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Author

Zhen Hao Wong

Observed name: Wong, Zhen Hao
Institution: Peking University
ORCID: 0009-0009-1757-5322
Observed ORCID: 0009-0009-1757-5322
OpenAlex ID: A5093123138
Let's Verify Math Questions Step by Step
2026 · Chengyu Shen, Zhen Hao Wong, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2
Data-Centric Perspectives on Agentic Retrieval-Augmented Generation: A Survey
2026 · Jingwen Deng, Jihao Huang, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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Data Preparation for Large Language Models
2026 · Hao Liang, Zhen Hao Wong, et al. · Journal of Computer Science and Technology · 1
AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG
2026 · Qijie You, Wenkai Yu, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
2025 · Tianyi Bai, Ling Yang, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 1
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RayOrch: Programming and Executing Lineage-Controlled Multi-Grain Dataflows for Foundation-Model Data Preparation
2026 · Ma, Xiaochen, Meng, Zimo, et al. · arXiv (Cornell University)
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DataFlow-Harness: A Grounded Code-Agent Platform for Constructing Editable LLM Data Pipelines
2026 · He, Runming, Wong, Zhen Hao, et al. · arXiv (Cornell University)
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OmniaBench: Benchmarking General AI Agents Across Diverse Scenarios
2026 · Shen, Chengyu, Fu, Yujie, et al. · arXiv (Cornell University)
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K12-KGraph: A Curriculum-Aligned Knowledge Graph for Benchmarking and Training Educational LLMs
2026 · Liang, Hao, Lin, Qihan, et al. · arXiv (Cornell University)
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DataFlex: A Unified Framework for Data-Centric Dynamic Training of Large Language Models
2026 · Liang, Hao, Zhao, Zhengyang, et al. · arXiv (Cornell University)
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One-Eval: An Agentic System for Automated and Traceable LLM Evaluation
2026 · Shen, Chengyu, Hou, Yanheng, et al. · arXiv (Cornell University)
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Robust heterogeneous network representation learning by multifaceted curriculum training
2025 · Zhen Hao Wong, Hansi Yang, et al. · Neural Networks
FlipVQA: Scaling Multi-modal Instruction Tuning via Textbook-to-Knowledge Synthesis
2025 · Wong, Zhen Hao, Deng, Jingwen, et al. · arXiv (Cornell University)
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Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
2025 · Ma, Lu, Liang, Hao, et al. · arXiv (Cornell University)
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LogicPuzzleRL: Cultivating Robust Mathematical Reasoning in LLMs via Reinforcement Learning
2025 · Wong, Zhen Hao, Deng, Jingwen, et al. · arXiv (Cornell University)
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Multi-Difficulty Measure Curriculum Learning for Heterogeneous Graphs with Noise
2025 · Zhen Hao Wong, Hansi Yang, et al. · SSRN Electronic Journal
Loss-aware Curriculum Learning for Heterogeneous Graph Neural Networks
2024 · Wong, Zhen Hao, Yang, Hansi, et al. · arXiv (Cornell University)
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Ensemble Learning for Graph Neural Networks
2023 · Wong, Zhen Hao, Yue, Ling, et al. · arXiv (Cornell University)
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Works count: 18
Citation count: 6
H-index: 1
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