Introduction:

Name:Xibin Zhao
Position:Associate Professor
Email: zxb@tsinghua.edu.cn
Office: RM 11-313, East main building, Tsinghua University


Education background:

Ph.D., Mechanical and Electrical Engineering, Jiangsu University, 2004
M.S., Computer Science, Jiangsu University, 2000
B.S., Computer Science, Jiangsu University, 1994


Experience:

2013-Present, School of Software, Tsinghua University, Associate Professor
2011-2011, Computer Science, Hong Kong University of Science and Technology, Visiting Scholar
2007-2013, School of Software, Tsinghua University, Assistant Professor
2005-2007, School of Software, Tsinghua University, Postdoc


Social service:

Program committee for conferences:
    International Joint Conference on Artificial Intelligence 2019
    IEEE Conference on Multimedia Expo 2019
    IEEE Conference on Multimedia Expo 2018
    IEEE Real-Time and Embedded Technology and Applications Symposium 2018
Member, The Ministry of Science and Technology's "12th Five-Year Plan" 863 Advanced Manufacturing Field Major Project "Core Software" Experts Group
Deputy director, Key Laboratory of Information System Security, Ministry of Education
Director, Tsinghua University-China Central Depository & Clearing Co., Ltd. Joint Institute for Financial In-formation Technology Innovation
Deputy director, Tsinghua University - CRRC Sifang Institute of Intelligent Equipment Industrial Internet of o Things Joint Research Center
Senior member, China Automation Society
Member, China Automation Society Intelligent Manufacturing Committee


Areas of Research Interests/ Research Projects:

Information system security, industrial network, enterprise informatization, artificial intelligence, intelli-gent manufacturing, knowledge automation


Research Status:

PROJECTS
2019-2022,PI,1M CNY(~0.14M USD)
Project Title: Data space construction method and technology of rail transit equipment manufacturing enterprises supporting personalized business chain
Source: National Key R&D Program of China, Chinese Ministry of Science and Technology

2016-2019, PI, 6.58M CNY (~0.97M USD)
Project Title: Research and Development of Basic Software and Support Tools for Rail Transit Equip-ment
Source: National Key R&D Program of China, Chinese Ministry of Science and Technology

2016-2019, PI, 10.00M CNY (~1.48M USD)
Project Title: Tsinghua-CRRC Sifang Intelligent Equipment Industrial Internet of Things Joint Research Center Project
Source: CRRC Qingdao Sifang Rolling Stock Research Institute Co., Ltd.

2019-2022, Co-PI, 2.66M CNY (~0.39M USD)
Project Title: Optimization and Control of Discrete Manufacturing Process Driven by Artificial Intelli-gence
Source: National Natural Science Foundation of China (NSFC) Joint Key Program

2013-2016, Co-PI, 2.70M CNY (~0.40M USD)
Project Title: Intelligent Manufacturing IoT Data Sensing Transmission and Mass Data Processing
Source: National Natural Science Foundation of China (NSFC) Joint Key Program

2018-2021, Main participant, 2.84M CNY (~0.41M USD)
Project Title: Data Gathering and Knowledge Automation for Industry Applications
Source: National Natural Science Foundation of China (NSFC) Joint Key Program

2015-2018, Main participant, 3.45M CNY (~0.51 M USD)
Project Title: Research on Guaranteeing the Real-Time Capability, Determinacy and Safety of the Train Control&Service Network (TCSN)
Source: National Technology Support Plan, Chinese Ministry of Science and Technology

2012-2013,PI,1.7M CNY(~0.24M USD)
Project Title: Research on common technology and standard of MES in discrete manufacturing system
Source: National 863 Program of china,Chinese  Ministry of science and technology

2010-2012,Main participant,0.7M CNY(~0.098M USD)
Project Title: Research on security testing technology of domestic basic software
Source: Major science and technology projects of china, Chinese Ministry of industry and information technology

2012-2016,Main participant,1M CNY(~0.14M USD)
Project Title: Theory and key technologies of multi-scale cross sensing computing for mobile social net-works
Source: National Natural Science Foundation of China (NSFC)

2011-2013,PI,0.3 M CNY(~0.042 M USD)
Project Title: Research on domain oriented access reliability of MANET service
Source: National Natural Science Foundation of China (NSFC)

2012-2014, Co-PI,3.8 M CNY(~0.54 M USD)
Project Title: Research on the credibility of modern design large-scale application software
Source: National 973 Program of china,Chinese  Ministry of science and technology

2007-2010,PI,1.71 M CNY(~0.24 M USD)
Project Title: Configurable MES products and industry solutions for discrete manufacturing
Source: National 863 Program of china,Chinese  Ministry of science and technology


Honors And Awards:

Key technologies and industrial application of security integration of heterogeneous Internet of things, Second award, Science and Technology Progress Award of Jiangsu Province, Jiangsu Provincial De-partment of Science and Technology,2019


Academic Achievement:

Book

[1]     Yingfeng Zhang, Xibin Zhao, Shudong Sun, Active Sensing and Dynamic Scheduling for IoT (in Chinese), Science Press, ISBN: 7030447387, 9787030447388, 2015.


Selected Papers
[1]     Zonghui Li, Hai Wan, Yangdong Deng, Xibin Zhao, Yue Gao, Xiaoyu Song, Ming Gu; Time-triggered Switch-Memory-Switch Architecture for Time-Sensitive Networking Switches. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2019.
[2]     Nan Wang, Zizhao Zhang, Xibin Zhao, Quan Miao, Rongrong Ji, Yue Gao; Exploring High-Order Correlations for Industry Anomaly Detection. IEEE Transactions on Industrial Electronics, 2019.
[3]     Lifan Su, Hai Wan, Yufang Qin, Xibin Zhao, Yue Gao, Xiaoyu Song, Chenyang Lu, Ming Gu; Synthesizing Fault-tolerant Schedule for Time-triggered Network without Hot-backup. IEEE Trans-actions on Industrial Electronics, 2019, 66(2), 1345-1355.
[4]     Ningchen Wang, Qinghan Yu, Hai Wan, Xiaoyu Song, Xibin Zhao; Adaptive Scheduling for Mul-ti-cluster Time-Triggered Train Communication Networks. IEEE Transactions on Industrial Infor-matics, 2019, 15(2), 1120-1130.
[5]     Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao; MLVCNN: Multi-Loop-View Convo-lutional Neural Network for 3D Shape Retrieval. Association for the Advancement of Artificial In-telligence, 2019.
[6]     Yutong Feng, Yifan Feng, Haoxuan You, Xibin Zhao, Yue Gao; MeshNet: Mesh Neural Network for 3D Shape Representation. Association for the Advancement of Artificial Intelligence, 2019.
[7]     Zhengyue Huang, Zhehui Zhao, Hengguang Zhou, Xibin Zhao, Yue Gao; DeepCCFV: Camera Constraint-Free Multi-View Convolutional Neural Network for 3D Object Retrieval. Association for the Advancement of Artificial Intelligence, 2019.
[8]     Haoxuan You, Yifan Feng, Xibin Zhao, Changqing Zou, Rongrong Ji, Yue Gao; PVRNet: Point-View Relation Neural Network for 3D Shape Recognition. Association for the Advancement of Ar-tificial Intelligence, 2019.
[9]     Xibin Zhao, Nan Wang, Yubo Zhang, Shaoyi Du, Yue Gao, Jiaguang Sun; Beyond, Pairwise Matching: Person Reidentification via High-Order Relevance Learning. IEEE Transactions on Neu-ral Networks and Learning Systems, 2018, 29(8):3701-3714.
[10]   Zizhao Zhang, Haojie Lin, Xibin Zhao, Rongrong Ji, Yue Gao; Inductive Multi-Hypergraph Learn-ing and Its Application on View-Based 3D Object Classification. IEEE Transactions on Image Pro-cessing, 2018, 27(12): 5957-5968.
[11]   Heyuan Shi, Yubo Zhang, Zizhao Zhang, Nan Ma, Xibin Zhao, Yue Gao, Jiaguang Sun; Hyper-graph-Induced Convolutional Networks for Visual Classification. IEEE Transactions on Neural Networks and Learning Systems, 2018.
[12]   Xiulong Liu, Xin Xie, Xibin Zhao, Kun Wang, Keqiu Li, Alex X. Liu, Song Guo, Jie Wu; Fast Identification of Blocked RFID Tags. IEEE Transactions on Mobile Computing, 2018, 17(9), 2041-2054.
[13]   Zizhao Zhang, Yubo Zhang, Xibin Zhao, and Yue Gao; EMD Metric Learning. Association for the Advancement of Artificial Intelligence, 2018.
[14]   Jin Huang, Yue Gao, Sha Lu&, Xibin Zhao, Yangdong Deng, Ming Gu; Energy-Efficient Automat-ic Train Driving by Learning Driving Patterns. Association for the Advancement of Artificial Intel-ligence, 2018.
[15]   Xibin Zhao, Nan Wang, Heyuan Shi, Hai Wan, Jin Huang, Yue Gao; Hypergraph Learning with Cost Interval Optimization. Association for the Advancement of Artificial Intelligence, 2018.
[16]   Nan Wang, Xibin Zhao, Yu Jiang, Yue Gao; Iterative Metric Learning for Imbalance Data Classifi-cation. International Joint Conference on Artificial Intelligence, 2018.
[17]   Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao; GVCNN: Group-View Convolu-tional Neural Networks for 3D Shape Recognition. Computer Vision and Pattern Recognition, 2018.
[18]   Zizhao Zhang, Haojie Lin, Junjie Zhu, Xibin Zhao, Yue Gao; Cross-Diffusion on Multi-Hypergraph for Multi-Modal 3D Object Recognition. Pacific-Rim Conference on Multimedia, 2018.
[19]   Yue Gao, Hanwang Zhang, Xibin Zhao, and Shuicheng Yan; Event Classification in Microblogs via Social Tracking. ACM Transactions on Intelligent Systems and Technology, 2017, Vol. 8, no. 3, article 35.
[20]   Ronglu Yang, Lifan Su, Xibin Zhao, Hai Wan, and Jiaguang Sun; Representative Band Selection for Hyperspectral Image Classification. Journal of Visual Communication and Image Representa-tion, 2017, Vol. 48, pp. 396-403.
[21]   Lifan Su, Yue Gao, Xibin Zhao, Hai Wan, Ming Gu, Jiaguang Sun; Vertex-Weighted Hypergraph Learning for Multi-View 3D Object Classification. International Joint Conference on Artificial Intel-ligence, 2017.
[22]   Xibin Zhao, Shubin Si, Hongyan Dui, Zhiqiang Cai, Junbo Wang, Xiaoyu Song; Compositional Performance Evaluation with Importance Measures. Communication in Statistics- Theory and Methods, 2015, pp. 5240-5253.
