Zhen Hao Wong

According to our database, Zhen Hao Wong authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

FLARE: Full-Modality Long-Video Audiovisual Retrieval Benchmark with User-Simulated Queries.

Qijie You, Hao Liang, Mingrui Chen, Bohan Zeng, Meiyi Qiang, Zhen Hao Wong, Wentao Zhang

CoRR, May, 2026

K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs.

Hao Liang, Qihan Lin, Zhaoyang Han, Xiaochen Ma, Zhen Hao Wong, Meiyi Qiang, Linzhuang Sun, Wentao Zhang

CoRR, May, 2026

DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models.

Hao Liang, Zhengyang Zhao, Meiyi Qiang, Mingrui Chen, Lu Ma, Rongyi Yu, Hengyi Feng, Shixuan Sun, Zimo Meng, Xiaochen Ma, Xuanlin Yang, Qifeng Cai, Ruichuan An, Bohan Zeng, Zhen Hao Wong, Chengyu Shen, Runming He, Zhaoyang Han, Yaowei Zheng, Fangcheng Fu, Conghui He, Bin Cui, Zhiyu Li, Weinan E, Wentao Zhang

CoRR, March, 2026

One-Eval: An Agentic System for Automated and Traceable LLM Evaluation.

Chengyu Shen, Yanheng Hou, Minghui Pan, Runming He, Zhen Hao Wong, Meiyi Qiang, Zhou Liu, Hao Liang, Peichao Lai, Zeang Sheng, Wentao Zhang

CoRR, March, 2026

Data Preparation for Large Language Models.

Hao Liang, Zhen Hao Wong, Rui-Tong Liu, Yu-Han Wang, Meiyi Qiang, Zhengyang Zhao, Chengyu Shen, Conghui He, Wentao Zhang, Bin Cui

J. Comput. Sci. Technol., January, 2026

Robust heterogeneous network representation learning by multifaceted curriculum training.

Zhen Hao Wong, Hansi Yang, Quanming Yao, Yaqing Wang

Neural Networks, 2026

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, Wentao Zhang

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

DataFlow: An LLM-Driven Framework for Unified Data Preparation and Workflow Automation in the Era of Data-Centric AI.

Hao Liang, Xiaochen Ma, Zhou Liu, Zhen Hao Wong, Zhengyang Zhao, Zimo Meng, Runming He, Chengyu Shen, Qifeng Cai, Zhaoyang Han, Meiyi Qiang, Yalin Feng, Tianyi Bai, Zewei Pan, Ziyi Guo, Yizhen Jiang, Jingwen Deng, Qijie You, Peichao Lai, Tianyu Guo, Chi Hsu Tsai, Hengyi Feng, Rui Hu, Wenkai Yu, Junbo Niu, Bohan Zeng, Ruichuan An, Lu Ma, Jihao Huang, Yaowei Zheng, Conghui He, Linpeng Tang, Bin Cui, Weinan E, Wentao Zhang

CoRR, December, 2025

FlipVQA-Miner: Cross-Page Visual Question-Answer Mining from Textbooks.

Zhen Hao Wong, Jingwen Deng, Hao Liang, Runming He, Chengyu Shen, Wentao Zhang

CoRR, November, 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, Wentao Zhang

CoRR, June, 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, Wentao Zhang

CoRR, June, 2025

Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Fupeng Sun, Xinlin Zhuang, Jiahui Peng, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Multi-Agent Collaborative Data Selection for Efficient LLM Pretraining.

Tianyi Bai, Ling Yang, Zhen Hao Wong, Jiahui Peng, Xinlin Zhuang, Chi Zhang, Lijun Wu, Jiantao Qiu, Wentao Zhang, Binhang Yuan, Conghui He

CoRR, 2024

Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks.

Zhen Hao Wong, Hansi Yang, Xiaoyi Fu, Quanming Yao

CoRR, 2024

2023

Ensemble Learning for Graph Neural Networks.

Zhen Hao Wong, Ling Yue, Quanming Yao

CoRR, 2023