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Qing-Shan Jia
Qing-Shan (Samuel) Jia
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2020 – today
- 2025
- [j75]Hanchen Zhou, Ni Mu, Qing-Shan Jia:
A Transformer-Based Thermal Surrogate Model for Cooling Control in Data Centers. IEEE Robotics Autom. Lett. 10(1): 644-651 (2025) - 2024
- [j74]Larry Stapleton, Fei-Yue Wang, Mariana S. Netto, Qing-Shan Jia, Antonio Visioli, Peter Kopacek:
Shaping the future of advanced automation and control systems for society strategic directions and multidisciplinary collaborations of IFAC's social systems coordinating committee. Annu. Rev. Control. 58: 100967 (2024) - [j73]Xinze Jin, Kuo Li, Qing-Shan Jia:
Constrained reinforcement learning with statewise projection: a control barrier function approach. Sci. China Inf. Sci. 67(3) (2024) - [j72]Kuo Li, Xinze Jin, Qing-Shan Jia, Dongchun Ren, Huaxia Xia:
An OCBA-Based Method for Efficient Sample Collection in Reinforcement Learning. IEEE Trans Autom. Sci. Eng. 21(3): 3615-3626 (2024) - [j71]Qilong Huang, Qing-Shan Jia, Xiang Wu, Xiaohong Guan:
Two-Phase on-Line Joint Scheduling for Welfare Maximization of Charging Station. IEEE Trans Autom. Sci. Eng. 21(4): 5700-5712 (2024) - [j70]Gongming Wang, Guanghui Yuan, Zhiqiang Hu, Yuanying Chi, Qing-Shan Jia, Junfei Qiao:
Complexity-Based Structural Optimization of Deep Belief Network and Application in Wastewater Treatment Process. IEEE Trans. Ind. Informatics 20(4): 6974-6982 (2024) - [j69]Gaochen Cui, Qing-Shan Jia, Xiaohong Guan:
Energy Management of Networked Microgrids With Real-Time Pricing by Reinforcement Learning. IEEE Trans. Smart Grid 15(1): 570-580 (2024) - [c61]Qing-Shan Jia:
On Sampling Efficiency Optimization in Constrained Reinforcement Learning*. AIM 2024: 966-971 - [c60]Qing-Shan Jia, Qi Guo:
On Efficient Sampling for Reinforcement Learning with Multiple Constraints. CASE 2024: 2768-2773 - [c59]Ni Mu, Xiao Hu, Qing-Shan Jia, Xu Zhu, Xiao He:
Large-Scale Data Center Cooling Control via Sample-Efficient Reinforcement Learning. CASE 2024: 2780-2785 - [c58]Kang Yang, Yongcai Wang, Yunjun Han, Qing-Shan Jia:
CoDRMA: Collaborative Depth Refinement via Dual-Mask and Dual-Attention for Bird's Eye View Collaborative 3D Object Detection. CASE 2024: 2832-2837 - [c57]Hanchen Zhou, Di Wang, Zhanbo Xu, Qing-Shan Jia:
Double Deep Q-learning Based on Personalized Thermal Comfort Model for HVAC Optimization. CASE 2024: 3262-3267 - [c56]Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang:
Query-Policy Misalignment in Preference-Based Reinforcement Learning. ICLR 2024 - [i12]Ni Mu, Yao Luan, Yiqin Yang, Qing-Shan Jia:
S-EPOA: Overcoming the Indivisibility of Annotations with Skill-Driven Preference-Based Reinforcement Learning. CoRR abs/2408.12130 (2024) - 2023
- [j68]Gongbo Zhang, Bin Chen, Qing-Shan Jia, Yijie Peng:
Efficient Sampling Policy for Selecting a Subset With the Best. IEEE Trans. Autom. Control. 68(8): 4904-4911 (2023) - [j67]Qilong Huang, Li Yang, Qing-Shan Jia, Yaowen Qi, Cangqi Zhou, Xiaohong Guan:
