Kongming Liang

98 papers A* 13A 2B 3C 2Misc 4Journal 50Unranked 24

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Benchmarking Semantic Segmentation Models via Appearance and Geometry Attribute Editing. CoRR Zijin Yin, Bing Li, Kongming Liang, Hao Sun, Zhongjiang He, Zhanyu Ma, Jun Guo
2026	J	`jnl`	Entropy-Adaptive Fine-Tuning: Resolving Confident Conflicts to Mitigate Forgetting. CoRR Muxi Diao, Lele Yang, Wuxuan Gong, Yutong Zhang, Zhonghao Yan, Yufei Han, Kongming Liang, Weiran Xu, Zhanyu Ma
2026	J	`jnl`	Generative Visual Chain-of-Thought for Image Editing. CoRR Zijin Yin, Tiankai Hang, Yiji Cheng, Shiyi Zhang, Runze He, Yu Xu, Chunyu Wang, Bing Li, Zheng Chang, Kongming Liang, Qinglin Lu, Zhanyu Ma
2026	J	`jnl`	Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers. CoRR Shuo Zhang, Wenzhuo Wu, Huayu Zhang, Jiarong Cheng, Xianghao Zang, Chao Ban, Hao Sun, Zhongjiang He, Tianwei Cao, Kongming Liang, Zhanyu Ma
2026	J	`jnl`	Hepato-LLaVA: An Expert MLLM with Sparse Topo-Pack Attention for Hepatocellular Pathology Analysis on Whole Slide Images. CoRR Yuxuan Yang, Zhonghao Yan, Yi Zhang, Bo Yun, Muxi Diao, Guowei Zhao, Kongming Liang, Wenbin Li, Zhanyu Ma
2026	A*	`conf`	MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision. AAAI Zhonghao Yan, Muxi Diao, Yuxuan Yang, Ruoyan Jing, Jiayuan Xu, Kaizhou Zhang, Lele Yang, Yanxi Liu, Kongming Liang, Zhanyu Ma
2026	J	`jnl`	Toward Generalizable Forgery Detection and Reasoning. IEEE Trans. Image Process. Yueying Gao, Dongliang Chang, Bingyao Yu, Haotian Qin, Muxi Diao, Lei Chen, Kongming Liang, Zhanyu Ma
2025	J	`jnl`	Animal-CLIP: A Dual-Prompt Enhanced Vision-Language Model for Animal Action Recognition. Int. J. Comput. Vis. Yinuo Jing, Kongming Liang, Ruxu Zhang, Hao Sun, Yongxiang Li, Zhongjiang He, Zhanyu Ma
2025	J	`jnl`	AutoRed: A Free-form Adversarial Prompt Generation Framework for Automated Red Teaming. CoRR Muxi Diao, Yutao Mou, Keqing He, Hanbo Song, Lulu Zhao, Shikun Zhang, Wei Ye, Kongming Liang, Zhanyu Ma
2025	J	`jnl`	CineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation. CoRR Xinran Wang, Songyu Xu, Xiangxuan Shan, Yuxuan Zhang, Muxi Diao, Xueyan Duan, Yanhua Huang, Kongming Liang, Zhanyu Ma
2025	A*	`conf`	ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer. CVPR Jiayi Gao, Zijin Yin, Changcheng Hua, Yuxin Peng, Kongming Liang, Zhanyu Ma, Jun Guo, Yang Liu
2025	J	`jnl`	ConMo: Controllable Motion Disentanglement and Recomposition for Zero-Shot Motion Transfer. CoRR Jiayi Gao, Zijin Yin, Changcheng Hua, Yuxin Peng, Kongming Liang, Zhanyu Ma, Jun Guo, Yang Liu
2025	J	`jnl`	Detailed Object Description With Controllable Dimensions. IEEE Trans. Multim. Xinran Wang, Haiwen Zhang, Baoteng Li, Kongming Liang, Hao Sun, Zhongjiang He, Zhanyu Ma, Jun Guo
2025	J	`jnl`	Disentangling Before Composing: Learning Invariant Disentangled Features for Compositional Zero-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Tian Zhang, Kongming Liang, Ruoyi Du, Wei Chen, Zhanyu Ma
2025	J	`jnl`	DriveRX: A Vision-Language Reasoning Model for Cross-Task Autonomous Driving. CoRR Muxi Diao, Lele Yang, Hongbo Yin, Zhexu Wang, Yejie Wang, Daxin Tian, Kongming Liang, Zhanyu Ma
2025	J	`jnl`	FairHuman: Boosting Hand and Face Quality in Human Image Generation with Minimum Potential Delay Fairness in Diffusion Models. CoRR Yuxuan Wang, Tianwei Cao, Huayu Zhang, Zhongjiang He, Kongming Liang, Zhanyu Ma
2025	J	`jnl`	FakeReasoning: Towards Generalizable Forgery Detection and Reasoning. CoRR Yueying Gao, Dongliang Chang, Bingyao Yu, Haotian Qin, Lei Chen, Kongming Liang, Zhanyu Ma
2025	J	`jnl`	Harnessing Caption Detailness for Data-Efficient Text-to-Image Generation. CoRR Xinran Wang, Muxi Diao, Yuanzhi Liu, Chunyu Wang, Kongming Liang, Zhanyu Ma, Jun Guo
2025	J	`jnl`	MedReasoner: Reinforcement Learning Drives Reasoning Grounding from Clinical Thought to Pixel-Level Precision. CoRR Zhonghao Yan, Muxi Diao, Yuxuan Yang, Jiayuan Xu, Kaizhou Zhang, Ruoyan Jing, Lele Yang, Yanxi Liu, Kongming Liang, Zhanyu Ma
