Pengguang Chen

42 papers A* 7Journal 33Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Dual-balancing for multi-task learning. Neural Networks Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu, Ivor W. Tsang, James T. Kwok
2026	J	`jnl`	VP-VLA: Visual Prompting as an Interface for Vision-Language-Action Models. CoRR Zixuan Wang, Yuxin Chen, Yuqi Liu, Jinhui Ye, Pengguang Chen, Changsheng Lu, Shu Liu, Jiaya Jia
2025	J	`jnl`	Generative Distribution Distillation. CoRR Jiequan Cui, Beier Zhu, Qingshan Xu, Xiaogang Xu, Pengguang Chen, Xiaojuan Qi, Bei Yu, Hanwang Zhang, Richang Hong
2025	A*	`conf`	MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation. ICLR Zhongshen Zeng, Pengguang Chen, Shu Liu, Haiyun Jiang, Jiaya Jia
2025	J	`jnl`	MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders. IEEE Trans. Pattern Anal. Mach. Intell. Baijiong Lin, Weisen Jiang, Pengguang Chen, Shu Liu, Ying-Cong Chen
2025	J	`jnl`	VLPose: Bridging the Domain Gap in Pose Estimation With Language-Vision Tuning. IEEE Trans. Pattern Anal. Mach. Intell. Jingyao Li, Pengguang Chen, Xuan Ju, Shu Liu, Hong Xu, Jiaya Jia
2024	J	`jnl`	BAL: Balancing Diversity and Novelty for Active Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
2024	—	`conf`	Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. ECCV (7) Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Yixun Liang, Shu Liu, Yingcong Chen
2024	J	`jnl`	MOODv2: Masked Image Modeling for Out-of-Distribution Detection. CoRR Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
2024	J	`jnl`	MOODv2: Masked Image Modeling for Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
2024	J	`jnl`	MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models. CoRR Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia
2024	A*	`conf`	MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs. NeurIPS Zhongshen Zeng, Yinhong Liu, Yingjia Wan, Jingyao Li, Pengguang Chen, Jianbo Dai, Yuxuan Yao, Rongwu Xu, Zehan Qi, Wanru Zhao, Linling Shen, Jianqiao Lu, Haochen Tan, Yukang Chen, Hao Zhang, Zhan Shi, Bailin Wang, Zhijiang Guo, Jiaya Jia
2024	J	`jnl`	MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders. CoRR Baijiong Lin, Weisen Jiang, Pengguang Chen, Shu Liu, Ying-Cong Chen
2024	J	`jnl`	MTMamba: Enhancing Multi-Task Dense Scene Understanding by Mamba-Based Decoders. CoRR Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
2024	—	`conf`	MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders. ECCV (70) Baijiong Lin, Weisen Jiang, Pengguang Chen, Yu Zhang, Shu Liu, Ying-Cong Chen
2024	J	`jnl`	RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models. CoRR Jingyao Li, Pengguang Chen, Sitong Wu, Chuanyang Zheng, Hong Xu, Jiaya Jia
2024	J	`jnl`	TagCLIP: Improving Discrimination Ability of Zero-Shot Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Jingyao Li, Pengguang Chen, Shengju Qian, Shu Liu, Jiaya Jia
2024	J	`jnl`	VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning. CoRR Jingyao Li, Pengguang Chen, Xuan Ju, Hong Xu, Jiaya Jia
2023	J	`jnl`	A Scale-Invariant Task Balancing Approach for Multi-Task Learning. CoRR Baijiong Lin, Weisen Jiang, Feiyang Ye, Yu Zhang, Pengguang Chen, Ying-Cong Chen, Shu Liu
2023	J	`jnl`	Adaptive Perspective Distillation for Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Zhuotao Tian, Pengguang Chen, Xin Lai, Li Jiang, Shu Liu, Hengshuang Zhao, Bei Yu, Ming-Chang Yang, Jiaya Jia
