Pengchuan Zhang

98 papers A* 34Journal 56Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	SAM 3: Segment Anything with Concepts. CoRR Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer
2025	A*	`conf`	TLDR: Token-Level Detective Reward Model for Large Vision Language Models. ICLR Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen
2024	A*	`conf`	BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CVPR Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu
2024	J	`jnl`	BEHAVIOR Vision Suite: Customizable Dataset Generation via Simulation. CoRR Yunhao Ge, Yihe Tang, Jiashu Xu, Cem Gokmen, Chengshu Li, Wensi Ai, Benjamin Jose Martinez, Arman Aydin, Mona Anvari, Ayush K. Chakravarthy, Hong-Xing Yu, Josiah Wong, Sanjana Srivastava, Sharon Lee, Shengxin Zha, Laurent Itti, Yunzhu Li, Roberto Martín-Martín, Miao Liu, Pengchuan Zhang, Ruohan Zhang, Li Fei-Fei, Jiajun Wu
2024	—	`conf`	Evaluating Text-to-Visual Generation with Image-to-Text Generation. ECCV (9) Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan
2024	J	`jnl`	Evaluating Text-to-Visual Generation with Image-to-Text Generation. CoRR Zhiqiu Lin, Deepak Pathak, Baiqi Li, Jiayao Li, Xide Xia, Graham Neubig, Pengchuan Zhang, Deva Ramanan
2024	—	`conf`	Evaluating and Improving Compositional Text-to-Visual Generation. CVPR Workshops Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan
2024	J	`jnl`	GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation. CoRR Baiqi Li, Zhiqiu Lin, Deepak Pathak, Jiayao Li, Yixin Fei, Kewen Wu, Tiffany Ling, Xide Xia, Pengchuan Zhang, Graham Neubig, Deva Ramanan
2024	—	`conf`	Learning Video Context as Interleaved Multimodal Sequences. ECCV (49) Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou
2024	J	`jnl`	Learning Video Context as Interleaved Multimodal Sequences. CoRR Kevin Qinghong Lin, Pengchuan Zhang, Difei Gao, Xide Xia, Joya Chen, Ziteng Gao, Jinheng Xie, Xuhong Xiao, Mike Zheng Shou
2024	A*	`conf`	Revisiting the Role of Language Priors in Vision-Language Models. ICML Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan
2024	J	`jnl`	TLDR: Token-Level Detective Reward Model for Large Vision Language Models. CoRR Deqing Fu, Tong Xiao, Rui Wang, Wang Zhu, Pengchuan Zhang, Guan Pang, Robin Jia, Lawrence Chen
2023	A*	`conf`	Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. EMNLP Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen
2023	J	`jnl`	Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality. CoRR Harman Singh, Pengchuan Zhang, Qifan Wang, Mengjiao Wang, Wenhan Xiong, Jingfei Du, Yu Chen
2023	A*	`conf`	DIME-FM : DIstilling Multimodal and Efficient Foundation Models. ICCV Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia
2023	J	`jnl`	DIME-FM: DIstilling Multimodal and Efficient Foundation Models. CoRR Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia
2023	A*	`conf`	Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding. CVPR Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
2023	A*	`conf`	EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. ICCV Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang
2023	J	`jnl`	EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. CoRR Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang
2023	J	`jnl`	MiniGPT-v2: large language model as a unified interface for vision-language multi-task learning. CoRR Jun Chen, Deyao Zhu, Xiaoqian Shen, Xiang Li, Zechun Liu, Pengchuan Zhang, Raghuraman Krishnamoorthi, Vikas Chandra, Yunyang Xiong, Mohamed Elhoseiny
2023	A*	`conf`	Parameter-Efficient Model Adaptation for Vision Transformers. AAAI Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang
2023	—	`conf`	Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. ICCV (Workshops) Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim
2023	J	`jnl`	Revisiting Kernel Temporal Segmentation as an Adaptive Tokenizer for Long-form Video Understanding. CoRR Mohamed Afham, Satya Narayan Shukla, Omid Poursaeed, Pengchuan Zhang, Ashish Shah, Sernam Lim
