| 2026 | ACL | Visual Self-Fulfilling Alignment: Shaping Safety-Oriented Personas via Threat-Related Images. | Qishun Yang, Shu Yang, Lijie Hu, Di Wang |
| 2026 | ACL | Flattery in Motion: Benchmarking and Analyzing Sycophancy in Video-LLMs. | Wenrui Zhou, Mohamed Hendy, Shu Yang, Qingsong Yang, Zikun Guo, Yuyu Luo, Lijie Hu, Di Wang |
| 2026 | ACL | Deciphering Cultural Representations in Large Language Models via Sparse Autoencoders. | Chenye Zou, Difan Jiao, Lijie Hu |
| 2026 | WWW | PIXEL: Adaptive Steering Via Position-wise Injection with eXact Estimated Levels under a Subspace Calibration. | Manjiang Yu, Hongji Li, Priyanka Singh, Xue Li, Di Wang, Lijie Hu |
| 2025 | AAAI | Tuning-Free Accountable Intervention for LLM Deployment - a Metacognitive Approach. | Zhen Tan, Jie Peng, Song Wang, Lijie Hu, Tianlong Chen, Huan Liu |
| 2025 | AAAI | Fair Text-to-Image Diffusion via Fair Mapping. | Jia Li, Lijie Hu, Jingfeng Zhang, Tianhang Zheng, Hua Zhang, Di Wang |
| 2025 | ACL | COMPKE: Complex Question Answering under Knowledge Editing. | Keyuan Cheng, Zijian Kan, Zhuoran Zhang, Muhammad Asif Ali, Lijie Hu, Di Wang |
| 2025 | ACL | CODEMENV: Benchmarking Large Language Models on Code Migration. | Keyuan Cheng, Xudong Shen, Yihao Yang, TengyueWang TengyueWang, Yang Cao, Muhammad Asif Ali, Hanbin Wang, Lijie Hu, Di Wang |
| 2025 | ACL | Fraud-R1 : A Multi-Round Benchmark for Assessing the Robustness of LLM Against Augmented Fraud and Phishing Inducements. | Shu Yang, Shenzhe Zhu, Zeyu Wu, Keyu Wang, Junchi Yao, Junchao Wu, Lijie Hu, Mengdi Li, Derek F. Wong, Di Wang |
| 2025 | ACL | Understanding the Repeat Curse in Large Language Models from a Feature Perspective. | Junchi Yao, Shu Yang, Jianhua Xu, Lijie Hu, Mengdi Li, Di Wang |
| 2025 | EMNLP | Can Large Language Models Identify Implicit Suicidal Ideation? An Empirical Evaluation. | Tong Li, Shu Yang, Junchao Wu, Jiyao Wei, Lijie Hu, Mengdi Li, Derek F. Wong, Joshua R. Oltmanns, Di Wang |
| 2025 | EMNLP | Understanding How Value Neurons Shape the Generation of Specified Values in LLMs. | Yi Su, Jiayi Zhang, Shu Yang, Xinhai Wang, Lijie Hu, Di Wang |
| 2025 | ICCV | Semi-Supervised Concept Bottleneck Models. | Lijie Hu, Tianhao Huang, Huanyi Xie, Xilin Gong, Chenyang Ren, Zhengyu Hu, Lu Yu, Ping Ma, Di Wang |
| 2025 | ICLR | Backdooring Vision-Language Models with Out-Of-Distribution Data. | Weimin Lyu, Jiachen Yao, Saumya Gupta, Lu Pang, Tao Sun, Lingjie Yi, Lijie Hu, Haibin Ling, Chao Chen |
| 2025 | ICML | Locate-then-edit for Multi-hop Factual Recall under Knowledge Editing. | Zhuoran Zhang, Yongxiang Li, Zijian Kan, Keyuan Cheng, Lijie Hu, Di Wang |
| 2025 | ICML | Editable Concept Bottleneck Models. | Lijie Hu, Chenyang Ren, Zhengyu Hu, Hongbin Lin, Cheng-Long Wang, Zhen Tan, Weimin Lyu, Jingfeng Zhang, Hui Xiong, Di Wang |
| 2025 | ICRA | DRIVE: Dependable Robust Interpretable Visionary Ensemble Framework in Autonomous Driving. | Songning Lai, Tianlang Xue, Hongru Xiao, Lijie Hu, Jiemin Wu, Ninghui Feng, Runwei Guan, Haicheng Liao, Zhenning Li, Yutao Yue |
| 2025 | NAACL | Mechanistic Unveiling of Transformer Circuits: Self-Influence as a Key to Model Reasoning. | Lin Zhang, Lijie Hu, Di Wang |
| 2025 | PAKDD | SMoA: Improving Multi-agent Large Language Models with Sparse Mixture-of-Agents. | Dawei Li, Zhen Tan, Peijia Qian, Yifan Li, Kumar Satvik Chaudhary, Lijie Hu, Jiayi Shen |
| 2025 | WCNC | Soft Decoders for Various Ambient IoT Receivers in FEC-Miller Concatenated Coding System. | Xiaodong Shen, Rujing Shen, Lei Xia, Lijie Hu, Nan Hu, Haiyu Ding |
| 2024 | EACL | Differentially Private Natural Language Models: Recent Advances and Future Directions. | Lijie Hu, Ivan Habernal, Lei Shen, Di Wang |
| 2024 | EMNLP | Dissecting Fine-Tuning Unlearning in Large Language Models. | Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang |
| 2024 | EMNLP | Private Language Models via Truncated Laplacian Mechanism. | Tianhao Huang, Tao Yang, Ivan Habernal, Lijie Hu, Di Wang |
| 2024 | EMNLP | UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause. | Guimin Hu, Zhihong Zhu, Daniel Hershcovich, Lijie Hu, Hasti Seifi, Jiayuan Xie |
| 2024 | ICLR | Faithful Vision-Language Interpretation via Concept Bottleneck Models. | Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-quille, Di Wang |
| 2024 | ICML | Improving Interpretation Faithfulness for Vision Transformers. | Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang |
| 2023 | AAAI | SEAT: Stable and Explainable Attention. | Lijie Hu, Yixin Liu, Ninghao Liu, Mengdi Huai, Lichao Sun, Di Wang |
| 2023 | AISTATS | Privacy-preserving Sparse Generalized Eigenvalue Problem. | Lijie Hu, Zihang Xiang, Jiabin Liu, Di Wang |
| 2023 | ECAI | Finite Sample Guarantees of Differentially Private Expectation Maximization Algorithm. | Di Wang, Jiahao Ding, Lijie Hu, Zejun Xie, Miao Pan, Jinhui Xu |
| 2022 | ALT | Faster Rates of Private Stochastic Convex Optimization. | Jinyan Su, Lijie Hu, Di Wang |
| 2022 | PODS | High Dimensional Differentially Private Stochastic Optimization with Heavy-tailed Data. | Lijie Hu, Shuo Ni, Hanshen Xiao, Di Wang |
| 2015 | PIMRC | Practical pilot contamination modelling and reduction in TDD 3D-MIMO systems. | Jing Jin, Hui Tong, Fei Wang, Lijie Hu, Xueying Hou, Qixing Wang, Guangyi Liu |