王泓

王泓

Hong Wang

CodeBuddy / WorkBuddy 模型训练团队

腾讯,中国

邮箱:wanghong1700@gmail.com • wanghong1700@mail.ustc.edu.cn
Google ScholarGithub

我目前在腾讯 CodeBuddy / WorkBuddy 模型训练团队工作,专注于面向代码与推理的大模型后训练。我在中国科学技术大学(USTC)获得博士学位。研究方向包括大模型强化学习、智能体 harness 与 auto research,以及 AI 科学计算(神经算子、基于学习的数值求解器、矩阵计算加速)。欢迎在这些方向上交流与合作。

相关材料: 简历 CV研究 Slides组会 Slides

最新动态

经历

CodeBuddy / WorkBuddy 模型训练团队

腾讯 CodeBuddy / WorkBuddy,深圳,2026.06 - 至今

面向代码与推理的大模型后训练;智能体 harness 与 auto research。

研究实习生(青云计划,CSIG CodeBuddy)

腾讯 CodeBuddy,深圳,2025.05 - 2025.12

面向代码与数学推理的大模型后训练:推理树课程设计、RLVR 中的熵动力学、代码 RL 数据构造。

科研项目:基于低秩分解的相似矩阵快速计算

华为合作项目 编号 TC20211015677,2021.09 - 2022.06

主导从算法设计、理论到实验的完整流程,在真实场景中取得 1.2×–20× 的加速。

教育经历

中国科学技术大学(USTC)

博士,人工智能,信息科学技术学院,2023 - 2026

中国科学技术大学(USTC)

硕士,计算数学,数学科学学院,2021 - 2023

导师:徐宽 教授

中国科学技术大学(USTC)

理论物理学士 & 数学学士(双学位),少年班学院,2017 - 2021

荣誉与奖项

  • 2026 安徽省优秀毕业生 前 ~1%
  • 2026 校级优秀毕业生,USTC 前 ~10%
  • 2025 博士研究生国家奖学金,USTC 前 ~3%
  • 2025 NeurIPS 2025 资助
  • 2024 ICLR 2024 资助
  • 2021 校级优秀毕业生,USTC 前 ~10%

代表性论文

* 共同一作 • 通讯作者 • 完整列表见 Google Scholar

大模型与强化学习

Scheduling Your LLM Reinforcement Learning with Reasoning Trees

Hong Wang*, Zhezheng Hao*, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong†, Jiawei Chen†

ICLR 2026 • arXiv代码腾讯实习工作

Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective 🏆 ACL'26 杰出论文 Oral

Zhezheng Hao*, Hong Wang*, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong†, Qiang Lin, Can Wang, Jiawei Chen†

ACL 2026 • arXiv代码腾讯实习工作

Exploiting Edited Large Language Models as General Scientific Optimizers

Qitan Lv, Tianyu Liu, Hong Wang

NAACL 2025 • arXiv

ReCreate: Reasoning and Creating Domain Agents Driven by Experience

Zhezheng Hao, Hong Wang, Jian Luo, Jianqing Zhang, Yuyan Zhou, Qiang Lin, Can Wang, Hande Dong†, Jiawei Chen†

ACL 2026 • arXiv代码腾讯实习工作

Perturbation-Restrained Sequential Model Editing

Jun-Yu Ma, Hong Wang, Hao-Xiang Xu, Zhen-Hua Ling, Jia-Chen Gu†

ICLR 2025 • arXiv

Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation

Chenxing Wei, Hong Wang, Ying He, Zhongxiang Dai, Bo Jiang, Fei Yu, Yao Shu†

ICML 2026 • arXiv

Energy-Regularized Sequential Model Editing on Hyperspheres

Qingyuan Liu*, Jia-Chen Gu*, Yunzhi Yao, Hong Wang, Nanyun Peng

ICLR 2026 • arXiv代码

Plug-and-Play Data Module for Code RL: Adaptive Ambiguity Replay

Jianqing Zhang, Wei Xia, Zhezheng Hao, Hong Wang, Hande Dong, Qiang Lin, Yang Liu, Jian Cao, Qiang Yang

