论文发表

智网中心往期论文

论文列表

期刊论文

2022年

  • SUN K L, ZHAO Q C, ZHANG Z Y, et al. Indoor occupancy measurement by the fusion of motion detection and static estimation [J]. Energy and Buildings, 2022, 254.
  • YANG Z, DU J H, LIN Y T, et al. Increasing the energy efficiency of a data center based on machine learning [J]. Journal of Industrial Ecology, 2022, 26(1): 323-35.
  • JIANG Z Y, JIA Q S, GUAN X H. On large action space in EV charging scheduling optimization [J]. Science China-Information Sciences, 2022, 65(2).
  • LONG T, JIA Q S. Joint Optimization for Coordinated Charging Control of Commercial Electric Vehicles Under Distributed Hydrogen Energy Supply [J]. Ieee Transactions on Control Systems Technology, 2022, 30(2): 835-43.
  • WANG G M, JIA Q S, ZHOU M C, et al. Artificial neural networks for water quality soft-sensing in wastewater treatment: a review [J]. Artificial Intelligence Review, 2022, 55(1): 565-87.
  • HUANG L Y, WU J F, MO Y L, et al. Joint Sensor and Actuator Placement for Infinite-Horizon LQG Control [J]. Ieee Transactions on Automatic Control, 2022, 67(1): 398-405.
  • CAO X, CHU B, LIU Y X, et al. Learning to Calibrate Quantum Control Pulses by Iterative Deconvolution [J]. Ieee Transactions on Control Systems Technology, 2022, 30(1): 193-201.
  • JIANG B B, BERLINER M D, LAI K, et al. Fast charging design for Lithium-ion batteries via Bayesian optimization [J]. Applied Energy, 2022, 307.
  • JIANG B B, ZHU B F. Dynamic Bhattacharyya Bound-Based Approach for Fault Classification in Industrial Processes [J]. Ieee Transactions on Industrial Informatics, 2022, 18(1): 397-404.

2021年

  • FENG L, ZHAO Q C, ZHOU C Q. Incorporating affiliation preference into overlapping community detection [J]. Physica a-Statistical Mechanics and Its Applications, 2021, 563.
  • HOU C, ZHAO Q C, BASAR T. Optimization of Web Service-Based Data-Collection System With Smart Sensor Nodes for Balance Between Network Traffic and Sensing Accuracy [J]. Ieee Transactions on Automation Science and Engineering, 2021, 18(4): 2022-34.
  • JI D S, ZHANG Z J, ZHAO Y Z, et al. Research on Classification of COVID-19 Chest X-Ray Image Modal Feature Fusion Based on Deep Learning [J]. Journal of Healthcare Engineering, 2021, 2021.
  • WANG X T, ZHAO Q C, WANG Y F, et al. Optimal Dynamic Duct Static Pressure Method in a Multi-Zone Variable Air Volume System [J]. Ieee Robotics and Automation Letters, 2021, 6(3): 5969-75.
  • JIA Q S, WU J J. A Structural Property of Charging Scheduling Policy for Shared Electric Vehicles With Wind Power Generation [J]. Ieee Transactions on Control Systems Technology, 2021, 29(6): 2393-405.
  • JIANG Z Y, JIA Q S, GUAN X H. A Computing Budget Allocation Method for Minimizing EV Charging Cost Using Uncertain Wind Power [J]. Ieee Transactions on Automation Science and Engineering, 2021, 18(2): 681-92.
  • JIN J L, HAO L L, XU Y J, et al. Joint Scheduling of Deferrable Demand and Storage With Random Supply and Processing Rate Limits [J]. Ieee Transactions on Automatic Control, 2021, 66(11): 5506-13.
  • KANG H, LIN T, XU X J, et al. DNA dynamics and computation based on toehold-free strand displacement [J]. Nature Communications, 2021, 12(1).
  • LONG T, JIA Q S, WANG G M, et al. Efficient Real-Time EV Charging Scheduling via Ordinal Optimization [J]. Ieee Transactions on Smart Grid, 2021, 12(5): 4029-38.
  • WANG G M, JIA Q S, QIAO J F, et al. Deep Learning-Based Model Predictive Control for Continuous Stirred-Tank Reactor System [J]. Ieee Transactions on Neural Networks and Learning Systems, 2021, 32(8): 3643-52.
  • WANG G M, JIA Q S, ZHOU M C, et al. Soft-sensing of Wastewater Treatment Process via Deep Belief Network with Event-triggered Learning [J]. Neurocomputing, 2021, 436: 103-13.
  • HUANG L Y, WANG J Z, KUNG E, et al. Stochastic Event-Based Sensor Schedules for Remote State Estimation in Cognitive Radio Sensor Networks [J]. Ieee Transactions on Automatic Control, 2021, 66(5): 2407-14.
  • LI Z S, MO Y L, HAO F. Distributed Sequential Hypothesis Testing With Byzantine Sensors [J]. Ieee Transactions on Signal Processing, 2021, 69: 3044-58.
  • LIU X H, MO Y L, GARONE E. Local Decomposition of Kalman Filters and its Application for Secure State Estimation [J]. Ieee Transactions on Automatic Control, 2021, 66(10): 5037-44.
  • SUI T J, MO Y L, MARELLI D, et al. The Vulnerability of Cyber-Physical System Under Stealthy Attacks [J]. Ieee Transactions on Automatic Control, 2021, 66(2): 637-50.
  • CAO X, LIU Y X, WU R B. Identification of time-varying signals in quantum systems [J]. Physical Review A, 2021, 103(2).
  • DING H J, CHU B, QI B, et al. Collaborative Learning of High-Precision Quantum Control and Tomography [J]. Physical Review Applied, 2021, 16(1).
  • GE X Z, WU R B. Risk-sensitive optimization for robust quantum controls [J]. Physical Review A, 2021, 104(1).
  • RUSSELL B, WU R B, RABITZ H. Quantum Control Landscapes Beyond the Dipole Approximation: Controllability, Singular Controls, and Resources [J]. Frontiers in Physics, 2021, 9.
  • JIANG B B, GENT W E, MOHR F, et al. Bayesian learning for rapid prediction of lithium-ion battery-cycling protocols [J]. Joule, 2021, 5(12): 3187-203.

