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

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）

应用密码学

网络与信息安全技术

1.工业软件组件通用模型、理论及其应用方法研究，国家自然科学基金委广东省联合基金，项目号为U20A6003（子课题负责人）
2.工业场景多源异构数据异常自适应检测研究，国家自然科学基金委面上项目，项目号为62076146（项目负责人）
3.支撑个性化业务链的轨道交通装备制造企业数据空间构建方法与技术，国家重点研发计划，项目号为2018YFB1703404（子课题负责人）
4.集团企业工业互联网平台创新发展研究，中国工程院项目
5.离散制造过程人工智能驱动的优化与控制，国家自然科学基金委广东省联合基金，项目号为U1801263（子课题负责人）
6.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， 项目号为2016ZX01038101-002（课题负责人）
7.工业过程数据实时获取与知识自动化，国家自然科学基金委广东省联合基金，项目号为U1701262
8.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（子课题负责人）
9.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）
10.清华-波音联合项目（Reliability Investigation of Hybird Wireless Mesh Network for Airport Surface Communications）（课题骨干）
11.国产基础软件安全测试技术研究, 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，项目号为2010ZX01045-002-3（课题骨干）
12.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（子课题负责人）
13.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（项目负责人）
14.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）
15.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）
16.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）
17.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）
18.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
19.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
20.中国博士后基金（第40批，二等资助基金）
21.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
22.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
23.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
24.基于XML的电子商务平台，国家863计划，课题号为2001AA414020
25.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
26.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
27.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）
28.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）
29.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）
30.CRM应用模型研究 （江苏省教育厅重点科技基金项目）
31.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）
32.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）
33.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）
34.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）
35.面向网络化制造的数字化企业示范（江苏省科技招标项目）

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

[1]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
[2]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
[3]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
[4]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
[5]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
[6]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
[7]Nan Wang, Ruozhou Liang, Xibin Zhao*, Yue Gao; Cost-Sensitive Hypergraph Learning with F-measure Optimization, IEEE Transactions on Cybernetics,2021
[8]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
[9]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
[10]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.
[11]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.
[12]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.
[13]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.
[14]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.
[15]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.
[16]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.
[17]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.
[18]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.
[19]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.
[20]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.
[21]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.
[22]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.
[23]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.
[24]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.
[25]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.
[26]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.
[27]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.
[28]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.
[29]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.
[30]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.
[31]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.
[32]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.
[33]Zizhao Zhang, Yubo Zhang, Xibin Zhao, and Yue Gao; EMD Metric Learning. Association for the Advancement of Artificial Intelligence, 2018, 4490-4497.
[34]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.
[35]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.
[36]Nan Wang, Xibin Zhao*, Yu Jiang, Yue Gao; Iterative Metric Learning for Imbalance Data Classification. International Joint Conference on Artificial Intelligence, 2018, 2805-2811.
[37]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.
[38]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.
[39]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.
[40]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.
[41]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.
[42]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.
[43]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.
[44]Xibin Zhao, Zhiyang You, Zhifeng Zhao; Probabilistic Trust Modeling for MANET Security Services. Information, 2013, Vol. 16, No.9, pp. 6579-6588.
[45]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.
[46]Xibin Zhao, You Zhiyang, Hai Wan; A Novel Two-Terminal Reliability Analysis for MANET. Journal of Applied Mathematics, 2013, Vol. 2013.
[47]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.
[48]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.
[49]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.
[50]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.
[51]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.
[52]Xibin Zhao; A Genetic Algorithm for Segmented Channel Routing. International Journal of Electronics, 2012, Vol. 100, Issue 12, pp. 1630-1636.
[53]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.
[54]Kebin Liu, Qiang Ma, Xibin Zhao, Yunhao Liu; Self-Diagnosis for Large Scale Wireless Sensor Networks. International Conference on Computer Communications, 2011.
[55]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.
[56]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.
[57]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.
[58]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.
[59]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.
[60]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.
[61]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.
[62]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.
[63]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.

[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.

[1]赵曦滨;陆犇圆;高跃，一种工业网络流量异常检测定位的方法，发明专利，中国，ZL202010716056.2，31/08/2021

[2]赵曦滨;王楠;高跃，一种基于超图结构质量优化的网络异常检测方法，发明专利，中国，ZL202010384710.4，01/06/2021

[3]赵曦滨;崔浩;高跃，一种基于工控网络流量的安全态势感知系统，发明专利，中国，ZL201910998682.2，13/04/2021

[4]赵曦滨;高跃;万海，一种时间敏感网络中确定性故障检测与定位方法及系统，发明专利，中国，CN201910851512.1，10/09/2019

[5]赵曦滨;高跃;万海，一种时间触发网络中调度表生成的方法、装置及系统，发明专利，中国，ZL201910851512.1，06/11/2020

[6]赵曦滨;万海;李宗辉;孙剑，用于交换机的数据调度方法和装置，发明专利，中国，CN201811565979.1，20/12/2018

[7]赵曦滨;高跃;李宗辉，一种实时数据发送方法及系统，发明专利，中国，ZL201811565563.X，04/12/2020

[8]黄晋;杨帆;赵曦滨;高跃;卢莎，一种列车ATO超速安全防范方法，发明专利，中国，CN201711174257.9，22/11/2017

[9]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，发明专利，中国，CN201710605650.2，24/07/2017

[10]李星;万海;赵曦滨, 一种WTB网卡的线路冗余切换的方法及装置, 发明专利，中国，CN201710479433.3，22/06/2017

[11]王欢;万海;赵曦滨, 一种MVB网卡的线路冗余切换的方法及装置, 发明专利，中国，CN201710479446.0，22/06/2017

[12]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，发明专利，中国，CN 201710450602.0，15/06/2017

[13]王欢;万海;赵曦滨, 一种WTB链路层接口适配器及其实现方法, 发明专利，中国，CN201710398260.2，31/05/2017

[14]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，发明专利，中国，CN 201710378150.X，25/05/2017

[15]王欢;万海;赵曦滨，一种列车UIC网关冗余切换装置及其控制方法，发明专利，中国，CN201710311430.9，05/05/2017

[16]邓仰东;黄晋;卢莎;黄凡玲;赵曦滨，一种基于临界相变理论的工程系统健康分析系统和方法，发明专利，中国，CN201710300213.X，02/05/2017

[17]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，发明专利，中国，CN 201710045758.0，20/01/2017

[18]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，发明专利，中国，CN 201710039035.X，18/01/2017

[19]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，发明专利，中国，CN 201710038010.8，18/01/2017

[20]赵曦滨;黄思光;黄晋;杨帆;顾明;孙家广，一种基于强化学习的铁路机车运行操控系统混合任务调度方法，发明专利，中国，CN201710025977.2，13/01/2017

[21]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，发明专利，中国，CN 201710025882.0，13/01/2017

[22]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，发明专利，中国，CN 201710025822.9，13/01/2017

[23]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，发明专利，中国，CN 201710025820.X，13/01/2017

[24]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，发明专利，中国，CN 201611190513.9，21/12/2016