Representation Learning with Smooth Autoencoder. - Kongming Liang; Hong Chang 001; Zhen Cui 001; Shiguang Shan; Xilin Chen 001 (ACCV (2), 2014)

A Unified Multiplicative Framework for Attribute Learning. - Kongming Liang; Hong Chang 001; Shiguang Shan; Xilin Chen 001 (ICCV, 2015)

Attribute Conjunction Learning with Recurrent Neural Network. - Kongming Liang; Hong Chang 001; Shiguang Shan; Xilin Chen 001 (ECML/PKDD (1), 2016)

Incomplete Attribute Learning with auxiliary labels. - Kongming Liang; Yuhong Guo; Hong Chang 001; Xilin Chen 001 (IJCAI, 2017)

Visual Relationship Detection With Deep Structural Ranking. - Kongming Liang; Yuhong Guo; Hong Chang 001; Xilin Chen 001 (AAAI, 2018)

FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. - Huikai Wu; Junge Zhang; Kaiqi Huang; Kongming Liang; Yizhou Yu (CoRR, 2019)

Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework. - Kongming Liang; Hong Chang 001; Bingpeng Ma; Shiguang Shan; Xilin Chen 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions. - Chenghao Liu; Fengqian Pang; Yanlin Liu; Kongming Liang; Xiuli Li; Xiangzhu Zeng; Chuyang Ye (ISBI, 2020)

Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation. - Shen Wang; Kongming Liang; Chengwei Pan; Chuyang Ye; Xiuli Li; Feng Liu 036; Yizhou Yu; Yizhou Wang 001 (ISBI, 2020)

Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. - Shen Wang; Kongming Liang; Yiming Li; Yizhou Yu; Yizhou Wang 001 (MICCAI (7), 2020)

Visual concept conjunction learning with recurrent neural networks. - Kongming Liang; Hong Chang 001; Shiguang Shan; Xilin Chen 001 (Neurocomputing, 2020)

Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images. - Kongming Liang; Kai Han 010; Xiuli Li; Xiaoqing Cheng; Yiming Li; Yizhou Wang 001; Yizhou Yu (MICCAI (7), 2021)

Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. - Chenghao Liu; Xiangzhu Zeng; Kongming Liang; Yizhou Yu; Chuyang Ye (MICCAI (1), 2021)

Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. - Chenyu Guo; Jiyang Xie 001; Kongming Liang; Xian Sun; Zhanyu Ma (MMAsia, 2021)

Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. - Dongliang Chang; Yixiao Zheng; Zhanyu Ma; Ruoyi Du; Kongming Liang (CoRR, 2021)

DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. - Junhui Yin; Zhanyu Ma; Jiyang Xie 001; Shibo Nie; Kongming Liang; Jun Guo 002 (CoRR, 2021)

Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency. - Xiangxuan Shan; Zijin Yin; Jiayi Gao; Kongming Liang; Zhanyu Ma; Jun Guo 002 (CICAI (1), 2022)

Learning Invariant Visual Representations for Compositional Zero-Shot Learning. - Tian Zhang; Kongming Liang; Ruoyi Du; Xian Sun; Zhanyu Ma; Jun Guo 002 (ECCV (24), 2022)

Duplex Contextual Relation Network For Polyp Segmentation. - Zijin Yin; Kongming Liang; Zhanyu Ma; Jun Guo 002 (ISBI, 2022)

Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction. - Jingye Wang; Ruoyi Du; Dongliang Chang; Kongming Liang; Zhanyu Ma (ACM Multimedia, 2022)

Complex Scenario-Oriented Fine-Grained Visual Classification Platform. - Dongliang Chang; Junhan Chen; Xinran Wang; Ruoyi Du; Wenqing Yu; Yufan Liu; Yujun Tong; Kongming Liang; Yi-Zhe Song; Zhanyu Ma (MMSP, 2022)

Multi-modal Human-machine Conversation System for Real Physical World. - Yitao Chen; Shibo Nie; Mandan Guan; Jie Wang; Ruoyi Du; Dongliang Chang; Kongming Liang; Zhanyu Ma (MMSP, 2022)

Dual-granularity feature alignment for cross-modality person re-identification. - Junhui Yin; Zhanyu Ma; Jiyang Xie 001; Shibo Nie; Kongming Liang; Jun Guo 002 (Neurocomputing, 2022)

On-the-Fly Category Discovery. - Ruoyi Du; Dongliang Chang; Kongming Liang; Timothy M. Hospedales; Yi-Zhe Song; Zhanyu Ma (CVPR, 2023)

Semantic Centralized Contrastive Learning for Unsupervised Hashing. - Fengming Liang; Changlin Fan; Bo Xiao; Kongming Liang (ICASSP, 2023)

Super-Resolution Information Enhancement for Crowd Counting. - Jiahao Xie; Wei Xu 037; Dingkang Liang; Zhanyu Ma; Kongming Liang; Weidong Liu; Rui Wang; Ling Jin (ICASSP, 2023)

