Peihao Wang - RankMe

90 papers A* 29A 1Journal 51Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond Test-Time Training: Learning to Reason via Hardware-Efficient Optimal Control. CoRR Peihao Wang, Shan Yang, Xijun Wang, Tesi Xiao, Xin Liu, Changlong Yu, Yu Lou, Pan Li, Zhangyang Wang, Ming Lin, René Vidal
2026	A*	`conf`	Oscillation Inversion: Training-Free Image and Video Enhancement Through Oscillated Latents in Large Flow Models. AAAI Yan Zheng, Zhenxiao Liang, Xiaoyan Cong, Yi Yang, Lanqing Guo, Yuehao Wang, Peihao Wang, Zhangyang Wang
2026	J	`jnl`	Rethinking the Value of Multi-Agent Workflow: A Strong Single Agent Baseline. CoRR Jiawei Xu, Arief Koesdwiady, Sisong Bei, Yan Han, Baixiang Huang, Dakuo Wang, Yutong Chen, Zheshen Wang, Peihao Wang, Pan Li, Ying Ding
2026	J	`jnl`	∇-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space. CoRR Peihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang
2025	J	`jnl`	Can Test-Time Scaling Improve World Foundation Model? CoRR Wenyan Cong, Hanqing Zhu, Peihao Wang, Bangya Liu, Dejia Xu, Kevin Wang, David Z. Pan, Yan Wang, Zhiwen Fan, Zhangyang Wang
2025	J	`jnl`	CryoFastAR: Fast Cryo-EM Ab Initio Reconstruction Made Easy. CoRR Jiakai Zhang, Shouchen Zhou, Haizhao Dai, Xinhang Liu, Peihao Wang, Zhiwen Fan, Yuan Pei, Jingyi Yu
2025	J	`jnl`	DD-Ranking: Rethinking the Evaluation of Dataset Distillation. CoRR Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang
2025	J	`jnl`	Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights. CoRR 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
2025	A*	`conf`	FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CVPR Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang
2025	J	`jnl`	FlexGS: Train Once, Deploy Everywhere with Many-in-One Flexible 3D Gaussian Splatting. CoRR Hengyu Liu, Yuehao Wang, Chenxin Li, Ruisi Cai, Kevin Wang, Wuyang Li, Pavlo Molchanov, Peihao Wang, Zhangyang Wang
2025	J	`jnl`	Graph-KV: Breaking Sequence via Injecting Structural Biases into Large Language Models. CoRR Haoyu Wang, Peihao Wang, Mufei Li, Shikun Liu, Siqi Miao, Zhangyang Wang, Pan Li
2025	—	`conf`	Meta ControlNet: Enhancing Task Adaptation via Meta Learning. CPAL Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang
2025	A*	`conf`	Rethinking Addressing in Language Models via Contextualized Equivariant Positional Encoding. ICML Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang
2025	J	`jnl`	Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding. CoRR Jiajun Zhu, Peihao Wang, Ruisi Cai, Jason D. Lee, Pan Li, Zhangyang Wang
2025	J	`jnl`	SAS: Simulated Attention Score. CoRR Chuanyang Zheng, Jiankai Sun, Yihang Gao, Yuehao Wang, Peihao Wang, Jing Xiong, Liliang Ren, Hao Cheng, Janardhan Kulkarni, Yelong Shen, Atlas Wang, Mac Schwager, Anderson Schneider, Xiaodong Liu, Jianfeng Gao
2025	A*	`conf`	Steepest Descent Density Control for Compact 3D Gaussian Splatting. CVPR Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025	J	`jnl`	Steepest Descent Density Control for Compact 3D Gaussian Splatting. CoRR Peihao Wang, Yuehao Wang, Dilin Wang, Sreyas Mohan, Zhiwen Fan, Lemeng Wu, Ruisi Cai, Yu-Ying Yeh, Zhangyang Wang, Qiang Liu, Rakesh Ranjan
2025	A	`conf`	SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. AISTATS Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2025	—	`conf`	TDRSolver: Confidentiality-Preserving Repair of Inconsistent Data in Temporal Knowledge Graphs Using Ant Colony Optimization. ICSI (1) Jianjun Cao, Peihao Wang, Nianfeng Weng, Zhen Yuan, Suting Chen
2025	A*	`conf`	Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. ICLR Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li
