| 2026 | AAAI | Not All Inconsistency Is Equal: Decomposing LVLM Uncertainty into Belief Divergence and Belief Conflict. | Jie Shi, Xiaodong Yue, Wei Liu, Yufei Chen, Feifan Dong |
| 2026 | ACL | InsLogicBench: An Argumentation Logic Grounded Benchmark for Complex Insurance Claims Adjudication. | Jin Liu, Yunpeng Liu, Keyi Wang, Jie Shi, Xiao Xu, Wenkang Huang, Xingzhong Xu, Xin Liang, Yanghua Xiao |
| 2026 | ISKE | Uncovering Reasoning Failures: Hallucination Detection via Semantic Probing and Attention Tracking. | Feifan Dong, Xiaodong Yue, Yufei Chen, Jie Shi |
| 2026 | ISKE | Beyond Statistical Divergence: A Hybrid Calibration Framework for Decoupling Hallucination in Large Language Models. | Jie Shi, Xiaodong Yue, Wei Liu, Yufei Chen, Feifan Dong, Zihao Li |
| 2026 | ISKE | Domain Knowledge Guided for Varicose Vein Classification with Adaptive Clinical Experts. | Yanrun Zhu, Xiaodong Yue, Yufei Chen, Zhikang Xu, Zhipeng Wei, Jie Shi |
| 2026 | WWW | Enhancing Trusted Multi-View Classification via Adaptive Regularization Guided by View-Specific Biases. | Zhiyuan Liu, Xiaodong Yue, Yufei Chen, Shijie Ding, Jie Shi |
| 2026 | WWW | MGK-RAG: Multi-Granularity Knowledge Guided Retrieval-Augmented Generation for Radiology Report. | Jiaqing Ma, Xiaodong Yue, Yufei Chen, Jie Shi, Zhipeng Wei, Zeyu Jia |
| 2026 | WWW | Active Retrieval-Augmented Generation with Conflict-Fused Uncertainty Quantification. | Tao Tang, Xiaodong Yue, Yufei Chen, Jie Shi, Shijie Ding |
| 2025 | AAAI | Multi-Turn Jailbreaking Large Language Models via Attention Shifting. | Xiaohu Du, Fan Mo, Ming Wen, Tu Gu, Huadi Zheng, Hai Jin, Jie Shi |
| 2025 | CIKM | Leveraging Intra-Modal Consistency for Cross-Modal Alignment and Retrieval. | Fengyang Mao, Xiaodong Yue, Yufei Chen, Jiaqing Ma, Zheran Zhang, Jie Shi |
| 2025 | CIKM | CEM: A Data-Efficient Method for Large Language Models to Continue Evolving From Mistakes. | Haokun Zhao, Jinyi Han, Jie Shi, Chengyu Du, Jiaqing Liang, Yanghua Xiao, Weikang Zhou, Zeye Sun, Fei Yu |
| 2025 | COLING | Gen-SQL: Efficient Text-to-SQL By Bridging Natural Language Question And Database Schema With Pseudo-Schema. | Jie Shi, Bo Xu, Jiaqing Liang, Yanghua Xiao, Jia Chen, Chenhao Xie, Peng Wang, Wei Wang |
| 2025 | DASFAA | Log Parsing with LLMs Featuring Self-reflection and Continuous Refining. | Xiaolei Chen, Jia Chen, Jie Shi, Peng Wang, Wei Wang |
| 2025 | EMNLP | Governance in Motion: Co-evolution of Constitutions and AI models for Scalable Safety. | Chenhao Huang, Ziyu Shen, Yicong Ren, Huiyuan Zheng, Jiazheng Zhang, Mingxu Chai, Ming Zhang, Shihan Dou, Fan Mo, Jie Shi, Tao Gui, Qi Zhang, Xuanjing Huang |
| 2025 | EMNLP | Skeletons Matter: Dynamic Data Augmentation for Text-to-Query. | Yuchen Ji, Bo Xu, Jie Shi, Jiaqing Liang, Deqing Yang, Yu Mao, Hai Chen, Yanghua Xiao |
| 2025 | EMNLP | Dialect-SQL: An Adaptive Framework for Bridging the Dialect Gap in Text-to-SQL. | Jie Shi, Xi Cao, Bo Xu, Jiaqing Liang, Yanghua Xiao, Jia Chen, Peng Wang, Wei Wang |
| 2025 | FASE | VOCE: A Virtual On-Call Engineer for Automated Alert Incident Analysis Using a Large Language Model. | Jia Chen, Xiaolei Chen, Jie Shi, Peng Wang, Wei Wang |
| 2025 | ICCV | PBCAT: Patch-Based Composite Adversarial Training Against Physically Realizable Attacks on Object Detection. | Xiao Li, Yiming Zhu, Yifan Huang, Wei Zhang, Yingzhe He, Jie Shi, Xiaolin Hu |
| 2025 | ICDE | EPAS: Efficient Online Log Parsing via Asynchronous Scheduling of LLM Queries. | Xiaolei Chen, Jia Chen, Jie Shi, Peng Wang, Wei Wang |
| 2025 | ICLR | AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models. | Junfeng Fang, Houcheng Jiang, Kun Wang, Yunshan Ma, Jie Shi, Xiang Wang, Xiangnan He, Tat-Seng Chua |
| 2025 | ICLR | ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification. | Xiao Li, Wenxuan Sun, Huanran Chen, Qiongxiu Li, Yingzhe He, Jie Shi, Xiaolin Hu |
| 2025 | MICCAI | ECG Report Generation with Diagnostic Knowledge Enhanced Prompt Learning. | Panpan Fan, Xiaodong Yue, Yufei Chen, Zhipeng Wei, Jie Shi, Zhikang Xu |
| 2025 | SoMeT | Uncertainty-Aware Modeling of Q-Values for Efficient Exploration in Deep Reinforcement Learning. | Jianyi Wu, Xiaodong Yue, Jie Shi |
| 2024 | AAAI | Small Language Model Can Self-Correct. | Haixia Han, Jiaqing Liang, Jie Shi, Qianyu He, Yanghua Xiao |
| 2024 | ICASSP | ADVSV: An Over-the-Air Adversarial Attack Dataset for Speaker Verification. | Li Wang, Jiaqi Li, Yuhao Luo, Jiahao Zheng, Lei Wang, Hao Li, Ke Xu, Chengfang Fang, Jie Shi, Zhizheng Wu |
| 2024 | Interspeech | VoiceDefense: Protecting Automatic Speaker Verification Models Against Black-box Adversarial Attacks. | Yip Keng Kan, Ke Xu, Hao Li, Jie Shi |
| 2024 | ICSE | High-precision Online Log Parsing with Large Language Models. | Xiaolei Chen, Jie Shi, Jia Chen, Peng Wang, Wei Wang |
| 2024 | ISSTA | TeDA: A Testing Framework for Data Usage Auditing in Deep Learning Model Development. | Xiangshan Gao, Jialuo Chen, Jingyi Wang, Jie Shi, Peng Cheng, Jiming Chen |
| 2023 | AsiaCCS | QUDA: Query-Limited Data-Free Model Extraction. | Zijun Lin, Ke Xu, Chengfang Fang, Huadi Zheng, Aneez Ahmed Jaheezuddin, Jie Shi |
| 2023 | ICDCS | A Data Flow Framework with High Throughput and Low Latency for Permissioned Blockchains. | Zhenxing Hu, Shengjie Guan, Wenbo Xu, Zhen Xiao, Jie Shi, Pengze Li, Qiuyu Ding, Hui Ding, Chao Zeng |
| 2023 | ICDE | Differential Aggregation against General Colluding Attackers. | Rong Du, Qingqing Ye, Yue Fu, Haibo Hu, Jin Li, Chengfang Fang, Jie Shi |
| 2023 | Interspeech | DoubleDeceiver: Deceiving the Speaker Verification System Protected by Spoofing Countermeasures. | Mengao Zhang, Ke Xu, Hao Li, Lei Wang, Chengfang Fang, Jie Shi |
| 2023 | ISSRE | ShellGPT: Generative Pre-trained Transformer Model for Shell Language Understanding. | Jie Shi, Sihang Jiang, Bo Xu, Jiaqing Liang, Yanghua Xiao, Wei Wang |
| 2023 | SP | 3DFed: Adaptive and Extensible Framework for Covert Backdoor Attack in Federated Learning. | Haoyang Li, Qingqing Ye, Haibo Hu, Jin Li, Leixia Wang, Chengfang Fang, Jie Shi |
| 2022 | ECCV | TransPatch: A Transformer-based Generator for Accelerating Transferable Patch Generation in Adversarial Attacks Against Object Detection Models. | Jinghao Wang, Chenling Cui, Xuejun Wen, Jie Shi |