Multi-Head Uncertainty Inference for Adversarial Attack Detection. - Yuqi Yang; Songyun Yang; Jiyang Xie 001; Zhongwei Si; Kai Guo; Ke Zhang; Kongming Liang (ICASSP, 2023)

Semantic Memory Guided Image Representation for Polyp Segmentation. - Zijin Yin; Runpu Wei; Kongming Liang; Yiyang Lin; Wei Liu; Zhanyu Ma; Min Min; Jun Guo 002 (ICASSP, 2023)

Self-Enhanced Training Framework for Referring Expression Grounding. - Yitao Chen; Ruoyi Du; Kongming Liang; Zhanyu Ma (ICIP, 2023)

Attribute Learning with Knowledge Enhanced Partial Annotations. - Kongming Liang; Xinran Wang; Tao Wei; Wei Chen 071; Zhanyu Ma; Jun Guo 002 (ICIP, 2023)

Vision-Language Assisted Attribute Learning. - Kongming Liang; Xinran Wang; Rui Wang; Donghui Gao; Ling Jin; Weidong Liu; Xiatian Zhu; Zhanyu Ma; Jun Guo 002 (IC-NIDC, 2023)

Bilinear Adversarial Network for Fine-Grained Domain Adaptation. - Wenqing Yu; Dongliang Chang; Kongming Liang; Zhanyu Ma (IC-NIDC, 2023)

Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images. - Yi Zhong; Mengqiu Xu; Kongming Liang; Kaixin Chen 001; Ming Wu 001 (MICCAI (4), 2023)

Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models. - Yinuo Jing; Chunyu Wang 001; Ruxu Zhang; Kongming Liang; Zhanyu Ma (ACM Multimedia, 2023)

Hierarchical Visual Attribute Learning in the Wild. - Kongming Liang; Xinran Wang; Haiwen Zhang; Zhanyu Ma; Jun Guo 002 (ACM Multimedia, 2023)

Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions. - Mandan Guan; Wenqing Yu; Yurong Guo; Keyan Huang; Jiaxun Zhang; Kongming Liang; Zhanyu Ma (PRCV (2), 2023)

Plugging Stylized Controls in Open-Stylized Image Captioning. - Jie Wang; Yixiao Zheng; Ruoyi Du; Yiming Zhang 025; Kongming Liang; Zhanyu Ma (PRCV (1), 2023)

Image Generation Based Intra-class Variance Smoothing for Fine-Grained Visual Classification. - Zihan Yan; Ruoyi Du; Kongming Liang; Tao Wei; Wei Chen 071; Zhanyu Ma (PRCV (6), 2023)

Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. - Gangming Zhao; Kongming Liang; Chengwei Pan; Fandong Zhang; Xianpeng Wu; Xinyang Hu; Yizhou Yu (CoRR, 2023)

Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. - Gangming Zhao; Kongming Liang; Chengwei Pan; Fandong Zhang; Xianpeng Wu; Xinyang Hu; Yizhou Yu (IEEE Trans. Medical Imaging, 2023)

Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. - Jiayi Gao; Kongming Liang; Tao Wei; Wei Chen 071; Zhanyu Ma; Jun Guo 002 (AAAI, 2024)

Class-Aware Contrastive Learning for Fine-Grained Skeleton-Based Action Recognition. - Xinyu Bian; Dongliang Chang; Yuqi Yang; Zhongjiang He; Kongming Liang; Zhanyu Ma (ACCV (1), 2024)

Hierarchical Prompting for Diffusion Classifiers. - Wenxin Ning; Dongliang Chang; Yujun Tong; Zhongjiang He; Kongming Liang; Zhanyu Ma (ACCV (8), 2024)

Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing. - Runpu Wei; Zijin Yin; Kongming Liang; Min Min; Chengwei Pan; Gang Yu; Haonan Huang; Yan Liu; Zhanyu Ma (BIBM, 2024)

Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. - Zijin Yin; Kongming Liang; Bing Li 015; Zhanyu Ma; Jun Guo 002 (CVPR, 2024)

SLNL: Soft Label Regularization For Semi-Supervised Facial Expression Recognition With Negative Label Learning. - Youwei Zhang; Jing Jiang; Yuying Zhao; Kongming Liang (ICIP, 2024)

Learning Conditional Prompt for Compositional Zero-Shot Learning. - Tian Zhang; Kongming Liang; Ke Zhang 005; Zhanyu Ma (ICME, 2024)

Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. - Wenjie Li; Heng Guo 003; Xuannan Liu; Kongming Liang; Jiani Hu; Zhanyu Ma; Jun Guo 002 (ACM Multimedia, 2024)

Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding. - Yinuo Jing; Ruxu Zhang; Kongming Liang; Yongxiang Li; Zhongjiang He; Zhanyu Ma; Jun Guo 002 (NeurIPS, 2024)

Mixture-of-Hand-Experts: Repainting the Deformed Hand Images Generated by Diffusion Models. - Yuxuan Wang; Tianwei Cao; Kongming Liang; Zhongjiang He; Hao Sun 015; Yongxiang Li; Zhanyu Ma (PRCV (5), 2024)