ACL 2026 Findings • 腾讯实习工作

EvoMAS: Heuristics in the Loop — Evolving Smarter Agentic Workflows

Yangbo Wei, Zhen Huang, Ronghao Xu, Hong Wang, Wei W. Xing†

ICML 2026

GAPO: Robust Advantage Estimation for Real-World Code LLMs

Jianqing Zhang, Zhezheng Hao, Wei Xia†, Hande Dong, Hong Wang, Chenxing Wei, Yuyan Zhou, Yubin Qi, Qiang Lin, Jian Cao

ACL 2026 Findings • arXiv代码腾讯实习工作

LEPO: Latent Reasoning Policy Optimization for Large Language Models

Yuyan Zhou*, Jiarui Yu*, Hande Dong†, Zhezheng Hao, Hong Wang, Jianqing Zhang, Qiang Lin

ACL 2026 Findings • arXiv代码腾讯实习工作

ArborKV: Structure-Aware KV Cache Management for Scaling Tree-based LLM Reasoning

Yeqiu Chen, Ziyan Liu, Zhenxin Huang, Runquan Gui, Hong Wang, Lei Liu†

ICML 2026

AI 科学计算

SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning

Hong Wang, Minghao Ma, Haoran Shao, Haoyang Liu

NeurIPS 2025 • arXiv代码

Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter

Hong Wang, Jian Luo, Huanshuo Dong, Yeqiu Chen, Runmin Jiang, Zhen Huang

ICLR 2026 • arXiv

Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling Spotlight

Hong Wang*, Zhongkai Hao*, Zijie Geng, Zhen Wang, Bin Li, Feng Wu

ICLR 2024 • arXiv代码

Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training

Hong Wang*, Haiyang Xin*, Xuanze Yang, Fei Zha, Huanshuo Dong, Yan Jiang

NeurIPS 2025 • arXiv代码

STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problems

Hong Wang*, Yixuan Jiang*, Xinyi Li, Jian Luo, Huanshuo Dong

NeurIPS 2025 • arXiv代码

HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction Oral

Qin-Yi Zhang*, Hong Wang*, Siyao Liu, Haichuan Lin, Linying Cao, Xiao-Hu Zhou, Chen Chen, Shuangyi Wang†, Zeng-Guang Hou†

AAAI 2026 • arXiv代码

Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling

Jingren Hou*, Hong Wang*, Pengyu Xu, Chang Gao, Huafeng Liu, Liping Jing†

AAAI 2026 • arXiv

Self-Attention to Operator Learning-based 3D-IC Thermal Simulation

Zhen Huang*, Hong Wang*, Wenkai Yang, Muxi Tang, Depeng Xie, Ting-Jung Lin, Yu Zhang, Wei W. Xing, Lei He

DAC 2025 • arXiv

Learning-Guided Integration Contours Construction for Fast Large-Scale Generalized Eigensolvers

Yeqiu Chen, Ziyan Liu, Hong Wang†, Lei Liu

ICML 2026

Accelerating PDE Data Generation via Differential Operator Action in Solution Space

Huanshuo Dong, Hong Wang, Haoyang Liu, Jian Luo

ICML 2024 • arXiv

Neural Krylov Iteration for Accelerating Linear System Solving Spotlight

Jian Luo, Hong Wang, Huanshuo Dong, Zijie Geng, Hanzhu Chen, Yufei Kuang

NeurIPS 2024 • NeurIPS

Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings

Wenhan Gao, Ruichen Xu, Hong Wang, Yi Liu†

TMLR 2025 • OpenReview代码

学术服务与指导

  • ICLR、ICML、NeurIPS、AAAI 等顶级 AI 会议审稿人。
  • 研究生阶段指导 10+ 名学生开展科研项目。