A Simulation-Based Primal-Dual Approach for Constrained V2G Scheduling in a Microgrid of Building. IEEE Trans Autom. Sci. Eng. 20(3): 1851-1863 (2023) - [j66]Gongming Wang, Jing Bi, Qing-Shan Jia, Junfei Qiao, Lei Wang:
Event-Driven Model Predictive Control With Deep Learning for Wastewater Treatment Process. IEEE Trans. Ind. Informatics 19(5): 6398-6407 (2023) - [c55]Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang:
Mind the Gap: Offline Policy Optimization for Imperfect Rewards. ICLR 2023 - [i11]Jianxiong Li, Xiao Hu, Haoran Xu, Jingjing Liu, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang:
Mind the Gap: Offline Policy Optimization for Imperfect Rewards. CoRR abs/2302.01667 (2023) - [i10]Xiao Hu, Jianxiong Li, Xianyuan Zhan, Qing-Shan Jia, Ya-Qin Zhang:
Query-Policy Misalignment in Preference-Based Reinforcement Learning. CoRR abs/2305.17400 (2023) - 2022
- [j65]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao, Abdullah Abusorrah:
Artificial neural networks for water quality soft-sensing in wastewater treatment: a review. Artif. Intell. Rev. 55(1): 565-587 (2022) - [j64]Hervé Panetto, Georg Weichhart, Marco Macchi, Qing-Shan Jia:
Control for smart systems: Applications, trends, and future challenges. Annu. Rev. Control. 53: 356-357 (2022) - [j63]Qing-Shan Jia, Hervé Panetto, Marco Macchi, Silvia Siri, Georg Weichhart, Zhanbo Xu:
Control for smart systems: Challenges and trends in smart cities. Annu. Rev. Control. 53: 358-369 (2022) - [j62]Yu Yang, Qing-Shan Jia, Zhanbo Xu, Xiaohong Guan, Costas J. Spanos:
Proximal ADMM for nonconvex and nonsmooth optimization. Autom. 146: 110551 (2022) - [j61]Zhaoyu Jiang, Qing-Shan Jia, Xiaohong Guan:
On large action space in EV charging scheduling optimization. Sci. China Inf. Sci. 65(2) (2022) - [j60]Jie Chen, Yuqian Guo, Zhifeng Qiu, Bin Xin, Qing-Shan Jia, Weihua Gui:
Multiagent Dynamic Task Assignment Based on Forest Fire Point Model. IEEE Trans Autom. Sci. Eng. 19(2): 833-849 (2022) - [j59]Mariagrazia Dotoli, Weiming Shen, Qing-Shan Jia, Ray Y. Zhong:
Special Issue on the 2020 International Conference on Automation Science and Engineering. IEEE Trans Autom. Sci. Eng. 19(3): 1309-1311 (2022) - [j58]Teng Long, Qing-Shan Jia:
Joint Optimization for Coordinated Charging Control of Commercial Electric Vehicles Under Distributed Hydrogen Energy Supply. IEEE Trans. Control. Syst. Technol. 30(2): 835-843 (2022) - [c54]Kuo Li, Qing-Shan Jia:
Bridging Scenarios in Reinforcement Learning with Continuously Generated Relaying Predictive Models. CASE 2022: 10-15 - [i9]Yu Yang, Qing-Shan Jia, Zhanbo Xu, Xiaohong Guan, Costas J. Spanos:
Proximal ADMM for Nonconvex and Nonsmooth Optimization. CoRR abs/2205.01951 (2022) - [i8]Yu Yang, Xiaohong Guan, Qing-Shan Jia, Liang Yu, Bolun Xu, Costas J. Spanos:
A Survey of ADMM Variants for Distributed Optimization: Problems, Algorithms and Features. CoRR abs/2208.03700 (2022) - [i7]Qilong Huang, Qing-Shan Jia, Li Yang, Xiang Wu, Xiaohong Guan:
