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职务:副教授
Email:zxb@tsinghua.edu.cn
办公室:东配楼11-313
副教授、博士生导师,科技部“十二五”863先进制造领域重大项目“核心软件”总体专家组成员,清华大学信息系统安全教育部重点实验室副主任,清华大学-中车四方所智能装备工业物联网联合研究中心副主任,中国自动化学会高级会员,中国自动化学会智能制造专委会委员。长期从事企业信息化、工业网络安全、智能制造等理论与实践工作,并在中国中车等轨道交通相关企业开展了大量应用研究。近年来,作为负责人和主要成员主持参与了省部级以上项目等20 余项,其中国家级项目(863、973和自然科学基金)19项,省部级科研项目7项,全国博士后基金项目1项。在国内外重要期刊上发表学术论文70余篇,其中SCI/EI收录60余篇,合作专著1部,申报发明专利30余项,其中已获授权5 项。

 

 

教育背景

2001/09–2004/01, 江苏大学, 机械电子工程学院, 博士
1997/09–2000/03, 江苏大学, 计算机科学与技术, 硕士
1990/09–1994/07, 江苏大学, 计算机科学与技术, 学士

工作履历

2005/07-2007/06 清华大学软件学院,博士后
2007/07-2013/11 清华大学软件学院,助理研究员
2011/03-2011/09 香港科技大学计算机科学与工程系,访问学者
2013/12-至今       清华大学软件学院,副教授

学术兼职

科技部“十二五”863先进制造领域重大项目“核心软件”总体专家组成员
中国自动化学会高级会员
中国自动化学会智能制造专委会委员
清华大学信息系统安全教育部重点实验室 副主任
清华大学-中车四方所智能装备工业物联网联合研究中心 副主任
PC member, IEEE Real-Time and Embedded Technology and Applications Symposium, 2018 (CCF A类).
PC member, International Conference on Multimedia and Expo, 2018 (CCF B类).
PC member, International Conference on Multimedia and Expo, 2019 (CCF B类)
PC member, IJCAI, 2019 (CCF A类)

研究领域

信息系统安全、工业网络、企业信息化、人工智能、智能制造、知识自动化

讲授课程:
信息系统安全
网络与信息安全技术

 

研究概况

1. 国家自然科学基金委广东省联合基金,离散制造过程人工智能驱动的优化与控制,U1801263, 266万元,子课题负责人
2. 轨道交通装备基础软件和保障工具研发,国家科技重大专项(核心电子器件、高端通用芯片及基础软件产品)子课题,课题号为2016ZX01038101-002(课题负责人)
3. 国家自然科学基金委广东省联合基金,工业过程数据实时获取与知识自动化,U1701262, 280万元,参加
4. 智能制造业物联网的数据感知、传输与海量数据处理,广东省联合基金,项目号为U1201251(副组长)
5. 离散制造系统MES共性技术和标准规范研究,国家863计划重点项目,项目号为2012AA040906 (课题负责人)
6. 清华-波音联合项目(Reliability Investigation of Hybird Wireless Mesh Network for Airport Surface Communications)(课题骨干)
7. 国产基础软件安全测试技术研究, 核高基重大专项,项目号为 2010ZX01045-002-3(课题骨干)
8. 面向移动社会网络的多尺度交叉感知计算理论与关键技术, 国家自然科学基金重点项目,项目号为61133016(副组长)
9. 面向领域的MANET服务访问可靠性研究,国家自然科学基金,项目号为61073168(负责人)
10. 国家发改委信息系统安全示范工程“中国民族证券信息系统安全示范工程”(副组长)
11. 产品设计流程可信保障机理研究,国家973计划项目“现代设计大型应用软件的可信性研究”子项课题,课题号为2010CB328000;(课题骨干)
12. 面向集团企业的可重构信息集成平台研发及应用,国家863计划目标导向项目,课题号为2009AA04Z153(课题骨干)
13. 面向离散制造的可配置MES产品及行业解决方案,国家863计划重点项目,课题号为2007AA040701-1(负责人)
14. 面向成套电气大型企业集团的数字化综合集成系统开发与应用示范,江苏省科技攻关项目,课题号为BE2007071
15. 面向轨道交通行业的设计数字化集成技术开发与应用示范, 江苏省科技攻关项目,课题号为BE2007003
16. 中国博士后基金(第40批,二等资助基金);
17. 基于操作语义的隐通道分析理论的研究,国家自然科学基金,项目号为60573046(副组长);
18. 网格计算中多用户协同计算的安全机制,国家自然科学基金,项目号为90412007;
19. 受干扰系统辨识、控制及在复杂热力系统应用的研究,国家自然科学基金,项目号为60474026;
20. 面向电子商务的客户关系管理开发工具,国家863计划,课题号为2001AA414220;
21. 基于XML的电子商务平台,国家863计划,课题号为2001AA414020;
22. 新一代ERP软件研究开发与应用,国家863计划软件重大专项,课题号为2003AA4Z3210;
23. 面向中小制造企业信息化的集成系统开发与应用,国家863计划,课题号为2003AA414030;
24. 网格计算中的复杂授权机制研究,国家863计划子项课题,课题号为2003AA148020(副组长);
25. 分布式企业信息系统中的复杂授权机制研究,国家863计划子项课题,课题号为2003AA414031(负责人);
26. 制造企业ERP的需求建模及转换工具研发,国家863计划子项课题,课题号为2003AA414031(副组长);
27. CRM应用模型研究 (江苏省教育厅重点科技基金项目);
28. 离散制造企业信息集成系统研究开发及其在开关电气行业应用,国家863计划重大专项,课题号为2003AA411020(副组长)。
29. 华东电力设备制造厂ERP系统(江苏省中小企业信息化示范工程)
30. 稳润电子有限公司ERP系统(江苏省中小企业信息化示范工程)
31. 解放军总后勤部野战跟踪指挥系统
32. 面向成套电气集团企业的数字化综合集成开发与应用(江苏省科技攻关项目)
33. 面向网络化制造的数字化企业示范(江苏省科技招标项目)