2020年

  • CHEN W J, YANG Q L, JIANG Z Y, et al. Touch: A Textual Programming Language for Developing APPs of Insect Intelligent Building [J]. Scientific Programming, 2020, 2020.
  • FENG L, ZHAO Q C, ZHOU C Q. Epidemic in networked population with recurrent mobility pattern [J]. Chaos Solitons & Fractals, 2020, 139.
  • FENG L, ZHAO Q C, ZHOU C Q. Improving performances of Top-N recommendations with co-clustering method [J]. Expert Systems with Applications, 2020, 143.
  • FENG L, ZHAO Q C, ZHOU C Q. Epidemic spreading in heterogeneous networks with recurrent mobility patterns [J]. Physical Review E, 2020, 102(2).
  • HAIDER S N, ZHAO Q C, LI X L. Cluster-Based Prediction for Batteries in Data Centers [J]. Energies, 2020, 13(5).
  • HAIDER S N, ZHAO Q C, LI X L. Data driven battery anomaly detection based on shape based clustering for the data centers class [J]. Journal of Energy Storage, 2020, 29.
  • SUN K L, ZHAO Q C, ZOU J H. A review of building occupancy measurement systems [J]. Energy and Buildings, 2020, 216.
  • WANG X T, ZHAO Q C, WANG Y F. A Distributed Optimization Method for Energy Saving of Parallel-Connected Pumps in HVAC Systems [J]. Energies, 2020, 13(15).
  • DOTOLI M, JIA Q S. Guest Editorial Special Section on the 2017 International Conference on Automation Science and Engineering [J]. Ieee Transactions on Automation Science and Engineering, 2020, 17(3): 1095-6.
  • JIA Q S, TANG J X, LANG Z N. Event-based optimization with random packet dropping [J]. Science China-Information Sciences, 2020, 63(11).
  • WANG G M, JIA Q S, QIAO J F, et al. A sparse deep belief network with efficient fuzzy learning framework [J]. Neural Networks, 2020, 121: 430-40.
  • WANG G M, QIAO J F, BI J, et al. An Adaptive Deep Belief Network With Sparse Restricted Boltzmann Machines [J]. Ieee Transactions on Neural Networks and Learning Systems, 2020, 31(10): 4217-28.
  • WU S, REN X Q, JIA Q S, et al. Learning Optimal Scheduling Policy for Remote State Estimation Under Uncertain Channel Condition [J]. Ieee Transactions on Control of Network Systems, 2020, 7(2): 579-91.
  • NI Y Q, GUO Z Y, MO Y L, et al. On the Performance Analysis of Reset Attack in Cyber-Physical Systems [J]. Ieee Transactions on Automatic Control, 2020, 65(1): 419-25.
  • REN X Q, MO Y L, CHEN J, et al. Secure State Estimation With Byzantine Sensors: A Probabilistic Approach [J]. Ieee Transactions on Automatic Control, 2020, 65(9): 3742-57.
  • WANG J Z, REN X Q, MO Y L, et al. Whittle Index Policy for Dynamic Multichannel Allocation in Remote State Estimation [J]. Ieee Transactions on Automatic Control, 2020, 65(2): 591-603.
  • XU L, MO Y L, XIE L H. Distributed Consensus Over Markovian Packet Loss Channels [J]. Ieee Transactions on Automatic Control, 2020, 65(1): 279-86.
  • XU L, MO Y L, XIE L H. Remote State Estimation With Stochastic Event-Triggered Sensor Schedule and Packet Drops [J]. Ieee Transactions on Automatic Control, 2020, 65(11): 4981-8.
  • YUAN Y, MO Y L. Security for cyber-physical systems: Secure control against known-plaintext attack [J]. Science China-Technological Sciences, 2020, 63(9): 1637-46.
  • LIU H X, MO Y L, YAN J Q, et al. An Online Approach to Physical Watermark Design [J]. Ieee Transactions on Automatic Control, 2020, 65(9): 3895-902.
  • CHEN Q M, YANG X D, ARENZ C, et al. Combining the synergistic control capabilities of modeling and experiments: Illustration of finding a minimum-time quantum objective [J]. Physical Review A, 2020, 101(3).
  • WU R B, CAO X, XIE P C, et al. End-To-End Quantum Machine Learning Implemented with Controlled Quantum Dynamics [J]. Physical Review Applied, 2020, 14(6).
  • YANG X D, ARENZ C, PELCZER I, et al. Assessing three closed-loop learning algorithms by searching for high-quality quantum control pulses [J]. Physical Review A, 2020, 102(6).

2019年

  • FENG L, ZHOU C Q, ZHAO Q C. A spectral method to find communities in bipartite networks [J]. Physica a-Statistical Mechanics and Its Applications, 2019, 513: 424-37.
  • YANG Y Q, XIA L, ZHAO Q C. An Automated Grader for Chinese Essay Combining Shallow and Deep Semantic Attributes [J]. Ieee Access, 2019, 7: 176306-16.
  • CHEN J, GUO Y Q, QIU Z F, et al. Multiagent Dynamic Task Assignment Based on Forest Fire Point Model [J]. Ieee Transactions on Automation Science and Engineering.
  • YANG Y, JIA Q S, GUAN X H, et al. Decentralized EV-Based Charging Optimization With Building Integrated Wind Energy [J]. Ieee Transactions on Automation Science and Engineering, 2019, 16(3): 1002-17.
  • HAN D, MO Y L, XIE L H. Convex Optimization Based State Estimation Against Sparse Integrity Attacks [J]. Ieee Transactions on Automatic Control, 2019, 64(6): 2383-95.
  • DING H J, WU R B. Robust quantum control against clock noises in multiqubit systems [J]. Physical Review A, 2019, 100(2).
  • WU R B, DING H J, DONG D Y, et al. Learning robust and high-precision quantum controls [J]. Physical Review A, 2019, 99(4).
  • WU R B, SUN Q Y, HO T S, et al. Inherently trap-free convex landscapes for fully quantum optimal control [J]. Journal of Mathematical Chemistry, 2019, 57(9): 2154-67.

