Liu, Haoxin

6 publications

ICLR 2026 Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang

ICLR 2026 Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift Zhiyuan Zhao, Haoxin Liu, B. Aditya Prakash

ICLR 2026 TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash

NeurIPS 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash

ICML 2024 Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash

CVPR 2022 Towards Unsupervised Domain Generalization Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu