Combination of spatio-temporal and transform domain for sparse occlusion estimation by optical flow. - Pengguang Chen; Xingming Zhang 001; Pong C. Yuen; Aihua Mao (Neurocomputing, 2016)

Visual tracking via adaptive multi-task feature learning with calibration and identification. - Pengguang Chen; Xingming Zhang 001; Aihua Mao; Jianbin Xiong (Signal Process. Image Commun., 2016)

Ship Track Regression Based on Support Vector Machine. - Bo Ban; Junjie Yang; Pengguang Chen; Jianbin Xiong; Qinruo Wang (IEEE Access, 2017)

A general framework for big data knowledge discovery and integration. - Xinyang Wang; Deyu Qi 001; Weiwei Lin 001; Mincong Yu; Zhishuo Zheng; Naqin Zhou; Pengguang Chen (Concurr. Comput. Pract. Exp., 2018)

Fast and Practical Neural Architecture Search. - Jiequan Cui; Pengguang Chen; Ruiyu Li; Shu Liu 005; Xiaoyong Shen; Jiaya Jia (ICCV, 2019)

GridMask Data Augmentation. - Pengguang Chen; Shu Liu 005; Hengshuang Zhao; Jiaya Jia (CoRR, 2020)

Jigsaw Clustering for Unsupervised Visual Representation Learning. - Pengguang Chen; Shu Liu 005; Jiaya Jia (CVPR, 2021)

Distilling Knowledge via Knowledge Review. - Pengguang Chen; Shu Liu 005; Hengshuang Zhao; Jiaya Jia (CVPR, 2021)

Deep Structured Instance Graph for Distilling Object Detectors. - Yixin Chen; Pengguang Chen; Shu Liu 005; Liwei Wang 009; Jiaya Jia (ICCV, 2021)

Exploring and Improving Mobile Level Vision Transformers. - Pengguang Chen; Yixin Chen; Shu Liu 005; Ming-Chang Yang; Jiaya Jia (CoRR, 2021)

Adversarial Attacks on ML Defense Models Competition. - Yinpeng Dong; Qi-An Fu; Xiao Yang; Wenzhao Xiang 001; Tianyu Pang; Hang Su 006; Jun Zhu 001; Jiayu Tang; Yuefeng Chen; Xiaofeng Mao; Yuan He 011; Hui Xue 001; et al. (CoRR, 2021)

SEA: Bridging the Gap Between One- and Two-stage Detector Distillation via SEmantic-aware Alignment. - Yixin Chen; Zhuotao Tian; Pengguang Chen; Shu Liu 005; Jiaya Jia (CoRR, 2022)

Rethinking Out-of-distribution (OOD) Detection: Masked Image Modeling is All You Need. - Jingyao Li; Pengguang Chen; Zexin He; Shaozuo Yu; Shu Liu 005; Jiaya Jia (CVPR, 2023)

TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation. - Jingyao Li; Pengguang Chen; Shengju Qian; Jiaya Jia (CoRR, 2023)

A Scale-Invariant Task Balancing Approach for Multi-Task Learning. - Baijiong Lin; Weisen Jiang; Feiyang Ye 001; Yu Zhang 006; Pengguang Chen; Ying-Cong Chen; Shu Liu 005 (CoRR, 2023)

Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. - Shuai Yang; Zhifei Chen; Pengguang Chen; Xi Fang; Shu Liu 005; Yingcong Chen (CoRR, 2023)

MoTCoder: Elevating Large Language Models with Modular of Thought for Challenging Programming Tasks. - Jingyao Li; Pengguang Chen; Jiaya Jia (CoRR, 2023)

Challenge LLMs to Reason About Reasoning: A Benchmark to Unveil Cognitive Depth in LLMs. - Zhongshen Zeng; Pengguang Chen; Haiyun Jiang; Jiaya Jia (CoRR, 2023)

Adaptive Perspective Distillation for Semantic Segmentation. - Zhuotao Tian; Pengguang Chen; Xin Lai; Li Jiang 009; Shu Liu 005; Hengshuang Zhao; Bei Yu 001; Ming-Chang Yang; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MTMamba: Enhancing Multi-task Dense Scene Understanding by Mamba-Based Decoders. - Baijiong Lin; Weisen Jiang; Pengguang Chen; Yu Zhang 006; Shu Liu 005; Ying-Cong Chen (ECCV (70), 2024)

Defect Spectrum: A Granular Look of Large-Scale Defect Datasets with Rich Semantics. - Shuai Yang; Zhifei Chen; Pengguang Chen; Xi Fang; Yixun Liang; Shu Liu 005; Yingcong Chen (ECCV (7), 2024)

MR-Ben: A Meta-Reasoning Benchmark for Evaluating System-2 Thinking in LLMs. - Zhongshen Zeng; Yinhong Liu; Yingjia Wan; Jingyao Li; Pengguang Chen; Jianbo Dai; Yuxuan Yao; Rongwu Xu; Zehan Qi; Wanru Zhao; Linling Shen; Jianqiao Lu; et al. (NeurIPS, 2024)

VLPose: Bridging the Domain Gap in Pose Estimation with Language-Vision Tuning. - Jingyao Li; Pengguang Chen; Xuan Ju; Hong Xu 001; Jiaya Jia (CoRR, 2024)

RoboCoder: Robotic Learning from Basic Skills to General Tasks with Large Language Models. - Jingyao Li; Pengguang Chen; Sitong Wu; Chuanyang Zheng; Hong Xu 001; Jiaya Jia (CoRR, 2024)

MR-BEN: A Comprehensive Meta-Reasoning Benchmark for Large Language Models. - Zhongshen Zeng; Yinhong Liu; Yingjia Wan; Jingyao Li; Pengguang Chen; Jianbo Dai; Yuxuan Yao; Rongwu Xu; Zehan Qi; Wanru Zhao; Linling Shen; Jianqiao Lu; et al. (CoRR, 2024)

MTMamba++: Enhancing Multi-Task Dense Scene Understanding via Mamba-Based Decoders. - Baijiong Lin; Weisen Jiang; Pengguang Chen; Shu Liu 005; Ying-Cong Chen (CoRR, 2024)

BAL: Balancing Diversity and Novelty for Active Learning. - Jingyao Li; Pengguang Chen; Shaozuo Yu; Shu Liu 005; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

TagCLIP: Improving Discrimination Ability of Zero-Shot Semantic Segmentation. - Jingyao Li; Pengguang Chen; Shengju Qian; Shu Liu 005; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MOODv2: Masked Image Modeling for Out-of-Distribution Detection. - Jingyao Li; Pengguang Chen; Shaozuo Yu; Shu Liu 005; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation. - Zhongshen Zeng; Pengguang Chen; Shu Liu 005; Haiyun Jiang; Jiaya Jia (ICLR, 2025)

Generative Distribution Distillation. - Jiequan Cui; Beier Zhu; Qingshan Xu 001; Xiaogang Xu 002; Pengguang Chen; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang; Richang Hong (CoRR, 2025)