Towards 3D Human Shape Recovery Under Clothing. - Xin Chen 040; Anqi Pang; Yu Zhu; Yuwei Li; Xi Luo; Ge Zhang; Peihao Wang; Yingliang Zhang; Shiying Li; Jingyi Yu (CoRR, 2019)

Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. - Wenqing Zheng; Qiangqiang Guo; Hao Yang 018; Peihao Wang; Zhangyang Wang (NeurIPS, 2021)

SoGCN: Second-Order Graph Convolutional Networks. - Peihao Wang; Yuehao Wang; Hua Lin; Jianbo Shi (CoRR, 2021)

Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. - Tianlong Chen 001; Peihao Wang; Zhiwen Fan; Zhangyang Wang (CVPR, 2022)

CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. - Zhiwen Fan; Tianlong Chen 001; Peihao Wang; Zhangyang Wang (CVPR, 2022)

Unified Implicit Neural Stylization. - Zhiwen Fan; Yifan Jiang 001; Peihao Wang; Xinyu Gong; Dejia Xu; Zhangyang Wang (ECCV (15), 2022)

SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. - Dejia Xu; Yifan Jiang 001; Peihao Wang; Zhiwen Fan; Humphrey Shi; Zhangyang Wang (ECCV (22), 2022)

Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. - Peihao Wang; Wenqing Zheng; Tianlong Chen 001; Zhangyang Wang (ICLR, 2022)

Neural Implicit Dictionary Learning via Mixture-of-Expert Training. - Peihao Wang; Zhiwen Fan; Tianlong Chen 001; Zhangyang Wang (ICML, 2022)

A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. - Keyu Duan; Zirui Liu 001; Peihao Wang; Wenqing Zheng; Kaixiong Zhou; Tianlong Chen 001; Xia Hu 001; Zhangyang Wang (NeurIPS, 2022)

Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. - Ajay Jaiswal; Peihao Wang; Tianlong Chen 001; Justin F. Rousseau; Ying Ding 001; Zhangyang Wang (NeurIPS, 2022)

Signal Processing for Implicit Neural Representations. - Dejia Xu; Peihao Wang; Yifan Jiang 001; Zhiwen Fan; Zhangyang Wang (NeurIPS, 2022)

Neural Implicit Dictionary via Mixture-of-Expert Training. - Peihao Wang; Zhiwen Fan; Tianlong Chen 001; Zhangyang Wang (CoRR, 2022)

Is Attention All NeRF Needs? - Mukund Varma T.; Peihao Wang; Xuxi Chen; Tianlong Chen 001; Subhashini Venugopalan; Zhangyang Wang (CoRR, 2022)

TightCap: 3D Human Shape Capture with Clothing Tightness Field. - Xin Chen 040; Anqi Pang; Wei Yang 034; Peihao Wang; Lan Xu; Jingyi Yu (ACM Trans. Graph., 2022)

PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. - Shun Lu 001; Yu Hu 001; Peihao Wang; Yan Han 001; Jianchao Tan; Jixiang Li; Sen Yang 004; Ji Liu 002 (AAAI, 2023)

NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views. - Dejia Xu; Yifan Jiang 001; Peihao Wang; Zhiwen Fan; Yi Wang 076; Zhangyang Wang (CVPR, 2023)

Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. - Wenyan Cong; Hanxue Liang; Peihao Wang; Zhiwen Fan; Tianlong Chen 001; Mukund Varma T.; Yi Wang 076; Zhangyang Wang (ICCV, 2023)

Vision HGNN: An Image is More than a Graph of Nodes. - Yan Han 001; Peihao Wang; Souvik Kundu 009; Ying Ding 001; Zhangyang Wang (ICCV, 2023)

NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. - Zhiwen Fan; Peihao Wang; Yifan Jiang 001; Xinyu Gong; Dejia Xu; Zhangyang Wang (ICLR, 2023)

Is Attention All That NeRF Needs? - Mukund Varma T.; Peihao Wang; Xuxi Chen; Tianlong Chen 001; Subhashini Venugopalan; Zhangyang Wang (ICLR, 2023)

Learning to Grow Pretrained Models for Efficient Transformer Training. - Peihao Wang; Rameswar Panda; Lucas Torroba Hennigen; Philip Greengard; Leonid Karlinsky; Rogério Feris; David Daniel Cox; Zhangyang Wang; Yoon Kim (ICLR, 2023)

