Automated Segmentation of Brain Gray Matter Nuclei on Quantitative Susceptibility Mapping Using Deep Convolutional Neural Network. - Chao Chai; Pengchong Qiao; Bin Zhao; Huiying Wang; Guohua Liu; Hong Wu; E. Mark Haacke; Wen Shen 008; Chen Cao 007; Xinchen Ye; Zhiyang Liu; Shuang Xia (CoRR, 2020)

Hard-Boundary Attention Network for Nuclei Instance Segmentation. - Yalu Cheng; Pengchong Qiao; Hongliang He; Guoli Song; Jie Chen 001 (MMAsia, 2021)

Brain gray matter nuclei segmentation on quantitative susceptibility mapping using dual-branch convolutional neural network. - Chao Chai; Pengchong Qiao; Bin Zhao; Huiying Wang; Guohua Liu; Hong Wu; Wen Shen 008; Chen Cao 007; Xinchen Ye; Zhiyang Liu; Shuang Xia (Artif. Intell. Medicine, 2022)

Difference in Euclidean Norm Can Cause Semantic Divergence in Batch Normalization. - Zhennan Wang 001; Kehan Li 002; Runyi Yu 002; Yian Zhao; Pengchong Qiao; Guoli Song; Fan Xu; Jie Chen 001 (CoRR, 2022)

PCR: Pessimistic Consistency Regularization for Semi-Supervised Segmentation. - Pengchong Qiao; Zhidan Wei; Yu Wang; Chang Liu 030; Zhennan Wang 001; Guoli Song; Jie Chen 001 (CoRR, 2022)

Out-of-Candidate Rectification for Weakly Supervised Semantic Segmentation. - Zesen Cheng; Pengchong Qiao; Kehan Li 002; Siheng Li; Pengxu Wei; Xiangyang Ji; Li Yuan 007; Chang Liu 030; Jie Chen 001 (CVPR, 2023)

Fuzzy Positive Learning for Semi-Supervised Semantic Segmentation. - Pengchong Qiao; Zhidan Wei; Yu Wang; Zhennan Wang 001; Guoli Song; Fan Xu; Xiangyang Ji; Chang Liu 030; Jie Chen 001 (CVPR, 2023)

Out-of-Distributed Semantic Pruning for Robust Semi-Supervised Learning. - Yu Wang; Pengchong Qiao; Chang Liu 030; Guoli Song; Xiawu Zheng; Jie Chen 001 (CVPR, 2023)

Discover and Align Taxonomic Context Priors for Open-world Semi-Supervised Learning. - Yu Wang; Zhun Zhong; Pengchong Qiao; Xuxin Cheng; Xiawu Zheng; Chang Liu 030; Nicu Sebe; Rongrong Ji; Jie Chen 001 (NeurIPS, 2023)

Semi-Supervised CT Lesion Segmentation Using Uncertainty-Based Data Pairing and SwapMix. - Pengchong Qiao; Han Li; Guoli Song; Hu Han 001; Zhiqiang Gao; Yonghong Tian 001; Yongsheng Liang 001; Xi Li 011; S. Kevin Zhou; Jie Chen 001 (IEEE Trans. Medical Imaging, 2023)

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-Shot Subject-Driven Generation. - Pengchong Qiao; Lei Shang; Chang Liu; Baigui Sun; Xiangyang Ji; Jie Chen (CVPR, 2024)

GraCo: Granularity-Controllable Interactive Segmentation. - Yian Zhao; Kehan Li 002; Zesen Cheng; Pengchong Qiao; Xiawu Zheng; Rongrong Ji; Chang Liu 030; Li Yuan 007; Jie Chen 001 (CVPR, 2024)

FaceChain-SuDe: Building Derived Class to Inherit Category Attributes for One-shot Subject-Driven Generation. - Pengchong Qiao; Lei Shang; Chang Liu 030; Baigui Sun; Xiangyang Ji; Jie Chen 001 (CoRR, 2024)

An Organ-Aware Diagnosis Framework for Radiology Report Generation. - Shiyu Li; Pengchong Qiao; Lin Wang 026; Munan Ning; Li Yuan 007; Yefeng Zheng 001; Jie Chen 001 (IEEE Trans. Medical Imaging, 2024)

DigitalLLaVA: Incorporating Digital Cognition Capability for Physical World Comprehension in Multimodal LLMs. - Shiyu Li; Pengxu Wei; Pengchong Qiao; Chang Liu 030; Jie Chen 001 (AAAI, 2025)

iSegMan: Interactive Segment-and-Manipulate 3D Gaussians. - Yian Zhao; Wanshi Xu; Ruochong Zheng; Pengchong Qiao; Chang Liu; Jie Chen (CVPR, 2025)

Joint Global-Local Frames Modeling to enhance semantic alignment for zero-shot long video editing. - Zewen Yu; Pengchong Qiao; Jie Chen; Xiaoqin Zhang 002 (Neurocomputing, 2025)

Dual-Level Masked Semantic Inference for Semi-Supervised Semantic Segmentation. - Qiankun Ma; Ziyao Zhang; Pengchong Qiao; Yu Wang; Rongrong Ji; Chang Liu 047; Jie Chen 001 (IEEE Trans. Multim., 2025)

Adaptive Fuzzy Positive Learning for Annotation-Scarce Semantic Segmentation. - Pengchong Qiao; Yu Wang; Chang Liu 030; Lei Shang; Baigui Sun; Zhennan Wang 001; Xiawu Zheng; Rongrong Ji; Jie Chen 001 (Int. J. Comput. Vis., 2025)