2018年

  • Chen Hou, Qianchuan Zhao. Optimization of Web Service-Based Control System for Balance Between Network Traffic and Delay[J]. IEEE Transactions on Automation Science and Engineering.
  • Cangqi Zhou, Liang Feng, Qianchuan Zhao. A novel community detection method in bipartite networks[J]. Physic A.
  • Qianchuan Zhao, Li Xia, Ziyan Jiang. Project Report: new generation intelligent building platform techniques[J]. Energy Informatics.
  • Qun Shi, Wen Yang, Zhenming Yang, Qianchuan Zhao. Relief Materials Vehicles Planning in Natural Disasters[J]. IEEE/CAA Journal of Automatica Sinica.
  • Chaobo Yan,Qianchuan Zhao. Analytical Approach to Estimate Efficiency of Series Machines in Production Lines[J]. IEEE Transactions on Automation Science and Engineering.
  • Xingwen Liu,Shouming Zhong, Qianchuan Zhao. Dynamics of delayed switched nonlinear systems with applications to cascade systems[J]. Automatica.
  • Xingwen Liu, Qianchuan Zhao, Shouming Zhong. Stability analysis of a class of switched nonlinear systems with delays: A trajectory-based comparison method[J]. Automatica.
  • 杨文,张邦双,叶欣,赵千川. 基于能量平衡的配电网传感器故障检测方法探究[J]. 电力系统自动化.
  • 石群,杨镇铭,赵千川. 考虑替换和搭配的救灾物资配车问题[J]. 清华大学学报.
  • Qing-shan Jia, Junjie Wu, Zijian Wu, Xiaohong Guan. Event-Based HVAC Control-A Complexity-Based Approach[J]. IEEE Transactions on Automation Science and Engineering.
  • Qing-shan Jia, Junjie Wu. On Distributed Event-Based Optimization for Shared Economy in Cyber-Physical Energy Systems Science.[J] China Information Sciences.

2017年

  • Qilong Huang, QingShan Jia, Xiaohong Guan. A Multi-Timescale and Bilevel Coordination Approach for Matching Uncertain Wind Supply With EV Charging Demand[J]. IEEE Transactions on Automation Science and Engineering.
  • Chen Hou, Qianchuan Zhao. Stopping-Time Management of Smart Sensing Nodes Based on Tradeoffs Between Accuracy and Power Consumption[J]. IEEE Transactions on Very Large Scale Integration (VLSI) Systems.
  • Qilong Huang, QingShan Jia, Xiaohong Guan. A Multi-Timescale and Bilevel Coordination Approach for Matching Uncertain Wind Supply With EV Charging Demand[J]. IEEE Transactions on Automation Science and Engineering.
  • Cangqi Zhou, Qianchuan Zhao, Wenbo Lu. Cumulative Dynamics of Independent Information Spreading Behaviour: A Physical Perspective[J]. Scientific Reports.
  • Rui Cong, Qianchuan Zhao, Kun Li, Long Wang. Individual mobility promotes punishment in evolutionary public goods games[J]. Scientific Reports.
  • Jianhong Zou, Qianchuan Zhao, Wen Yang, Fulin Wang. Occupancy detection in the office by analyzing surveillance videos and its application to building energy conservation[J]. Energy and Buildings.
  • Qianchuan Zhao. Research opportunities arising fom control and optimization of smart buildings[J]. Control Theory and Technology.
  • 杨文,赵千川.基于能量平衡的暖通空调系统故障检测方法[J]. 清华大学学报.

2016年

  • Wu Z, Jia Q S, Guan X. Optimal Control of Multiroom HVAC System: An Event-Based Approach[J]. IEEE Transactions on Control Systems Technology, 2016, 24(2): 662-669.
  • Xu X, Jia Q S, Xu Z, et al. On Joint Control of Heating, Ventilation, and air Conditioning and Natural Ventilation in a Meeting Room for Energy Saving[J]. Asian Journal of Control, 2016.
  • Zhao Q, Shen Y, Li M. Control and Bidding Strategy for Virtual Power Plants With Renewable Generation and Inelastic Demand in Electricity Markets[J]. IEEE Transactions on Sustainable Energy, 2016, 7(2): 562-575.
  • Shen Y, Zhao Q, Li M. Renewable-load matching dispatch for isolated power systems with intermittent renewable sources[J]. International Journal of Simulation and Process Modelling, 2016, 11(3-4): 270-280.
  • Hou C, Zhao Q. A New Optimal Algorithm for Energy Saving in Embedded System With Multiple Sleep Modes[J]. IEEE Transactions on Very Large Scale Integration (VLSI) Systems, 2016, 24(2): 706-719.
  • Cheng Z, Zhao Q, Wang F, et al. Satisfaction based Q-learning for integrated lighting and blind control[J]. Energy and Buildings, 2016, 127: 43-55.
  • Xia L. Optimization of Markov decision processes under the variance criterion[J]. Automatica, 2016, 73: 269-278.

2015年

  • Jia Q S, Wang H, Lei Y, et al. A Decentralized Stay-Time Based Occupant Distribution Estimation Method for Buildings[J]. IEEE Transactions on Automation Science and Engineering, 2015, 12(4): 1482-1491.
  • Huang Q, Jia Q S, Qiu Z, et al. Matching EV charging load with uncertain wind: A simulation-based policy improvement approach[J]. IEEE Transactions on Smart Grid, 2015, 6(3): 1425-1433.
  • Xia L, Jia Q S. Parameterized Markov decision process and its application to service rate control[J]. Automatica, 2015, 54: 29-35.</a>
  • Huang Q, Jia Q S, Guan X. A Review of EV Load Scheduling with Wind Power Integration[J]. IFAC-PapersOnLine, 2015, 48(28): 223-228.
  • Xia L, Shihada B. A Jackson network model and threshold policy for joint optimization of energy and delay in multi-hop wireless networks[J]. European Journal of Operational Research, 2015, 242(3): 778-787.