A Two-phase On-line Joint Scheduling of Pricing and Control for Welfare Maximization of Charging Station. CoRR abs/2208.10011 (2022) - [i6]Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia, Karl Henrik Johansson, Ling Shi:
Towards Efficient Dynamic Uplink Scheduling over Multiple Unknown Channels. CoRR abs/2212.06633 (2022) - 2021
- [j57]Teng Long, Qing-Shan Jia:
Matching Uncertain Renewable Supply with Electric Vehicle Charging Demand - A Bi-Level Event-Based Optimization Method. Complex Syst. Model. Simul. 1(1): 33-44 (2021) - [j56]Gongming Wang, Qing-Shan Jia, MengChu Zhou, Jing Bi, Junfei Qiao:
Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning. Neurocomputing 436: 103-113 (2021) - [j55]Jiangliang Jin, Liangliang Hao, Yunjian Xu, Junjie Wu, Qing-Shan Jia:
Joint Scheduling of Deferrable Demand and Storage With Random Supply and Processing Rate Limits. IEEE Trans. Autom. Control. 66(11): 5506-5513 (2021) - [j54]Zhaoyu Jiang, Qing-Shan Jia, Xiaohong Guan:
A Computing Budget Allocation Method for Minimizing EV Charging Cost Using Uncertain Wind Power. IEEE Trans Autom. Sci. Eng. 18(2): 681-692 (2021) - [j53]Qing-Shan Jia, Junjie Wu:
A Structural Property of Charging Scheduling Policy for Shared Electric Vehicles With Wind Power Generation. IEEE Trans. Control. Syst. Technol. 29(6): 2393-2405 (2021) - [j52]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, MengChu Zhou:
Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3643-3652 (2021) - [j51]Teng Long, Qing-Shan Jia, Gongming Wang, Yu Yang:
Efficient Real-Time EV Charging Scheduling via Ordinal Optimization. IEEE Trans. Smart Grid 12(5): 4029-4038 (2021) - [c53]Xinze Jin, Qing-Shan Jia, Tao Zhang, Huaxia Xia:
Learning-Based Safety-Critical Motion Planning with Input-to-State Barrier Certificate. CASE 2021: 1967-1972 - [i5]Kuo Li, Qing-Shan Jia, Jiaqi Yan:
An Actor-Critic Method for Simulation-Based Optimization. CoRR abs/2111.00435 (2021) - [i4]Kuo Li, Qing-Shan Jia:
Decentralized Multi-Agent Reinforcement Learning: An Off-Policy Method. CoRR abs/2111.00438 (2021) - 2020
- [j50]Qing-Shan Jia, Jing-Xian Tang, Zhenning Lang:
Event-based optimization with random packet dropping. Sci. China Inf. Sci. 63(11) (2020) - [j49]Gongming Wang, Qing-Shan Jia, Junfei Qiao, Jing Bi, Caixia Liu:
A sparse deep belief network with efficient fuzzy learning framework. Neural Networks 121: 430-440 (2020) - [j48]Mariagrazia Dotoli, Qing-Shan Jia:
Guest Editorial Special Section on the 2017 International Conference on Automation Science and Engineering. IEEE Trans Autom. Sci. Eng. 17(3): 1095-1096 (2020) - [j47]Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia, Karl Henrik Johansson, Ling Shi:
Learning Optimal Scheduling Policy for Remote State Estimation Under Uncertain Channel Condition. IEEE Trans. Control. Netw. Syst. 7(2): 579-591 (2020) - [j46]Gongming Wang, Junfei Qiao, Jing Bi, Qing-Shan Jia, MengChu Zhou:
An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines. IEEE Trans. Neural Networks Learn. Syst. 31(10): 4217-4228 (2020) - [c52]Gongbo Zhang, Chun-Hung Chen, Qing-Shan Jia, Yijie Peng:
Dynamic Sampling Allocation for Selecting a Good Enough Alternative. CASE 2020: 1319-1324 - [c51]Junjie Wu, Kuo Li, Qing-Shan Jia:
Decentralized Multi-agent Reinforcement Learning with Multi-time Scale of Decision Epochs. CDC 2020: 578-584 - [c50]Teng Long, Qing-Shan Jia:
Optimization of Large-Scale Commercial Electric Vehicles Fleet Charging Location Schedule Under the Distributed wind Power Supply. COMPSAC 2020: 1398-1404 - [i3]Teng Long, Qing-Shan Jia:
Joint Optimization for Coordinated Charging Control of Commercial Electric Vehicles Under Distributed Hydrogen Energy Supply. CoRR abs/2010.08121 (2020)
2010 – 2019
- 2019
- [j45]Yu Yang, Qing-Shan Jia, Xiaohong Guan, Xuan Zhang, Zhifeng Qiu, Geert Deconinck:
Decentralized EV-Based Charging Optimization With Building Integrated Wind Energy. IEEE Trans Autom. Sci. Eng. 16(3): 1002-1017 (2019) - [c49]Jing-Xian Tang, Qing-Shan Jia:
A Simulation Platform for Sensing System Selection for Occupant Distribution Estimation in Smart Buildings. CASE 2019: 985-990 - [c48]Teng Long, Xiaoteng Ma, Qing-Shan Jia:
Bi-level Proximal Policy optimization for Stochastic Coordination of EV Charging Load with Uncertain Wind Power. CCTA 2019: 302-307 - [c47]Qing-Shan Jia, Chao Zhang, Zhiling Liu:
A Distributed Occupancy Distribution Estimation Method For Smart Buildings. ICCA 2019: 211-216 - 2018
- [j44]Xiaohong Guan, Zhanbo Xu, Qing-Shan Jia, Kun Liu, Yadong Zhou:
Cyber-physical model for efficient and secured operation of CPES or energy Internet. Sci. China Inf. Sci. 61(11): 110201:1-110201:3 (2018) - [j43]Qing-Shan Jia, Junjie Wu:
On distributed event-based optimization for shared economy in cyber-physical energy systems. Sci. China Inf. Sci. 61(11): 110203:1-110203:3 (2018) - [j42]Hervé Panetto, Paulo Cézar Stadzisz, Wenchao Li, Qing-Shan (Samuel) Jia:
Guest Editorial: Special Issue on (Industrial) Internet-of-Things for Smart and Sensing Systems: Issues, Trends, and Applications. IEEE Internet Things J. 5(6): 4392-4395 (2018) - [j41]Qing-Shan Jia, Junjie Wu, Zijian Wu, Xiaohong Guan:
Event-Based HVAC Control - A Complexity-Based Approach. IEEE Trans Autom. Sci. Eng. 15(4): 1909-1919 (2018) - [j40]Qilong Huang, Qing-Shan Jia, Xiaohong Guan:
Robust Scheduling of EV Charging Load With Uncertain Wind Power Integration. IEEE Trans. Smart Grid 9(2): 1043-1054 (2018) - [j39]Yuanming Zhang, Qing-Shan Jia:
A Simulation-Based Policy Improvement Method for Joint-Operation of Building Microgrids With Distributed Solar Power and Battery. IEEE Trans. Smart Grid 9(6): 6242-6252 (2018) - [j38]Yu Yang, Qing-Shan Jia, Geert Deconinck, Xiaohong Guan, Zhifeng Qiu, Zechun Hu:
Distributed Coordination of EV Charging With Renewable Energy in a Microgrid of Buildings. IEEE Trans. Smart Grid 9(6): 6253-6264 (2018) - [c46]Junjie Wu, Qing-Shan Jia, Zhanbo Xu:
On Distributed Optimization for Supply Demand Coordination in Cyber Physical Energy Systems. CASE 2018: 553-558 - [c45]Junjie Wu, Qing-Shan Jia:
A Q-Learning Method for Scheduling Shared EVs Under Uncertain User Demand and Wind Power Supply. CCTA 2018: 601-607 - [i2]Shuang Wu, Xiaoqiang Ren, Qing-Shan Jia, Karl Henrik Johansson, Ling Shi:
Learning Optimal Scheduling Policy for Remote State Estimation under Uncertain Channel Condition. CoRR abs/1810.09820 (2018) - 2017
- [j37]Qilong Huang, Qing-Shan Jia, Xiaohong Guan:
A Multi-Timescale and Bilevel Coordination Approach for Matching Uncertain Wind Supply With EV Charging Demand. IEEE Trans Autom. Sci. Eng. 14(2): 694-704 (2017) - [c44]Zhiling Liu, Qing-Shan Jia, Hui Zhang:
An evacuation guider location optimization method based on road network centrality measures. CASE 2017: 838-843 - [c43]Teng Long, Jing-Xian Tang, Qing-Shan Jia:
Multi-scale event-based optimization for matching uncertain wind supply with EV charging demand. CASE 2017: 847-852 - [c42]Chao Zhang, Qing-Shan Jia:
An occupancy distribution estimation method using the surveillance cameras in buildings. CASE 2017: 894-899 - [c41]Zhaoyu Jiang, Qing-Shan Jia, Xiaohong Guan:
Optimization of sensor location for improving wind power prediction accuracy. CASE 2017: 1220-1225 - [c40]Xuan Zhang, Bin Yan, Wenbo Shi, Ali Malkawi, Qing-Shan Jia, Na Li:
Community-level Geothermal Heat Pump system management via an aggregation-disaggregation framework. CDC 2017: 3487-3494 - [c39]Yu Yang, Qing-Shan Jia, Xiaohong Guan:
Stochastic coordination of aggregated electric vehicle charging with on-site wind power at multiple buildings. CDC 2017: 4434-4439 - 2016
- [j36]Jie Xu, Edward Huang, Liam Y. Hsieh, Loo Hay Lee, Qing-Shan Jia, Chun-Hung Chen:
Simulation optimization in the era of Industrial 4.0 and the Industrial Internet. J. Simulation 10(4): 310-320 (2016) - [j35]Zijian Wu, Qing-Shan Jia, Xiaohong Guan:
Optimal Control of Multiroom HVAC System: An Event-Based Approach. IEEE Trans. Control. Syst. Technol. 24(2): 662-669 (2016) - [c38]Qilong Huang, Qing-Shan Jia, Xiaohong Guan:
Coordinating EV charging demand with wind supply in a bi-level energy dispatch framework. ACC 2016: 6233-6238 - [c37]Zhenning Lang, Qing-Shan Jia, Xiaohang Feng:
A three-level human movement model in the whole building scale. ICCA 2016: 836-841 - [c36]Yu Yang, Qing-Shan Jia, Xiaohong Guan:
Improving the prediction accuracy of building energy consumption using location of occupant - A case study. ICIT 2016: 1550-1555 - 2015
- [j34]Li Xia, Qing-Shan Jia:
Parameterized Markov decision process and its application to service rate control. Autom. 54: 29-35 (2015) - [j33]Zhanbo Xu, Qing-Shan Jia, Xiaohong Guan:
Supply Demand Coordination for Building Energy Saving: Explore the Soft Comfort. IEEE Trans Autom. Sci. Eng. 12(2): 656-665 (2015) - [j32]Biao Sun, Peter B. Luh, Qing-Shan Jia, Bing Yan:
Event-Based Optimization Within the Lagrangian Relaxation Framework for Energy Savings in HVAC Systems. IEEE Trans Autom. Sci. Eng. 12(4): 1396-1406 (2015) - [j31]Qing-Shan Jia, Hengtao Wang, Yulin Lei, Qianchuan Zhao, Xiaohong Guan:
A Decentralized Stay-Time Based Occupant Distribution Estimation Method for Buildings. IEEE Trans Autom. Sci. Eng. 12(4): 1482-1491 (2015) - [j30]Qilong Huang, Qing-Shan Jia, Zhifeng Qiu, Xiaohong Guan, Geert Deconinck:
Matching EV Charging Load With Uncertain Wind: A Simulation-Based Policy Improvement Approach. IEEE Trans. Smart Grid 6(3): 1425-1433 (2015) - [c35]Qilong Huang, Qing-Shan Jia, Xiaohong Guan:
EV charging load scheduling with high wind power penetration: A robust shortest path approach. ACC 2015: 2765-2770 - [c34]Qilong Huang, Qing-Shan Jia, Xiaohong Guan:
Multi-timescale optimization between distributed wind generators and electric vehicles in microgrid. CASE 2015: 671-676 - [c33]Yundan Liao, Gongsheng Huang, Qing-Shan Jia:
Numerical testbed of a multiple-chiller plant for centralized HVAC systems. CASE 2015: 699-701 - [c32]Zijian Wu, Qing-Shan Jia, Xiaohong Guan:
Local and global event-based optimization: Performace and complexity. CASE 2015: 1375-1380 - 2014
- [j29]Qing-Shan Jia, Karl Henrik Johansson:
Guest editorial: event-based control and optimization. Discret. Event Dyn. Syst. 24(2): 99-102 (2014) - [j28]Li Xia, Qing-Shan Jia, Xi-Ren Cao:
A tutorial on event-based optimization - a new optimization framework. Discret. Event Dyn. Syst. 24(2): 103-132 (2014) - [j27]Hengtao Wang, Qing-Shan Jia, Chen Song, Ruixi Yuan, Xiaohong Guan:
Building occupant level estimation based on heterogeneous information fusion. Inf. Sci. 272: 145-157 (2014) - [j26]Biao Sun, Peter B. Luh, Qing-Shan Jia, Zheng O'Neill, Fangting Song:
Building Energy Doctors: An SPC and Kalman Filter-Based Method for System-Level Fault Detection in HVAC Systems. IEEE Trans Autom. Sci. Eng. 11(1): 215-229 (2014) - [c31]Qilong Huang, Qing-Shan Jia, Li Xia, Xiaohong Guan, Xiaolan Xie:
EV charging load scheduling following uncertain renewable energy supply by stochastic matching. CASE 2014: 137-142 - [c30]Zhanbo Xu, Qing-Shan Jia, Xiaohong Guan, Xiaolan Xie:
A new method to solve large-scale building energy management for energy saving. CASE 2014: 940-945 - [c29]Zhenning Lang, Qing-Shan Jia, Yulin Lei, Xiaolan Xie:
A dual-infrared sensing system for occupant distribution estimation in buildings. CASE 2014: 960-965 - [c28]Kevin Weekly, Han Zou, Lihua Xie, Qing-Shan Jia, Alexandre M. Bayen:
Indoor Occupant Positioning System Using Active RFID Deployment and Particle Filters. DCOSS 2014: 35-42 - [c27]Yulin Lei, Qing-Shan Jia, Li Xia:
Local event-based sensor activation for occupant distribution estimation in buildings. ICNSC 2014: 338-343 - [c26]Di Wu, Qing-Shan Jia, Chun-Hung Chen:
Sample path sharing in simulation-based policy improvement. ICRA 2014: 3291-3296 - [c25]Di Wu, Qing-Shan Jia:
Sample Path Sharing in Policy Improvement for Indoor Air Temperature Control. WODES 2014: 247-252 - 2013
- [j25]Qing-Shan Jia:
Efficient Computing Budget Allocation for Simulation-Based Optimization With Stochastic Simulation Time. IEEE Trans. Autom. Control. 58(2): 539-544 (2013) - [j24]Junfeng Wu, Qing-Shan Jia, Karl Henrik Johansson, Ling Shi:
