CV

A concise web CV is provided below. For the latest PDF version, please use Download CV. You can also view Research Slides and Lab Discussion Slides.

Research Interests

• AI for scientific computing and AI for Science
• Matrix computation acceleration and numerical linear algebra
• Neural operators and PDE learning
• Large language models, RL for reasoning, and code agents

Contact

• Email: wanghong1700@mail.ustc.edu.cn
• WeChat: wh1732060534
• QQ: 1732060534
• Phone: (+86) 17318588680

Education

• Ph.D. student, Artificial Intelligence track, School of Information Science and Technology, USTC, 2023-present
• M.S., Computational Mathematics, School of Mathematical Sciences, USTC, 2021-2023
  Advisor: Prof. Kuan Xu
• B.S., Theoretical Physics; B.S., Mathematics (double degree), School of the Gifted Young, USTC, 2017-2021

Internship and Projects

• Tencent AI Code Assistant (CSIG CodeBuddy) Team, Qingyun Program — Research Intern, May 2025 - December 2025
  Worked on LLM post-training for code and mathematical reasoning, focusing on RLVR, entropy dynamics, and data curation for code RL.
• Huawei Project: Fast Similar Matrix Computation via Low-Rank Decomposition, September 2021 - June 2022
  Led literature review, algorithm design, theory, experiments, and reporting; developed accelerated matrix algorithms with 1.2×–20× speedups.

Awards

• Doctorate National Scholarship, USTC
• Graduate Academic Scholarship, USTC
• Outstanding Graduate, USTC
• Outstanding Student Scholarship, USTC
• ICLR 2024 financial assistance
• NeurIPS 2025 financial assistance

Selected Publications

• Scheduling Your LLM Reinforcement Learning with Reasoning Trees
  Authors: Hong Wang^*, Zhezheng Hao^*, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Qiang Lin, Hande Dong, Jiawei Chen.
  ICLR 2026. [arXiv] [code]
• Rethinking Entropy Interventions in RLVR: An Entropy Change Perspective
  Authors: Zhezheng Hao^*, Hong Wang^*, Haoyang Liu, Jian Luo, Jiarui Yu, Hande Dong, Qiang Lin, Can Wang, Jiawei Chen.
  ACL 2026 Oral. [arXiv] [code]
• Exploiting Edited Large Language Models as General Scientific Optimizers
  Authors: Qitan Lv, Tianyu Liu, Hong Wang^†.
  NAACL 2025. [arXiv]
• ReCreate: Reasoning and Creating Domain Agents Driven by Experience
  Authors: Zhezheng Hao, Hong Wang, Jian Luo, Jianqing Zhang, Yuyan Zhou, Qiang Lin, Can Wang, Hande Dong, Jiawei Chen.
  ACL 2026. [arXiv]
• Perturbation-Restrained Sequential Model Editing
  Authors: Jun-Yu Ma, Hong Wang, Hao-Xiang Xu, Zhen-Hua Ling, Jia-Chen Gu.
  ICLR 2025. [arXiv]
• Energy-Regularized Sequential Model Editing on Hyperspheres
  Authors: Qingyuan Liu, Jia-Chen Gu, Yunzhi Yao, Hong Wang, Nanyun Peng.
  ICLR 2026. [arXiv] [code]
• Accelerating Data Generation for Neural Operators via Krylov Subspace Recycling
  Authors: Hong Wang^*, Zhongkai Hao^*, Zijie Geng, Zhen Wang, Bin Li, Feng Wu.
  ICLR 2024 Spotlight. [arXiv] [code]

• Mixture-of-Experts Operator Transformer for Large-Scale PDE Pre-Training
  Authors: Hong Wang^*, Haiyang Xin^*, Xuanze Yang, Fei Zha, Huanshuo Dong, Yan Jiang.

  NeurIPS 2025. [arXiv] [code]

• SymMaP: Improving Computational Efficiency in Linear Solvers through Symbolic Preconditioning
  Authors: Hong Wang, Minghao Ma, Haoran Shao, Haoyang Liu.
  NeurIPS 2025. [arXiv] [code]
• STNet: Spectral Transformation Network for Solving Operator Eigenvalue Problem
  Authors: Hong Wang^*, Jiang Yixuan^*, Xinyi Li, Jian Luo, Huanshuo Dong.
  NeurIPS 2025. [arXiv] [code]
• Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
  Authors: Hong Wang, Jian Luo, Huanshuo Dong, Yeqiu Chen, Runmin Jiang, Zhen Huang.
  ICLR 2026. [arXiv]
• HGATSolver: A Heterogeneous Graph Attention Solver for Fluid-Structure Interaction
  Authors: Qin-Yi Zhang^*, Hong Wang^*, Siyao Liu, Haichuan Lin, Linying Cao, Xiao-Hu Zhou, Chen Chen, Shuangyi Wang, Zeng-Guang Hou.
  AAAI 2026 Oral. [arXiv] [code]
• Learning Neural Operators from Partial Observations via Latent Autoregressive Modeling
  Authors: Jingren Hou^*, Hong Wang^*, Pengyu Xu, Chang Gao, Huafeng Liu, Liping Jing.
  AAAI 2026. [arXiv]
• Coordinate Transform Fourier Neural Operators for Symmetries in Physical Modelings
  Authors: Wenhan Gao, Ruichen Xu, Hong Wang, Yi Liu.
  TMLR 2025. [OpenReview] [code]
• Test-Time Policy Adaptation for Enhanced Multi-Turn Interactions with LLMs
  Authors: Chenxing Wei, Hong Wang, Ying He, Fei Yu, Yao Shu.
  Submitted to ICML 2026. [arXiv]
• Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
  Authors: Chenxing Wei, Hong Wang, Ying He, Zhongxiang Dai, Bo Jiang, F. Richard Yu, Yao Shu.
  Submitted to ICML 2026. [arXiv]

Service and Mentoring

• Reviewer for ICLR, ICML, NeurIPS, AAAI, and other top AI venues
• Mentored more than 10 students on research projects during my graduate studies