Equivariant Hypergraph Diffusion Neural Operators. - Peihao Wang; Shenghao Yang 002; Yunyu Liu; Zhangyang Wang; Pan Li 005 (ICLR, 2023)

Data Efficient Neural Scaling Law via Model Reusing. - Peihao Wang; Rameswar Panda; Zhangyang Wang (ICML, 2023)

Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. - Zhendong Wang; Yifan Jiang 001; Huangjie Zheng; Peihao Wang; Pengcheng He; Zhangyang Wang; Weizhu Chen; Mingyuan Zhou (NeurIPS, 2023)

POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. - Zhiwen Fan; Panwang Pan; Peihao Wang; Yifan Jiang 001; Dejia Xu; Hanwen Jiang; Zhangyang Wang (CoRR, 2023)

Drag View: Generalizable Novel View Synthesis with Unposed Imagery. - Zhiwen Fan; Panwang Pan; Peihao Wang; Yifan Jiang 001; Hanwen Jiang; Dejia Xu; Zehao Zhu; Dilin Wang; Zhangyang Wang (CoRR, 2023)

Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. - Tianlong Chen 001; Kaixiong Zhou; Keyu Duan; Wenqing Zheng; Peihao Wang; Xia Hu 001; Zhangyang Wang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Integrating the traffic science with representation learning for city-wide network congestion prediction. - Wenqing Zheng; Hao (Frank) Yang; Jiarui Cai; Peihao Wang; Xuan Jiang; Simon Shaolei Du; Yinhai Wang; Zhangyang Wang (Inf. Fusion, 2023)

Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. - Panwang Pan; Zhiwen Fan; Brandon Y. Feng; Peihao Wang; Chenxin Li; Zhangyang Wang (3DV, 2024)

NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction. - Wenyan Cong; Hanxue Liang; Zhiwen Fan; Peihao Wang; Yifan Jiang 001; Dejia Xu; A. Cengiz Öztireli; Zhangyang Wang (CVPR Workshops, 2024)

POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. - Zhiwen Fan; Panwang Pan; Peihao Wang; Yifan Jiang 001; Dejia Xu; Zhangyang Wang (CVPR Workshops, 2024)

Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. - Mukund Varma T.; Peihao Wang; Zhiwen Fan; Zhangyang Wang; Hao Su 001; Ravi Ramamoorthi (CVPR, 2024)

Taming Mode Collapse in Score Distillation for Text-to-3D Generation. - Peihao Wang; Dejia Xu; Zhiwen Fan; Dilin Wang; Sreyas Mohan; Forrest N. Iandola; Rakesh Ranjan; Yilei Li; Qiang Liu 001; Zhangyang Wang; Vikas Chandra (CVPR, 2024)

VersatileGaussian: Real-Time Neural Rendering for Versatile Tasks Using Gaussian Splatting. - Renjie Li 003; Zhiwen Fan; Bohua Wang; Peihao Wang; Zhangyang Wang; Xi Wu (ECCV (20), 2024)

Polynomial Width is Sufficient for Set Representation with High-dimensional Features. - Peihao Wang; Shenghao Yang 002; Shu Li; Zhangyang Wang; Pan Li 005 (ICLR, 2024)

Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. - Ruisi Cai; Yeonju Ro; Geon-Woo Kim; Peihao Wang; Babak Ehteshami Bejnordi; Aditya Akella; Zhangyang Wang (NeurIPS, 2024)

Large Spatial Model: End-to-end Unposed Images to Semantic 3D. - Zhiwen Fan; Jian Zhang; Wenyan Cong; Peihao Wang; Renjie Li 003; Kairun Wen; Shijie Zhou 003; Achuta Kadambi; Zhangyang Wang; Danfei Xu; Boris Ivanovic; Marco Pavone 001 (NeurIPS, 2024)

Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. - Xinyu Zhao; Guoheng Sun; Ruisi Cai; Yukun Zhou; Pingzhi Li; Peihao Wang; Bowen Tan; Yexiao He; Li Chen; Yi Liang; Beidi Chen; Binhang Yuan; et al. (NeurIPS, 2024)

Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study. - Jinze Zhao; Peihao Wang; Zhangyang Wang (CoRR, 2024)

