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ORCIDPeng Tang 0005
Person information
- affiliation: Amazon AWS AI Labs
- affiliation: Salesforce Research, Palo Alto, CA, USA
- affiliation (PhD 2019): Huazhong University of Science & Technology, School of Electronic Information and Communications, Wuhan, China
Other persons with the same name
- Peng Tang — disambiguation page
- Peng Tang 0001
![[0009-0002-1222-9665]](https://dblp.org/img/orcid-mark.12x12.png "0009-0002-1222-9665")
— PLA Army Engineering University, College of Communications Engineering, Nanjing, China - Peng Tang 0002 — Shanghai Jiao Tong University, School of Cyber Science and Engineering, China
- Peng Tang 0003 — Southwest University, College of Computer and Information Science, Chongqing, China (and 2 more)
- Peng Tang 0004 — Tencent YouTu Lab (and 1 more)
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2020 – today
- 2025
[c20]Xiyue Zhu, Peng Tang, Haofu Liao, Srikar Appalaraju:
Turbocharging Web Automation: The Impact of Compressed History States. ACL (Findings) 2025: 3644-3651- [c19]Joonhyung Park, Peng Tang, Sagnik Das, Srikar Appalaraju, Kunwar Yashraj Singh, R. Manmatha, Shabnam Ghadar:
R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding. ACL (Findings) 2025: 9669-9685 - [c18]Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Ying Nian Wu, Li Erran Li:
On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models. NAACL (Long Papers) 2025: 8475-8507 - [i20]Joonhyung Park, Peng Tang, Sagnik Das, Srikar Appalaraju, Kunwar Yashraj Singh, R. Manmatha, Shabnam Ghadar:
R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding. CoRR abs/2507.05673 (2025) - [i19]Xiyue Zhu, Peng Tang, Haofu Liao, Srikar Appalaraju:
Turbocharging Web Automation: The Impact of Compressed History States. CoRR abs/2507.21369 (2025) - 2024
- [c17]Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha:
DocFormerv2: Local Features for Document Understanding. AAAI 2024: 709-718 - [c16]Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Vijay Mahadevan, R. Manmatha, Ying Nian Wu:
No Head Left Behind - Multi-Head Alignment Distillation for Transformers. AAAI 2024: 7514-7524 - [c15]Zhuowan Li, Bhavan Jasani, Peng Tang, Shabnam Ghadar:
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA. CVPR 2024: 13613-13623 - [c14]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. EMNLP 2024: 3167-3193 - [c13]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. NAACL (Industry Track) 2024: 73-88 - [c12]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. NAACL-HLT (Findings) 2024: 116-131 - [i18]Zhuowan Li, Bhavan Jasani, Peng Tang, Shabnam Ghadar:
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA. CoRR abs/2403.16385 (2024) - [i17]Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto:
DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models. CoRR abs/2410.03061 (2024) - 2023
- [i16]Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha:
DocFormerv2: Local Features for Document Understanding. CoRR abs/2306.01733 (2023) - [i15]Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. CoRR abs/2311.08622 (2023) - [i14]Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha:
DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models. CoRR abs/2311.08623 (2023) - 2021
- [j10]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. IEEE Trans. Medical Imaging 40(10): 2723-2735 (2021) - [c11]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. ICLR 2021 - [c10]Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. WACV 2021: 2290-2300 - [i13]Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction. CoRR abs/2105.14773 (2021) - 2020
- [j9]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. IEEE Trans. Pattern Anal. Mach. Intell. 42(1): 176-191 (2020) - [j8]Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang:
Object Detection in Videos by High Quality Object Linking. IEEE Trans. Pattern Anal. Mach. Intell. 42(5): 1272-1278 (2020) - [i12]Peng Tang, Chetan Ramaiah, Ran Xu, Caiming Xiong:
Proposal Learning for Semi-Supervised Object Detection. CoRR abs/2001.05086 (2020) - [i11]Zhenfang Chen, Lin Ma, Wenhan Luo, Peng Tang, Kwan-Yee K. Wong:
Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video. CoRR abs/2001.09308 (2020) - [i10]Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie:
Shape-Texture Debiased Neural Network Training. CoRR abs/2010.05981 (2020)
2010 – 2019
- 2019
- [j7]Xinggang Wang, Yongluan Yan, Peng Tang, Wenyu Liu, Xiaojie Guo:
Bag similarity network for deep multi-instance learning. Inf. Sci. 504: 578-588 (2019) - [j6]Xinggang Wang, Jiasi Wang, Peng Tang, Wenyu Liu:
Weakly- and Semi-Supervised Fast Region-Based CNN for Object Detection. J. Comput. Sci. Technol. 34(6): 1269-1278 (2019) - [j5]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Image Classification. IEEE Trans. Neural Networks Learn. Syst. 30(7): 2244-2250 (2019) - [c9]Hongru Zhu, Peng Tang, Alan L. Yuille, Soojin Park, Jeongho Park:
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. CogSci 2019: 3213-3219 - [c8]Song Bai, Peng Tang, Philip H. S. Torr, Longin Jan Latecki:
Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification. CVPR 2019: 740-749 - [c7]Yuyin Zhou, Yan Wang, Peng Tang, Song Bai, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-Supervised 3D Abdominal Multi-Organ Segmentation Via Deep Multi-Planar Co-Training. WACV 2019: 121-140 - [i9]Hongru Zhu, Peng Tang, Alan L. Yuille:
Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models. CoRR abs/1905.04598 (2019) - 2018
- [j4]Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu:
Revisiting multiple instance neural networks. Pattern Recognit. 74: 15-24 (2018) - [c6]Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille:
Weakly Supervised Region Proposal Network and Object Detection. ECCV (11) 2018: 370-386 - [c5]Gangming Zhao, Zhaoxiang Zhang, He Guan, Peng Tang, Jingdong Wang:
Rethinking ReLU to Train Better CNNs. ICPR 2018: 603-608 - [c4]Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. MICCAI (4) 2018: 434-442 - [i8]Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang:
Object Detection in Videos by Short and Long Range Object Linking. CoRR abs/1801.09823 (2018) - [i7]Yuyin Zhou, Yan Wang, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Semi-supervised multi-organ segmentation via multi-planar co-training. CoRR abs/1804.02586 (2018) - [i6]Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille:
Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound. CoRR abs/1804.02595 (2018) - [i5]Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille:
PCL: Proposal Cluster Learning for Weakly Supervised Object Detection. CoRR abs/1807.03342 (2018) - 2017
- [j3]Peng Tang, Jin Zhang, Xinggang Wang, Bin Feng, Fabio Roli, Wenyu Liu:
Learning extremely shared middle-level image representation for scene classification. Knowl. Inf. Syst. 52(2): 509-530 (2017) - [j2]Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu:
Deep patch learning for weakly supervised object classification and discovery. Pattern Recognit. 71: 446-459 (2017) - [j1]Peng Tang, Xinggang Wang, Bin Feng, Wenyu Liu:
Learning Multi-Instance Deep Discriminative Patterns for Image Classification. IEEE Trans. Image Process. 26(7): 3385-3396 (2017) - [c3]Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu:
Multiple Instance Detection Network with Online Instance Classifier Refinement. CVPR 2017: 3059-3067 - [i4]Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu:
Multiple Instance Detection Network with Online Instance Classifier Refinement. CoRR abs/1704.00138 (2017) - [i3]Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu:
Deep Patch Learning for Weakly Supervised Object Classification and Discovery. CoRR abs/1705.02429 (2017) - 2016
- [c2]Jia Feng, Peng Tang, Bin Feng, Wenyu Liu:
Latent information mining for semi-supervised sentiment classification in catering reviews. WCSP 2016: 1-5 - [i2]Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu:
Deep FisherNet for Object Classification. CoRR abs/1608.00182 (2016) - [i1]Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu:
Revisiting Multiple Instance Neural Networks. CoRR abs/1610.02501 (2016) - 2015
- [c1]Peng Tang, Bin Feng, Xinggang Wang, Bi Li, Sihua Yi, Wenyu Liu:
Fisher vector with weakly-supervised Gaussian dictionary for scene classification. WCSP 2015: 1-5
Coauthor Index
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