学术成果

【学术论文】
[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 Transactions on Industrial Electronics, 2019, 66(2), 1345-1355.
[4]    Ningchen Wang, Qinghan Yu, Hai Wan, Xiaoyu Song, Xibin Zhao; Adaptive Scheduling for Multi-cluster Time-Triggered Train Communication Networks. IEEE Transactions on Industrial Informatics, 2019, 15(2), 1120-1130.
[5]    Jianwen Jiang, Di Bao, Ziqiang Chen, Xibin Zhao, Yue Gao; MLVCNN: Multi-Loop-View Convolutional Neural Network for 3D Shape Retrieval. Association for the Advancement of Artificial Intelligence, 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 Artificial 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 Neural Networks and Learning Systems, 2018, 29(8):3701-3714.
[10]  Zizhao Zhang, Haojie Lin, Xibin Zhao, Rongrong Ji, Yue Gao; Inductive Multi-Hypergraph Learning and Its Application on View-Based 3D Object Classification. IEEE Transactions on Image Processing, 2018, 27(12): 5957-5968.
[11]  Heyuan Shi, Yubo Zhang, Zizhao Zhang, Nan Ma, Xibin Zhao, Yue Gao, Jiaguang Sun; Hypergraph-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 Automatic Train Driving by Learning Driving Patterns. Association for the Advancement of Artificial Intelligence, 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 Classification. International Joint Conference on Artificial Intelligence, 2018.
[17]  Yifan Feng, Zizhao Zhang, Xibin Zhao, Rongrong Ji, Yue Gao; GVCNN: Group-View Convolutional 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 Representation, 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 Intelligence, 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 Services. Information, 2013, Vol. 16, No.9, pp. 6579-6588.
[24]  Xibin Zhao, William N. N. Hung, Yafei Yang, Xiaoyu Song; Optimizing Communication in Mobile 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 Heuristic-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 Electronics 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 Information Sciences, 2012: 345-356.
[29]  Xibin Zhao, Jun-Bo Wang, Min Feng, and Jin-Yuan Wang; Energy-Efficient Scheduling over Fading 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 Electronics, 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 Outage Probability Analysis in Uplink Multi-Hop Cellular Systems over Composite Channels. EURASIP 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 Reliability, 2011, Vol. 61, Issue 1, pp. 192-202.
[36]  Wei Gong, Kebin Liu, Yunhao Liu, Xibin Zhao, Ming Gu; Directional Diagnosis in Wireless Sensor Networks. International Conference on Distributed Computing in Sensor Systems and Workshops, 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 Management, 2010, pp. 428-433.