Event-Based Sensor Data Scheduling: Trade-Off Between Communication Rate and Estimation Quality. IEEE Trans. Autom. Control. 58(4): 1041-1046 (2013) - [j23]Biao Sun, Peter B. Luh, Qing-Shan Jia, Ziyan Jiang, Fulin Wang, Chen Song:
Building Energy Management: Integrated Control of Active and Passive Heating, Cooling, Lighting, Shading, and Ventilation Systems. IEEE Trans Autom. Sci. Eng. 10(3): 588-602 (2013) - [j22]Zhanbo Xu, Qing-Shan Jia, Xiaohong Guan, Jian-Xiang Shen:
Smart Management of Multiple Energy Systems in Automotive Painting Shop. IEEE Trans Autom. Sci. Eng. 10(3): 603-614 (2013) - [j21]Hengtao Wang, Qianchuan Zhao, Xiaohong Guan, Qing-Shan Jia, Li Li:
Reconfiguring Networked Infrastructures by Adding Wireless Communication Capabilities to Selected Nodes. IEEE Trans. Wirel. Commun. 12(9): 4518-4528 (2013) - [c24]Li Xia, Qing-Shan Jia:
Policy iteration for parameterized Markov decision processes and its application. ASCC 2013: 1-6 - [c23]Zhanbo Xu, Qing-Shan Jia, Xiaohong Guan:
Supply demand coordination for building energy saving. CASE 2013: 89-94 - [c22]Biao Sun, Peter B. Luh, Qing-Shan Jia, Bing Yan:
Event-based optimization with non-stationary uncertainties to save energy costs of HVAC systems in buildings. CASE 2013: 436-441 - [c21]Han Zou, Hengtao Wang, Lihua Xie, Qing-Shan Jia:
An RFID indoor positioning system by using weighted path loss and extreme learning machine. CPSNA 2013: 66-71 - [c20]Han Zou, Lihua Xie, Qing-Shan Jia, Hengtao Wang:
An integrative Weighted Path Loss and Extreme Learning Machine approach to Rfid based Indoor Positioning. IPIN 2013: 1-5 - 2012
- [j20]Li Li, Qing-Shan Jia, Xiaohong Guan, Hengtao Wang:
Enhancing the Robustness and Efficiency of Scale-free Network with Limited Link Addition. KSII Trans. Internet Inf. Syst. 6(5): 1333-1353 (2012) - [j19]Li Li, Qing-Shan Jia, Hengtao Wang, Ruixi Yuan, Xiaohong Guan:
A systematic method for network topology reconfiguration with limited link additions. J. Netw. Comput. Appl. 35(6): 1979-1989 (2012) - [j18]Qing-Shan Jia, Ling Shi, Yilin Mo, Bruno Sinopoli:
On Optimal Partial Broadcasting of Wireless Sensor Networks for Kalman Filtering. IEEE Trans. Autom. Control. 57(3): 715-721 (2012) - [j17]Qing-Shan Jia:
Efficient Computing Budget Allocation for Simulation-Based Policy Improvement. IEEE Trans Autom. Sci. Eng. 9(2): 342-352 (2012) - [j16]Zhanbo Xu, Xiaohong Guan, Qing-Shan Jia, Jiang Wu, Dai Wang, Siyun Chen:
Performance Analysis and Comparison on Energy Storage Devices for Smart Building Energy Management. IEEE Trans. Smart Grid 3(4): 2136-2147 (2012) - [j15]Qing-Shan Jia, Jian-Xiang Shen, Zhanbo Xu, Xiaohong Guan:
Simulation-Based Policy Improvement for Energy Management in Commercial Office Buildings. IEEE Trans. Smart Grid 3(4): 2211-2223 (2012) - [c19]Hengtao Wang, Qianchuan Zhao, Qing-Shan Jia, Xiaohong Guan:
Efficient topology optimization for a wired networked system by adding wireless communication. ACC 2012: 448-453 - [c18]