Mengxuan Hu

35 papers A* 10A 1Journal 21Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment.
CoRR
Mengxuan Hu, Vivek V. Datla, Anoop Kumar, Zihan Guan, Sheng Li, Alfy Samuel, Daben Liu
2026 J jnl
Enhanced Diagnostic Performance via Large-Resolution Inference Optimization for Pathology Foundation Models.
CoRR
Mengxuan Hu, Zihan Guan, John Kang, Sheng Li, Zhongliang Zhou
2026 J jnl
NIMMGen: Learning Neural-Integrated Mechanistic Digital Twins with LLMs.
CoRR
Zihan Guan, Rituparna Datta, Mengxuan Hu, Shunshun Liu, Aiying Zhang, Prasanna Balachandran, Sheng Li, Anil Vullikanti
2025 J jnl
BEACON: Bayesian Optimal Stopping for Efficient LLM Sampling.
CoRR
Guangya Wan, Zixin Stephen Xu, Sasa Zorc, Manel Baucells, Mengxuan Hu, Hao Wang, Sheng Li
2025 A conf
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.
CIKM
Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
2025 A* conf
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.
ICML
Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li
2025 J jnl
BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing.
CoRR
Dongliang Guo, Mengxuan Hu, Zihan Guan, Thomas Hartvigsen, Sheng Li
2025 A* conf
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety.
ICML
Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti
2025 J jnl
Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety.
CoRR
Zihan Guan, Mengxuan Hu, Ronghang Zhu, Sheng Li, Anil Vullikanti
2025 A* conf
Large Language Models for Causal Discovery: Current Landscape and Future Directions.
IJCAI
Guangya Wan, Yunsheng Lu, Yuqi Wu, Mengxuan Hu, Sheng Li
2025 A* conf
Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data.
ICLR
Mengxuan Hu, Zihan Guan, Yi Zeng, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Ruoxi Jia, Anil Kumar S. Vullikanti, Sheng Li
2025 — conf
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.
EMNLP (Findings)
Mengxuan Hu, Hongyi Wu, Ronghang Zhu, Zihan Guan, Dongliang Guo, Daiqing Qi, Sheng Li
2025 A* conf
Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety.
CVPR
Ronghang Zhu, Mengxuan Hu, Weiming Zhuang, Lingjuan Lyu, Xiang Yu, Sheng Li
2025 A* conf
UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models.
AAAI
Zihan Guan, Mengxuan Hu, Sheng Li, Anil Kumar S. Vullikanti
2024 J jnl
BBCaL: Black-box Backdoor Detection under the Causality Lens.
Trans. Mach. Learn. Res.
Mengxuan Hu, Zihan Guan, Junfeng Guo, Zhongliang Zhou, Jielu Zhang, Sheng Li
2024 J jnl
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.
CoRR
Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li
2024 A* conf
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract).
AAAI
Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu
2024 J jnl
Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions.
CoRR
Guangya Wan, Yuqi Wu, Mengxuan Hu, Zhixuan Chu, Sheng Li
2024 A* conf
Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
KDD
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024 J jnl
Causal Inference with Latent Variables: Recent Advances and Future Prospectives.
CoRR
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
2024 J jnl
DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation.
Trans. Mach. Learn. Res.
Mengxuan Hu, Zhixuan Chu, Sheng Li
2024 J jnl
Evaluating accuracy and reproducibility of large language model performance on critical care assessments in pharmacy education.
Frontiers Artif. Intell.
Huibo Yang, Mengxuan Hu, Amoreena Most, W. Anthony Hawkins, Brian Murray, Susan E. Smith, Sheng Li, Andrea Sikora
2024 A* conf
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.
SIGIR
Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai
2024 J jnl
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.
CoRR
Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai
2024 J jnl
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.
CoRR
Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li
2024 A* conf
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction.
AAAI
Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
2024 — conf
Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.
GeoAI@SIGSPATIAL
Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Mengxuan Hu, Zihan Guan, Sheng Li, Lan Mu
2024 J jnl
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models.
CoRR
Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti
2023 J jnl
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks.
CoRR
Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu
2023 — conf
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.
MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI
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
2023 J jnl
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.
CoRR
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
2023 J jnl
PharmacyGPT: The AI Pharmacist.
CoRR
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
2023 J jnl
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction.
CoRR
Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
2023 J jnl
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.
CoRR
Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng Li
2023 J jnl
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications.
CoRR
Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li