| 2026 | ACL | Reducing Token Redundancy in LVLMs: A Systematic Review of Token Pruning Methods. | Hanzhang Yuan, Mengxuan Hu, Wenhao Zhang, Tianlong Wang, Zhongliang Zhou, Jiasen Lu, Sheng Li |
| 2025 | AAAI | UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models. | Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar S. Vullikanti |
| 2025 | CIKM | Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. | Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li |
| 2025 | CVPR | Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety. | Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li |
| 2025 | EMNLP | No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. | Mengxuan Hu, Hongyi Wu, Ronghang Zhu, Zihan Guan, Dongliang Guo, Daiqing Qi, Sheng Li |
| 2025 | ICLR | Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data. | Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar S. Vullikanti, Sheng Li |
| 2025 | ICML | Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. | Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti |
| 2025 | ICML | BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing. | Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li |
| 2025 | IJCAI | Large Language Models for Causal Discovery: Current Landscape and Future Directions. | Guangya Wan, Yunsheng Lu, Yuqi Wu, Mengxuan Hu, Sheng Li |
| 2024 | AAAI | BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). | Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu |
| 2024 | AAAI | Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. | Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li |
| 2024 | KDD | Causal Inference with Latent Variables: Recent Advances and Future Prospectives. | Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li |
| 2024 | SIGIR | Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. | Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai |
| 2023 | MICCAI | Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. | Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Dez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li |