学术成果
【论文】
[1] Zhibin Ni, Chenghao Zhang, Hai Wan, and Xibin Zhao*, Factor-wise disentangled contrastive learning for cross-domain few-shot molecular property prediction, Frontiers of Computer Science, Vol. 19, No. 8, 2025.
[2] Zhibin Ni, Chang Liu, Hai Wan, Xibin Zhao*, Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck. AAAI. 2025.
[3] Zhibin Ni, Pan Fan, Shengzhuo Dai, Bo Zhang, Hai Wan, Xibin Zhao*, FG-CIBGC: A Unified Framework for Fine-Grained and Class-Incremental Behavior Graph Classification. WWW. 2025.
[4] Yue Dai, Yifan Feng, Nan Ma, Xibin Zhao*, Yue Gao, Cross-Modal 3D Shape Retrieval via Heterogeneous Dynamic Graph Representation, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 47, No. 4, 2370–2387, 2025.
[5] Hang Lin, Yifan Peng, Lin Bie, Chenggang Yan, Xibin Zhao*, Yue Gao, Channel Pruning on Frequency Response, SCIENCE CHINA Information Sciences, Vol. 68, No. 112102, 2024.
[6] Changhua Chen, TingZhen Yan, ChenXuan Shi, Hao Xi, ZhiRui Fan, Hai Wan, Xibin Zhao*, The Last Mile of Attack Investigation: Audit Log Analysis towards Software Vulnerability Location, Vol. 19, pp. 9566-9581, IEEE Transactions on Information Forensics & Security, 2024.
[7] 陈昌骅, 万海, 赵曦滨*, 日志重融合:应用程序日志完整性对抗攻击及其防御方法, 中国科学：信息科学, 2024, 第54卷(第9期):2157-2180.
[8] Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, and Xibin Zhao*, Revisiting Graph-based Fraud Detection in Sight of Heterophily and Spectrum, Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
[9] Bingjun Luo, Haowen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao*, Yue Gao. Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition, Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
[10] Bingjun Luo, Zewen Wang, Jinpeng Wang, Junjie Zhu, Xibin Zhao*, Yue Gao. Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition, Proceedings of the AAAI Conference on Artificial Intelligence, 2024.
[11] Zhiyang Cheng, Zizhen Zhu, Haoran Dang, Hai Wan, Xibin Zhao*, LESS: Efficient Log Storage System Based on Learned Model and Minimum Attribute Tree, CoRR, 2024.
[12] Zhiwei Xu, Shaohua Qiang, Dinghong Song, Min Zhou, Hai Wan, Xibin Zhao, Ping Luo, Hongyu Zhang, DSFM: Enhancing Functional Code Clone Detection with Deep Subtree Interactions. Proceedings of the IEEE/ACM International Conference on Software Engineering, 2024.
[13] Yuanlin Li, Zhiwei Xu, Min Zhou, Hai Wan, Xibin Zhao, Trident: Detecting SQL Injection Attacks via Abstract Syntax Tree-based Neural Network, Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024.
[14] Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Dalin Zhang, Siyang Lu, Binyong Li, Wei Gong, Hai Wan, Xibin Zhao, GLADformer: A Mixed Perspective for Graph-Level Anomaly Detection. ECML/PKDD, 2024.
[15] Xiaoxiao Liu, Fan Xu, Nan Wang, Qinxin Zhao, Dalin Zhang, Xibin Zhao, Jiqiang Liu, LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection, CoRR, 2024.
[16] Xuezhi Wen, Meiqi Gao, Nan Wang, Jiahui Ma, Dalin Zhang, Xibin Zhao, Jiqiang Liu, Fairness based on anomaly score and adaptive weight in network attack detection, Information Sciences, Vol. 678, No. 120972, 2024.
[17] 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.
[18] Bingjun Luo, Junjie Zhu, Tianyu Yang, Sicheng Zhao, Chao Hu, Xibin Zhao, Yue Gao. Learning deep hierarchical features with spatial regularization for one-class facial expression recognition, Proceedings of the AAAI Conference on Artificial Intelligence. Vol. 37. No. 5. 2023.
