guan; Xiaolan Xie (CASE, 2014)

A dual-infrared sensing system for occupant distribution estimation in buildings. - Zhenning Lang; Qing-Shan Jia; Yulin Lei; Xiaolan Xie (CASE, 2014)

A new method to solve large-scale building energy management for energy saving. - Zhanbo Xu; Qing-Shan Jia; Xiaohong Guan; Xiaolan Xie (CASE, 2014)

Indoor Occupant Positioning System Using Active RFID Deployment and Particle Filters. - Kevin Weekly; Han Zou; Lihua Xie 001; Qing-Shan Jia; Alexandre M. Bayen (DCOSS, 2014)

Local event-based sensor activation for occupant distribution estimation in buildings. - Yulin Lei; Qing-Shan Jia; Li Xia (ICNSC, 2014)

Sample path sharing in simulation-based policy improvement. - Di Wu; Qing-Shan Jia; Chun-Hung Chen (ICRA, 2014)

Sample Path Sharing in Policy Improvement for Indoor Air Temperature Control. - Di Wu; Qing-Shan Jia (WODES, 2014)

Guest editorial: event-based control and optimization. - Qing-Shan Jia; Karl Henrik Johansson (Discret. Event Dyn. Syst., 2014)

A tutorial on event-based optimization - a new optimization framework. - Li Xia; Qing-Shan Jia; Xi-Ren Cao (Discret. Event Dyn. Syst., 2014)

Building occupant level estimation based on heterogeneous information fusion. - Hengtao Wang; Qing-Shan Jia; Chen Song; Ruixi Yuan; Xiaohong Guan (Inf. Sci., 2014)

Building Energy Doctors: An SPC and Kalman Filter-Based Method for System-Level Fault Detection in HVAC Systems. - Biao Sun; Peter B. Luh; Qing-Shan Jia; Zheng O'Neill; Fangting Song (IEEE Trans Autom. Sci. Eng., 2014)

EV charging load scheduling with high wind power penetration: A robust shortest path approach. - Qilong Huang; Qing-Shan Jia; Xiaohong Guan (ACC, 2015)

Multi-timescale optimization between distributed wind generators and electric vehicles in microgrid. - Qilong Huang; Qing-Shan Jia; Xiaohong Guan (CASE, 2015)

Numerical testbed of a multiple-chiller plant for centralized HVAC systems. - Yundan Liao; Gongsheng Huang; Qing-Shan Jia (CASE, 2015)

Local and global event-based optimization: Performace and complexity. - Zijian Wu; Qing-Shan Jia; Xiaohong Guan (CASE, 2015)

Parameterized Markov decision process and its application to service rate control. - Li Xia; Qing-Shan Jia (Autom., 2015)

A Decentralized Stay-Time Based Occupant Distribution Estimation Method for Buildings. - Qing-Shan Jia; Hengtao Wang; Yulin Lei; Qianchuan Zhao; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2015)

Event-Based Optimization Within the Lagrangian Relaxation Framework for Energy Savings in HVAC Systems. - Biao Sun; Peter B. Luh; Qing-Shan Jia; Bing Yan (IEEE Trans Autom. Sci. Eng., 2015)

Supply Demand Coordination for Building Energy Saving: Explore the Soft Comfort. - Zhanbo Xu; Qing-Shan Jia; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2015)

Matching EV Charging Load With Uncertain Wind: A Simulation-Based Policy Improvement Approach. - Qilong Huang; Qing-Shan Jia; Zhifeng Qiu; Xiaohong Guan; Geert Deconinck (IEEE Trans. Smart Grid, 2015)

Coordinating EV charging demand with wind supply in a bi-level energy dispatch framework. - Qilong Huang; Qing-Shan Jia; Xiaohong Guan (ACC, 2016)

A three-level human movement model in the whole building scale. - Zhenning Lang; Qing-Shan Jia; Xiaohang Feng (ICCA, 2016)

Improving the prediction accuracy of building energy consumption using location of occupant - A case study. - Yu Yang 008; Qing-Shan Jia; Xiaohong Guan (ICIT, 2016)

Simulation optimization in the era of Industrial 4.0 and the Industrial Internet. - Jie Xu 004; Edward Huang; Liam Y. Hsieh; Loo Hay Lee; Qing-Shan Jia; Chun-Hung Chen (J. Simulation, 2016)

