Basic Information

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师斌  西安交通大学 副教授 博士生导师

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

Educational Experience

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

站点计数器

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师斌,博士,西安交通大学电信学部计算机学院副教授,博士生导师,弗吉尼亚大学访问学者。隶属于郑庆华教授团队。兼任教育部“拔尖计划2.0”西安交通大学计算机拔尖班秘书,国家税务总局驻西安特派办-西安交通大学大学大数据分析联合创新中心主任,税友-西安交通大学税务大数据分析联合创新中心副主任,教育部“101计划”课程建设组专家,教育部“英才计划”指导老师等职务。曾获国家教学成果奖二等奖。

 

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。主要从事数据挖掘、知识工程以及云计算等方面的研究工作。在KDD、ICDE、TKDE、TON、RAID等国际期刊、会议中发表学术论文30余篇。作为项目负责人主持、参与国家自然科学基金、国家重点研发计划、2030“新一代人工智能”重大项目等多项课题。主持研发的《国家智慧税务大数据分析平台》《云计算安全监控保障平台》《艾维云计算平台-TriCloud混合云平台》已在多个省市和不同行业应用。

 

教学与学生培养:

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。

讲授《计算机科学与技术导论》课程。指导本科生及各阶段研究生发表高水平论文。

 

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

云计算和虚拟化

  • 数据安全与隐私计算
  • 虚拟化技术,基于虚拟化提升虚拟机可靠性,包括隔离、监控、快照迁移等。

Research Fields

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
  • ​​​​​​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
  • Hao Mei, Xiaoliang Lei, Longchao Da, Bin Shi*, Hua Wei*. Libsignal: an open library for traffic signal control[J]. Machine Learning journal, 2023: 1-37. IF= 7.5
  • 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
  • Qinghua Zheng, Yiming Xu, Huixiang Liu, Bin Shi*, Jiaxiang Wang, Bo Dong, A Survey of Tax Risk Detection Using Data Mining Techniques, Engineering, 2023. 中国工程院院刊, IF= 12.8
  • 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