2023	J	`jnl`	The Role of Chain-of-Thought in Complex Vision-Language Reasoning Task. CoRR Yifan Wu, Pengchuan Zhang, Wenhan Xiong, Barlas Oguz, James C. Gee, Yixin Nie
2023	A*	`conf`	UniVTG: Towards Unified Video-Language Temporal Grounding. ICCV Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou
2023	J	`jnl`	UniVTG: Towards Unified Video-Language Temporal Grounding. CoRR Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou
2023	J	`jnl`	VisualGPTScore: Visio-Linguistic Reasoning with Multimodal Generative Pre-Training Scores. CoRR Zhiqiu Lin, Xinyue Chen, Deepak Pathak, Pengchuan Zhang, Deva Ramanan
2022	A*	`conf`	3DB: A Framework for Debugging Computer Vision Models. NeurIPS Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
2022	J	`jnl`	A Unified Model for Tracking and Image-Video Detection Has More Power. CoRR Peirong Liu, Rui Wang, Pengchuan Zhang, Omid Poursaeed, Yipin Zhou, Xuefei Cao, Sreya Dutta Roy, Ashish Shah, Ser-Nam Lim
2022	A*	`conf`	An Empirical Study of Training End-to-End Vision-and-Language Transformers. CVPR Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng
2022	A*	`conf`	Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. NeurIPS Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang
2022	J	`jnl`	Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone. CoRR Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang
2022	J	`jnl`	Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding. CoRR Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang
2022	A*	`conf`	ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. NeurIPS Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, Jianfeng Gao
2022	J	`jnl`	ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models. CoRR Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao
2022	A*	`conf`	Efficient Self-supervised Vision Transformers for Representation Learning. ICLR Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao
2022	A*	`conf`	GLIPv2: Unifying Localization and Vision-Language Understanding. NeurIPS Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao
2022	J	`jnl`	GLIPv2: Unifying Localization and Vision-Language Understanding. CoRR Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao
2022	A*	`conf`	Grounded Language-Image Pre-training. CVPR Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao
2022	A*	`conf`	K-LITE: Learning Transferable Visual Models with External Knowledge. NeurIPS Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao
2022	J	`jnl`	K-LITE: Learning Transferable Visual Models with External Knowledge. CoRR Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Anna Rohrbach, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Jianfeng Gao
2022	A*	`conf`	Missingness Bias in Model Debugging. ICLR Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
2022	J	`jnl`	Missingness Bias in Model Debugging. CoRR Saachi Jain, Hadi Salman, Eric Wong, Pengchuan Zhang, Vibhav Vineet, Sai Vemprala, Aleksander Madry
2022	J	`jnl`	Parameter-efficient Fine-tuning for Vision Transformers. CoRR Xuehai He, Chunyuan Li, Pengchuan Zhang, Jianwei Yang, Xin Eric Wang
2022	A*	`conf`	RegionCLIP: Region-based Language-Image Pretraining. CVPR Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao
2022	A*	`conf`	Unified Contrastive Learning in Image-Text-Label Space. CVPR Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao
2022	J	`jnl`	Unified Contrastive Learning in Image-Text-Label Space. CoRR Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao
2022	J	`jnl`	Vision-Language Intelligence: Tasks, Representation Learning, and Large Models. CoRR Feng Li, Hao Zhang, Yifan Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, Pengchuan Zhang, Lei Zhang
2021	J	`jnl`	3DB: A Framework for Debugging Computer Vision Models. CoRR Guillaume Leclerc, Hadi Salman, Andrew Ilyas, Sai Vemprala, Logan Engstrom, Vibhav Vineet, Kai Yuanqing Xiao, Pengchuan Zhang, Shibani Santurkar, Greg Yang, Ashish Kapoor, Aleksander Madry
2021	J	`jnl`	An Empirical Study of Training End-to-End Vision-and-Language Transformers. CoRR Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng
2021	A*	`conf`	Dynamic DETR: End-to-End Object Detection with Dynamic Attention. ICCV Xiyang Dai, Yinpeng Chen, Jianwei Yang, Pengchuan Zhang, Lu Yuan, Lei Zhang
2021	J	`jnl`	Efficient Self-supervised Vision Transformers for Representation Learning. CoRR Chunyuan Li, Jianwei Yang, Pengchuan Zhang, Mei Gao, Bin Xiao, Xiyang Dai, Lu Yuan, Jianfeng Gao
2021	J	`jnl`	Florence: A New Foundation Model for Computer Vision. CoRR Lu Yuan, Dongdong Chen, Yi-ling Chen, Noel Codella, Xiyang Dai, Jianfeng Gao, Houdong Hu, Xuedong Huang, Boxin Li, Chunyuan Li, Ce Liu, Mengchen Liu, Zicheng Liu, Yumao Lu, Yu Shi, Lijuan Wang, Jianfeng Wang, Bin Xiao, Zhen Xiao, Jianwei Yang, Michael Zeng, Luowei Zhou, Pengchuan Zhang
2021	A*	`conf`	Focal Attention for Long-Range Interactions in Vision Transformers. NeurIPS Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao
2021	J	`jnl`	Focal Self-attention for Local-Global Interactions in Vision Transformers. CoRR Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Xiyang Dai, Bin Xiao, Lu Yuan, Jianfeng Gao
2021	J	`jnl`	Grounded Language-Image Pre-training. CoRR Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao
2021	J	`jnl`	Image Scene Graph Generation (SGG) Benchmark. CoRR Xiaotian Han, Jianwei Yang, Houdong Hu, Lei Zhang, Jianfeng Gao, Pengchuan Zhang
2021	A*	`conf`	Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding. ICCV Pengchuan Zhang, Xiyang Dai, Jianwei Yang, Bin Xiao, Lu Yuan, Lei Zhang, Jianfeng Gao
2021	J	`jnl`	Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding. CoRR Pengchuan Zhang, Xiyang Dai, Jianwei Yang, Bin Xiao, Lu Yuan, Lei Zhang, Jianfeng Gao
2021	A*	`conf`	Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference. ICML Shumao Zhang, Pengchuan Zhang, Thomas Y. Hou
2021	J	`jnl`	Multiscale Invertible Generative Networks for High-Dimensional Bayesian Inference. CoRR Shumao Zhang, Pengchuan Zhang, Thomas Y. Hou
2021	A*	`conf`	Object-Centric Image Generation from Layouts. AAAI Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma
2021	J	`jnl`	Out-of-distribution Prediction with Invariant Risk Minimization: The Limitation and An Effective Fix. CoRR Ruocheng Guo, Pengchuan Zhang, Hao Liu, Emre Kiciman
2021	J	`jnl`	RegionCLIP: Region-based Language-Image Pretraining. CoRR Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao
2021	J	`jnl`	VinVL: Making Visual Representations Matter in Vision-Language Models. CoRR Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao
2021	A*	`conf`	VinVL: Revisiting Visual Representations in Vision-Language Models. CVPR Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao
2020	—	`conf`	MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. ACCV (4) Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang
2020	J	`jnl`	MagGAN: High-Resolution Face Attribute Editing with Mask-Guided Generative Adversarial Network. CoRR Yi Wei, Zhe Gan, Wenbo Li, Siwei Lyu, Ming-Ching Chang, Lei Zhang, Jianfeng Gao, Pengchuan Zhang
2020	J	`jnl`	MiniVLM: A Smaller and Faster Vision-Language Model. CoRR Jianfeng Wang, Xiaowei Hu, Pengchuan Zhang, Xiujun Li, Lijuan Wang, Lei Zhang, Jianfeng Gao, Zicheng Liu
2020	J	`jnl`	Novel Human-Object Interaction Detection via Adversarial Domain Generalization. CoRR Yuhang Song, Wenbo Li, Lei Zhang, Jianwei Yang, Emre Kiciman, Hamid Palangi, Jianfeng Gao, C.-C. Jay Kuo, Pengchuan Zhang
2020	J	`jnl`	Object-Centric Image Generation from Layouts. CoRR Tristan Sylvain, Pengchuan Zhang, Yoshua Bengio, R. Devon Hjelm, Shikhar Sharma
2020	—	`conf`	Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. ECCV (30) Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
2020	J	`jnl`	Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks. CoRR Xiujun Li, Xi Yin, Chunyuan Li, Pengchuan Zhang, Xiaowei Hu, Lei Zhang, Lijuan Wang, Houdong Hu, Li Dong, Furu Wei, Yejin Choi, Jianfeng Gao
2020	J	`jnl`	Statistical Adaptive Stochastic Gradient Methods. CoRR Pengchuan Zhang, Hunter Lang, Qiang Liu, Lin Xiao
2019	A*	`conf`	A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. NeurIPS Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
2019	J	`jnl`	A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks. CoRR Hadi Salman, Greg Yang, Huan Zhang, Cho-Jui Hsieh, Pengchuan Zhang
2019	A*	`conf`	Object-Driven Text-To-Image Synthesis via Adversarial Training. CVPR Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao
2019	J	`jnl`	Object-driven Text-to-Image Synthesis via Adversarial Training. CoRR Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao
2019	A*	`conf`	Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. NeurIPS Hadi Salman, Jerry Li, Ilya P. Razenshteyn, Pengchuan Zhang, Huan Zhang, Sébastien Bubeck, Greg Yang
2019	J	`jnl`	Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers. CoRR Hadi Salman, Greg Yang, Jerry Li, Pengchuan Zhang, Huan Zhang, Ilya P. Razenshteyn, Sébastien Bubeck
2019	A*	`conf`	RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. AAAI Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh
2019	—	`conf`	TIGEr: Text-to-Image Grounding for Image Caption Evaluation. EMNLP/IJCNLP (1) Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao
2019	J	`jnl`	TIGEr: Text-to-Image Grounding for Image Caption Evaluation. CoRR Ming Jiang, Qiuyuan Huang, Lei Zhang, Xin Wang, Pengchuan Zhang, Zhe Gan, Jana Diesner, Jianfeng Gao
2019	A*	`conf`	Understanding the Role of Momentum in Stochastic Gradient Methods. NeurIPS Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao
2019	J	`jnl`	Understanding the Role of Momentum in Stochastic Gradient Methods. CoRR Igor Gitman, Hunter Lang, Pengchuan Zhang, Lin Xiao
2019	A*	`conf`	Using Statistics to Automate Stochastic Optimization. NeurIPS Hunter Lang, Lin Xiao, Pengchuan Zhang
2019	J	`jnl`	Using Statistics to Automate Stochastic Optimization. CoRR Hunter Lang, Pengchuan Zhang, Lin Xiao
2018	J	`jnl`	A bird's-eye view on coherence, and a worm's-eye view on cohesion. CoRR Woon Sang Cho, Pengchuan Zhang, Yizhe Zhang, Xiujun Li, Michel Galley, Mengdi Wang, Jianfeng Gao
2018	J	`jnl`	An Adaptive Fast Solver for a General Class of Positive Definite Matrices Via Energy Decomposition. Multiscale Model. Simul. Thomas Y. Hou, De Huang, Ka Chun Lam, Pengchuan Zhang
2018	A*	`conf`	AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks. CVPR Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He
2018	—	`conf`	On the Discrimination-Generalization Tradeoff in GANs. ICLR (Poster) Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He
2018	J	`jnl`	RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications. CoRR Huan Zhang, Pengchuan Zhang, Cho-Jui Hsieh
2018	A*	`conf`	Turbo Learning for CaptionBot and DrawingBot. NeurIPS Qiuyuan Huang, Pengchuan Zhang, Dapeng Oliver Wu, Lei Zhang
2018	J	`jnl`	Turbo Learning for Captionbot and Drawingbot. CoRR Qiuyuan Huang, Pengchuan Zhang, Dapeng Oliver Wu, Lei Zhang
2017	J	`jnl`	A Sparse Decomposition of Low Rank Symmetric Positive Semidefinite Matrices. Multiscale Model. Simul. Thomas Y. Hou, Qin Li, Pengchuan Zhang
2017	J	`jnl`	AttnGAN: Fine-Grained Text to Image Generation with Attentional Generative Adversarial Networks. CoRR Tao Xu, Pengchuan Zhang, Qiuyuan Huang, Han Zhang, Zhe Gan, Xiaolei Huang, Xiaodong He
2017	J	`jnl`	Exploring the Locally Low Dimensional Structure in Solving Random Elliptic PDEs. Multiscale Model. Simul. Thomas Y. Hou, Qin Li, Pengchuan Zhang
2017	J	`jnl`	On the Discrimination-Generalization Tradeoff in GANs. CoRR Pengchuan Zhang, Qiang Liu, Dengyong Zhou, Tao Xu, Xiaodong He