Haoxin Liu

5 papers · 2022–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird

Venues

ACL (1) CVPR (1) ICML (1) NAACL (1) NeurIPS (1)

Top co-authors

B. Aditya Prakash (4) Harshavardhan Kamarthi (3) Zhiyuan Zhao (3) Lingkai Kong (2) Chao Zhang (2) Chenghao Liu (1) Shangqing Xu (1) Qingsong Wen (1) Aditya B. Sasanur (1) Zheyan Shen (1)

Research topics

Artificial Intelligence (4) Machine Learning (4) Core AI (4) Application Areas (3) Learning Types · Machine Learning (3) Data Science & Analytics (2) Deep Learning (2) Learning Types · Deep Learning (2) Methods (2) Natural Language Processing (1) Optimization & Theory (1) Resources & Methods (1)

Keywords

time series forecasting (2) multimodal learning (2) in-context learning (2) prompt engineering (2) domain adaptation (2) large language model (2) data integration (1) model pretraining (1) out-of-distribution generalization (1) modality alignment (1) surrogate loss (1) invariant learning (1) environment inference (1) textual data (1) textual series data (1) numerical series data (1) time series reasoning (1) textual series (1) multi-head network (1) time series analysis (1)

Papers

A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization NAACL 2025 LSTPrompt: Large Language Models as Zero-Shot Time Series Forecasters by Long-Short-Term Prompting ACL 2024 Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NeurIPS 2024 Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning ICML 2024 Towards Unsupervised Domain Generalization CVPR 2022