[19] Junjie Zhu, Bingjun Luo, Tianyu Yang, Zewen Wang, Xibin Zhao*, Yue Gao. Knowledge conditioned variational learning for one-class facial expression recognition, IEEE Transactions on Image Processing , 2023
[20] Junjie Zhu, Bingjun Luo, Ao Sun, Jinghang Tan, Xibin Zhao*, Yue Gao. Variance-Aware Bi-Attention Expression Transformer for Open-Set Facial Expression Recognition in the Wild, Proceedings of the 31st ACM International Conference on Multimedia, 2023.
[21] Zhiwei Xu, Min Zhou, Xibin Zhao, Yang Chen, Xi Cheng, Hongyu Zhang. xASTNN: Improved Code Representations for Industrial Practice, ESEC/SIGSOFT FSE 2023: 1727-1738.
[22] 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.
[23] 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.
[24] 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.
[25] 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.
[26] 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.
[27] Xuancheng Zhang, Yutong Feng, Siqi Li, Changqing Zou, Hai Wan, Xibin Zhao*, Yandong Guo, Yue Gao. View-guided point cloud completion, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021.
[28] Xuancheng Zhang, Rui Ma, Changqing Zou, Minghao Zhang, Xibin Zhao*, Yue Gao. View-aware geometry-structure joint learning for single-view 3D shape reconstruction, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021.
[29] Xibin Zhao, Junjie Zhu, Bingjun Luo, Yue Gao. Survey on facial expression recognition: History, applications, and challenges, IEEE MultiMedia, 2021.
[30] Nan Wang, Ruozhou Liang, Xibin Zhao*, Yue Gao. Cost-Sensitive Hypergraph Learning with F-measure Optimization, IEEE Transactions on Cybernetics, 2021.
[31] 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.
[32] Zaiyu Pang, Xiao Huang, Zonghui Li, Sukun Zhang, Yanfen Xu, Hai Wan, Xibin Zhao. Flow Scheduling for Conflict-Free Network Updates in Time-Sensitive Software-Defined Networks. IEEE Transactions on Industrial Informatics, vol. 17, no. 3, pp. 1668-1678, 2021.
[33] Hongyu Jia, Yu Jiang, Chunmeng Zhong, Hai Wan, Xibin Zhao. TTDeep: Time-Triggered Scheduling for Real-Time Ethernet via Deep Reinforcement Learning. GLOBECOM 2021: 1-6.
[34] Chunmeng Zhong, Hongyu Jia, Hai Wan, Xibin Zhao. DRLS: A Deep Reinforcement Learning Based Scheduler for Time-Triggered Ethernet. ICCCN 2021: 1-11.
[35] 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.
[36] 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.
[37] 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.
[38] 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.
[39] 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.
[40] 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.
[41] 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.
[42] 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.
[43] 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.
[44] 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.
[45] 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.
[46] 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.
[47] 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.
[48] 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.
[49] 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.
[50] 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.
[51] 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.
[52] 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.
[53] 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.
[54] 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.
[55] 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.
[56] 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.
[57] Zizhao Zhang, Yubo Zhang, Xibin Zhao, and Yue Gao; EMD Metric Learning. Association for the Advancement of Artificial Intelligence, 2018, 4490-4497.
[58] 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.
[59] 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.
[60] Nan Wang, Xibin Zhao*, Yu Jiang, Yue Gao; Iterative Metric Learning for Imbalance Data Classification. International Joint Conference on Artificial Intelligence, 2018, 2805-2811.
[61] 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.
[62] 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.
[63] 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.
[64] 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.
[65] 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.
[66] 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.
[67] 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.
[68] 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.
[69] Xibin Zhao, You Zhiyang, Hai Wan; A Novel Two-Terminal Reliability Analysis for MANET. Journal of Applied Mathematics, 2013, Vol. 2013.
[70] 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.
[71] 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.
[72] 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.
[73] 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.
[74] 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.
[75] 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.
[76] 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.
[77] 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.
[78] 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.
【专利】
[1]赵曦滨;马易颜;万海，服务器行为异常检测方法、装置、电子设备及存储介质，发明专利，中国，CN202410633860.2，2024-05-21
[2]赵曦滨;魏日升;胡浩;万海，一种基于溯源子图的异常检测方法、装置及电子设备，发明专利，中国，CN202410624914.9，2024-05-20
[3]赵曦滨;席昊;朱金宇;袁沈阳;王震;谭仁轩;万海，一种基于请求的无服务器的攻击溯源方法及系统，发明专利，中国，CN202410573993.5，2024-05-10
[4]赵曦滨;周泽龙;张轩诚;李霄翔;吴都;万海，高级可持续性威胁攻击检测方法、装置及电子设备，发明专利，中国，CN202310539179.7，2023-05-12
[5]赵曦滨;王瑞华;彭贻豪;万海，基于系统溯源图搜索匹配攻击模式的在线系统及服务器，发明专利，中国，ZL202210818526.5，2022-07-12
[6]赵曦滨;陈瑜峰;高跃，三维模型检索方法、装置、电子设备及存储介质，发明专利，中国，CN202210514251.6，2022-05-11
[7]赵曦滨;陈瑜峰;高跃，三维对象检测方法、装置、电子设备及存储介质，发明专利，中国，CN202210507723.5，2022-05-10
[8]赵曦滨;林航;高跃，基于超图模型谱聚类的卷积神经网络卷积核剪枝方法，发明专利，中国，CN202210334415.7，2022-03-30
[9]赵曦滨;张轩诚;高跃，基于可微分投影的高精度多视角点云重建方法及装置，发明专利，中国，CN202210293201.X，2022-03-23
[10]赵曦滨;张轩诚;高跃，基于图像的点云补全方法及系统，发明专利，中国，ZL202110204647.6，2021-02-23
[11]赵曦滨;梁若舟;高跃，基于聚类图神经网络的网络安全异常检测算法和检测系统，发明专利，中国，CN202011090335.9，2020-10-13
[12]赵曦滨;朱俊杰;骆炳君;高跃，一种动态演化表情的识别方法与系统，发明专利，中国，CN202010940835.0，2020-09-09
[13]赵曦滨;万海;张豪;黄潇，一种数据流处理方法、装置、计算设备及存储介质，发明专利，中国，CN202010768030.2，2020-08-03
[14]赵曦滨;万海;孙剑;贾宏宇，一种基于动态快速决策树算法的数据流分类方法及装置，发明专利，中国，CN202010767031.5，2020-08-03
[15]赵曦滨;万海;张豪;黄潇，适应低预算的数据标注请求方法、装置、设备及存储介质，发明专利，中国，ZL202010767850.X，2020-08-03
[16]赵曦滨;陈瑜峰;高跃，一种多视角立体对象重建方法与系统，发明专利，中国，ZL202010754650.0，2020-07-30
[17]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，CN202010716056.2，2020-07-23
[18]赵曦滨;崔浩;高跃，一种基于工控网络流量的异常评估方法与系统，发明专利，中国，CN202010549545.3，2020-06-16
[19]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，CN202010384710.4，2020-05-08
[20]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，ZL201910998682.2，2019-10-21
[21]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，ZL201910851512.1，2019-09-10
[22]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，ZL201910851119.2，2019-09-10
[23]赵曦滨;李宗辉;万海;张苏坤，用于交换机的优先级调度方法和装置，发明专利，中国，CN201910059909.7，2019-01-22
[24]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，2018-12-20
[25]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，ZL201710450602.0，2017-06-15
[26]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，ZL201710045758.0，2017-01-20
[27]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，ZL201710039035.X，2017-01-18
[28]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，ZL201710025977.2，2017-01-13
