Aug. 2025, GEM: A Gym for Generalist LLMs, Open-Source Project.
Apr. 2025, Efficient Process Reward Model Training via Active Learning, COLM 2025.
Mar. 2025, Unnatural Language Are Not Bugs but Features for LLMs, ICML 2025.
Aug. 2024, Logical Reasoning with Relation Network for Inductive Knowledge Graph Completion, KDD 2024.
Aug. 2023, SimTeG: A Frustratingly Simple Approach Improves Textual Graph Learning, Preprint.
Jan. 2023, Hierarchy-Aware Multi-Hop Question Answering over Knowledge Graphs, The ACM Web Conference (WWW).
Sep. 2022, A Comprehensive Study on Large-scale Graph Training: Benchmarking and Rethinking, NeurIPS 2022 track on Dataset and Benchmark.
Aug. 2022, Contrastive Knowledge Graph Error Detection, CIKM 2022.
Jun. 2022, Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).
Mar. 2020, A Comprehensive Survey on Transfer Learning, Proceedings of the IEEE.
Background
Research interests: LLM post-training, reasoning, and building generalist agentic AI.
Miscellany
In the job market and actively seeking opportunities. If you are interested in collaborating or have any potential openings, please feel free to reach out!