Evaluating Attribute Comprehension in Large Vision-Language Models. - Haiwen Zhang; Zixi Yang; Yuanzhi Liu; Xinran Wang; Zheqi He; Kongming Liang; Zhanyu Ma (PRCV (5), 2024)

A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. - Ezequiel de la Rosa; Mauricio Reyes 001; Sook-Lei Liew; Alexandre Hutton; Roland Wiest; Johannes Kaesmacher; Uta Hanning; Arsany Hakim; Richard Zubal; Waldo Valenzuela; David Robben; Diana Maria Sima; et al. (CoRR, 2024)

Detailed Object Description with Controllable Dimensions. - Xinran Wang; Haiwen Zhang; Baoteng Li; Kongming Liang; Hao Sun 015; Zhongjiang He; Zhanyu Ma; Jun Guo 002 (CoRR, 2024)

From Simple to Professional: A Combinatorial Controllable Image Captioning Agent. - Xinran Wang; Muxi Diao; Baoteng Li; Haiwen Zhang; Kongming Liang; Zhanyu Ma (CoRR, 2024)

Learning Dynamic Prototypes for Visual Pattern Debiasing. - Kongming Liang; Zijin Yin; Min Min; Yan Liu; Zhanyu Ma; Jun Guo 002 (Int. J. Comput. Vis., 2024)

Semi-Supervised Learning for FGVC With Out-of-Category Data. - Ruoyi Du; Dongliang Chang; Zhanyu Ma; Kongming Liang; Yi-Zhe Song; Jun Guo 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer. - Jiayi Gao; Zijin Yin; Changcheng Hua; Yuxin Peng; Kongming Liang; Zhanyu Ma; Jun Guo 002; Yang Liu (CVPR, 2025)

PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation. - Zhonghao Yan; Zijin Yin; Tianyu Lin; Xiangzhu Zeng; Kongming Liang; Zhanyu Ma (ISBI, 2025)

Reserve to Adapt: Mining Inter-Class Relations for Open-Set Domain Adaptation. - Yujun Tong; Dongliang Chang; Da Li 001; Xinran Wang; Kongming Liang; Zhongjiang He; Yi-Zhe Song; Zhanyu Ma (IEEE Trans. Image Process., 2025)

VDOR: A Video-based Dataset for Object Removal via Sequence Consistency. - Runpu Wei; Shuo Zhang; Zhonghao Yan; Zijin Yin; Xueyi Wang; Kongming Liang; Zhanyu Ma (CoRR, 2025)

Understanding Episode Hardness in Few-Shot Learning. - Yurong Guo; Ruoyi Du; Aneeshan Sain; Kongming Liang; Yuan Dong; Yi-Zhe Song; Zhanyu Ma (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Disentangling Before Composing: Learning Invariant Disentangled Features for Compositional Zero-Shot Learning. - Tian Zhang; Kongming Liang; Ruoyi Du; Wei Chen 071; Zhanyu Ma (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

FakeReasoning: Towards Generalizable Forgery Detection and Reasoning. - Yueying Gao; Dongliang Chang; Bingyao Yu; Haotian Qin; Lei Chen; Kongming Liang; Zhanyu Ma (CoRR, 2025)

CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation. - Xinran Wang; Songyu Xu; Xiangxuan Shan; Yuxuan Zhang; Muxi Diao; Xueyan Duan; Yanhua Huang; Kongming Liang; Zhanyu Ma (CoRR, 2025)

Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation. - Xinran Wang; Muxi Diao; Yuanzhi Liu; Chunyu Wang 001; Kongming Liang; Zhanyu Ma; Jun Guo 002 (CoRR, 2025)

DriveRX: A Vision-Language Reasoning Model for Cross-Task Autonomous Driving. - Muxi Diao; Lele Yang; Hongbo Yin; Zhexu Wang; Yejie Wang; Daxin Tian; Kongming Liang; Zhanyu Ma (CoRR, 2025)

FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models. - Yuxuan Wang; Tianwei Cao; Huayu Zhang; Zhongjiang He; Kongming Liang; Zhanyu Ma (CoRR, 2025)

RotatedMVPS: Multi-view Photometric Stereo with Rotated Natural Light. - Songyun Yang; Yufei Han; Jilong Zhang; Kongming Liang; Peng Yu; Zhaowei Qu; Heng Guo (CoRR, 2025)

MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision. - Zhonghao Yan; Muxi Diao; Yuxuan Yang; Jiayuan Xu; Kaizhou Zhang; Ruoyan Jing; Lele Yang; Yanxi Liu 006; Kongming Liang; Zhanyu Ma (CoRR, 2025)

Animal-CLIP: A Dual-Prompt Enhanced Vision-Language Model for Animal Action Recognition. - Yinuo Jing; Kongming Liang; Ruxu Zhang; Hao Sun 015; Yongxiang Li; Zhongjiang He; Zhanyu Ma (Int. J. Comput. Vis., 2025)