2025	J	`jnl`	Understanding and Mitigating Bottlenecks of State Space Models through the Lens of Recency and Over-smoothing. CoRR Peihao Wang, Ruisi Cai, Yuehao Wang, Jiajun Zhu, Pragya Srivastava, Zhangyang Wang, Pan Li
2025	J	`jnl`	Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel. CoRR Chuanyang Zheng, Jiankai Sun, Yihang Gao, Enze Xie, Yuehao Wang, Peihao Wang, Ting Xu, Matthew Chang, Liliang Ren, Jingyao Li, Jing Xiong, Kashif Rasul, Mac Schwager, Anderson Schneider, Zhangyang Wang, Yuriy Nevmyvaka
2025	J	`jnl`	Why Neural Network Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation for Neurosymbolic Reasoning. CoRR Peihao Wang, Zhangyang Wang
2025	—	`conf`	Why Neural Networks Can Discover Symbolic Structures with Gradient-based Training: An Algebraic and Geometric Foundation for Neurosymbolic Reasoning. NeuS Peihao Wang, Zhangyang (Atlas) Wang
2024	J	`jnl`	Generalization Error Analysis for Sparse Mixture-of-Experts: A Preliminary Study. CoRR Jinze Zhao, Peihao Wang, Zhangyang Wang
2024	A*	`conf`	Large Spatial Model: End-to-end Unposed Images to Semantic 3D. NeurIPS Zhiwen Fan, Jian Zhang, Wenyan Cong, Peihao Wang, Renjie Li, Kairun Wen, Shijie Zhou, Achuta Kadambi, Zhangyang Wang, Danfei Xu, Boris Ivanovic, Marco Pavone
2024	J	`jnl`	Large Spatial Model: End-to-end Unposed Images to Semantic 3D. CoRR 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
2024	—	`conf`	Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. 3DV Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang
2024	A*	`conf`	Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CVPR Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi
2024	J	`jnl`	Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D. CoRR Mukund Varma T., Peihao Wang, Zhiwen Fan, Zhangyang Wang, Hao Su, Ravi Ramamoorthi
2024	A*	`conf`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. NeurIPS 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
2024	J	`jnl`	Model-GLUE: Democratized LLM Scaling for A Large Model Zoo in the Wild. CoRR 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
2024	—	`conf`	NeRF as Pretraining at Scale: Generalizable 3D-Aware Semantic Representation Learning from View Prediction. CVPR Workshops Wenyan Cong, Hanxue Liang, Zhiwen Fan, Peihao Wang, Yifan Jiang, Dejia Xu, A. Cengiz Öztireli, Zhangyang Wang
2024	J	`jnl`	Oscillation Inversion: Understand the structure of Large Flow Model through the Lens of Inversion Method. CoRR Yan Zheng, Zhenxiao Liang, Xiaoyan Cong, Lanqing Guo, Yuehao Wang, Peihao Wang, Zhangyang Wang
2024	—	`conf`	POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. CVPR Workshops Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Zhangyang Wang
2024	J	`jnl`	Perspective-Aligned AR Mirror with Under-Display Camera. ACM Trans. Graph. Jian Wang, Sizhuo Ma, Karl Bayer, Yi Zhang, Peihao Wang, Bing Zhou, Shree K. Nayar, Gurunandan Krishnan
2024	A*	`conf`	Polynomial Width is Sufficient for Set Representation with High-dimensional Features. ICLR Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
2024	A*	`conf`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. NeurIPS Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2024	J	`jnl`	Read-ME: Refactorizing LLMs as Router-Decoupled Mixture of Experts with System Co-Design. CoRR Ruisi Cai, Yeonju Ro, Geon-Woo Kim, Peihao Wang, Babak Ehteshami Bejnordi, Aditya Akella, Zhangyang Wang
2024	J	`jnl`	SteinDreamer: Variance Reduction for Text-to-3D Score Distillation via Stein Identity. CoRR Peihao Wang, Zhiwen Fan, Dejia Xu, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024	A*	`conf`	Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CVPR Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024	J	`jnl`	Taming Mode Collapse in Score Distillation for Text-to-3D Generation. CoRR Peihao Wang, Dejia Xu, Zhiwen Fan, Dilin Wang, Sreyas Mohan, Forrest N. Iandola, Rakesh Ranjan, Yilei Li, Qiang Liu, Zhangyang Wang, Vikas Chandra
