Resume
Academic Achievements
- 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!