| 2022 | TASE | Repairing Adversarial Texts Through Perturbation. | Guoliang Dong, Jingyi Wang, Jun Sun, Sudipta Chattopadhyay, Xinyu Wang, Ting Dai, Jie Shi, Jin Song Dong |
| 2021 | ACNS | Towards Demystifying Adversarial Robustness of Binarized Neural Networks. | Zihao Qin, Hsiao-Ying Lin, Jie Shi |
| 2021 | CCS | Cert-RNN: Towards Certifying the Robustness of Recurrent Neural Networks. | Tianyu Du, Shouling Ji, Lujia Shen, Yao Zhang, Jinfeng Li, Jie Shi, Chengfang Fang, Jianwei Yin, Raheem Beyah, Ting Wang |
| 2021 | CCS | Backdoor Pre-trained Models Can Transfer to All. | Lujia Shen, Shouling Ji, Xuhong Zhang, Jinfeng Li, Jing Chen, Jie Shi, Chengfang Fang, Jianwei Yin, Ting Wang |
| 2020 | CCS | Where Does the Robustness Come from?: A Study of the Transformation-based Ensemble Defence. | Chang Liao, Yao Cheng, Chengfang Fang, Jie Shi |
| 2020 | ICISSP | Bident Structure for Neural Network Model Protection. | Hsiao-Ying Lin, Chengfang Fang, Jie Shi |
| 2019 | ESORICS | BDPL: A Boundary Differentially Private Layer Against Machine Learning Model Extraction Attacks. | Huadi Zheng, Qingqing Ye, Haibo Hu, Chengfang Fang, Jie Shi |
| 2018 | ICPR | Fourier Transform based Features for Clean and Polluted Water Image Classification. | Xuerong Wu, Palaiahnakote Shivakumara, Liping Zhu, Hualu Zhang, Jie Shi, Tong Lu, Umapada Pal, Michael Blumenstein |
| 2016 | CVPR | Shape Analysis with Hyperbolic Wasserstein Distance. | Jie Shi, Wen Zhang, Yalin Wang |
| 2016 | MICCAI | Hyperbolic Space Sparse Coding with Its Application on Prediction of Alzheimer's Disease in Mild Cognitive Impairment. | Jie Zhang, Jie Shi, Cynthia M. Stonnington, Qingyang Li, Boris A. Gutman, Kewei Chen, Eric M. Reiman, Richard J. Caselli, Paul M. Thompson, Jieping Ye, Yalin Wang |
| 2014 | ESORICS | Authorized Keyword Search on Encrypted Data. | Jie Shi, Junzuo Lai, Yingjiu Li, Robert H. Deng, Jian Weng |
| 2013 | ICPADS | Lightweight Management of Authorization Update on Cloud Data. | Zongmin Cui, Hong Zhu, Jie Shi, Lianhua Chi, Ke Yan |
| 2013 | MICCAI | Statistical Analysis of Relative Pose of the Thalamus in Preterm Neonates. | Yi Lao, Jie Shi, Yalin Wang, Rafael Ceschin, Darryl Hwang, Marvin D. Nelson, Ashok Panigrahy, Natasha Lepor |
| 2013 | MICCAI | A Heat Kernel Based Cortical Thickness Estimation Algorithm. | Gang Wang, Xiaofeng Zhang, Qingtang Su, Jiannong Chen, Lili Wang, Yunyan Ma, Qiming Liu, Liang Xu, Jie Shi, Yalin Wang |
| 2012 | MICCAI | Hyperbolic Ricci Flow and Its Application in Studying Lateral Ventricle Morphometry. | Jie Shi, Paul M. Thompson, Yalin Wang |
| 2011 | DEXA | Enabling Knowledge Extraction from Low Level Sensor Data. | Paolo Cappellari, Jie Shi, Mark Roantree, Crionna Tobin, Niall Moyna |
| 2011 | MICCAI | Human Brain Mapping with Conformal Geometry and Multivariate Tensor-Based Morphometry. | Jie Shi, Paul M. Thompson, Yalin Wang |
| 2009 | Qshine | Using Sensor Networks to Measure Intensity in Sporting Activities. | Mark Roantree, Michael Whelan, Jie Shi, Niall Moyna |
| 2008 | IDEAS | Dynamic data recovery for database systems based on fine grained transaction log. | Hong Zhu, Ge Fu, Yi Zhu, Renchao Jin, Kevin L, Jie Shi |