2014年

  • Zhanbo Xu, Qing-Shan Jia, Xiaohong Guan, “Supply demand coordination for building energy saving: Explore the soft comfort,” IEEE Transactions on Automation Science and Engineering, accepted. Doi: 10.1109/TASE.2014.2306964.
  • Heng-Tao Wang, Qing-Shan Jia, Chen Song, Ruixi Yuan, Xiaohong Guan, “Building occupant level estimation based on heterogeneous information fusion,” Information Sciences, accepted. http://dx.doi.org/10.1016/j.ins.2014.02.080
  • Zhao Y, Zhang H, Arens E A, et al. Thermal sensation and comfort models for non-uniform and transient environments, part IV: Adaptive neutral setpoints and smoothed whole-body sensation model[J]. Building and Environment, 2014, 72: 300-308.
  • Zhao Q, Zhao Y, Wang F, et al. A data-driven method to describe the personalized dynamic thermal comfort in ordinary office environment: From model to application[J]. Building and Environment, 2014, 72: 309-318.
  • Zhao Q, Zhao Y, Wang F, et al. Preliminary study of learning individual thermal complaint behavior using one-class classifier for indoor environment control[J]. Building and Environment, 2014, 72: 201-211.
  • Wang J, Zhao Q, Li H. A multi-agent based evaluation framework and its applications[J]. IEEE/CAA Journal of Automatica Sinica, 2014, 1(2): 218-224.
  • Sun B, Luh P B, Jia Q S, et al. Building energy doctors: An SPC and Kalman filter-based method for system-level fault detection in HVAC systems[J]. IEEE Transactions on Automation Science and Engineering, 2014, 11(1): 215-229.
  • Xia L, Jia Q S, Cao X R. A tutorial on event-based optimization—a new optimization framework[J]. Discrete event dynamic systems, 2014, 24(2): 103-132.

2013年

  • Jia, Q.-S., “Efficient computing budget allocation for simulation-based optimization with stochastic simulation time,” IEEE Transactions on Automatic Control, Vol. 58, No. 2, pp. 539-544, Feb. 2013.
  • Li Xia and Basem Shihada, “Max-Min optimality of service rate control in closed queueing networks,” IEEE Transactions on Automatic Control, Vol. 58, pp. 1051-1056, 2013.
  • Li Xia, Qing-Shan Jia, and Xi-Ren Cao, “A tutorial on event-based optimization -- A new optimization framework,” Discrete Event Dynamic Systems: Theory and Applications, 30 pages, DOI 10.1007/s10626-013-0170-6, 2013.
  • Li Xia, “Event-based optimization of admission control in open queueing networks,” Discrete Event Dynamic Systems: Theory and Applications, 19 pages, DOI 10.1007/s10626-013-0167-1, 2013.
  • Li Xia, “Policy gradient approach of event-based optimization and its online implementation,” Asian Journal of Control, 10 pages, to appear, 2013.
  • Li Xia and Basem Shihada, “Power and delay optimization in multi-hop wireless networks,” International Journal of Control, DOI:10.1080/00207179.2013.873953, 2013.
  • Yan CB, Zhao QC, “A Unified Effective Method for Aggregating Multi-machine Stages in Production Systems,” IEEE Transactions on Automatic Control, 58(7):1674-1687, 2013
  • Liu H, Zhao QC, Huang NJ and Zhao X, “A Simulation Based Tool for Energy Efficient Building Design for a Class of Manufacturing Plants,” IEEE Transactions on Automation Sciences and Engineering, 10(1):117-123, 2013.
  • Wang HT, Zhao QC, Guan XH, Jia QS, Li Li, “Reconfiguring Networked Infrastructures by Adding Wireless Communication Capabilities to Selected Nodes,” IEEE Transactions on Wireless Communications, 12(9):4158-4528, 2013.
  • Adriaenssens S, Liu H, Wahed M, Zhao QC, “Evaluation and Optimization of a Traditional North-Light Roof on Industrial Plant Energy Consumption”, Energies, 6:1944-1960, 2013.
  • Liu DX, Guan XH, Du YT, Zhao QC, “Measuring indoor occupancy in intelligent buildings using the fusion of vision sensors,” Measurement Science and Technology, 24(074023):1-13, 2013.
  • Yin Zhao, Hui Zhang, Edward Arens and Qianchuan Zhao, Thermal sensation and comfort models for non-uniform and transient environments, part IV: adaptive neutral setpoints and smoothed whole-body sensation model. Building and Environment, 2014,72:300-308.
  • Qianchuan Zhao, Yin Zhao, FulinWang, JinlongWang, Yi Jiang and Fan Zhang, A data-driven method to describe the personalized dynamic thermal comfort in ordinary office environment: from model to application. Building and Environment, 2014,72:309-318.
  • Qianchuan Zhao, Yin Zhao, Fulin Wang, Yi Jiang, Yi Jiang and Fan Zhang, Preliminary study of learning individual thermal complaint behavior using oneclass classifier for indoor environment control. Building and environment, 2014, 72: 200-211.
  • Zhe Liu, Fangting Song, Ziyan Jiang, Xi Chen, Xiaohong Guan. Optimization based integrated control of building HVAC system. Building Simulation.
  • 李强, 秦涛, 管晓宏, 等. 对称性的起因:非业务性网络流量新特性的挖掘与探索. 西安交通大学学报, 2013(08):19-25.
  • 涂国煜, 陆宝森, 赵千川,联合更换策略的机会性Lagrangian松弛方法,自动化学报,39(3):259-267,2013

2012年

  • Li Q, Qin T, Guan X, et al. Empirical Analysis and Comparison of IPv4-IPv6 Traffic: A Case Study on the Campus Network: Proceedings of 18th IEEE International Conference on Networks (ICON'12), Singapore, 2012.
  • Li M, Luh PB, Michel LD, Zhao QC, Luo XC, “Corrective Line Switching With Security Constraints for the Base and Contingency Cases”, IEEE Transactions on Power Systems, 27(1):125-133, 2012
  • Mao Z, Wang FL, Gao T, Dai YC, Zhao QC, Zhao Y, Sun B, Guo J, Zhang F, “Research of the Room Occupant Complaining Behavior Pattern for the Indoor Environmental Control,” Advanced Materials Research (Volumes 374 - 377), 1064, 2012.
  • Zhao QC, Shen Y, “Topology control of power systems with uncertainties,” Journal of University of Science and Technology of China, 42(5):365-371, 2012
  • Jia, Q.-S., “Efficient computing budget allocation for simulation-based optimization with stochastic simulation time,” IEEE Transactions on Automatic Control, to appear.
  • Jia, Q.-S., “Efficient computing budget allocation for simulation-based policy improvement,” IEEE Transactions on Automation Science and Engineering, Vol. 9, No. 2, pp. 342-352, Apr. 2012.
  • Li Xia and Basem Shihada, “Max-Min optimality of service rate control in closed queueing networks,” IEEE Transactions on Automatic Control, 2012, to appear.
  • Li Xia and Xi-Ren Cao, “Performance optimization of queueing systems with perturbation realization,”European Journal of Operational Research, Vol. 218, pp. 293-304, 2012.

