About Me

I am Haiyang Wang (汪海洋), currently a researcher (TopMinds) at Huawei. I received my Ph.D. from Peking University (PKU) in 2025, advised by Prof. Liwei Wang. Prior to that, I obtained my bachelor’s degree from Zhiyuan College, Shanghai Jiao Tong University (SJTU), in 2020, supervised by Prof. Cewu Lu. I have also closely collaborated with Shaoshuai Shi, and was fortunate to work with Prof. Bernt Schiele (MPI-INF), Prof. Jifeng Dai (SenseTime), and Prof. Wei Wang (UCLA).

My current research focuses on general-purpose agent systems, with an emphasis on code intelligence and autonomous software engineering. Representative directions include:

• Self-evolving and continually improving agent systems.
• Autonomous program debugging and repair.
• Model architectures tailored for code understanding and generation.
• Closed-loop code agent systems from planning to execution and feedback.

I am currently developing the CodeAgent system toward directly delivering high-quality software services to end users.

[Hiring] We are seeking both full-time researchers and research interns year-round. We provide strong computational resources and substantial research freedom. If you are interested, please feel free to contact me via email. (wangocean.cs [at] gmail [dot] com)

Previous research areas:

• Fundamental neural architectures for foundation models.
• Unified computational frameworks for general visual modeling.
• 3D scene understanding for autonomous driving and robotics.
• Embodied AI with reinforcement learning methods.

Selected Publications

_{* means equal contribution. † indicates corresponding author.}

Preprints

• CLI-Gym: Scalable CLI Task Generation via Agentic Environment Inversion.
  Yusong Lin, Haiyang Wang^†, Shuzhe Wu, Lue Fan, Feiyang Pan, Sanyuan Zhao^†, Dandan Tu^†. [Code]    [Dataset]  

Publications

• FeatureBench: Benchmarking Agentic Coding for Complex Feature Development.
  Qixing Zhou*, Jiacheng Zhang*, Haiyang Wang*, Rui Hao, Jiahe Wang, Minghao Han, Yuxue Yang, Shuzhe Wu, Feiyang Pan, Lue Fan^†, Dandan Tu, Zhaoxiang Zhang^†. In ICLR 2026. [Code]    [Dataset]  

• TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters.
  Haiyang Wang*, Yue Fan*, Muhammad Ferjad Naeem, Yongqin Xian, Jan Eric Lenssen, Liwei Wang, Federico Tombari, Bernt Schiele. In ICLR 2025. [Code]   (Spotlight Presentation, 3.20% acceptance rate)

• GiT: Towards Generalist Vision Transformer through Universal Language Interface.
  Haiyang Wang*, Hao Tang*, Li Jiang^†, Shaoshuai Shi, Muhammad Ferjad Naeem, Hongsheng Li, Bernt Schiele, Liwei Wang^†. In ECCV 2024. [Code]   (Oral Presentation, 2.32% acceptance rate)

• PRED: Pre-training via Semantic Rendering on LiDAR Point Clouds.
  Hao Yang, Haiyang Wang, Di Dai, Liwei Wang. In NeurIPS 2023.

• UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation.
  Haiyang Wang*, Hao Tang*, Shaoshuai Shi^†, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang^†. In ICCV 2023. [Code]  

• DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets.
  Haiyang Wang*, Chen Shi*, Shaoshuai Shi^†, Meng Li, Sen Wang, Di He, Bernt Schiele, Liwei Wang^†. In CVPR 2023. [Code]  

• CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds.
  Haiyang Wang*, Lihe Ding*, Shaocong Dong, Shaoshuai Shi^†, Aoxue Li, Jianan Li, Zhenguo Li, Liwei Wang^†. In NeurIPS 2022. [Code]  

• MsSVT: Mixed-scale Sparse Voxel Transformer for 3D Object Detection on Point Clouds.
  Shaocong Dong*, Lihe Ding*, Haiyang Wang, Tingfa Xu, Xinli Xu, Jie Wang, Ziyang Bian, Ying Wang, Jianan Li. In NeurIPS 2022. [Code]  

• RBGNet: Ray-based grouping for 3d object detection.
  Haiyang Wang, Shaoshuai Shi^†, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang^†. In CVPR 2022. [Code]  

• Non-convex Distributionally Robust Optimization:Non-asymptotic Analysis.
  Jikai Jin*, Bohang Zhang*, Haiyang Wang, Liwei Wang. In NeurIPS 2021.

• Explicit shape encoding for real-time instance segmentation.
  Wenqiang Xu*, Haiyang Wang*, Fubo Qi, Cewu Lu. In ICCV 2019. [Code]  

Selected Awards

• National Scholarship (博士国家奖学金), 2022-2023. Awarded annually to top 1 student in all grades of Center for Data Science, Peking University.
• National Scholarship (博士国家奖学金), 2021-2022. Awarded annually to top 1 student in all grades of Center for Data Science, Peking University.
• Excellent Student at Shanghai Jiaotong University, 2020. Top 5% of graduated students.

Experiences

• Visiting Student at MPI-INF D2. Advisor: Bernt Schiele (2023.12 - 2024.12)
• Internship at SenseTime. Advisor: Jifeng Dai and Wenguan Wang (2020.07 - 2021.07)
• Visiting Student at ScAi-UCLA. Advisor: Wei Wang (2019.09 - 2020.04)
• Undergraduate at MVIG-SJTU. Advisor: Cewu Lu (2018.02 - 2019.05)

Invited Talks

• TokenFormer: Rethinking Transformer Scaling with Tokenized Model Parameters.
  • 2024.10. Hosted by BAAI(智源). [Video]
  • 2024.11. Hosted by Huawei Noah’s Ark Lab.
  • 2024.10. Hosted by Google VIA Center
• GiT: Towards Generalist Vision Transformer through Universal Language Interface.
  • 2024.4. Hosted by Huawei Technologies Co., Ltd.
  • 2024.4. Hosted by Google VIA Center
  • 2024.1. Hosted by Prof Bernt Schiele in MPI-INF
• A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation.
  • 2023.12. Hosted by TechBeat. [Video]
  • 2023.11. Hosted by 智东西. [Video]
  • 2023.11. Hosted by 自动驾驶之心.
  • 2023.6. Hosted by Huawei Noah’s Ark Lab.

Academic Services

• Reviewer for NeurIPS’21, CVPR’22, ECCV’22, ICML’22, NeurIPS’22, CVPR’23, ICML’23, ICCV’23, NeurIPS’23, IROS’23, CVPR’24, ICML’24, NeurIPS’24 (Top Reviewer), ICLR’25, ICLR’26