2023	J	`jnl`	BAL: Balancing Diversity and Novelty for Active Learning. CoRR Jingyao Li, Pengguang Chen, Shaozuo Yu, Shu Liu, Jiaya Jia
2023	J	`jnl`	Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs. CoRR Zhongshen Zeng, Pengguang Chen, Haiyun Jiang, Jiaya Jia
2023	J	`jnl`	Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. CoRR Shuai Yang, Zhifei Chen, Pengguang Chen, Xi Fang, Shu Liu, Yingcong Chen
2023	J	`jnl`	MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks. CoRR Jingyao Li, Pengguang Chen, Jiaya Jia
2023	A*	`conf`	Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. CVPR Jingyao Li, Pengguang Chen, Zexin He, Shaozuo Yu, Shu Liu, Jiaya Jia
2023	J	`jnl`	Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. CoRR Jingyao Li, Pengguang Chen, Shaozuo Yu, Zexin He, Shu Liu, Jiaya Jia
2023	J	`jnl`	TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation. CoRR Jingyao Li, Pengguang Chen, Shengju Qian, Jiaya Jia
2022	J	`jnl`	SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment. CoRR Yixin Chen, Zhuotao Tian, Pengguang Chen, Shu Liu, Jiaya Jia
2021	J	`jnl`	Adversarial Attacks on ML Defense Models Competition. CoRR Yinpeng Dong, Qi-An Fu, Xiao Yang, Wenzhao Xiang, Tianyu Pang, Hang Su, Jun Zhu, Jiayu Tang, Yuefeng Chen, Xiaofeng Mao, Yuan He, Hui Xue, Chao Li, Ye Liu, Qilong Zhang, Lianli Gao, Yunrui Yu, Xitong Gao, Zhe Zhao, Daquan Lin, Jiadong Lin, Chuanbiao Song, Zihao Wang, Zhennan Wu, Yang Guo, Jiequan Cui, Xiaogang Xu, Pengguang Chen
2021	A*	`conf`	Deep Structured Instance Graph for Distilling Object Detectors. ICCV Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia
2021	J	`jnl`	Deep Structured Instance Graph for Distilling Object Detectors. CoRR Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia
2021	A*	`conf`	Distilling Knowledge via Knowledge Review. CVPR Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia
2021	J	`jnl`	Distilling Knowledge via Knowledge Review. CoRR Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia
2021	J	`jnl`	Exploring and Improving Mobile Level Vision Transformers. CoRR Pengguang Chen, Yixin Chen, Shu Liu, Ming-Chang Yang, Jiaya Jia
2021	A*	`conf`	Jigsaw Clustering for Unsupervised Visual Representation Learning. CVPR Pengguang Chen, Shu Liu, Jiaya Jia
2021	J	`jnl`	Jigsaw Clustering for Unsupervised Visual Representation Learning. CoRR Pengguang Chen, Shu Liu, Jiaya Jia
2020	J	`jnl`	GridMask Data Augmentation. CoRR Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia
2019	A*	`conf`	Fast and Practical Neural Architecture Search. ICCV Jiequan Cui, Pengguang Chen, Ruiyu Li, Shu Liu, Xiaoyong Shen, Jiaya Jia
2018	J	`jnl`	A general framework for big data knowledge discovery and integration. Concurr. Comput. Pract. Exp. Xinyang Wang, Deyu Qi, Weiwei Lin, Mincong Yu, Zhishuo Zheng, Naqin Zhou, Pengguang Chen
2017	J	`jnl`	Ship Track Regression Based on Support Vector Machine. IEEE Access Bo Ban, Junjie Yang, Pengguang Chen, Jianbin Xiong, Qinruo Wang
2016	J	`jnl`	Combination of spatio-temporal and transform domain for sparse occlusion estimation by optical flow. Neurocomputing Pengguang Chen, Xingming Zhang, Pong C. Yuen, Aihua Mao
2016	J	`jnl`	Visual tracking via adaptive multi-task feature learning with calibration and identification. Signal Process. Image Commun. Pengguang Chen, Xingming Zhang, Aihua Mao, Jianbin Xiong