Peng Tang

According to our database, Peng Tang authored at least 36 papers between 2015 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

On the Analysis and Distillation of Emergent Outlier Properties in Pre-trained Language Models.

Tianyang Zhao, Kunwar Yashraj Singh, Srikar Appalaraju, Peng Tang, Ying Nian Wu, Li Erran Li

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Turbocharging Web Automation: The Impact of Compressed History States.

Xiyue Zhu, Peng Tang, Haofu Liao, Srikar Appalaraju

Proceedings of the Findings of the Association for Computational Linguistics, 2025

R-VLM: Region-Aware Vision Language Model for Precise GUI Grounding.

Joonhyung Park, Peng Tang, Sagnik Das, Srikar Appalaraju, Kunwar Yashraj Singh, R. Manmatha, Shabnam Ghadar

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models.

Peng Tang, Pengkai Zhu, Tian Li, Srikar Appalaraju, Vijay Mahadevan, R. Manmatha

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

Multiple-Question Multiple-Answer Text-VQA.

Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

DocKD: Knowledge Distillation from LLMs for Open-World Document Understanding Models.

Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

DocFormerv2: Local Features for Document Understanding.

Srikar Appalaraju, Peng Tang, Qi Dong, Nishant Sankaran, Yichu Zhou, R. Manmatha

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2021

Learning Inductive Attention Guidance for Partially Supervised Pancreatic Ductal Adenocarcinoma Prediction.

Yan Wang, Peng Tang, Yuyin Zhou, Wei Shen, Elliot K. Fishman, Alan L. Yuille

IEEE Trans. Medical Imaging, 2021

Proposal Learning for Semi-Supervised Object Detection.

Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

Shape-Texture Debiased Neural Network Training.

Yingwei Li, Qihang Yu, Mingxing Tan, Jieru Mei, Peng Tang, Wei Shen, Alan L. Yuille, Cihang Xie

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

Object Detection in Videos by High Quality Object Linking.

Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang

IEEE Trans. Pattern Anal. Mach. Intell., 2020

PCL: Proposal Cluster Learning for Weakly Supervised Object Detection.

Peng Tang, Xinggang Wang, Song Bai, Wei Shen, Xiang Bai, Wenyu Liu, Alan L. Yuille

IEEE Trans. Pattern Anal. Mach. Intell., 2020

Look Closer to Ground Better: Weakly-Supervised Temporal Grounding of Sentence in Video.

Zhenfang Chen, Lin Ma, Wenhan Luo, Peng Tang, Kwan-Yee K. Wong

CoRR, 2020

Proposal Learning for Semi-Supervised Object Detection.

Peng Tang, Chetan Ramaiah, Ran Xu, Caiming Xiong

CoRR, 2020

2019

Deep FisherNet for Image Classification.

Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu

IEEE Trans. Neural Networks Learn. Syst., 2019

Weakly- and Semi-Supervised Fast Region-Based CNN for Object Detection.

Xinggang Wang, Jiasi Wang, Peng Tang, Wenyu Liu

J. Comput. Sci. Technol., 2019

Bag similarity network for deep multi-instance learning.

Xinggang Wang, Yongluan Yan, Peng Tang, Wenyu Liu, Xiaojie Guo

Inf. Sci., 2019

Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models.

Hongru Zhu, Peng Tang, Alan L. Yuille

CoRR, 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

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Re-Ranking via Metric Fusion for Object Retrieval and Person Re-Identification.

Song Bai, Peng Tang, Philip H. S. Torr, Longin Jan Latecki

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Robustness of Object Recognition under Extreme Occlusion in Humans and Computational Models.

Hongru Zhu, Peng Tang, Alan L. Yuille, Soojin Park, Jeongho Park

Proceedings of the 41th Annual Meeting of the Cognitive Science Society, 2019

2018

Revisiting multiple instance neural networks.

Xinggang Wang, Yongluan Yan, Peng Tang, Xiang Bai, Wenyu Liu

Pattern Recognit., 2018

Semi-supervised multi-organ segmentation via multi-planar co-training.

Yuyin Zhou, Yan Wang, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille

CoRR, 2018

Object Detection in Videos by Short and Long Range Object Linking.

Peng Tang, Chunyu Wang, Xinggang Wang, Wenyu Liu, Wenjun Zeng, Jingdong Wang

CoRR, 2018

Training Multi-organ Segmentation Networks with Sample Selection by Relaxed Upper Confident Bound.

Yan Wang, Yuyin Zhou, Peng Tang, Wei Shen, Elliot K. Fishman, Alan L. Yuille

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Rethinking ReLU to Train Better CNNs.

Gangming Zhao, Zhaoxiang Zhang, He Guan, Peng Tang, Jingdong Wang

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Weakly Supervised Region Proposal Network and Object Detection.

Peng Tang, Xinggang Wang, Angtian Wang, Yongluan Yan, Wenyu Liu, Junzhou Huang, Alan L. Yuille

Proceedings of the Computer Vision - ECCV 2018, 2018

2017

Learning Multi-Instance Deep Discriminative Patterns for Image Classification.

Peng Tang, Xinggang Wang, Bin Feng, Wenyu Liu

IEEE Trans. Image Process., 2017

Deep patch learning for weakly supervised object classification and discovery.

Peng Tang, Xinggang Wang, Zilong Huang, Xiang Bai, Wenyu Liu

Pattern Recognit., 2017

Learning extremely shared middle-level image representation for scene classification.

Peng Tang, Jin Zhang, Xinggang Wang, Bin Feng, Fabio Roli, Wenyu Liu

Knowl. Inf. Syst., 2017

Multiple Instance Detection Network with Online Instance Classifier Refinement.

Peng Tang, Xinggang Wang, Xiang Bai, Wenyu Liu

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Deep FisherNet for Object Classification.

Peng Tang, Xinggang Wang, Baoguang Shi, Xiang Bai, Wenyu Liu, Zhuowen Tu

CoRR, 2016

Latent information mining for semi-supervised sentiment classification in catering reviews.

Jia Feng, Peng Tang, Bin Feng, Wenyu Liu

Proceedings of the 8th International Conference on Wireless Communications & Signal Processing, 2016

2015

Fisher vector with weakly-supervised Gaussian dictionary for scene classification.

Peng Tang, Bin Feng, Xinggang Wang, Bi Li, Sihua Yi, Wenyu Liu

Proceedings of the International Conference on Wireless Communications & Signal Processing, 2015