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Haoru Wang

Second-year PhD Student
Peking University



About Me

I am a second-year PhD student at Peking University, major in Computer Graphics and Artificial Intelligence. I am co-advised by Prof. Baoquan Chen from VCL Lab and Prof. Yu Qiao from Shanghai AI Lab. I am grateful to have been introduced to research by Dr. Wentao Zhu, and guided by Prof. Mengyu Chu.

I was into physics, neural graphics, and 3D representations until very recently. These combined build up great mechanisms for how we interact with the world.

They may not scale, but interaction remains what matters. I’m actively embracing a paradigm shift and exploring how intelligence could recursively interact with, and improve itself.

I am always looking to learn from others and exchange ideas. If any of this resonates with you, I’d greatly appreciate a chat via ou524u@gmail.com or ou524uWithoutSalt.

Preprints

  1. AI-generated concept diagram of one clean-target predictor used for one-step reconstruction and multi-step flow
    arXiv'26
    From Feed-Forward to Flow: Unifying Reconstruction and Generation Is Easier Than You Think
    Haoru Wang*, Qianfan Shen*, Kai Ye, Wenzheng Chen, Baoquan Chen
    arXiv preprint, 2026.
    PDF
  2. AI-generated concept illustration of instance segmentation separating two chairs into distinct object masks
    arXiv'26
    InstanceSplat: Instance-Aware Feed-Forward 3D Gaussian Splatting for Scene Understanding
    Minchao Jiang, Xiaoxuan Ma, Shunyu Jia, Haoru Wang, Zhang Liang, Wentao Zhu
    arXiv preprint, 2026.
    PDF Code Project Page

Publications

  1. AI-generated concept diagram of planning, building and validating workspace deliverables
    Tech Report
    Seed2.1 Model Card: Agentic Intelligence for Productivity
    ByteDance Seed Team
    Technical Report, 2026.
    PDF Project Page
  2. AI-generated concept illustration of geometry-pretrained NGTs bridging RGB views and faithful mesh reconstruction
    SIGGRAPH Asia'26
    MeRM: Large Mesh Reconstruction Model via Neural Geometry Tokens
    Kai Ye*, Haoru Wang*, Zhongyu Shi, Ding Liang, Yan-Pei Cao, Wenzheng Chen, Baoquan Chen
    ACM SIGGRAPH Asia, 2026.
    ACM Transactions on Graphics (TOG), 2026.
    PDF
  3. AI-generated concept diagram of single-transmitter measurements mapped to relative permittivity
    CVPR'26
    Electromagnetic Inverse Scattering from a Single Transmitter
    Yizhe Cheng*, Chunxun Tian*, Haoru Wang, Wentao Zhu, Xiaoxuan Ma, Yizhou Wang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2026. Highlight
    PDF Code Project Page
  4. Conceptual illustration of self-supervised scaling with reduced dependence on explicit 3D priors
    ICLR'26
    The Less You Depend, The More You Learn: Synthesizing Novel Views from Sparse, Unposed Images without Any 3D Knowledge
    Haoru Wang*, Kai Ye*, Minghan Qin, Yangyan Li, Wenzheng Chen, Baoquan Chen
    International Conference on Learning Representations (ICLR), 2026.
    PDF Code Project Page Chiikawa Poster
  5. AI-generated concept diagram of spatial cells, compact tokens and deformable-body state prediction
    TMLR'25
    Learning Deformable Body Interactions With Adaptive Spatial Tokenization
    Hao Wang*, Yu Liu*, Daniel Biggs, Haoru Wang, Jiandong Yu, Ping Huang
    NeurIPS AI4Science Workshop, 2025
    Transactions on Machine Learning Research (TMLR), 2025.
    PDF Project Page
  6. AI-generated concept diagram of human motion preferences training a critic to guide generation
    ICLR'25
    Aligning Human Motion Generation with Human Perceptions
    Haoru Wang*, Wentao Zhu*, Luyi Miao, Yishu Xu, Feng Gao, Qi Tian, Yizhou Wang
    International Conference on Learning Representations (ICLR), 2025.
    PDF Code Project Page

Friends & Mentors

Sein heißt Werden, Leben heißt Lernen.

Misc

I speak Chinese, English, Japanese, and a little bit of German and Korean. I love travelling and wandering around the globe. I love musicals and anime. I've interned at Apple and ByteDance Seed. I'm also an intern at Moonshot AI.

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