2024	—	`conf`	VersatileGaussian: Real-Time Neural Rendering for Versatile Tasks Using Gaussian Splatting. ECCV (20) Renjie Li, Zhiwen Fan, Bohua Wang, Peihao Wang, Zhangyang Wang, Xi Wu
2023	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. IEEE Trans. Pattern Anal. Mach. Intell. Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2023	A*	`conf`	Data Efficient Neural Scaling Law via Model Reusing. ICML Peihao Wang, Rameswar Panda, Zhangyang Wang
2023	J	`jnl`	Drag View: Generalizable Novel View Synthesis with Unposed Imagery. CoRR Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Hanwen Jiang, Dejia Xu, Zehao Zhu, Dilin Wang, Zhangyang Wang
2023	A*	`conf`	Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. ICCV Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang
2023	J	`jnl`	Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. CoRR Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang
2023	A*	`conf`	Equivariant Hypergraph Diffusion Neural Operators. ICLR Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
2023	J	`jnl`	Integrating the traffic science with representation learning for city-wide network congestion prediction. Inf. Fusion Wenqing Zheng, Hao (Frank) Yang, Jiarui Cai, Peihao Wang, Xuan Jiang, Simon Shaolei Du, Yinhai Wang, Zhangyang Wang
2023	A*	`conf`	Is Attention All That NeRF Needs? ICLR Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2023	J	`jnl`	Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images. CoRR Panwang Pan, Zhiwen Fan, Brandon Y. Feng, Peihao Wang, Chenxin Li, Zhangyang Wang
2023	A*	`conf`	Learning to Grow Pretrained Models for Efficient Transformer Training. ICLR Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
2023	J	`jnl`	Learning to Grow Pretrained Models for Efficient Transformer Training. CoRR Peihao Wang, Rameswar Panda, Lucas Torroba Hennigen, Philip Greengard, Leonid Karlinsky, Rogério Feris, David Daniel Cox, Zhangyang Wang, Yoon Kim
2023	J	`jnl`	Meta ControlNet: Enhancing Task Adaptation via Meta Learning. CoRR Junjie Yang, Jinze Zhao, Peihao Wang, Zhangyang Wang, Yingbin Liang
2023	A*	`conf`	NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. ICLR Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang
2023	A*	`conf`	NeuralLift-360: Lifting an in-the-Wild 2D Photo to A 3D Object with 360° Views. CVPR Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
2023	A*	`conf`	PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor. AAAI Shun Lu, Yu Hu, Peihao Wang, Yan Han, Jianchao Tan, Jixiang Li, Sen Yang, Ji Liu
2023	J	`jnl`	POPE: 6-DoF Promptable Pose Estimation of Any Object, in Any Scene, with One Reference. CoRR Zhiwen Fan, Panwang Pan, Peihao Wang, Yifan Jiang, Dejia Xu, Hanwen Jiang, Zhangyang Wang
2023	A*	`conf`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. NeurIPS Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Patch Diffusion: Faster and More Data-Efficient Training of Diffusion Models. CoRR Zhendong Wang, Yifan Jiang, Huangjie Zheng, Peihao Wang, Pengcheng He, Zhangyang Wang, Weizhu Chen, Mingyuan Zhou
2023	J	`jnl`	Polynomial Width is Sufficient for Set Representation with High-dimensional Features. CoRR Peihao Wang, Shenghao Yang, Shu Li, Zhangyang Wang, Pan Li
2023	A*	`conf`	Vision HGNN: An Image is More than a Graph of Nodes. ICCV Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang
2022	A*	`conf`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. NeurIPS Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	J	`jnl`	A Comprehensive Study on Large-Scale Graph Training: Benchmarking and Rethinking. CoRR Keyu Duan, Zirui Liu, Peihao Wang, Wenqing Zheng, Kaixiong Zhou, Tianlong Chen, Xia Hu, Zhangyang Wang
