Haoxin Liu

According to our database, Haoxin Liu authored at least 17 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Rethinking Post-Training Recipes for Multimodal Time-Series Forecasting.

Haoxin Liu, Yichen Zhou, Rajat Sen, B. Aditya Prakash, Abhimanyu Das

CoRR, May, 2026

UniSD: Towards a Unified Self-Distillation Framework for Large Language Models.

Yiqiao Jin, Yiyang Wang, Lucheng Fu, Yijia Xiao, Yinyi Luo, Haoxin Liu, B. Aditya Prakash, Josiah D. Hester, Jindong Wang, Srijan Kumar

CoRR, May, 2026

Seeking Universal Shot Language Understanding Solutions.

Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Hongjie Chen, B. Aditya Prakash

CoRR, March, 2026

2025

Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift.

Zhiyuan Zhao, Haoxin Liu, B. Aditya Prakash

CoRR, October, 2025

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

CoRR, September, 2025

TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness.

Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash

CoRR, June, 2025

How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook.

Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Shangqing Xu, Shiyu Wang, Qingsong Wen, Tom Hartvigsen, Fei Wang, B. Aditya Prakash

CoRR, March, 2025

Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights.

Haoxin Liu, Zhiyuan Zhao, Shiduo Li, B. Aditya Prakash

CoRR, March, 2025

A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization.

Haoxin Liu, Chenghao Liu, B. Aditya Prakash

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Performative Time-Series Forecasting.

Zhiyuan Zhao, Haoxin Liu, Alexander Rodríguez, B. Aditya Prakash

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks.

Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

TSI-Bench: Benchmarking Time Series Imputation.

Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen

CoRR, 2024

Time-MMD: A New 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

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Forty-first International Conference on Machine Learning, 2024

LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting.

Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering.

Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023