​​​​​​​

Bin Shi (师斌)

Associate Professor

Institute of Multimedia Knowledge Fusion and Engineering  

Shaanxi Key Laboratory of Satellite-Terrestrial Network Tech R & D

XJTU-SERVYOU Joint Tax-AI Lab

School of Computer Science and Technology, Xi'an Jiaotong University

Contact me:

Email: shibin [AT] xjtu.edu.cn
Address: Office 440, Xiyi Building, Xianning Road, Beilin District, Xi'an 710049, China

Short Bio:

Bin Shi is an Associate Professor in the School of Computer Science and Technology, Xi'an Jiaotong University. He received the B.Eng. and Ph.D. degree in computer science from Beihang University in 2013 and 2019, respectively. He also worked as a visit scholar from 2018 to 2019 in the department of computer science, University of Virginia. His research interests includes Virtualization, Cloud Resource Management, and Data Mining in Financial Area. Bin Shi have been hosting several projects sponsored by National Natural Science Foundation of China, Baidu Songguo Fund, and XJTU-SERVYOU Joint Tax-AI Lab. he also participated as a core member in China 863 and 973 programs, National Key Research, and Development Program of China. His work about National Smart Taxation Analysis Platform and Cloud Computing Security Monitoring Platform has been used in many provinces and cities. He has published 30+ papers in the conferences and journals such as TKDE, VEE, RAID, INFOCOM, and served as a PC member or reviewer in many international conferences and journals.

Research:

Data mining and machine learning

• Financial network analysis, including taxation and financial risk detection.
• Graph machine learning, including graph neural networks and their applications.

Cloud computing and virtualization

• ​​​​​​​Cloud Resource Scheduling, including resource modeling, load-aware scheduling, etc.
• Virtualization, improving the reliability of virtual machines in virtualization layer, including isolation, monitoring, and snapshot.​​​​​​​

NOTE: I am always recruiting new master, Ph.D. students, please feel free to contact me for more information!

Teaching:

• Introduction to Computer Science, Fall 2021
• Introduction to Computer Science, Spring 2021​​​​​​​
• Introduction to Computer Science, Fall 2020
• ​​​​​​​Introduction to Computer Science, Spring 2020

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

• 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