2022	A*	`conf`	Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. ICLR Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	Anti-Oversmoothing in Deep Vision Transformers via the Fourier Domain Analysis: From Theory to Practice. CoRR Peihao Wang, Wenqing Zheng, Tianlong Chen, Zhangyang Wang
2022	A*	`conf`	Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CVPR Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
2022	J	`jnl`	Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. CoRR Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang
2022	A*	`conf`	CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. CVPR Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang
2022	J	`jnl`	Equivariant Hypergraph Diffusion Neural Operators. CoRR Peihao Wang, Shenghao Yang, Yunyu Liu, Zhangyang Wang, Pan Li
2022	J	`jnl`	Is Attention All NeRF Needs? CoRR Mukund Varma T., Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
2022	J	`jnl`	NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes. CoRR Zhiwen Fan, Peihao Wang, Yifan Jiang, Xinyu Gong, Dejia Xu, Zhangyang Wang
2022	A*	`conf`	Neural Implicit Dictionary Learning via Mixture-of-Expert Training. ICML Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	Neural Implicit Dictionary via Mixture-of-Expert Training. CoRR Peihao Wang, Zhiwen Fan, Tianlong Chen, Zhangyang Wang
2022	J	`jnl`	NeuralLift-360: Lifting An In-the-wild 2D Photo to A 3D Object with 360° Views. CoRR Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Yi Wang, Zhangyang Wang
2022	A*	`conf`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. NeurIPS Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	J	`jnl`	Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again. CoRR Ajay Jaiswal, Peihao Wang, Tianlong Chen, Justin F. Rousseau, Ying Ding, Zhangyang Wang
2022	A*	`conf`	Signal Processing for Implicit Neural Representations. NeurIPS Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang
2022	J	`jnl`	Signal Processing for Implicit Neural Representations. CoRR Dejia Xu, Peihao Wang, Yifan Jiang, Zhiwen Fan, Zhangyang Wang
2022	—	`conf`	SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. ECCV (22) Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang
2022	J	`jnl`	SinNeRF: Training Neural Radiance Fields on Complex Scenes from a Single Image. CoRR Dejia Xu, Yifan Jiang, Peihao Wang, Zhiwen Fan, Humphrey Shi, Zhangyang Wang
2022	J	`jnl`	TightCap: 3D Human Shape Capture with Clothing Tightness Field. ACM Trans. Graph. Xin Chen, Anqi Pang, Wei Yang, Peihao Wang, Lan Xu, Jingyi Yu
2022	—	`conf`	Unified Implicit Neural Stylization. ECCV (15) Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang
2022	J	`jnl`	Unified Implicit Neural Stylization. CoRR Zhiwen Fan, Yifan Jiang, Peihao Wang, Xinyu Gong, Dejia Xu, Zhangyang Wang
2021	J	`jnl`	Bag of Tricks for Training Deeper Graph Neural Networks: A Comprehensive Benchmark Study. CoRR Tianlong Chen, Kaixiong Zhou, Keyu Duan, Wenqing Zheng, Peihao Wang, Xia Hu, Zhangyang Wang
2021	A*	`conf`	Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. NeurIPS Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang
2021	J	`jnl`	Delayed Propagation Transformer: A Universal Computation Engine towards Practical Control in Cyber-Physical Systems. CoRR Wenqing Zheng, Qiangqiang Guo, Hao Yang, Peihao Wang, Zhangyang Wang
2021	J	`jnl`	SoGCN: Second-Order Graph Convolutional Networks. CoRR Peihao Wang, Yuehao Wang, Hua Lin, Jianbo Shi
2019	J	`jnl`	Towards 3D Human Shape Recovery Under Clothing. CoRR Xin Chen, Anqi Pang, Yu Zhu, Yuwei Li, Xi Luo, Ge Zhang, Peihao Wang, Yingliang Zhang, Shiying Li, Jingyi Yu