Peihao Wang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 53

Top Topics

Diffusion Models

Network Congestion

Top Venues

Publications

Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR (2024)
Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. 3DV (2024)
Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi
Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CoRR (2024)
Jinze Zhao, Peihao Wang, Zhangyang Wang
Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study. CoRR (2024)
Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
Polynomial Width is Sufficient for Set Representation with High-dimensional Features. ICLR (2024)
Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR (2024)
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR (2023)
Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Wenqing Zheng, Hao (Frank) Yang, Jiarui Cai, Peihao Wang, Xuan Jiang, Simon Shaolei Du, Yinhai Wang, Zhangyang Wang
Integrating the traffic science with representation learning for city-wide network congestion prediction. Inf. Fusion 99 (2023)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR (2023)
Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR (2023)
Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang
Vision HGNN: An Image is More than a Graph of Nodes. ICCV (2023)
Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T, Yi Wang, Zhangyang Wang
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. ICCV (2023)
Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS (2023)
Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu
PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. AAAI (2023)
Peihao Wang, Rameswar Panda, Zhangyang Wang
Data Efficient Neural Scaling Law via Model Reusing. ICML (2023)
Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Is Attention All That NeRF Needs? ICLR (2023)
Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. ICLR (2023)
Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
Equivariant Hypergraph Diffusion Neural Operators. ICLR (2023)
Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
Polynomial Width is Sufficient for Set Representation with High-dimensional Features. CoRR (2023)
Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang
Meta ControlNet: Enhancing Task Adaptation via Meta Learning. CoRR (2023)
Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Hanwen Jiang, Zhangyang Wang
POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. CoRR (2023)
Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T, Yi Wang, Zhangyang Wang
Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. CoRR (2023)
Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang
Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. CoRR (2023)
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views. CVPR (2023)
Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Hanwen Jiang, Dejia Xu, Zehao Zhu, Dilin Wang, Zhangyang Wang
Drag View: Generalizable Novel View Synthesis with Unposed Imagery. CoRR (2023)
Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang
Unified Implicit Neural Stylization. ECCV (15) (2022)
Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CoRR (2022)
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. ECCV (22) (2022)
Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Is Attention All NeRF Needs? CoRR (2022)
Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CVPR (2022)
Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR (2022)
Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang
CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. CVPR (2022)
Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR (2022)
Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
Neural Implicit Dictionary via Mixture-of-Expert Training. CoRR (2022)
Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. ICLR (2022)
Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang
Signal Processing for Implicit Neural Representations. CoRR (2022)
Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
Neural Implicit Dictionary Learning via Mixture-of-Expert Training. ICML (2022)
Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang
Unified Implicit Neural Stylization. CoRR (2022)
Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang
Signal Processing for Implicit Neural Representations. NeurIPS (2022)
Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS (2022)
Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS (2022)
Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. CoRR (2022)
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views. CoRR (2022)
Xin Chen, Anqi Pang, Wei Yang, Peihao Wang, Lan Xu, Jingyi Yu
TightCap: 3D Human Shape Capture with Clothing Tightness Field. ACM Trans. Graph. 41 (1) (2022)
Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
Equivariant Hypergraph Diffusion Neural Operators. CoRR (2022)
Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang
SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. CoRR (2022)
Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang
NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. CoRR (2022)
Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. NeurIPS (2021)
Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. CoRR (2021)
Peihao Wang, Yuehao Wang, Hua Lin, Jianbo Shi
SoGCN: Second-Order Graph Convolutional Networks. CoRR (2021)
Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang
Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. CoRR (2021)
Xin Chen, Anqi Pang, Yu Zhu, Yuwei Li, Xi Luo, Ge Zhang, Peihao Wang, Yingliang Zhang, Shiying Li, Jingyi Yu
Towards 3D Human Shape Recovery Under Clothing. CoRR (2019)