Haoxin Liu - RankMe

19 papers A* 2A 1Journal 12Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks. CoRR Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash
2026	J	`jnl`	Seeking Universal Shot Language Understanding Solutions. CoRR Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Hongjie Chen, B. Aditya Prakash
2025	—	`conf`	A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. NAACL (Long Papers) Haoxin Liu, Chenghao Liu, B. Aditya Prakash
2025	J	`jnl`	Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE. CoRR 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
2025	J	`jnl`	Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights. CoRR Haoxin Liu, Zhiyuan Zhao, Shiduo Li, B. Aditya Prakash
2025	J	`jnl`	How Can Time Series Analysis Benefit From Multiple Modalities? A Survey and Outlook. CoRR Haoxin Liu, Harshavardhan Kamarthi, Zhiyuan Zhao, Shangqing Xu, Shiyu Wang, Qingsong Wen, Tom Hartvigsen, Fei Wang, B. Aditya Prakash
2025	A	`conf`	In-context Pre-trained Time-Series Foundation Models adapt to Unseen Tasks. CIKM Shangqing Xu, Harshavardhan Kamarthi, Haoxin Liu, B. Aditya Prakash
2025	—	`conf`	Performative Time-Series Forecasting. KDD (2) Zhiyuan Zhao, Haoxin Liu, Alexander Rodríguez, B. Aditya Prakash
2025	J	`jnl`	Tackling Time-Series Forecasting Generalization via Mitigating Concept Drift. CoRR Zhiyuan Zhao, Haoxin Liu, B. Aditya Prakash
2025	J	`jnl`	TimeRecipe: A Time-Series Forecasting Recipe via Benchmarking Module Level Effectiveness. CoRR Zhiyuan Zhao, Juntong Ni, Shangqing Xu, Haoxin Liu, Wei Jin, B. Aditya Prakash
2024	J	`jnl`	A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization. CoRR Haoxin Liu, Chenghao Liu, B. Aditya Prakash
2024	—	`conf`	LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. ACL (Findings) Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash
2024	J	`jnl`	LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting. CoRR Haoxin Liu, Zhiyuan Zhao, Jindong Wang, Harshavardhan Kamarthi, B. Aditya Prakash
2024	J	`jnl`	TSI-Bench: Benchmarking Time Series Imputation. CoRR 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
2024	J	`jnl`	Time-MMD: A New Multi-Domain Multimodal Dataset for Time Series Analysis. CoRR Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2024	A*	`conf`	Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis. NeurIPS Haoxin Liu, Shangqing Xu, Zhiyuan Zhao, Lingkai Kong, Harshavardhan Kamarthi, Aditya B. Sasanur, Megha Sharma, Jiaming Cui, Qingsong Wen, Chao Zhang, B. Aditya Prakash
2024	A*	`conf`	Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. ICML Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash
2024	J	`jnl`	Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning. CoRR Haoxin Liu, Harshavardhan Kamarthi, Lingkai Kong, Zhiyuan Zhao, Chao Zhang, B. Aditya Prakash
2023	—	`conf`	HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. WWW (Companion Volume) Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang