Mengxuan Hu

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 15

Top Topics

Diffusion Models

Causal Inference

Security Vulnerabilities

Disease Progression

Top Venues

MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI

Publications

Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR (2024)
Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. CoRR (2024)
Guangya Wan, Yuqi Wu, Mengxuan Hu, Zhixuan Chu, Sheng Li
Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions. CoRR (2024)
Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. AAAI (2024)
Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. CoRR (2024)
Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, Gengchen Mai
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation. SIGIR (2024)
Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract). AAAI (2024)
Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD (2024)
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
PharmacyGPT: The AI Pharmacist. CoRR (2023)
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
Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference. CoRR (2023)
Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. CoRR (2023)
Jielu Zhang, Zhongliang Zhou, Gengchen Mai, Lan Mu, Mengxuan Hu, Sheng Li
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. CoRR (2023)
Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks. CoRR (2023)
Zhongliang Zhou, Mengxuan Hu, Mariah Salcedo, Nathan Gravel, Wayland Yeung, Aarya Venkat, Dongliang Guo, Jielu Zhang, Natarajan Kannan, Sheng Li
XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications. CoRR (2023)
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
Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI (2023)