Hu, Mengxuan

11 publications

ICML 2025 BalancEdit: Dynamically Balancing the Generality-Locality Trade-Off in Multi-Modal Model Editing Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li

ICML 2025 Benign Samples Matter! Fine-Tuning on Outlier Benign Samples Severely Breaks Safety Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti

NeurIPS 2025 Improve Temporal Reasoning in Multimodal Large Language Models via Video Contrastive Decoding Daiqing Qi, Dongliang Guo, Hanzhang Yuan, Handong Zhao, Mengxuan Hu, Lehan Yang, Sheng Li

IJCAI 2025 Large Language Models for Causal Discovery: Current Landscape and Future Directions Guangya Wan, Yunsheng Lu, Yuqi Wu, Mengxuan Hu, Sheng Li

ICLR 2025 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 Vullikanti, Sheng Li

CVPR 2025 Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li

AAAI 2025 UFID: A Unified Framework for Black-Box Input-Level Backdoor Detection on Diffusion Models Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar S. Vullikanti

TMLR 2024 BBCaL: Black-Box Backdoor Detection Under the Causality Lens Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li

AAAI 2024 BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract) Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu

TMLR 2024 DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation Mengxuan Hu, Zhixuan Chu, Sheng Li

AAAI 2024 Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li