Large Spatial Model: End-to-end Unposed Images to Semantic 3D. - Zhiwen Fan; Jian Zhang; Wenyan Cong; Peihao Wang; Renjie Li 003; Kairun Wen; Shijie Zhou 003; Achuta Kadambi; Zhangyang Wang; Danfei Xu; Boris Ivanovic; Marco Pavone 001; et al. (CoRR, 2024)

Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion Method. - Yan Zheng; Zhenxiao Liang; Xiaoyan Cong; Lanqing guo; Yuehao Wang; Peihao Wang; Zhangyang Wang (CoRR, 2024)

Perspective-Aligned AR Mirror with Under-Display Camera. - Jian Wang 111; Sizhuo Ma; Karl Bayer; Yi Zhang 108; Peihao Wang; Bing Zhou 001; Shree K. Nayar; Gurunandan Krishnan (ACM Trans. Graph., 2024)

SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. - Peihao Wang; Zhiwen Fan; Dejia Xu; Dilin Wang; Sreyas Mohan; Forrest N. Iandola; Rakesh Ranjan; Yilei Li; Qiang Liu 001; Zhangyang Wang; Vikas Chandra (AISTATS, 2025)

Meta ControlNet: Enhancing Task Adaptation via Meta Learning. - Junjie Yang; Jinze Zhao; Peihao Wang; Zhangyang Wang; Yingbin Liang (CPAL, 2025)

FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. - Hengyu Liu; Yuehao Wang; Chenxin Li; Ruisi Cai; Kevin Wang; Wuyang Li; Pavlo Molchanov 001; Peihao Wang; Zhangyang Wang (CVPR, 2025)

Steepest Descent Density Control for Compact 3D Gaussian Splatting. - Peihao Wang; Yuehao Wang; Dilin Wang; Sreyas Mohan; Zhiwen Fan; Lemeng Wu; Ruisi Cai; Yu-Ying Yeh; Zhangyang Wang; Qiang Liu 001; Rakesh Ranjan (CVPR, 2025)

Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. - Peihao Wang; Ruisi Cai; Yuehao Wang; Jiajun Zhu; Pragya Srivastava; Zhangyang Wang; Pan Li 005 (ICLR, 2025)

Why Neural Networks Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation for Neurosymbolic Reasoning. - Peihao Wang; Zhangyang (Atlas) Wang (NeuS, 2025)

Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding. - Jiajun Zhu; Peihao Wang; Ruisi Cai; Jason D. Lee; Pan Li 005; Zhangyang Wang (CoRR, 2025)

Can Test-Time Scaling Improve World Foundation Model? - Wenyan Cong; Hanqing Zhu; Peihao Wang; Bangya Liu; Dejia Xu; Kevin Wang; David Z. Pan; Yan Wang 051; Zhiwen Fan; Zhangyang Wang (CoRR, 2025)

DD-Ranking: Rethinking the Evaluation of Dataset Distillation. - Zekai Li; Xinhao Zhong; Samir Khaki; Zhiyuan Liang; Yuhao Zhou; Mingjia Shi; Ziqiao Wang; Xuanlei Zhao; Wangbo Zhao; Ziheng Qin; Mengxuan Wu; Pengfei Zhou; et al. (CoRR, 2025)

CryoFastAR: Fast Cryo-EM Ab Initio Reconstruction Made Easy. - Jiakai Zhang; Shouchen Zhou; Haizhao Dai; Xinhang Liu; Peihao Wang; Zhiwen Fan; Yuan Pei; Jingyi Yu (CoRR, 2025)

Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models. - Haoyu Wang 004; Peihao Wang; Mufei Li; Shikun Liu; Siqi Miao 001; Zhangyang Wang; Pan Li 005 (CoRR, 2025)

Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. - Zhiyuan Liang; Dongwen Tang; Yuhao Zhou; Xuanlei Zhao; Mingjia Shi; Wangbo Zhao; Zekai Li; Peihao Wang; Konstantin Schürholt; Damian Borth; Michael M. Bronstein; Yang You 001; et al. (CoRR, 2025)

Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation for Neurosymbolic Reasoning. - Peihao Wang; Zhangyang Wang (CoRR, 2025)

SAS: Simulated Attention Score. - Chuanyang Zheng; Jiankai Sun; Yihang Gao; Yuehao Wang; Peihao Wang; Jing Xiong; Liliang Ren; Hao Cheng 002; Janardhan Kulkarni; Yelong Shen; Atlas Wang; Mac Schwager; et al. (CoRR, 2025)