[23]   Xibin Zhao, Zhiyang You, Zhifeng Zhao; Probabilistic Trust Modeling for MANET Security Ser-vices. Information, 2013, Vol. 16, No.9, pp. 6579-6588.
[24]   Xibin Zhao, William N. N. Hung, Yafei Yang, Xiaoyu Song; Optimizing Communication in Mo-bile Ad Hoc Network Clustering. Computers in Industry, 2013, Vol. 64, Issue 7, pp. 849-853.
[25]   Xibin Zhao, You Zhiyang, Hai Wan; A Novel Two-Terminal Reliability Analysis for MANET. Journal of Applied Mathematics, 2013, Vol. 2013.
[26]   Xibin Zhao, Hehua Zhang, Yu Jiang, Songzheng Song, Xun Jiao, Ming Gu; An Effective Heuris-tic-Based Approach for Partitioning. Journal of Applied Mathematics, 2013, Vol. 2013.
[27]   Xibin Zhao, Shubin Si, Hongyan Dui, Zhiqiang Cai, and Shudong Sun; Integrated Importance Measure for Multi-State Coherent Systems of k Level. Journal of Systems Engineering and Elec-tronics 24, 2013, no. 6: 1029-1037.
[28]   Xibin Zhao, Anping He, Jinzhao Wu, Guowu Yang, Yi Yang, Ning Zhou, Shihan Yang, and Lian Li; A Mathematical Characterization of System Design and Modeling. Applied Mathematics and In-formation Sciences, 2012: 345-356.
[29]   Xibin Zhao, Jun-Bo Wang, Min Feng, and Jin-Yuan Wang; Energy-Efficient Scheduling over Fad-ing Channels with Transmission Modulation and Deadline Constraints. AEU-International Journal of Electronics and Communications, 2012, no. 6: 491-494.
[30]   Xibin Zhao, Ming Gu; A Novel Energy-Aware Multi-Task Dynamic Mapping Heuristic of NoC-based MPSoCs. International Journal of Electronics, 2012, Vol. 100, Issue 5, pp. 603-615.
[31]   Xibin Zhao; A Genetic Algorithm for Segmented Channel Routing. International Journal of Elec-tronics, 2012, Vol. 100, Issue 12, pp. 1630-1636.
[32]   Xibin Zhao, Jun-Bo Wang, Jin-Yuan Wang, Ming Chen, Min Feng, and Ming Sheng; System Out-age Probability Analysis in Uplink Multi-Hop Cellular Systems over Composite Channels. EURA-SIP Journal on wireless communications and networking, 2011, no. 1: 35.
[33]   Kebin Liu, Qiang Ma, Xibin Zhao, Yunhao Liu; Self-Diagnosis for Large Scale Wireless Sensor Networks. International Conference on Computer Communications, 2011.
[34]   Zhiyang You, Xibin Zhao, Hai Wan, William N. N. Hung, Yuke Wang, Ming Gu; A Novel Fault Diagnosis Mechanism for Wireless Sensor Networks. Mathematical and Computer Modelling, 2011, Vol. 54, no. 1-2, pp. 330-343.
[35]   Shubin Si, Hongyan Dui, Xibin Zhao, Shenggui Zhang, Shudong Sun; Integrated Importance Measure of Component States based on Loss of System Performance. IEEE Transactions on Relia-bility, 2011, Vol. 61, Issue 1, pp. 192-202.
[36]   Wei Gong, Kebin Liu, Yunhao Liu, Xibin Zhao, Ming Gu; Directional Diagnosis in Wireless Sen-sor Networks. International Conference on Distributed Computing in Sensor Systems and Work-shops, 2011, pp. 1-8.
[37]   Xibin Zhao, Zhiyang You, Zhifeng Zhao, Danning Chen, Feng Peng; Availability Based Trust Model of Clusters for MANET. 7th International Conference on Service Systems and Service Man-agement, 2010, pp. 428-433.
[38]   Wei Dong, Xibin Zhao, Min Xi; Page Size Optimization for Code Dissemination in Wireless Sen-sor Networks. 5th International Conference on Wireless Algorithms, Systems, and Applications, Lecture Notes in Computer Science, 2010, Vol. 6221, Springer, Berlin, pp. 136-145.
[39]   Xibin Zhao, Kwok-Yan Lam, Guiming Luo, Ming Gu and Jiaguang Sun.; Minimal Threshold Clo-sure, 11th European Symposium on Research in Computer Security, 18-20 September 2006, Ham-burg, Germany, Lecture Notes in Computer Science, 2006, Vol. 4189, Springer, Berlin, pp. 145-155.
[40]   Zhaofeng Ma, Xibin Zhao, Zhi Guo, Ming Gu, Jiaguang Sun; Secure Anonymous Communication with Conditional Traceability. IFIP International Conference on Network and Parallel Computing, NPC 2005, Lecture Notes in Computer Science, Vol. 3779.
[41]   Xibin Zhao, Kwok-Yan Lam, Siu Leung Chung, Ming Gu, Jiaguang Sun; Authorization Mecha-nisms for Virtual Organizations in Distributed Computing Systems. 9th Australian Conference on Information Security and Privacy, Lecture Notes in Computer Science, 2004, Vol. 3108, Springer, Berlin, pp. 414-426.
[42]   Xibin Zhao, Kwok-Yan Lam, Siu Leung Chung, Ming Gu, Jiaguang Sun; Enhancing Grid Security Infrastructure to Support Mobile Computing Nodes. 4th International Workshop on Information Se-curity Applications, Lecture Notes in Computer Science, 2004, Vol. 2908, Springer, Berlin, pp. 42-54.


