Tang, Peng

12 publications

ICML 2025 Going Deeper into Locally Differentially Private Graph Neural Networks Longzhu He, Chaozhuo Li, Peng Tang, Sen Su

AAAI 2024 DocFormerv2: Local Features for Document Understanding Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha

IJCAI 2024 Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains Ke Hu, Liyao Xiang, Peng Tang, Weidong Qiu

AAAI 2024 No Head Left Behind - Multi-Head Alignment Distillation for Transformers Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu

AAAI 2024 Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring Peng Tang, Zhiqiang Xu, Chunlai Zhou, Pengfei Wei, Peng Han, Xin Cao, Tobias Lasser

CVPR 2024 Synthesize Step-by-Step: Tools Templates and LLMs as Data Generators for Reasoning-Based Chart VQA Zhuowan Li, Bhavan Jasani, Peng Tang, Shabnam Ghadar

ECML-PKDD 2022 Marginal Release Under Multi-Party Personalized Differential Privacy Peng Tang, Rui Chen, Chongshi Jin, Gaoyuan Liu, Shanqing Guo

WACV 2021 Proposal Learning for Semi-Supervised Object Detection Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong

ICLR 2021 Shape-Texture Debiased Neural Network Training Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan Yuille, Cihang Xie

WACV 2019 Semi-Supervised 3D Abdominal Multi-Organ Segmentation via Deep Multi-Planar Co-Training Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan L. Yuille

ECCV 2018 Weakly Supervised Region Proposal Network and Object Detection Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan Yuille

CVPR 2017 Multiple Instance Detection Network with Online Instance Classifier Refinement Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu