Yue Zhao
Avatar of Yue Zhao
Assistant Professor
Thomas Lord Department of Computer Science
School of Advanced Computing

University of Southern California

Los Angeles, CA, USA
Email:

🍭 Recent Publications (2021-)

See my Google Scholar, DBLP, ORCID, and ResearchGate for the full publication list. Equal contribution; Corresponding author


Preprints & Working Papers

[w25c] ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models, with Shixuan Li, Wei Yang, Peiyu Zhang, Xiongye Xiao, Defu Cao, Yuehan Qin, Xiaole Zhang, Yue Zhao, Paul Bogdan. Preprint.

[w25b] From Selection to Generation: A Survey of LLM-based Active Learning, with Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian McAuley. Preprint.

[w25a] AD-LLM: Benchmarking Large Language Models for Anomaly Detection, with Tiankai Yang, Yi Nian, Shawn Li, Ruiyao Xu, Yuangang Li, Jiaqi Li, Xiyang Hu, Ryan Rossi, Kaize Ding, Xia Hu. Preprint.

[w24o] Political-LLM: Large Language Models in Political Science, with Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Yushun Dong. Preprint.

[w24n] Personalized Multimodal Large Language Models: A Survey, with Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehnoosh Mirtahebi, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Jiebo Luo, Julian McAuley. Preprint.

[w24m] NLP-ADBench: NLP Anomaly Detection Benchmark, with Yuangang Li, Jiaqi Li, Zhuo Xiao, Tiankai Yang, Yi Nian, Xiyang Hu. Preprint.

[w24l] H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications, with Jiechao Gao, Yuangang Li, Brad Campbell. Preprint.

[w24k] DrugAgent: Automating AI-aided Drug Discovery Programming through LLM Multi-Agent Collaboration, with Sizhe Liu, Yizhou Lu, Siyu Chen, Xiyang Hu, Tianfan Fu. Accepted to 2025 AAAI Workshop on Foundation Models for Biological Discoveries (FMs4Bio) Preprint.

[w24j] Edit Away and My Face Will Not Stay: Personal Biometric Defense against Malicious Generative Editing, with Hanhui Wang, Yihua Zhang, Ruizheng Bai, Sijia Liu, Zhengzhong Tu. Preprint.

[w24i] COOD: Concept-based Zero-shot OOD Detection, with Zhendong Liu, Yi Nian, Henry Peng Zou, Li Li, Xiyang Hu. Preprint.

[w24h] DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection, with Shawn Li, Huixian Gong, Hao Dong, Tiankai Yang, Zhengzhong Tu. Preprint.

[w24g] LEGO-Learn: Label-Efficient Graph Open-Set Learning, with Haoyan Xu, Kay Liu, Zhengtao Yao, Philip S. Yu, Kaize Ding. Preprint.

[w24f] Towards More Accurate US Presidential Election via Multi-step Reasoning with Large Language Models, with Chenxiao Yu, Zhaotian Weng, Zheng Li, Xiyang Hu. SSRN Top Download Papers for Decision Science. Preprint.

[w24e] DeepProtein: Deep Learning Library and Benchmark for Protein Sequence Learning, with Jiaqing Xie and Tianfan Fu. Accepted to 2024 NeurIPS Workshop on AI for New Drug Modalities. Spotlight Paper. Preprint.

[w24d] Artificial Intelligence-Aided Digital Twin Design: A Systematic Review, with Nan Hao, Yuangang Li, Kecheng Liu, Yingzhou Lu, Bohao Xu, Chenhao Li, Jintai Chen, Ling Yue, Tianfan Fu, Xiyang Hu, Xiao Wang. Preprint.

[w24c] GKAN: Graph Kolmogorov-Arnold Networks, with Mehrdad Kiamari, Mohammad Kiamari, Bhaskar Krishnamachari. Preprint.


Conference Papers

Journal Papers