Zihan Guan

According to our database, Zihan Guan authored at least 25 papers between 2023 and 2026.

Collaborative distances:

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

2026

Large Language Models Lack Temporal Awareness of Medical Knowledge.

Zihan Guan, Qiao Jin, Guangzhi Xiong, Fangyuan Chen, Mengxuan Hu, Qingyu Chen, Yifan Peng, Zhiyong Lu, Anil Vullikanti

CoRR, May, 2026

Alignment-Weighted DPO: A principled reasoning approach to improve safety alignment.

Mengxuan Hu, Vivek V. Datla, Anoop Kumar, Zihan Guan, Sheng Li, Alfy Samuel, Daben Liu

CoRR, February, 2026

NIMMGen: Learning Neural-Integrated Mechanistic Digital Twins with LLMs.

Zihan Guan, Rituparna Datta, Mengxuan Hu, Shunshun Liu, Aiying Zhang, Prasanna Balachandran, Sheng Li, Anil Vullikanti

CoRR, February, 2026

Agentic Framework for Epidemiological Modeling.

Rituparna Datta, Zihan Guan, Baltazar Espinoza, Yiqi Su, Priya Pitre, Srinivasan Venkatramanan, Naren Ramakrishnan, Anil Vullikanti

CoRR, February, 2026

Enhanced Diagnostic Performance Via Large-Resolution Inference Optimization for Pathology Foundation Models.

Mengxuan Hu, Zihan Guan, John Kang, Sheng Li, Zhongliang Zhou

Proceedings of the 23rd IEEE International Symposium on Biomedical Imaging, 2026

2025

Improving Hospital Risk Prediction with Knowledge-Augmented Multimodal EHR Modeling.

Rituparna Datta, Jiaming Cui, Zihan Guan, Vishal G. Reddy, Joshua C. Eby, Gregory Madden, Rupesh Silwal, Anil Vullikanti

CoRR, August, 2025

A Framework for Multi-source Privacy Preserving Epidemic Analysis.

Zihan Guan, Zhiyuan Zhao, Fengwei Tian, Dung Nguyen, Payel Bhattacharjee, Ravi Tandon, B. Aditya Prakash, Anil Vullikanti

CoRR, June, 2025

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

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

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

Proceedings of the Forty-second International Conference on Machine Learning, 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

PharmaData-Agent: A Specialized Agent for Pharmaceutical Data Analysis.

Zihan Guan, Hanyin Wang, Zhongliang Zhou, Qiaohui Zhou, Peining Tao, Junshui Ma

Proceedings of the IEEE International Conference on Data Mining, 2025

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

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 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 Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

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

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

Zihan Guan, Mengxuan Hu, Sheng Li, Anil Vullikanti

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

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

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

CohortGPT: An Enhanced GPT for Participant Recruitment in Clinical Study.

Zihan Guan, Zihao Wu, Zhengliang Liu, Dufan Wu, Hui Ren, Quanzheng Li, Xiang Li, Ninghao Liu

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

Black-box Backdoor Defense via Zero-shot Image Purification.

Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Ninghao Liu

CoRR, 2023

Black-box Backdoor Defense via Zero-shot Image Purification.

Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

XGBD: Explanation-Guided Graph Backdoor Detection.

Zihan Guan, Mengnan Du, Ninghao Liu

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

Attacking Neural Networks with Neural Networks: Towards Deep Synchronization for Backdoor Attacks.

Zihan Guan, Lichao Sun, Mengnan Du, Ninghao Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023