师斌 西安交通大学 副教授 博士生导师
西安交通大学计算机学院副书记
陕西省大数据知识工程实验室轮值主任
智能网络与网络安全教育部重点实验室副主任
联系方式：
邮箱：shibin [AT] xjtu.edu.cn
通讯地址：
西安交通大学兴庆校区西一楼440
西安交通大学创新港校区泓理楼6099
邮政编码：710049
Welcome - 师 斌
2009.09 - 2013.06 北京航空航天大学 计算机科学与技术 本科
2013.09 - 2019.06 北京航空航天大学 计算机软件与理论 博士
导师：怀进鹏教授 毕业论文：负载感知的云计算环境可靠性增强技术研究
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2025-07-31
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2024-11-22
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2024-11-15
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2024-03-01
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2023-12-18
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2023-12-18
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师斌，博士，西安交通大学计算机学院副教授，博士生导师，隶属于郑庆华教授团队。任陕西省大数据知识工程实验室轮值主任，智能网络与网络安全教育部重点实验室副主任，西安交通大学计算机学院副书记，教育部“101计划”课程建设组专家等。
学术研究：
2019年6月获北京航空航天大学计算机学院计算机软件与理论专业工学博士学位，师从怀进鹏院士。主要从事财税大数据分析、垂域大模型等方面的研究工作，在KDD、ICDE、TKDE、TON等国际期刊、会议中发表学术论文60余篇，授权专利20余项。作为项目负责人主持国家自然科学基金青年基金项目、国家自然科学基金面上项目、陕西省重点研发计划等多项课题，以第一完成人获浙江省科技进步二等奖。
教学与学生培养：
讲授《计算机科学与技术导论》、《计算概论》课程，编写教材3部，主持教育部教改项目2项，获2022年国家级教学成果奖二等奖，入选2024年高校计算机优秀教师奖励计划。
团队常年招收计算机、软件、自动化等方向博士生、硕士生、以及学有余力的本科实习生，欢迎加入。
研究领域：
数据挖掘和机器学习
- 数据缺失、噪声、高不确定性场景下的数据挖掘和异常检测
- 应用：税收、金融风险检测，智能交通等
大模型
- 垂直领域大模型技术与应用
- 不确定性量化，表格-文本多模态理解，垂直领域知识构建，LLM as Agent
2025
- 郑庆华, 师斌, 刘均, 知识工程现代方法, 高等教育出版社, 2025, 人工智能“101计划”核心课程教材
- Bin Shi, Bo Dong, Qinghua Zheng*, Uncertainty-aware Large Language Model Response Length Perception, SCIENCE CHINA Information Sciences, IF = 7.6, CCF A类
- Yiming Xu, Bin Shi*, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen, Out-of-Distribution Generalization on Graphs via Progressive Inference, AAAI 2025, CCF A类
- Ken Li, Bin Shi*, Jiazhe Wei, Bo Dong, NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning, WWW 2025, CCF A类
- Yiming Xu, Bin Shi*, Bo Dong, Jiaxiang Wang, Hua Wei, Qinghua Zheng, TED: related party transaction guided tax evasion detection on heterogeneous graph, Data Mining and Knowledge Discovery, IF = 4.3, CCF B类
- Kai Sun, Hao Wu, Bin Shi*, Samuel Mensah, Peng Liu, Bo Dong, VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification, AAAI 2025, CCF A类
- Yuefei Wu, Bin Shi*, Bo Dong, Qinghua Zheng, TransTS: An adaptive post-hoc method for probability calibration under label noise, SCIENCE CHINA Information Sciences, IF = 7.6, CCF A类
- Kai Sun, Bin Shi*, Samuel Mensah, Wenjian Liu, Bo Dong, Dual-Aspect Noise-Based Regularization for Multi-Modal Relation Extraction in Media Posts, IEEE Transactions on Audio, Speech and Language Processing, IF = 5.1, CCF B类
- Yiming Xu, Jiarun Chen, Zhen Peng*, Zihan Chen, Qika Lin, Lan Ma, Bin Shi*, Court of LLMs: Evidence-Augmented Generation via Multi-LLM Collaboration for Text-Attributed Graph Anomaly Detection, MM 2025, CCF A类
- Jiazhe Wei, Yuefei Wu, Bin Shi*, Ken Li, Bo Dong, ALM-PU: positive and unlabeled learning with constrained optimization, Machine Learning 114 (9), 1-22, CCF B类
- Yiming Xu, Xu Hua, Zhen Peng*, Bin Shi*, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong, Text-Attributed Graph Anomaly Detection via Multi-Scale Cross-and Uni-Modal Contrastive Learning, ECAI 2025, CCF B类
- Zhiming Liang, Bin Shi*, Bo Dong, Hua Wei, Management Actions Enhanced Traffic Prediction Under Sparse Data, IEEE Transactions on Intelligent Transportation Systems, IF = 8.4, CCF B类
- Zhen Peng, Yunfan Wang, Qika Lin, Bin Shi*, Chen Chen, Bo Dong, Chao Shen, End-to-End Abnormal Subgraph Detection via Subgraph-Level Contrastive Learning, IEEE Transactions on Neural Networks and Learning Systems, IF =8.9, CCF B类
- Yanjing Wang, Kai Sun*, Bin Shi, Hao Wu, Kaihao Zhang, Bo Dong, A guard against ambiguous sentiment for multimodal aspect-level sentiment classification, Information Processing & Management 63 (2), 104375, IF = 6.9, CCF B类
- Yiming Xu, Zhen Peng*, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen, Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective, AAAI 2025, CCF A类
2024
- Rui Zhao, Bin Shi*, Jianfei Ruan, Tianze Pan, Bo Dong, Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning, In Proceedings of CVPR 2024. CCF A类
- Yuefei Wu, Bin Shi*, Bo Dong, Qinghua Zheng, Hua Wei, The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution, In Proceedings of AAAI 2024. CCF A 类
- Qinghua Zheng, Yiming Xu, Huixiang Liu, Bin Shi*, Jiaxiang Wang, Bo Dong, A survey of tax risk detection using data mining techniques, Engineering 34, 43-59, IF = 11.6, 中国工程院院刊
- Yiming Xu, Zhen Peng*, Bin Shi, Xu Hua, Bo Dong, Learning dynamic graph representations through timespan view contrasts, Neural Networks 176, 106384, IF =6.3, CCF B类
- Shuzhi Cao, Jianfei Ruan, Bo Dong*, Bin Shi, Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization, KDD 2024, CCF A 类
- Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi*, Hua Wei*, Libsignal: An open library for traffic signal control, Machine Learning 113 (8), 5235-5271, CCF B类
- Shuzhi Cao, Jianfei Ruan, Bo Dong*, Bin Shi, Qinghua Zheng, RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection, In Proceedings of AAAI 2024. CCF A 类
2023
- Yiming Xu, Bin Shi*, Teng Ma et al. "CLDG: Contrastive Learning on Dynamic Graphs." in Proceedings of the 39th IEEE International Conference on Data Engineering. ICDE 2023. CCF A 类
- Zai Zhang, Bin Shi*, Haokun Zhang, Bo Dong, et al. "NerCo: A Contrastive Learning based Two-stage Chinese NER Method." in Proceedings of the 32nd International Joint Conference on Artificial Intelligence. IJCAI 2023. CCF A 类
- Bin Shi, Bo Dong, Yiming Xu et al. "An Edge Feature Aware Heterogeneous Graph Neural Network Model to Support Tax Evasion Detection" in Expert Systems With Applications. SCI 一区 If = 8.665
- Yuefei Wu, Bin Shi*, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, and Hua Wei, Rethinking Sentiment Analysis under Uncertainty. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, CIKM 2023. CCF B 类
- Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei*, Uncertainty-aware Traffic Prediction under Missing Data, In prpceedings of ICDM 2023. CCF B 类
- Wanghan Xu, Bin Shi*, Jiqiang Zhang, Zhiyuan Feng, Tianze Pan, Bo Dong, MDP: Privacy-Preserving GNN Based on Matrix Decomposition and Differential Privacy, IEEE International Conference on Joint Cloud Computing (JCC), 38-45
- Qinghua Zheng, Yuefei Wu, Guangtao Wang*, Yanping Chen, Wei Wu, Zai Zhang, Bin Shi, Bo Dong, Exploring Interactive and Contrastive Relations for Nested Named Entity Recognition, IEEE/ACM Transactions on Audio, Speech, and Language Processing, TASLP 2023. CCF B 类
- Hao Mei, Junxian Li, Bin Shi, et al. "Reinforcement Learning Approaches for Traffic Signal Control under Missing Data." in Proceedings of the 32nd International Joint Conference on Artificial Intelligence. IJCAI 2023. CCF A 类
- 郑庆华，师斌*，董博, 面向智慧税务的大数据知识工程技术及其应用, 中国工程院院刊《中国工程科学》
- 师斌*，邹安琪，杨可等，大数据知识工程赋能税收智能计算，《中国计算机学会通讯》，2023年第7期
2022
- Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei. "Modeling Network-level Traffic Flow Transitions on Sparse Data." in Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. 2022. CCF A 类
- Zhiyuan Feng (本科大三同学), Kai Qi, Bin Shi, et al. "Deep evidential learning in Diffusion Convolutional Recurrent Neural Network" in DIT2022, invited to Electronic Research Archive. SCI 一区 if = 1.604
- Bin Shi, Haiying Shen, Bo Dong, and Qinghua Zheng. "Memory/Disk Operation Aware Lightweight VM Live Migration." in IEEE/ACM Transactions on Networking (2022). CCF A 类
- Yuda Gao, Bin Shi*, Bo Dong, Yiyang Wang, Lingyun Mi and Qinghua Zheng, "Tax Evasion Detection with FBNE-PU Algorithm Based on PnCGCN and PU Learning," in IEEE Transactions on Knowledge and Data Engineering (2022). CCF A 类
- Bin Shi, Bo Dong, and Qinghua Zheng. "Be United in Actions: Taking Live Snapshots of Heterogeneous Edge-Cloud Collaborative Cluster with Low Overhead." IEEE Internet of Things Journal (2021). SCI 一区 If = 9.376
2021及以前部分工作
- Yongan Xiang (本科大三同学), Bin Shi*, Chongle Zhang. Proteus: Distributed machine learning task scheduling based on Lyapunov optimization. 2021 IEEE International Conference on Joint Cloud Computing (JCC)
- Bin Shi,Haiying Shen: Memory/Disk Operation aware Lightweight VM Live Migration across Data-centers with Low Performance Impact. INFOCOM 2019 CCF A 类
- Bin Shi, Lei Cui, Bo Li et al.: ShadowMonitor: An Effective in-VM Monitoring Framework with Hardware-enforced Isolation. RAID 2018 CCF B 类
- Fa Zhang, Bin Shi, Bo Dong, Qinghua Zheng, Xiangting Ji: TTED-PU: A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning. COMPSAC 2020: 207-216
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Yuda Gao, Bin Shi, Bo Dong, Yan Chen, Lingyun Mi, Zhiping Huang, Yuanyuan Shi: RVAE-ABFA : Robust Anomaly Detection for HighDimensional Data Using Variational Autoencoder. COMPSAC 2020: 334-339
- Bin Shi, Bo Li, Lei Cui, Liu Ouyang: Vanguard: A Cache-Level Sensitive File Integrity Monitoring System in Virtual Machine Environment. IEEE Access
- Jingjie Qin, Bin Shi, Bo Li: NEM: A NEW In-VM Monitoring with High Efficiency and Strong Isolation. SmartCom 2017: 396-40
- Bin Shi, Bo Li, Lei Cui, Jieyu Zhao, Jianxin Li: SyncSnap: Synchronized Live Memory Snapshots of Virtual Machine Networks. HPCC/CSS/ICESS 2014: 490-497
- Bin Shi, DeQing Chen, Lei Cui, Jingsheng Zheng, Bo Li: Mercurial: A Traffic-Saving Roll Back System for Virtual Machine Cluster. UCC 2014: 877-88