[38]  Wei Dong, Xibin Zhao, Min Xi; Page Size Optimization for Code Dissemination in Wireless Sensor 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 Closure, 11th European Symposium on Research in Computer Security, 18-20 September 2006, Hamburg, 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 Mechanisms 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 Security Applications, Lecture Notes in Computer Science, 2004, Vol. 2908, Springer, Berlin, pp. 42-54.
【著作】
[1]    张映锋,赵曦滨,孙树栋,《面向物联制造的主动感知与动态调度方法》,科学出版社,2015.
【发明专利】
[1]    黄晋,赵曦滨,陈昕玥,陈欣洁,杜方宇,一种双层多目标优化铁路机车操纵序列生成方法,中国,201410119280.8,授权
[2]    黄晋,赵曦滨,杜方宇,陈欣洁,陈昕玥,一种基于双层模式曲线的机车优化操纵序列计算方法,中国,201410209160.7,授权
[3]    高跃、黄晋、刘炎、赵曦滨、李增坤,一种面向列车自动驾驶的列车精准停车方法 ,中国,CN107399333B,授权
[4]    顾明,赵曦滨,黄晋,臧大昕,刘光涛,一种铁路机车运行动态仿真测试装置及其仿真方法,中国,201410117046.1. 授权
[5]    杨英,黄晋,于明东,赵曦滨,刘莹,杨磊,柯学,张立明,任育琦,一种铁路列车智能操纵优化控制系统,中国,201410764622,授权
[6]    顾明、卢莎、黄晋、夏雅楠、杨英、赵曦滨、孙家广,一种基于实际运行数据的机车牵引计算模型校准方法,中国,201710025882.0,公开
[7]    卢莎、黄晋、高跃、夏雅楠、杨英、赵曦滨、顾明,一种基于高阶相关学习的机车节能优化自动驾驶方法,中国,201710038010.8,公开
[8]    赵曦滨、夏雅楠、黄晋、卢莎、任育琦、顾明、孙家广,一种基于深度强化学习的机车智能操纵方法与系统,中国,201710045758.0,公开
[9]    赵曦滨、黄思光、黄晋、杨帆、顾明、孙家广,一种基于强化学习的自适应实时系统混合任务调度方法,中国,201710025977.2,公开
[10]  黄晋、黄思光、杨帆、赵曦滨、顾明、孙家广,一种铁路机车运行操纵系统的混合任务调度方法及模型,中国,201710025822.9,公开
[11]  顾明、杨帆、黄晋、黄思光、任育琦、赵曦滨、杨英,一种基于模糊规则的机车智能操纵优化计算方法,中国,201710025820.X,公开
[12]  黄晋、杨帆、黄思光、赵曦滨、顾明,一种机车智能操纵优化计算方法,中国,201611190513.9,公开
[13]  黄晋、李增坤、赵曦滨、刘炎、顾明、孙家广,一种冗余计算机系统任务补偿调度方法,中国,201710038009.5,公开
[14]  杨英、刘炎、黄晋、赵曦滨、李增坤、顾明、孙家广,一种轨道机车节能操纵实时优化控制策略库构建方法,中国,201710039058.0,公开
[15]  赵曦滨、黄思光、黄晋、夏雅楠、顾明、孙家广,一种用于实现机车节能操纵的双向LSTM模型的训练方法,中国,201710039035.X,公开
[16]  黄晋、夏雅楠、卢莎、赵曦滨,一种基于动态时序图的不确定性机车仿真模型系统构建方法,中国,201710451803.2 ,公开
[17]  黄晋、刘炎、赵曦滨、杨帆,一种基于特征选择和机器学习的轨道机车节能优化操纵解决方法,中国,201710605526.6,公开
[18]  黄晋、杨帆、赵曦滨、刘炎,一种基于FURIA的机车智能操纵优化规则归纳方法,中国,201710146249.7,公开
[19]  黄晋、黄思光、赵曦滨、高跃、杨帆,一种基于云平台的多级列车调度指挥系统,中国,201710374995.1,公开
[20]  赵曦滨、黄晋、李增坤、高跃、刘炎,一种ATO系统行程方案的评价方法及系统,中国,201710450602.0,公开
[21]  赵曦滨、黄晋、刘炎、高跃、李增坤,一种面向列车自动驾驶模式学习的列车运行记录数据处理方法,中国,201710378150.X,公开
[22]  黄晋、黄思光、赵曦滨、高跃、夏雅楠,一种基于深度强化学习的列车运行调度方法及系统,中国,201710467955.1,公开
[23]  黄晋、卢莎、赵曦滨、高跃、夏雅楠,一种基于强化PID的机车自动驾驶优化控制方法,中国,201710990975.7,公开
[24]  黄晋、夏雅楠、赵曦滨、高跃、卢莎,一种机车运行时序特征学习方法,中国,201710738298.X,公开
[25]  黄晋、杨帆、赵曦滨、高跃、黄思光,一种铁路机车自动驾驶系统,中国,201711174283.1,公开
[26]  黄晋、卢莎、赵曦滨、高跃、杨帆,一种机车自动驾驶控制预测模型机器学习方法,中国,201710378150.X,公开
[27]  黄晋、杨帆、赵曦滨、高跃、卢莎,一种列车ATO超速安全防范方法,中国,201711174257.9,公开
[28]  高跃、黄晋、李增坤、赵曦滨、刘炎,一种机车ATO系统展示装置,中国,201710933882.0,公开
[29]  赵曦滨、夏雅楠、黄晋、黄思光,一种基于卷积神经网络的机车智能操纵方法,中国,201810192684.8,公开
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