| 2026 | AAAI | Scope Delineation Before Localization: A Two-Stage Framework for Enhancing Failure Attribution in Multi-Agent Systems. | Kai Sun, Wenqiang Li, Bo Dong, Yuxin Lin, Jingyao Zhang, Bin Shi |
| 2026 | AAAI | Enhancing Pre-training Data Detection in LLMs Through Discriminative and Symmetric Prefix Selection. | Kai Sun, Yuxin Lin, Bo Dong, Jingyao Zhang, Bin Shi |
| 2026 | ICSE | Unveiling the Potential of Diffusion Large Language Models in Software Engineering Tasks: An Empirical Study. | Jingyao Zhang, Tianlin Li, Xiaoyu Zhang, Qiang Hu, Bin Shi |
| 2025 | AAAI | Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective. | Yiming Xu, Zhen Peng, Bin Shi, Xu Hua, Bo Dong, Song Wang, Chen Chen |
| 2025 | AAAI | VERO: Verification and Zero-Shot Feedback Acquisition for Few-Shot Multimodal Aspect-Level Sentiment Classification. | Kai Sun, Hao Wu, Bin Shi, Samuel Mensah, Peng Liu, Bo Dong |
| 2025 | AAAI | Out-of-Distribution Generalization on Graphs via Progressive Inference. | Yiming Xu, Bin Shi, Zhen Peng, Huixiang Liu, Bo Dong, Chen Chen |
| 2025 | COLING | AHVE-CNER: Aligned Hanzi Visual Encoding Enhance Chinese Named Entity Recognition with Multi-Information. | Xuhui Zheng, Zhiyuan Min, Bin Shi, Hao Wang |
| 2025 | ECAI | Text-Attributed Graph Anomaly Detection via Multi-Scale Cross- and Uni-Modal Contrastive Learning. | Yiming Xu, Xu Hua, Zhen Peng, Bin Shi, Jiarun Chen, Xingbo Fu, Song Wang, Bo Dong |
| 2025 | ICML | Quantum Optimization via Gradient-Based Hamiltonian Descent. | Jiaqi Leng, Bin Shi |
| 2025 | KSEM | MOAT: A Multi-objective Approach to Federated IoT Botnet Detection. | Yangzong Zhang, Wenjian Liu, Bin Shi, Tianqing Zhu |
| 2025 | WWW | NI-GDBA: Non-Intrusive Distributed Backdoor Attack Based on Adaptive Perturbation on Federated Graph Learning. | Ken Li, Bin Shi, Jiazhe Wei, Bo Dong |
| 2024 | AAAI | RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection. | Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng |
| 2024 | AAAI | The Evidence Contraction Issue in Deep Evidential Regression: Discussion and Solution. | Yuefei Wu, Bin Shi, Bo Dong, Qinghua Zheng, Hua Wei |
| 2024 | CVPR | Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning. | Rui Zhao, Bin Shi, Jianfei Ruan, Tianze Pan, Bo Dong |
| 2024 | KDD | Tackling Instance-Dependent Label Noise with Class Rebalance and Geometric Regularization. | Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi |
| 2023 | APWEB | DYGL: A Unified Benchmark and Library for Dynamic Graph. | Teng Ma, Bin Shi, Yiming Xu, Zihan Zhao, Siqi Liang, Bo Dong |
| 2023 | CIKM | Rethinking Sentiment Analysis under Uncertainty. | Yuefei Wu, Bin Shi, Jiarun Chen, Yuhang Liu, Bo Dong, Qinghua Zheng, Hua Wei |
| 2023 | HCI | Motivation Enhancement Design for Individual Exercise Habits Based on Multimodal Physiological Signals. | Xiangyu Liu, Di Zhang, Jiayuan Lu, Bin Shi, Lv Ding, Yingjie Huang, Ke Miao, Hao Tang |
| 2023 | ICDE | CLDG: Contrastive Learning on Dynamic Graphs. | Yiming Xu, Bin Shi, Teng Ma, Bo Dong, Haoyi Zhou, Qinghua Zheng |
| 2023 | ICDM | Uncertainty-aware Traffic Prediction under Missing Data. | Hao Mei, Junxian Li, Zhiming Liang, Guanjie Zheng, Bin Shi, Hua Wei |
| 2023 | IJCAI | Reinforcement Learning Approaches for Traffic Signal Control under Missing Data. | Hao Mei, Junxian Li, Bin Shi, Hua Wei |
| 2023 | IJCAI | NerCo: A Contrastive Learning Based Two-Stage Chinese NER Method. | Zai Zhang, Bin Shi, Haokun Zhang, Huang Xu, Yaodong Zhang, Yuefei Wu, Bo Dong, Qinghua Zheng |
