Ensemble Learning for Graph Neural Networks. - Zhen Hao Wong; Ling Yue; Quanming Yao (CoRR, 2023)

Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks. - Zhen Hao Wong; Hansi Yang; Xiaoyi Fu; Quanming Yao (CoRR, 2024)

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Jiahui Peng; Xinlin Zhuang; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (CoRR, 2024)

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration. - Tianyi Bai; Ling Yang 006; Zhen Hao Wong; Fupeng Sun; Xinlin Zhuang; Jiahui Peng; Chi Zhang; Lijun Wu; Jiantao Qiu; Wentao Zhang 001; Binhang Yuan; Conghui He (ACL (1), 2025)

Let's Verify Math Questions Step by Step. - Chengyu Shen; Zhen Hao Wong; Runming He; Hao Liang; Meiyi Qiang; Zimo Meng; Zhengyang Zhao; Bohan Zeng; Zhengzhou Zhu; Bin Cui 001; Wentao Zhang 001 (CoRR, 2025)

LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning. - Zhen Hao Wong; Jingwen Deng; Runming He; Zirong Chen; Qijie You; Hejun Dong; Hao Liang; Chengyu Shen; Bin Cui 001; Wentao Zhang 001 (CoRR, 2025)

Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions. - Lu Ma; Hao Liang; Meiyi Qiang; Lexiang Tang; Xiaochen Ma; Zhen Hao Wong; Junbo Niu; Chengyu Shen; Runming He; Bin Cui 001; Wentao Zhang 001 (CoRR, 2025)