Optimal Control of Multiroom HVAC System: An Event-Based Approach. - Zijian Wu; Qing-Shan Jia; Xiaohong Guan (IEEE Trans. Control. Syst. Technol., 2016)

Optimization of sensor location for improving wind power prediction accuracy. - Zhaoyu Jiang; Qing-Shan Jia; Xiaohong Guan (CASE, 2017)

An evacuation guider location optimization method based on road network centrality measures. - Zhiling Liu; Qing-Shan Jia; Hui Zhang (CASE, 2017)

Multi-scale event-based optimization for matching uncertain wind supply with EV charging demand. - Teng Long; Jing-Xian Tang; Qing-Shan Jia (CASE, 2017)

An occupancy distribution estimation method using the surveillance cameras in buildings. - Chao Zhang; Qing-Shan Jia (CASE, 2017)

Stochastic coordination of aggregated electric vehicle charging with on-site wind power at multiple buildings. - Yu Yang 008; Qing-Shan Jia; Xiaohong Guan (CDC, 2017)

Community-level Geothermal Heat Pump system management via an aggregation-disaggregation framework. - Xuan Zhang 004; Bin Yan; Wenbo Shi; Ali Malkawi; Qing-Shan Jia; Na Li 002 (CDC, 2017)

A Multi-Timescale and Bilevel Coordination Approach for Matching Uncertain Wind Supply With EV Charging Demand. - Qilong Huang; Qing-Shan Jia; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2017)

On Distributed Optimization for Supply Demand Coordination in Cyber Physical Energy Systems. - Junjie Wu 004; Qing-Shan Jia; Zhanbo Xu (CASE, 2018)

A Q-Learning Method for Scheduling Shared EVs Under Uncertain User Demand and Wind Power Supply. - Junjie Wu 004; Qing-Shan Jia (CCTA, 2018)

Cyber-physical model for efficient and secured operation of CPES or energy Internet. - Xiaohong Guan; Zhanbo Xu; Qing-Shan Jia; Kun Liu 017; Yadong Zhou (Sci. China Inf. Sci., 2018)

On distributed event-based optimization for shared economy in cyber-physical energy systems. - Qing-Shan Jia; Junjie Wu 004 (Sci. China Inf. Sci., 2018)

Guest Editorial: Special Issue on (Industrial) Internet-of-Things for Smart and Sensing Systems: Issues, Trends, and Applications. - Hervé Panetto; Paulo Cézar Stadzisz; Wenchao Li 001; Qing-Shan (Samuel) Jia (IEEE Internet Things J., 2018)

Event-Based HVAC Control - A Complexity-Based Approach. - Qing-Shan Jia; Junjie Wu 004; Zijian Wu; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2018)

Robust Scheduling of EV Charging Load With Uncertain Wind Power Integration. - Qilong Huang; Qing-Shan Jia; Xiaohong Guan (IEEE Trans. Smart Grid, 2018)

Distributed Coordination of EV Charging With Renewable Energy in a Microgrid of Buildings. - Yu Yang 008; Qing-Shan Jia; Geert Deconinck; Xiaohong Guan; Zhifeng Qiu; Zechun Hu (IEEE Trans. Smart Grid, 2018)

A Simulation-Based Policy Improvement Method for Joint-Operation of Building Microgrids With Distributed Solar Power and Battery. - Yuanming Zhang; Qing-Shan Jia (IEEE Trans. Smart Grid, 2018)

A Simulation Platform for Sensing System Selection for Occupant Distribution Estimation in Smart Buildings. - Jing-Xian Tang; Qing-Shan Jia (CASE, 2019)

Bi-level Proximal Policy optimization for Stochastic Coordination of EV Charging Load with Uncertain Wind Power. - Teng Long; Xiaoteng Ma; Qing-Shan Jia (CCTA, 2019)

A Distributed Occupancy Distribution Estimation Method For Smart Buildings. - Qing-Shan Jia; Chao Zhang; Zhiling Liu (ICCA, 2019)

Decentralized EV-Based Charging Optimization With Building Integrated Wind Energy. - Yu Yang 008; Qing-Shan Jia; Xiaohong Guan; Xuan Zhang 004; Zhifeng Qiu; Geert Deconinck (IEEE Trans Autom. Sci. Eng., 2019)

Dynamic Sampling Allocation for Selecting a Good Enough Alternative. - Gongbo Zhang; Chun-Hung Chen; Qing-Shan Jia; Yijie Peng (CASE, 2020)

Decentralized Multi-agent Reinforcement Learning with Multi-time Scale of Decision Epochs. - Junjie Wu 004; Kuo Li; Qing-Shan Jia (CDC, 2020)

Optimization of Large-Scale Commercial Electric Vehicles Fleet Charging Location Schedule Under the Distributed wind Power Supply. - Teng Long; Qing-Shan Jia (COMPSAC, 2020)

Event-based optimization with random packet dropping. - Qing-Shan Jia; Jing-Xian Tang; Zhenning Lang (Sci. China Inf. Sci., 2020)

A sparse deep belief network with efficient fuzzy learning framework. - Gongming Wang; Qing-Shan Jia; Junfei Qiao 001; Jing Bi 001; Caixia Liu (Neural Networks, 2020)

Guest Editorial Special Section on the 2017 International Conference on Automation Science and Engineering. - Mariagrazia Dotoli; Qing-Shan Jia (IEEE Trans Autom. Sci. Eng., 2020)

Learning Optimal Scheduling Policy for Remote State Estimation Under Uncertain Channel Condition. - Shuang Wu 005; Xiaoqiang Ren; Qing-Shan Jia; Karl Henrik Johansson; Ling Shi 001 (IEEE Trans. Control. Netw. Syst., 2020)

An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. - Gongming Wang; Junfei Qiao 001; Jing Bi 001; Qing-Shan Jia; MengChu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning-Based Safety-Critical Motion Planning with Input-to-State Barrier Certificate. - Xinze Jin; Qing-Shan Jia; Tao Zhang 033; Huaxia Xia (CASE, 2021)

An Actor-Critic Method for Simulation-Based Optimization. - Kuo Li; Qing-Shan Jia; Jiaqi Yan (CoRR, 2021)

Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method. - Kuo Li; Qing-Shan Jia (CoRR, 2021)

Matching Uncertain Renewable Supply with Electric Vehicle Charging Demand - A Bi-Level Event-Based Optimization Method. - Teng Long; Qing-Shan Jia (Complex Syst. Model. Simul., 2021)

Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning. - Gongming Wang; Qing-Shan Jia; MengChu Zhou; Jing Bi 001; Junfei Qiao 001 (Neurocomputing, 2021)

Joint Scheduling of Deferrable Demand and Storage With Random Supply and Processing Rate Limits. - Jiangliang Jin; Liangliang Hao; Yunjian Xu; Junjie Wu 004; Qing-Shan Jia (IEEE Trans. Autom. Control., 2021)

A Computing Budget Allocation Method for Minimizing EV Charging Cost Using Uncertain Wind Power. - Zhaoyu Jiang; Qing-Shan Jia; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2021)

A Structural Property of Charging Scheduling Policy for Shared Electric Vehicles With Wind Power Generation. - Qing-Shan Jia; Junjie Wu 004 (IEEE Trans. Control. Syst. Technol., 2021)

Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System. - Gongming Wang; Qing-Shan Jia; Junfei Qiao 001; Jing Bi 001; MengChu Zhou (IEEE Trans. Neural Networks Learn. Syst., 2021)

Efficient Real-Time EV Charging Scheduling via Ordinal Optimization. - Teng Long; Qing-Shan Jia; Gongming Wang; Yu Yang 008 (IEEE Trans. Smart Grid, 2021)

Bridging Scenarios in Reinforcement Learning with Continuously Generated Relaying Predictive Models. - Kuo Li; Qing-Shan Jia (CASE, 2022)

Artificial neural networks for water quality soft-sensing in wastewater treatment: a review. - Gongming Wang; Qing-Shan Jia; MengChu Zhou; Jing Bi 001; Junfei Qiao 001; Abdullah Abusorrah (Artif. Intell. Rev., 2022)

Control for smart systems: Challenges and trends in smart cities. - Qing-Shan Jia; Hervé Panetto; Marco Macchi; Silvia Siri; Georg Weichhart; Zhanbo Xu (Annu. Rev. Control., 2022)

Control for smart systems: Applications, trends, and future challenges. - Hervé Panetto; Georg Weichhart; Marco Macchi; Qing-Shan Jia (Annu. Rev. Control., 2022)

Proximal ADMM for nonconvex and nonsmooth optimization. - Yu Yang 008; Qing-Shan Jia; Zhanbo Xu; Xiaohong Guan; Costas J. Spanos (Autom., 2022)

On large action space in EV charging scheduling optimization. - Zhaoyu Jiang; Qing-Shan Jia; Xiaohong Guan (Sci. China Inf. Sci., 2022)

A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features. - Yu Yang 008; Xiaohong Guan; Qing-Shan Jia; Liang Yu 001; Bolun Xu; Costas J. Spanos (CoRR, 2022)

A Two-phase On-line Joint Scheduling of Pricing and Control for Welfare Maximization of Charging Station. - Qilong Huang; Qing-Shan Jia; Li Yang; Xiang Wu; Xiaohong Guan (CoRR, 2022)

Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels. - Shuang Wu 005; Xiaoqiang Ren; Qing-Shan Jia; Karl Henrik Johansson; Ling Shi 001 (CoRR, 2022)

Multiagent Dynamic Task Assignment Based on Forest Fire Point Model. - Jie Chen 079; Yuqian Guo; Zhifeng Qiu; Bin Xin 002; Qing-Shan Jia; Weihua Gui 001 (IEEE Trans Autom. Sci. Eng., 2022)

Special Issue on the 2020 International Conference on Automation Science and Engineering. - Mariagrazia Dotoli; Weiming Shen 001; Qing-Shan Jia; Ray Y. Zhong (IEEE Trans Autom. Sci. Eng., 2022)

Joint Optimization for Coordinated Charging Control of Commercial Electric Vehicles Under Distributed Hydrogen Energy Supply. - Teng Long; Qing-Shan Jia (IEEE Trans. Control. Syst. Technol., 2022)

Mind the Gap: Offline Policy Optimization for Imperfect Rewards. - Jianxiong Li; Xiao Hu; Haoran Xu 003; Jingjing Liu; Xianyuan Zhan; Qing-Shan Jia; Ya-Qin Zhang (ICLR, 2023)

Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process. - Gongming Wang; Jing Bi 001; Qing-Shan Jia; Junfei Qiao 001; Lei Wang 173 (IEEE Trans. Ind. Informatics, 2023)

A Simulation-Based Primal-Dual Approach for Constrained V2G Scheduling in a Microgrid of Building. - Qilong Huang; Li Yang; Qing-Shan Jia; Yaowen Qi; Cangqi Zhou; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2023)

Efficient Sampling Policy for Selecting a Subset With the Best. - Gongbo Zhang; Bin Chen 003; Qing-Shan Jia; Yijie Peng (IEEE Trans. Autom. Control., 2023)

On Sampling Efficiency Optimization in Constrained Reinforcement Learning*. - Qing-Shan Jia (AIM, 2024)

On Efficient Sampling in Offline Reinforcement Learning. - Qing-Shan Jia (ASCC, 2024)

On Efficient Sampling for Reinforcement Learning with Multiple Constraints. - Qing-Shan Jia; Qi Guo (CASE, 2024)

Large-Scale Data Center Cooling Control via Sample-Efficient Reinforcement Learning. - Ni Mu; Xiao Hu; Qing-Shan Jia; Xu Zhu; Xiao He (CASE, 2024)

CoDRMA: Collaborative Depth Refinement via Dual-Mask and Dual-Attention for Bird's Eye View Collaborative 3D Object Detection. - Kang Yang; Yongcai Wang; Yunjun Han; Qing-Shan Jia (CASE, 2024)

Double Deep Q-learning Based on Personalized Thermal Comfort Model for HVAC Optimization. - Hanchen Zhou; Di Wang; Zhanbo Xu; Qing-Shan Jia (CASE, 2024)

Query-Policy Misalignment in Preference-Based Reinforcement Learning. - Xiao Hu; Jianxiong Li; Xianyuan Zhan; Qing-Shan Jia; Ya-Qin Zhang (ICLR, 2024)

Simulation and AI for Critical Infrastructure. - Qing-Shan Jia; Chao Duan; Shuo Feng 002; Yuhang Zhu; Xiao Hu (WSC, 2024)

Shaping the future of advanced automation and control systems for society strategic directions and multidisciplinary collaborations of IFAC's social systems coordinating committee. - Larry Stapleton; Fei-Yue Wang 001; Mariana S. Netto; Qing-Shan Jia; Antonio Visioli; Peter Kopacek (Annu. Rev. Control., 2024)

Constrained reinforcement learning with statewise projection: a control barrier function approach. - Xinze Jin; Kuo Li; Qing-Shan Jia (Sci. China Inf. Sci., 2024)

S-EPOA: Overcoming the Indivisibility of Annotations with Skill-Driven Preference-Based Reinforcement Learning. - Ni Mu; Yao Luan 001; Yiqin Yang; Qing-Shan Jia (CoRR, 2024)

Energy Management of Networked Microgrids With Real-Time Pricing by Reinforcement Learning. - Gaochen Cui; Qing-Shan Jia; Xiaohong Guan (IEEE Trans. Smart Grid, 2024)

Complexity-Based Structural Optimization of Deep Belief Network and Application in Wastewater Treatment Process. - Gongming Wang; Guanghui Yuan; Zhiqiang Hu; Yuanying Chi; Qing-Shan Jia; Junfei Qiao 001 (IEEE Trans. Ind. Informatics, 2024)

An OCBA-Based Method for Efficient Sample Collection in Reinforcement Learning. - Kuo Li; Xinze Jin; Qing-Shan Jia; Dongchun Ren; Huaxia Xia (IEEE Trans Autom. Sci. Eng., 2024)

Two-Phase on-Line Joint Scheduling for Welfare Maximization of Charging Station. - Qilong Huang; Qing-Shan Jia; Xiang Wu; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2024)

Multi-Agent Reinforcement Learning With Decentralized Distribution Correction. - Kuo Li; Qing-Shan Jia (IEEE Trans Autom. Sci. Eng., 2025)

An Efficient Real-Time Railway Container Yard Management Method Based on Partial Decoupling. - Yao Luan 001; Qing-Shan Jia; Yi Xing; Zhiyu Li; Tengfei Wang (IEEE Trans Autom. Sci. Eng., 2025)

Proactive Robust Hardening of Resilient Power Distribution Network: Decision-Dependent Uncertainty Modeling and Fast Solution Strategy. - Donglai Ma; Xiaoyu Cao; Bo Zeng 001; Qing-Shan Jia; Chen Chen 007; Qiaozhu Zhai; Xiaohong Guan (IEEE Trans Autom. Sci. Eng., 2025)

Preference-Based Multi-Objective Reinforcement Learning. - Ni Mu; Yao Luan 001; Qing-Shan Jia (IEEE Trans Autom. Sci. Eng., 2025)

A Transformer-Based Thermal Surrogate Model for Cooling Control in Data Centers. - Hanchen Zhou; Ni Mu; Qing-Shan Jia (IEEE Robotics Autom. Lett., 2025)

Robust Co-Optimization of Distribution Network Hardening and Mobile Resource Scheduling with Decision-Dependent Uncertainty. - Donglai Ma; Xiaoyu Cao; Bo Zeng 001; Chen Chen 007; Qiaozhu Zhai; Qing-Shan Jia; Xiaohong Guan (CoRR, 2025)

CLARIFY: Contrastive Preference Reinforcement Learning for Untangling Ambiguous Queries. - Ni Mu; Hao Hu; Xiao Hu; Yiqin Yang; Bo Xu; Qing-Shan Jia (CoRR, 2025)

Towards provable probabilistic safety for scalable embodied AI systems. - Linxuan He; Qing-Shan Jia; Ang Li; Hongyan Sang; Ling Wang 001; Jiwen Lu; Tao Zhang 033; Jie Zhou 001; Yi Zhang 029; Yisen Wang 001; Peng Wei; Zhongyuan Wang; et al. (CoRR, 2025)

Multiagent Reinforcement Learning for Constrained Markov Decision Processes by Consensus-Based Primal-Dual Method. - Gaochen Cui; Qing-Shan Jia; Xiaohong Guan (IEEE Trans. Autom. Control., 2025)