Wang, Peihao

40 publications

ICCV 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

NeurIPS 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, Zhangyang Wang, Kai Wang

CVPR 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, Peihao Wang, Zhangyang Wang

NeurIPS 2025 Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models Haoyu Peter Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li

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

ICML 2025 Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang

NeurIPS 2025 SAS: Simulated Attention Score Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan Kulkarni, Yelong Shen, Zhangyang Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao

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, Rakesh Ranjan

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

ICLR 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

NeurIPS 2024 $\textit{Read-ME}$: 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 $\texttt{Model-GLUE}$: 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, Hongyi Wang, Ang Li, Zhangyang Wang, Tianlong Chen

NeurIPSW 2024 Enhancing Generalization in Sparse Mixture of Experts Models: The Case for Increased Expert Activation in Compositional Tasks Jinze Zhao, Junjie Yang, Peihao Wang, Yingbin Liang, 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, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone, Yue Wang

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

CVPRW 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, Dejia Xu, A. Cengiz Öztireli, Zhangyang Wang

CVPRW 2024 POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Zhangyang Wang

ICLR 2024 Polynomial Width Is Sufficient for Set Representation with High-Dimensional Features Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li

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

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

ICML 2023 Data Efficient Neural Scaling Law via Model Reusing Peihao Wang, Rameswar Panda, Zhangyang Wang

ICCV 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, Mukund Varma, Yi Wang, Zhangyang Wang

ICLR 2023 Equivariant Hypergraph Diffusion Neural Operators Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li

ICLR 2023 Is Attention All That NeRF Needs? Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, 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, Rogerio Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim

ICLR 2023 NeRF-SOS: Any-View Self-Supervised Object Segmentation on Complex Scenes Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang

CVPR 2023 NeuralLift-360: Lifting an In-the-Wild 2D Photo to a 3D Object with 360deg Views Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang

AAAI 2023 PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu

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

ICCV 2023 Vision HGNN: An Image Is More than a Graph of Nodes Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang

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

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

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

CVPR 2022 CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang

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

NeurIPS 2022 Old Can Be Gold: Better Gradient Flow Can Make Vanilla-GCNs Great Again Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin Rousseau, Ying Ding, Zhangyang Wang

NeurIPS 2022 Signal Processing for Implicit Neural Representations Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang

ECCV 2022 SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang

ECCV 2022 Unified Implicit Neural Stylization Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang

NeurIPS 2021 Delayed Propagation Transformer: A Universal Computation Engine Towards Practical Control in Cyber-Physical Systems Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang