Publications

You can also find my articles on my Google Scholar profile.

Do More Modalities Always Help? A Geometric Perspective on Missing-Modality Robustness

Under review at Annual Conference on Neural Information Processing Systems (NeurIPS 2026)

Songyuan Sui, Zhen Tan, Mohan Zhang, Rana Muhammad Shahroz Khan, Xia Hu, Tianlong Chen.

ASSET: Acquisition-Sensitive Subspace Estimation for Test-Time Adaptation of Medical VLMs

Under review at Annual Conference on Neural Information Processing Systems (NeurIPS 2026)

Maohan Zhang, Zhen Tan, Songyuan Sui, Tianlong Chen.

CAST: Context- and Anomaly Structure-Conditioned Time Series Anomaly Generation

Under review at Annual Conference on Neural Information Processing Systems (NeurIPS 2026)

Haochen Zhang, Jie Peng, Songyuan Sui, Yuchao Huang, Xiangqi Zhu, Tianlong Chen.

ECLAD: An Edge-Cloud Collaborative Agentic Framework for Interpretable Anomaly Detection in Predictive Maintenance

Accepted at ACM Web Conference (WWW 2026)

Songyuan Sui, Zhanqi Deng, Yamin Zhuang, Serena Liu, Leisheng Yu, Alfredo Costilla Reyes, Xia Hu.

Training-Free Time Series Classification via In-Context Reasoning with LLM Agents

Under review at ACM International Conference on Web Search and Data Mining (WSDM 2027)

Songyuan Sui, Zihang Xu, Xia Hu.

Chain-of-Query: Unleashing the Power of LLMs in SQL-Aided Table Understanding via Multi-Agent Collaboration

Accepted at Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL 2025 Main Conference, Oral Presentation)

Songyuan Sui, Hongyi Liu, Serena Liu, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu.

LTSM-Bundle: A Toolbox and Benchmark on Large Language Models for Time Series Forecasting

Accepted at ACM SIGKDD Explorations Newsletter (SIGKDD Explor. 2025)

Yu-Neng Chuang, Songchen Li, Jiayi Yuan, Guanchu Wang, Kwei-Herng Lai, Songyuan Sui, Leisheng Yu, Sirui Ding, Chia-Yuan Chang, Alfredo Costilla Reyes, Daochen Zha, Xia Hu.

Unleashing SmartNIC Packet Processing Performance in P4

Accepted at Annual Conference of the ACM Special Interest Group on Data Communication (ACM SIGCOMM 2023)

Jiarong Xing, Yiming Qiu, Kuo-Feng Hsu, Songyuan Sui, Khalid Manaa, Omer Shabtai, Yonatan Piasetzky, Matty Kadosh, Arvind Krishnamurthy, T. S. Eugene Ng, Ang Chen.