2011年

  • Li X, Zhao QC, Guan XH, Tong L, “Optimal Cognitive Access of Markovian Channels under Tight Collision Constraints,” IEEE Journal on Selected Areas in Communications, 29(4):746-756, 2011.
  • Jia, Q.-S., “An adaptive sampling algorithm for simulation-based optimization with descriptive complexity preference,” IEEE Transactions on Automation Science and Engineering, Vol. 8, No. 4, pp. 720-731, Oct. 2011.
  • Jia, Q.-S., “On solving optimal policies for finite-stage event-based optimization,” IEEE Transactions on Automatic Control, Vol. 56, No. 9, pp. 2195-2200, Sept. 2011.
  • Jia, Q.-S., “On state aggregation to approximate complex value functions in large-scale Markov decision processes,” IEEE Transactions on Automatic Control, Vol. 56, No. 2, pp. 333-344, 2011.
  • Jia, Q.-S., “A structural property of optimal policies for multi-component maintenance problems,” IEEE Transactions on Automation Science and Engineering, Vol. 7, No. 3, pp. 677-680, 2010.
  • Song C, Guan XH, Zhao QC, and Jia QS, “Remanufacturing planning based on constrained ordinal optimization”, Frontiers of Electrical and Electronic Engineering in China, 6(3):443-452, 2011.
  • Chen Xi, Wang Xingshi, An enhanced probabilistic scheme for data transmission in large-scale sensor networks, Frontiers of EEE in China, vol. 6(3).
  • 李杰,陈曦,无线传感器网络随机调度算法研究,计算机应用,2011年03期

2010年

  • Yan CB, Zhao QC, Huang NJ, Xiao GX, Li JS, “Formulation and a Simulation Based Algorithm for Line-side Buffer Assignment Problem in Systems of General Assembly Line with Material Handling,” IEEE Transactions on Automation Science and Engineering, 7(4):902-920, 2010
  • Zhao YJ, Yan CB, Zhao QC, Huang NJ, Li JS, Guan XH, “Efficient Simulation Method for General Assembly Systems with Material Handlings Based on Aggregated Event-Scheduling,” IEEE Transactions on Automation Science and Engineering, 7(4):762-775, 2010
  • Shen Z, Zhao QC and Jia QS, “Quantifying Heuristics in the Ordinal Optimization Framework,” J.DEDS, 20:441?471, 2010
  • Yan H, Zhang B, Li S, Zhao QC, “A formal model for analyzing drug combination effects and its application in TNF-?-induced NF?B pathway,” BMC Systems Biology, 4:50, 2010.
  • Sun J, Zhao QC and Luh PB, “Optimization of Group Elevator Scheduling with Advance Information”, IEEE Transactions on Automation Science and Engineering, 7(2):352-363, 2010
  • Zhao QC, Li X and Zheng DZ, “OBDD-Based Load Shedding Algorithm for Power Systems,” Invited paper in Power Systems Handbook, Vol. 1, 235-253, 2010, Springer.
  • Jia, Q.-S., “A structural property of optimal policies for multi-component maintenance problems,” IEEE Transactions on Automation Science and Engineering, Vol. 7, No. 3, pp. 677-680, 2010.
  • Y J Zhao, X Chen, Q S Jia, X H Guan, S H Zhang, Y Z Jiang. Long-Term Scheduling for Cascaded Hydro Energy Systems With Annual Water Consumption and Release Constraints. IEEE Transactions on Automation Science and Engineering, Vol. 7, No. 4, pp. 969-976, 2010
  • Li Xia, Wenjun Yin, Jin Dong, Teresa Wu , Ming Xie, Yanjia Zhao, “A hybrid nested partitions algorithm for banking facility location problems,” IEEE Transactions on Automation Science and Engineering, Vol.7, No.3, pp. 654-658, 2010.
  • 王星石,戚亦平,陈曦,宋臣. 基于无线传感器网络的智能建筑中目标分布问题研究. 计算机应用,2010年01期
  • 黄永皓, 陈曦. 机会式频谱接入优化问题的研究. 控制与决策, 2010,25(6):857-861.

2009年

2008年

2007年

2006年

2005年

2004年

2003年

2002年

2001年

 

