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个人简介

教育背景 2001/09–2004/12, 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 “十四五”国家重点研发计划“社会治理与智慧社会科技支撑”专家 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 中国城市轨道交通协会装备认证技术委员会委员 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-中央国债登记结算有限责任公司金融信息科技创新联合研究院 院长 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, The AAAI Conference on Artificial Intelligence (AAAI'2022)(CCF A类) PC member, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2022)(CCF A类) PC member, The AAAI Conference on Artificial Intelligence (AAAI'2021)(CCF A类) PC member, International Joint Conference on Artificial Intelligence (IJCAI'2020)(CCF A类) PC member, The AAAI Conference on Artificial Intelligence (AAAI'2020)(CCF A类) PC member, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'2020)(CCF A类) PC member, International Joint Conference on Artificial Intelligence (IJCAI'2019)(CCF A类) PC member, IEEE International Conference on Multimedia and Expo (ICME'2019) (CCF B类) PC member, IEEE International Conference on Multimedia and Expo (ICME'2018) (CCF B类) PC member, IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS'2018)(CCF B类) 奖励与荣誉 赵曦滨(4/15); 复杂过程信息物理融合系统关键技术与应用,广东省科学技术厅,广东省科学技术进步奖,一等奖,2022 赵曦滨(3/11); 异构物联网安全融合关键技术及产业化应用,江苏省科学技术厅,江苏省科学技术进步奖,二等奖,2019

研究领域

主要从事网络安全异常检测与攻击溯源研究,关注于构建一套覆盖数据感知、处理、分析全生命流程的网络安全防御体系。在异常检测领域,关注于实体行为特征建模、分布外数据分析与基于深度学习的新型攻击检测算法研究。在攻击溯源领域,通过多层级日志统一建模方式构建多主机、全系统溯源图,进一步研究其压缩、表示与建模方法,形成一套针对不同数据源、不同系统的溯源图采集与管理算法,通过攻击入口点分析、链路还原等技术有效重构攻击者的完整攻击链路。研究领域涉及信息系统安全、工业网络及控制、企业信息化、人工智能、智能制造及知识自动化

