Mengxuan Hu

According to our database, Mengxuan Hu authored at least 23 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety.

Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti

CoRR, May, 2025

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.

Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li

CoRR, May, 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 S. Vullikanti, Sheng Li

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety.

Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation.

Mengxuan Hu, Zhixuan Chu, Sheng Li

Trans. Mach. Learn. Res., 2024

BBCaL: Black-box Backdoor Detection under the Causality Lens.

Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li

Trans. Mach. Learn. Res., 2024

Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education.

Huibo Yang, Mengxuan Hu, Amoreena Most, W. Anthony Hawkins, Brian Murray, Susan E. Smith, Sheng Li, Andrea Sikora

Frontiers Artif. Intell., 2024

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

CoRR, 2024

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.

Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li

CoRR, 2024

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models.

Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti

CoRR, 2024

Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions.

Guangya Wan, Yuqi Wu, Mengxuan Hu, Zhixuan Chu, Sheng Li

CoRR, 2024

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

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Causal Inference with Latent Variables: Recent Advances and Future Prospectives.

Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.

Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Mengxuan Hu, Zihan Guan, Sheng Li, Lan Mu

Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2024

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction.

Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract).

Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications.

Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li

CoRR, 2023

PharmacyGPT: The AI Pharmacist.

Zhengliang Liu, Zihao Wu, Mengxuan Hu, Bokai Zhao, Lin Zhao, Tianyi Zhang, Haixing Dai, Xianyan Chen, Ye Shen, Sheng Li, Brian Murray, Tianming Liu, Andrea Sikora

CoRR, 2023

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.

Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li

CoRR, 2023

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks.

Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu

CoRR, 2023

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.

Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng Li

CoRR, 2023

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.

Haixing Dai, Mengxuan Hu, Qing Li, Lu Zhang, Lin Zhao, Dajiang Zhu, Ibai Díez, Jorge Sepulcre, Fan Zhang, Xingyu Gao, Manhua Liu, Quanzheng Li, Sheng Li, Tianming Liu, Xiang Li

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023