会议论文

2020年

  • HAIDER S N, ZHAO Q C, MERAN B K. Automated data cleaning for data centers: A case study; proceedings of the 39th Chinese Control Conference (CCC), Shenyang, PEOPLES R CHINA, F Jul 27-29, 2020 [C]. 2020.
  • HU X Y, XIA L, YANG J, et al. A Fast-Convergence Method of Monte Carlo Counterfactual Regret Minimization for Imperfect Information Dynamic Games; proceedings of the 9th IEEE Data Driven Control and Learning Systems Conference (DDCLS), Liuzhou, PEOPLES R CHINA, F Nov 20-22, 2020 [C]. 2020.
  • LI C H, MA X T, XIA L, et al. Fairness Control of Traffic Light via Deep Reinforcement Learning; proceedings of the 16th IEEE International Conference on Automation Science and Engineering (CASE), Electr Network, F Aug 20-21, 2020 [C]. 2020.
  • YAN X, XIA L, YANG J, et al. Opponent Modeling in Poker Games; proceedings of the 9th IEEE Data Driven Control and Learning Systems Conference (DDCLS), Liuzhou, PEOPLES R CHINA, F Nov 20-22, 2020 [C]. 2020.
  • YAO J, ZHANG Z Y, XIA L, et al. Solving Imperfect Information Poker Games Using Monte Carlo Search and POMDP Models; proceedings of the 9th IEEE Data Driven Control and Learning Systems Conference (DDCLS), Liuzhou, PEOPLES R CHINA, F Nov 20-22, 2020 [C]. 2020.
  • ZHONG D Y, ZHAO Q C, ZHANG Z Y, et al. An online algorithm for local address assignment supporting P2P distributed computing; proceedings of the Chinese Automation Congress (CAC), Shanghai, PEOPLES R CHINA, F Nov 06-08, 2020 [C]. 2020.
  • Li Z, Chen X. Multi-objective Particle Swarm Optimization based on Self-adaptive Target Region[C]//2020 7th International Conference on Control, Decision and Information Technologies (CoDIT). IEEE, 2020, 1: 53-58.
  • JIA Q S, LONG T. A Review on Charging Behavior of Electric Vehicles: Data, Model, and Control*; proceedings of the 3rd IFAC Workshop pn Cyber-Physical and Human Systems (CPHS), Beijing, PEOPLES R CHINA, F Dec 03-05, 2020 [C]. 2020.
  • JIN X Z, JIA Q S, REN D C, et al. Motion Planning at Intersections with Event-driven Recurrent Q-Learning; proceedings of the 21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, Electr Network, F Jul 11-17, 2020 [C]. 2020.
  • JIN X Z, LI K, JIA Q S, et al. A Game-Theoretic Reinforcement Learning Approach for Adaptive Interaction at Intersections; proceedings of the Chinese Automation Congress (CAC), Shanghai, PEOPLES R CHINA, F Nov 06-08, 2020 [C]. 2020.
  • LENNARTSON B, JIA Q S. Reinforcement Learning with Temporal Logic Constraints; proceedings of the 15th IFAC Workshop on Discrete Event Systems (WODES), Electr Network, F Nov 11-13, 2020 [C]. 2020.
  • LONG T, JIA Q S. Optimization of large-scale commercial electric vehicles fleet charging location schedule under the distributed wind power supply; proceedings of the 44th Annual IEEE-Computer-Society International Conference on Computers, Software, and Applications (COMPSAC), Electr Network, F Jul 13-17, 2020 [C]. 2020.
  • TANG J X, DU J H, LIN Y T, et al. Predictive Maintenance of VRLA Batteries in UPS towards Reliable Data Centers; proceedings of the 21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, Electr Network, F Jul 11-17, 2020 [C]. 2020.
  • WU J J, JIA Q S. Performance Loss Bound for State Aggregation in a Class of Supply Demand Matching Systems; proceedings of the 39th Chinese Control Conference (CCC), Shenyang, PEOPLES R CHINA, F Jul 27-29, 2020 [C]. 2020.
  • WU J J, LI K, JIA Q S, et al. Decentralized Multi-agent Reinforcement Learning with Multi-time Scale of Decision Epochs; proceedings of the 59th IEEE Conference on Decision and Control (CDC), Electr Network, F Dec 14-18, 2020 [C]. 2020.
  • ZHANG G B, CHEN C H, JIA Q S, et al. Dynamic Sampling Allocation for Selecting a Good Enough Alternative; proceedings of the 16th IEEE International Conference on Automation Science and Engineering (CASE), Electr Network, F Aug 20-21, 2020 [C]. 2020.
  • DU Y B, YOU K Y, MO Y L, et al. Asynchronous Stochastic Gradient Descent over Decentralized Datasets; proceedings of the 16th IEEE International Conference on Control and Automation (ICCA), Electr Network, F Oct 09-11, 2020 [C]. 2020.
  • YAN J Q, MO Y L, LI X X, et al. A "Safe Kernel" Approach for Resilient Multi-Dimensional Consensus; proceedings of the 21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, Electr Network, F Jul 11-17, 2020 [C]. 2020.
  • LI W L, ZHANG G F, WU R B. The Dynamical Model of Flying-Qubit Control Systems; proceedings of the 21st IFAC World Congress on Automatic Control - Meeting Societal Challenges, Electr Network, F Jul 11-17, 2020 [C]. 2020.

2019年

  • FENG L, ZHAO Q C, ZHOU C Q. An Efficient Method to Find Communities in K-partite Networks; proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Vancouver, CANADA, F Aug 27-30, 2019 [C]. 2019.
  • HAIDER S N, ZHAO Q C, YANG W, et al. New paradigm for battery life management in data centers; proceedings of the 38th Chinese Control Conference (CCC), Guangzhou, PEOPLES R CHINA, F Jul 27-30, 2019 [C]. 2019.
  • SUN K L, ZHAO Q C, YANG Z M, et al. Visual Feedback System for Traditional Chinese Medical Massage Robot; proceedings of the 38th Chinese Control Conference (CCC), Guangzhou, PEOPLES R CHINA, F Jul 27-30, 2019 [C]. 2019.
  • WEN Y, YAO P S, ZHAO Q C, et al. Industry Trusted Network Communication Based on Quantum Encryption; proceedings of the 38th Chinese Control Conference (CCC), Guangzhou, PEOPLES R CHINA, F Jul 27-30, 2019 [C]. 2019.
  • YANG Z M, WANG X T, LI C H, et al. A Multi-Stage Dispatching and Scheduling Algorithm for Individualized Public Transportation System; proceedings of the 15th IEEE International Conference on Automation Science and Engineering (IEEE CASE), Vancouver, CANADA, F Aug 22-26, 2019 [C]. 2019.
  • BIAN A, CHEN X. A Decentralized Continuous Estimation of Distribution Algorithm for Networked Systems[C]//2019 Chinese Control Conference (CCC). IEEE, 2019: 5362-5367.
  • JIA Q S, LIU Z L, ZHANG C, et al. A Distributed Occupancy Distribution Estimation Method For Smart Buildings; proceedings of the IEEE 15th International Conference on Control and Automation (ICCA), Edinburgh, SCOTLAND, F Jul 16-19, 2019 [C]. 2019.
  • LIU Z L, JIA Q S, IEEE. An Indoor Occupant Distribution Estimation Method Based on Improved Stay-Time Algorithm; proceedings of the 38th Chinese Control Conference (CCC), Guangzhou, PEOPLES R CHINA, F Jul 27-30, 2019 [C]. 2019.
  • LONG T, MA X T, JIA Q S, et al. Bi-level Proximal Policy Optimization for Stochastic Coordination of EV Charging Load with Uncertain Wind Power; proceedings of the 3rd IEEE Conference on Control Technology and Applications (IEEE CCTA), City Univ Hong Kong, Hong Kong, HONG KONG, F Aug 19-21, 2019 [C]. 2019.
  • TANG J X, JIA Q S. A Simulation Platform for Sensing System Selection for Occupant Distribution Estimation in Smart Buildings; proceedings of the 15th IEEE International Conference on Automation Science and Engineering (IEEE CASE), Vancouver, CANADA, F Aug 22-26, 2019 [C]. 2019.
  • GRIFFIOEN P, WEERAKKODY S, OZEL O, et al. A Tutorial on Detecting Security Attacks on Cyber-Physical Systems; proceedings of the 18th European Control Conference (ECC), Naples, ITALY, F Jun 25-28, 2019 [C]. 2019.
  • LI Z S, MO Y L, HAO F, et al. Game Theoretical Approach to Sequential Hypothesis Test with Byzantine Sensors; proceedings of the 58th IEEE Conference on Decision and Control (CDC), Nice, FRANCE, F Dec 11-13, 2019 [C]. 2019.
  • LIU Q P, MO Y L, MO X Y, et al. Secure Pose Estimation for Autonomous Vehicles under Cyber Attacks; proceedings of the 30th IEEE Intelligent Vehicles Symposium (IV), Paris, FRANCE, F Jun 09-12, 2019 [C]. 2019.
  • XU L, MO X Y, MO Y L, et al. Secure State Estimation for Linear Time-varying Processes via Local Estimators; proceedings of the 38th Chinese Control Conference (CCC), Guangzhou, PEOPLES R CHINA, F Jul 27-30, 2019 [C]. 2019.
  • XU L, MO Y L, XIE L H, et al. Remote State Estimation with Stochastic Event-triggered Sensor Schedule in the Presence of Packet Drops; proceedings of the American Control Conference (ACC), Philadelphia, PA, F Jul 10-12, 2019 [C]. 2019.
  • DING H J, CHU B, WU R B. Collaborative Learning of High-Precision Quantum Control and Tomography; proceedings of the 13th International-Federation-of-Automatic-Control (IFAC) Workshop on Adaptive and Learning Control Systems (ALCOS), Winchester, ENGLAND, F Dec 04-06, 2019 [C]. 2019.

2018年

  • Junjie Wu, Qing-shan Jia A. Q-learning method for scheduling shared EVs under uncertain user demand and wind power supply 2018 IEEE Conference on Control Technology and Applications (CCTA).
  • Junjie Wu, Qing-shan Jia, Zhanbo Xu On distributed optimization for supply demand coordination in cyber physical energy systems 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE).
  • Junjie Wu, Qing-shan Jia On state aggregation in a class of cyber physical energy systems 2018 37th Chinese Control Conference (CCC)
  • Xiaoteng Ma, Li Xia, Qianchuan Zhao. Air-Combat Strategy Using Deep Q-Learning. 2018 Chinese Automation Congress (CAC 2018).
  • Zhuang L, Chen X, Guan X. Regression Model of Wet-Bulb Temperature in an HVAC System[C]//International Conference on Smart City and Intelligent Building. Springer, Singapore, 2018: 197-205.
  • Han G, Chen X, Zhao Q. Decentralized Differential Evolutionary Algorithm for Large-Scale Networked Systems[C]//International Conference on Smart City and Intelligent Building. Springer, Singapore, 2018: 407-417.
  • </ul>

    2017年

    • Junjie Wu, Qing-shan Jia An ordinal optimization based method for selecting events 2017 Chinese Automation Congress (CAC).

    2016年

    • Zhang C, Jia Q S. A review of occupant behavior models in residential building: Sensing, modeling, and prediction[C]//Control and Decision Conference (CCDC), 2016 Chinese. IEEE, 2016: 2032-2037.
    • Yang Y, Jia Q S, Guan X. Improving the prediction accuracy of building energy consumption using location of occupant —— A case study[C]//2016 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2016: 1550-1555.
    • Huang Q, Jia Q S, Guan X. Coordinating EV charging demand with wind supply in a bi-level energy dispatch framework[C]//American Control Conference (ACC), 2016. American Automatic Control Council (AACC), 2016: 6233-6238.
    • Xia L. Optimization of parametric policies of Markov decision processes under a variance criterion[C]//Discrete Event Systems (WODES), 2016 13th International Workshop on. IEEE, 2016: 332-337.
    • Zhou F, Xia L, Dong W, et al. Fault diagnosis of high-speed railway turnout based on support vector machine[C]//2016 IEEE International Conference on Industrial Technology (ICIT). IEEE, 2016: 1539-1544.

    2015年

    • Huang Q, Jia Q S, Guan X. EV charging load scheduling with high wind power penetration: A robust shortest path approach[C]//2015 American Control Conference (ACC). IEEE, 2015: 2765-2770.
    • Wu Z, Jia Q S, Guan X. Local and global event-based optimization: Performace and complexity[C]//2015 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2015: 1375-1380.
    • Huang Q, Jia Q S, Guan X. Multi-timescale optimization between distributed wind generators and electric vehicles in microgrid[C]//2015 IEEE International Conference on Automation Science and Engineering (CASE). IEEE, 2015: 671-676.

    2014年

    • Zhao Q, Cheng Z, Wang F, et al. Experimental study of group thermal comfort model[C]//2014 IEEE international conference on automation science and engineering (CASE). IEEE, 2014: 1075-1078.
    • Yang W, Zhao Q. Cyber security issues of critical components for industrial control system[C]//Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese. IEEE, 2014: 2698-2703.

    2013年

    • Li Xia and Qing-Shan Jia, “Game theoretical control of service rates in closed Jackson networks,” Proceedings of the 25th Chinese Control and Decision Conference (CCDC’2013), May 25-27, 2013, Guiyang, China, pp. 4559-4564.
    • Li Xia and Basem Shihada, “Decentralized control of transmission rates in energy-critical wireless networks,” Proceedings of the 2013 American Control Conference (ACC’2013), June 17-19, 2013, Washington, DC., USA, pp. 113-118.
    • Li Xia and Qing-Shan Jia, “Policy iteration for parameterized Markov decision processes and its application,” Proceedings of the 9th Asian Control Conference (ASCC’2013), June 23-26, 2013, Istanbul, Turkey.
    • Zhijin Cheng, Li Xia, Qianchuan Zhao, Yin Zhao, Fulin Wang, and Fangting Song, “Integrated control of blind and lights in daily office environment,” Proceedings of the 9th annual IEEE International Conference on Automation Science and Engineering (CASE’2013), August 17-21, 2013, Madison, Wisconsin, USA, pp. 599-604.
    • Fenfang Zhou, Li Xia, Qianchuan Zhao, and Ming Jiang, “Statistical analysis of the random failure model of high-speed railway equipments,” Proceedings of the 11th IEEE International Conference on Networking, Sensing and Control (ICNSC’2014), April 7-9, 2014, Miami, FL, USA.
    • Li Q, Qin T, Guan X, et al. An In-depth Measurement and Analysis of Popular Private Tracker Systems in China: Proceedings of IEEE International Conference on Communications (ICC'13), Budapest, Hungary, 2013.
    • Yin Zhao, Qianchuan Zhao, Fulin Wang, Yi Jiang and Fan Zhang, Modeling Individual Complaint Behavior in Daily Office Environment Using a Novel One- Class, Multi-linear Classifier, 2013 10th IEEE International conference on Control and Automation (ICCA2013), Hangzhou, China, June 12-14,2013: 1850- 1855.
    • Yin Zhao, Qianchuan Zhao, System identification for output-dependent bounded noises and its application in learning personalized thermal comfort model, 2013 IEEE International Conference on Robotics and Automation (ICRA), Karlsruhe, Germany, May 6-10, 2013: 283-288.
    • Yin Zhao, Qianchuan Zhao, Li Xia, et al, A Unified Control Framework of HVAC System for Thermal and Acoustic Comforts in Office Building, 2013 IEEE International Conference on Automation Science and Engineer (CASE), Madison, Wisconsin,USA,August 17 - 21, 2013: 422-427.
    • Zhe Liu, Xi Chen, Ziyan Jiang, Lifeng Qiao, and Xiaohong Guan. Asynchronous Latency Analysis on Decentralized Iterative Algorithms for Large Scale Networked Systems. The 32nd Chinese Control Conference (CCC 2013).
    • Zhe Liu, Xi Chen, Xingtian Xu, and Xiaohong Guan. A Decentralized Optimization Method for Energy Saving of HVAC Systems. The 9th IEEE International Conference on Automation Science and Engineering (IEEE CASE 2013).

    2012年

    • C. Nie and X. Chen. “Robust Percentage Coverage Mechanisms in Wireless Sensor Networks,” 12th International Symposium on Communications and Information Technologies (ISCIT 2012), Gold Coast, Australia, pp. 2012.
    • Y. Huang and X. Chen. “A Sensitivity-Based Construction Approach to Sample-Path Variance Minimization of Markov Decision Processes,” 2012 Australia Control Conference, Sydney, Australia. pp. 15-16, 2012.
    • Jia, Q.-S., “Event-Based Optimization with Lagged State Information,” the 31st Chinese Control Conference, July 25-27, 2012, Hefei, China.

    2011年

    • Zhao Y, Zhao QC, Wang FL, Jiang Y and Zhang F, “On-line adaptive personalized dynamic thermal comfort (PDTC) model using recursive least square estimation”, 2011 International Conference on Intelligent Building and Management (ICIBM 2011), pp.275-279, 2011.
    • Huang Yonghao, Chen Xi, A Direct-Comparison Approach for Portfolio Optimization, SIAM Conference on Control & Its Application, July 2011, Baltimo, Maryland, USA.
    • Jia, Q.-S., “On computing budget allocation for finding the simplest good enough design,” the 18th IFAC World Congress, Milan, Italy, Aug. 28-Sept. 2, 2011.
    • Jia, Q.-S., “Efficient computing budget allocation for simulation-based policy improvement,” Asian Control Conference 2011, Kaohsiung, Taiwan, China, May 15-18, 2011.

    2010年

    • Y P Qi, X Chen. Stochastic optimization of hydro-thermal system with annual water consumption constraints. Proceedings of the 6th annual IEEE Conference on Automation Science and Engineering. Toronto, Ontario, Canada, August 21-24, 2010
    • Y J Zhao, X Chen, Q S Jia, X H Guan, H Wang. Dynamic Water Resources Planning with Locational Release and Annual Consumption Constraints. 49th IEEE Conference on Decision and Control,Dec.15-17, 2010 , Atlanta, USA
    • Li, J., Chen, X., Jia, Q.-S., and Guan, X., “Prediction-based activation in wsn tracking” the 6th International Conference on Mobile Ad-hoc and Sensor Networks (MSN’10), Hangzhou, China, Dec. 20-22, 2010. 97-102.
    • Jia, Q.-S., “A rollout method for finite-stage event-based decision processes,” the 10th International Workshop on Discrete Event Systems, Berlin, Germany, Aug. 30-Sept. 1, 2010. 257-262.
    • Jia, Q.-S., “On solving optimal policies for event-based dynamic programming,” the 29th Chinese Control Conference, Beijing, China, Jul. 29-31, 2010. 1511-1516.

    2009年

    2008年

    2007年

    2006年

    2005年

    2004年

    2003年

    • Zhao Q C, Zheng D Z, Structural Properties of Min-Max Functions, Technique Report, Tsinghua University, 2003
    • Zhao Q C, Zheng D Z, On Deciding the Size of Eigenspace of Min-Max Functions, Technique Report, Tsinghua University, 2003.

    2002年