| 2022 | IJCNN | Adaptive Shapelets Preservation for Time Series Augmentation. | Pin Liu, Xiaohui Guo, Pengpeng Chen, Bin Shi, Tianyu Wo, Xudong Liu |
| 2022 | KDD | Modeling Network-level Traffic Flow Transitions on Sparse Data. | Xiaoliang Lei, Hao Mei, Bin Shi, Hua Wei |
| 2021 | ASPDAC | A Hierarchical Assessment Strategy on Soft Error Propagation in Deep Learning Controller. | Ting Liu, Yuzhuo Fu, Yan Zhang, Bin Shi |
| 2020 | COMPSAC | RVAE-ABFA : Robust Anomaly Detection for HighDimensional Data Using Variational Autoencoder. | Yuda Gao, Bin Shi, Bo Dong, Yan Chen, Lingyun Mi, Zhiping Huang, Yuanyuan Shi |
| 2020 | COMPSAC | TTED-PU: A Transferable Tax Evasion Detection Method Based on Positive and Unlabeled Learning. | Fa Zhang, Bin Shi, Bo Dong, Qinghua Zheng, Xiangting Ji |
| 2020 | ICONIP | A Tax Evasion Detection Method Based on Positive and Unlabeled Learning with Network Embedding Features. | Lingyun Mi, Bo Dong, Bin Shi, Qinghua Zheng |
| 2020 | IECON | A Crowdsourcing-based Localization Scheme with Ultra-Wideband Communication. | Bin Shi, Yujie Hu, Quanzhen Duan, Li Han, Yuemin Ding |
| 2019 | INFOCOM | Memory/Disk Operation Aware Lightweight VM Live Migration Across Data-centers with Low Performance Impact. | Bin Shi, Haiying Shen |
| 2019 | SMC | Frequency analysis of entanglement dynamics in coupled quantum oscillators. | Bin Shi, Chao Xu |
| 2018 | RAID | ShadowMonitor: An Effective In-VM Monitoring Framework with Hardware-Enforced Isolation. | Bin Shi, Lei Cui, Bo Li, Xudong Liu, Zhiyu Hao, Haiying Shen |
| 2016 | FIE | Analysis of students' behavior in the process of operating system experiments. | Lei Wang, Chao Gao, Tianyu Wo, Bin Shi |
| 2016 | HPCC | Optimizing Virtual Machine Live Migration without Shared Storage in Hybrid Clouds. | Shan He, Chunming Hu, Bin Shi, Tianyu Wo, Bo Li |
| 2015 | VEE | PARS: A Page-Aware Replication System for Efficiently Storing Virtual Machine Snapshots. | Lei Cui, Tianyu Wo, Bo Li, Jianxin Li, Bin Shi, Jinpeng Huai |
| 2014 | HPCC | SyncSnap: Synchronized Live Memory Snapshots of Virtual Machine Networks. | Bin Shi, Bo Li, Lei Cui, Jieyu Zhao, Jianxin Li |
| 2014 | ICPADS | FENet: An SDN-based scheme for virtual network management. | Kun Liu, Tianyu Wo, Lei Cui, Bin Shi, Jie Xu |
| 2014 | UCC | Mercurial: A Traffic-Saving Roll Back System for Virtual Machine Cluster. | Bin Shi, DeQing Chen, Lei Cui, Jingsheng Zheng, Bo Li |
| 2014 | UCC | NSLPA: A Node Similarity Based Label Propagation Algorithm for Real-Time Community Detection. | Qi Song, Bo Li, Weiren Yu, Jianxin Li, Bin Shi |
| 2013 | ICIG | Image Processing and Recognition of Multiple Static Hand Gestures for Human-Computer Interaction. | Yongjing Liu, Yixing Yang, Lu Wang, Jiapeng Xu, Hongzhi Qi, Xin Zhao, Peng Zhou, Lixin Zhang, Baikun Wan, Dong Ming, Defang Guo, Bin Shi, Jun Wang |
| 2009 | ISNN | Application of Visualization Method to Concrete Mix Optimization. | Bin Shi, Liexiang Yan, Quan Guo |
| 2008 | SMC | Generating a concept hierarchy for sentiment analysis. | Bin Shi, Kuiyu Chang |
| 2007 | ATC | Ontology Based Hybrid Access Control for Automatic Interoperation. | Yuqing Sun, Peng Pan, Ho-fung Leung, Bin Shi |
| 2006 | ICDM | Mining Chinese Reviews. | Bin Shi, Kuiyu Chang |
| 2005 | DIS | Finding Significant Web Pages with Lower Ranks by Pseudo-Clique Search. | Yoshiaki Okubo, Makoto Haraguchi, Bin Shi |
| 2005 | Interact | From Extraneous Noise to Categorizable Signatures: Using Multi-scale Analyses to Assess Implicit Interaction Needs of Older Adults with Visual Impairments. | Kevin P. Moloney, V. Kathlene Leonard, Bin Shi, Julie A. Jacko, Brani Vidakovic, Franois Sainfort |