Patents
[1].   A security situation awareness system based on industrial control network traffic,CN201910998682.2,October 21,2019
[2].   A method and system of deterministic fault detection and location in time sensitive networks,CN201910851512.1,September 10,2019
[3].   A method, device and system for scheduling table generation in time triggered network,CN201910851119.2,September 10,2019
[4].   Data scheduling method and device for switch,CN201811565979.1,December 20,2018
[5].   A real-time data transmission method and system,CN201811565563.X,December 20,2018
[6].   A safety precaution method of train ATO overspeed,CN201711174257.9,November 22,2017
[7].   A precise train stop method for automatic train operation,CN201710605650.2,July 24,2017
[8].   A method and device for redundant switching of WTB network card,CN201710479433.3,June 22,2017
[9].   A method and device for redundant switching of MVB network card,CN201710479446.0, June 22,2017
[10]. An evaluation method and system of ATO system travel scheme,CN 201710450602.0,June 15,2017
[11]. A WTB link layer interface adapter and its implementation,CN201710398260.2,May 31,2017
[12]. A data processing method of train operation record for train automatic driving mode learning,CN 201710378150.X,May 25,2017
[13]. A redundant switching device of UIC gateway and its control method,CN201710311430.9,May 05,2017
[14]. An engineering system health analysis system and method based on critical phase transition theory,CN201710300213.X,May 02,2017
[15]. A method and system of locomotive intelligent control based on deep reinforcement learning,CN201710045758.0,January 20,2017
[16]. A training method of bidirectional LSTM model for energy saving operation of locomotive,CN201710039035.X,January 18,2017
[17]. A method of energy-saving and optimal automatic driving of locomotive based on high-order corre-lation learning,CN 201710038010.8,January 18,2017
[18]. A hybrid task scheduling method of railway locomotive operation and control system based on Re-inforcement Learning,CN201710025977.2,January 13,2017
[19]. A calibration method of locomotive traction calculation model based on actual operation data,CN 201710025882.0,January 13,2017
[20]. A hybrid task scheduling method and model for railway locomotive operation and control system,CN 201710025822.9,January 13,2017
[21]. An optimization method of locomotive intelligent operation based on fuzzy rules,CN 201710025820.X,January 13,2017
[22]. An optimization calculation method of locomotive intelligent operation,CN201611190513.9,December 21,2016