Li, Ting-Wei

7 publications

ICLR 2026 Continual Low-Rank Adapters for LLM-Based Generative Recommender Systems Hyunsik Yoo, Ting-Wei Li, SeongKu Kang, Zhining Liu, Charlie Xu, Qilin Qi, Hanghang Tong

ICLR 2026 Graph Homophily Booster: Reimagining the Role of Discrete Features in Heterophilic Graph Learning Ruizhong Qiu, Ting-Wei Li, Gaotang Li, Hanghang Tong

ICLR 2026 MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik Hamann, Jingrui He

NeurIPS 2025 Graph Data Selection for Domain Adaptation: A Model-Free Approach Ting-Wei Li, Ruizhong Qiu, Hanghang Tong

NeurIPS 2024 $\texttt{dattri}$: A Library for Efficient Data Attribution Junwei Deng, Ting-Wei Li, Shiyuan Zhang, Shixuan Liu, Yijun Pan, Hao Huang, Xinhe Wang, Pingbang Hu, Xingjian Zhang, Jiaqi W. Ma

NeurIPS 2023 A Metadata-Driven Approach to Understand Graph Neural Networks Ting Wei Li, Qiaozhu Mei, Jiaqi Ma

LoG 2022 Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei