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2020 – today
- 2024
[c6]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. AAAI 2024: 11642-11650- [c5]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: 23506-23507 - [c4]Jielu Zhang
, Zhongliang Zhou, Gengchen Mai, Mengxuan Hu, Zihan Guan, Sheng Li, Lan Mu:
Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models. GeoAI@SIGSPATIAL 2024: 63-66 - [c3]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. KDD 2024: 6677-6687 - [c2]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: 2749-2754 - [i12]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 abs/2402.11068 (2024) - [i11]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 abs/2403.19584 (2024) - [i10]Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti:
UFID: A Unified Framework for Input-level Backdoor Detection on Diffusion Models. CoRR abs/2404.01101 (2024) - [i9]Yaochen Zhu, Yinhan He, Jing Ma, Mengxuan Hu, Sheng Li, Jundong Li:
Causal Inference with Latent Variables: Recent Advances and Future Prospectives. CoRR abs/2406.13966 (2024) - [i8]Mengxuan Hu, Hongyi Wu, Zihan Guan, Ronghang Zhu, Dongliang Guo, Daiqing Qi, Sheng Li:
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users. CoRR abs/2410.07589 (2024) - [i7]Dongliang Guo, Mengxuan Hu, Zihan Guan, Junfeng Guo, Thomas Hartvigsen, Sheng Li:
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing. CoRR abs/2410.18267 (2024) - 2023
- [c1]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: 205-213 - [i6]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 abs/2304.10597 (2023) - [i5]Zihan Guan, Mengxuan Hu, Zhongliang Zhou, Jielu Zhang, Sheng Li, Ninghao Liu:
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks. CoRR abs/2305.03289 (2023) - [i4]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 abs/2307.01389 (2023) - [i3]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 abs/2307.10432 (2023) - [i2]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 abs/2312.06082 (2023) - [i1]Zhixuan Chu, Mengxuan Hu, Qing Cui, Longfei Li, Sheng Li:
Task-Driven Causal Feature Distillation: Towards Trustworthy Risk Prediction. CoRR abs/2312.16113 (2023)
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