近期论文

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Ruihua Wang, Yihao Peng, Yilun Sun, Xuancheng Zhang, HaiWan, Xibin Zhao*. TeSec: Accurate Server-Side Attack Investigation for Web Applications. IEEE Security and Privacy (IEEE S&P) 2023 Nan Wang, Yubo Zhang, Xibin Zhao*, Yingli Zheng, Hao Fan, Boya Zhou, Yue Gao. Search-Based Cost-Sensitive Hypergraph Learning for Anomaly Detection, Information Science, 2022 Hai Wan, Xinwei Zhang, Yubo Zhang, Xibin Zhao*, Shihui Ying, Yue Gao*, Structure Evolution on Manifold for Graph Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Xinwei Zhang, Jianwen Jiang, Yutong Feng, Zhi-fan Wu, Xibin Zhao*, Hai Wan, Mingqian Tang, Rong Jin, and Yue Gao*, Grow and Merge: A Unified Framework for Continuous Categories Discovery, NIPS, 2022 Yubo Zhang, Shuyi Ji, Changqing Zou, Xibin Zhao, Shihui Ying, Yue Gao; Graph Learning on Millions of Data in Seconds: Label Propagation Acceleration on Graph using Data Distribution, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Yue Gao, Zizhao Zhang, Haojie Lin, Xibin Zhao, Shaoyi Du, Changqing Zou; Hypergraph Learning: Methods and Practices, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 5, pp. 2548–2566, 2022 Nan Wang, Ruozhou Liang, Xibin Zhao*, Yue Gao; Cost-Sensitive Hypergraph Learning with F-measure Optimization, IEEE Transactions on Cybernetics,2021 梁若舟,赵曦滨*,万海; 针对工业控制拓扑的确定性局部多点故障检测方法, 通信学报 卷:42,期:10,页:10-22, 2021 Jian Sun, Hongyu Jia, Bo Hu, Xiao Huang, Hao Zhang, Hai Wan, Xibin Zhao, Speeding up Very Fast Decision Tree with Low Computational Cost, International Joint Conference on Artificial Intelligence - Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI), 2020 Qinhan Yu, Hai Wan, Xibin Zhao, Yue Gao, Ming Gu;Online Scheduling for Dynamic VM Migration in Multicast TimeSensitive Networks. IEEE Transactions on Industrial Informatics, 2019. Taisong Jin, Rongrong Ji, Yue Gao, Xiaoshuai Sun, Xibin Zhao*, and Dacheng Tao;Correntropy Induced Robust Low-Rank Hypergrap. IEEE Transactions on Image Processing, 2019. Zonghui Li, Hai Wan, Zaiyu Pang, Qiubo Chen, Yangdong Deng, Xibin Zhao*, Yue Gao, Xiaoyu Song, Ming Gu;An Enhanced Reconfiguration for Deterministic Transmission in Time-Triggered Networks. IEEE/ACM Transactions on Network, 2019, 27(3): 1124-1137. Junjie Zhu, Yuxuan Wei, Yifan Feng, Xibin Zhao*, Yue Gao;Physiological Signals-based Emotion Recognition via High-order Correlation Learning. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM), 2019, 15(3s), 95. Jingzhi Shao, Junjie Zhu, Yuxuan Wei, Yifan Feng, Xibin Zhao*; Emotion Recognition by Edge-Weighted Hypergraph Neural Network. IEEE International Conference on Image Processing, 2019, pp. 2144-2148. Junjie Zhu, Xibin Zhao, Han Hu, Yue Gao;Emotion Recognition from Physiological Signals using Multi-Hypergraph Neural Networks. IEEE International Conference on Multimedia and Expo (ICME), 2019, pp. 610-615. Zonghui Li, Hai Wan, Yangdong Deng, Xibin Zhao*, Yue Gao, Ming Gu;Model-Based Adaptation of Mixed-Criticality Systems for Extreme Physical Environments. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2019. Guohua Xi, Xibin Zhao, Yan Liu, Jin Huang*, and Yangdong Deng;A Hierarchical Ensemble Learning Framework for Energy-Efficient Automatic Train Driving. Tsinghua Science and Technology 24, 2019, no. 2: 226-237. Xiulong Liu, Jiannong Cao, Yanni Yang, Wenyu Qu, Xibin Zhao, Keqiu Li, Didi Yao;Fast RFID Sensory Data Collection: Trade-off Between Computation and Communication Costs. IEEE/ACM Trans. Netw. 2019, 27(3): 1179-1191. Shan Ren, Xibin Zhao, Binbin Huang, Zhe Wang, Xiaoyu Song;A framework for shopfloor material delivery based on real-time manufacturing big data. Journal of Ambient Intell. Humaniz. Comput, 2019,10(3): 1093-1108. Ningchen Wang, Qinghan Yu, Hai Wan, Xiaoyu Song, Xibin Zhao* ;Adaptive Scheduling for Multicluster Time-Triggered Train Communication Networks. IEEE Trans. Industrial Informatics ,2019,15(2): 1120-1130. 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. 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, 66(12): 9682-9691. 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. 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. 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, 8513-8520. 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, 8279-8286. 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, 8505-8512. 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, 9119-9126. 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. 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. 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. 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. Zizhao Zhang, Yubo Zhang, Xibin Zhao, and Yue Gao; EMD Metric Learning. Association for the Advancement of Artificial Intelligence, 2018, 4490-4497. 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, 2265-2272. 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, 4522-4529. Nan Wang, Xibin Zhao*, Yu Jiang, Yue Gao; Iterative Metric Learning for Imbalance Data Classification. International Joint Conference on Artificial Intelligence, 2018, 2805-2811. 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. 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. 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. 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. 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. 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. Zhen Cheng, Dechen Zhan, Xibin Zhao, Hai Wan, Xiaoyu Song; Multitask Oriented Virtual Resource Integration and Optimal Scheduling in Cloud Manufacturing. Journal of Applied Mathematics, 2014. Xibin Zhao, Zhiyang You, Zhifeng Zhao; Probabilistic Trust Modeling for MANET Security Services. Information, 2013, Vol. 16, No.9, pp. 6579-6588. 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. Xibin Zhao, You Zhiyang, Hai Wan; A Novel Two-Terminal Reliability Analysis for MANET. Journal of Applied Mathematics, 2013, Vol. 2013. 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. 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. 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. 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. 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. Xibin Zhao; A Genetic Algorithm for Segmented Channel Routing. International Journal of Electronics, 2012, Vol. 100, Issue 12, pp. 1630-1636. 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. Kebin Liu, Qiang Ma, Xibin Zhao, Yunhao Liu; Self-Diagnosis for Large Scale Wireless Sensor Networks. International Conference on Computer Communications, 2011. 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. 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. 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. 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. 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. 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. 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. 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. 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 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.

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