Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. - Haixing Dai; Mengxuan Hu; Qing Li 027; Lu Zhang 050; Lin Zhao 004; Dajiang Zhu; Ibai Díez; Jorge Sepulcre; Fan Zhang; Xingyu Gao; Manhua Liu; Quanzheng Li; et al. (MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI, 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 001 (CoRR, 2023)

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks. - Zihan Guan 001; Mengxuan Hu; Zhongliang Zhou; Jielu Zhang; Sheng Li 001; Ninghao Liu (CoRR, 2023)

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. - Haixing Dai; Mengxuan Hu; Qing Li 027; Lu Zhang 050; Lin Zhao 004; Dajiang Zhu; Ibai Díez; Jorge Sepulcre; Fan Zhang; Xingyu Gao; Manhua Liu; Quanzheng Li; et al. (CoRR, 2023)

PharmacyGPT: The AI Pharmacist. - Zhengliang Liu; Zihao Wu 001; Mengxuan Hu; Bokai Zhao; Lin Zhao 004; Tianyi Zhang; Haixing Dai; Xianyan Chen; Ye Shen; Sheng Li 001; Brian Murray; Tianming Liu 001; et al. (CoRR, 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 002; Jielu Zhang; Natarajan Kannan; Sheng Li 001 (CoRR, 2023)

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). - Zihan Guan 001; Mengxuan Hu; Zhongliang Zhou; Jielu Zhang; Sheng Li 001; Ninghao Liu (AAAI, 2024)

Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. - Zhixuan Chu; Mengxuan Hu; Qing Cui; Longfei Li; Sheng Li 001 (AAAI, 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 001; Sheng Li 001; Lan Mu (GeoAI@SIGSPATIAL, 2024)

Causal Inference with Latent Variables: Recent Advances and Future Prospectives. - Yaochen Zhu; Yinhan He; Jing Ma 002; Mengxuan Hu; Sheng Li 001; Jundong Li (KDD, 2024)

Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. - Zhongliang Zhou; Jielu Zhang; Zihan Guan 001; Mengxuan Hu; Ni Lao; Lan Mu; Sheng Li 001; Gengchen Mai (SIGIR, 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 001 (CoRR, 2024)

UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. - Zihan Guan 001; Mengxuan Hu; Sheng Li 001; Anil Vullikanti (CoRR, 2024)

No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. - Mengxuan Hu; Hongyi Wu; Zihan Guan 001; Ronghang Zhu; Dongliang Guo 002; Daiqing Qi; Sheng Li 001 (CoRR, 2024)

Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. - Dongliang Guo 002; Mengxuan Hu; Zihan Guan 001; Junfeng Guo; Thomas Hartvigsen; Sheng Li 001 (CoRR, 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 001; Andrea Sikora (Frontiers Artif. Intell., 2024)

BBCaL: Black-box Backdoor Detection under the Causality Lens. - Mengxuan Hu; Zihan Guan 001; Junfeng Guo; Zhongliang Zhou; Jielu Zhang; Sheng Li 001 (Trans. Mach. Learn. Res., 2024)

DTRNet: Precisely Correcting Selection Bias in Individual-Level Continuous Treatment Effect Estimation by Reweighted Disentangled Representation. - Mengxuan Hu; Zhixuan Chu; Sheng Li 001 (Trans. Mach. Learn. Res., 2024)

UFID: A Unified Framework for Black-box Input-level Backdoor Detection on Diffusion Models. - Zihan Guan 001; Mengxuan Hu; Sheng Li 001; Anil Kumar S. Vullikanti (AAAI, 2025)

Revisiting Source-Free Domain Adaptation: Insights into Representativeness, Generalization, and Variety. - Ronghang Zhu; Mengxuan Hu; Weiming Zhuang; Lingjuan Lyu; Xiang Yu 002; Sheng Li 001 (CVPR, 2025)

Mind Control through Causal Inference: Predicting Clean Images from Poisoned Data. - Mengxuan Hu; Zihan Guan 001; Yi Zeng 005; Junfeng Guo; Zhongliang Zhou; Jielu Zhang; Ruoxi Jia 001; Anil Kumar S. Vullikanti; Sheng Li 001 (ICLR, 2025)

BalancEdit: Dynamically Balancing the Generality-Locality Trade-off in Multi-modal Model Editing. - Dongliang Guo 002; Mengxuan Hu; Zihan Guan 001; Thomas Hartvigsen; Sheng Li 001 (CoRR, 2025)

Benign Samples Matter! Fine-tuning On Outlier Benign Samples Severely Breaks Safety. - Zihan Guan 001; Mengxuan Hu; Ronghang Zhu; Sheng Li 001; Anil Vullikanti (CoRR, 2025)