2025	—	`conf`	PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation. ISBI Zhonghao Yan, Zijin Yin, Tianyu Lin, Xiangzhu Zeng, Kongming Liang, Zhanyu Ma
2025	J	`jnl`	PGP-SAM: Prototype-Guided Prompt Learning for Efficient Few-Shot Medical Image Segmentation. CoRR Zhonghao Yan, Zijin Yin, Tianyu Lin, Xiangzhu Zeng, Kongming Liang, Zhanyu Ma
2025	J	`jnl`	RO-Bench: Large-scale robustness evaluation of MLLMs with text-driven counterfactual videos. CoRR Zixi Yang, Jiapeng Li, Muxi Diao, Yinuo Jing, Kongming Liang
2025	J	`jnl`	Reserve to Adapt: Mining Inter-Class Relations for Open-Set Domain Adaptation. IEEE Trans. Image Process. Yujun Tong, Dongliang Chang, Da Li, Xinran Wang, Kongming Liang, Zhongjiang He, Yi-Zhe Song, Zhanyu Ma
2025	A	`conf`	RotatedMVPS: Multi-view Photometric Stereo with Rotated Natural Light. ICME Songyun Yang, Yufei Han, Jilong Zhang, Kongming Liang, Peng Yu, Zhaowei Qu, Heng Guo
2025	J	`jnl`	RotatedMVPS: Multi-view Photometric Stereo with Rotated Natural Light. CoRR Songyun Yang, Yufei Han, Jilong Zhang, Kongming Liang, Peng Yu, Zhaowei Qu, Heng Guo
2025	—	`conf`	SelectVision: Adaptive Vision Resolution Selection for Visual Document Understanding. ICDAR (4) Zhongjiang He, Ye Yuan, An Zhao, Han Fang, Hao Sun, Kongming Liang, Zhanyu Ma
2025	J	`jnl`	Understanding Episode Hardness in Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. Yurong Guo, Ruoyi Du, Aneeshan Sain, Kongming Liang, Yuan Dong, Yi-Zhe Song, Zhanyu Ma
2025	J	`jnl`	VDOR: A Video-based Dataset for Object Removal via Sequence Consistency. CoRR Runpu Wei, Shuo Zhang, Zhonghao Yan, Zijin Yin, Xueyi Wang, Kongming Liang, Zhanyu Ma
2024	J	`jnl`	A Robust Ensemble Algorithm for Ischemic Stroke Lesion Segmentation: Generalizability and Clinical Utility Beyond the ISLES Challenge. CoRR Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana Maria Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyun-su Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sébastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam F. Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz Roman Hernandez Petzsche, Bjoern H. Menze, Jan S. Kirschke, Benedikt Wiestler
2024	A*	`conf`	Animal-Bench: Benchmarking Multimodal Video Models for Animal-centric Video Understanding. NeurIPS Yinuo Jing, Ruxu Zhang, Kongming Liang, Yongxiang Li, Zhongjiang He, Zhanyu Ma, Jun Guo
2024	A*	`conf`	Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. CVPR Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo
2024	J	`jnl`	Benchmarking Segmentation Models with Mask-Preserved Attribute Editing. CoRR Zijin Yin, Kongming Liang, Bing Li, Zhanyu Ma, Jun Guo
2024	—	`conf`	Class-Aware Contrastive Learning for Fine-Grained Skeleton-Based Action Recognition. ACCV (1) Xinyu Bian, Dongliang Chang, Yuqi Yang, Zhongjiang He, Kongming Liang, Zhanyu Ma
2024	J	`jnl`	Detailed Object Description with Controllable Dimensions. CoRR Xinran Wang, Haiwen Zhang, Baoteng Li, Kongming Liang, Hao Sun, Zhongjiang He, Zhanyu Ma, Jun Guo
2024	A*	`conf`	Dual-Prior Augmented Decoding Network for Long Tail Distribution in HOI Detection. AAAI Jiayi Gao, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo
2024	A*	`conf`	Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. ACM Multimedia Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo
2024	J	`jnl`	Efficient Face Super-Resolution via Wavelet-based Feature Enhancement Network. CoRR Wenjie Li, Heng Guo, Xuannan Liu, Kongming Liang, Jiani Hu, Zhanyu Ma, Jun Guo
2024	—	`conf`	Evaluating Attribute Comprehension in Large Vision-Language Models. PRCV (5) Haiwen Zhang, Zixi Yang, Yuanzhi Liu, Xinran Wang, Zheqi He, Kongming Liang, Zhanyu Ma
2024	J	`jnl`	Evaluating Attribute Comprehension in Large Vision-Language Models. CoRR Haiwen Zhang, Zixi Yang, Yuanzhi Liu, Xinran Wang, Zheqi He, Kongming Liang, Zhanyu Ma
2024	J	`jnl`	From Simple to Professional: A Combinatorial Controllable Image Captioning Agent. CoRR Xinran Wang, Muxi Diao, Baoteng Li, Haiwen Zhang, Kongming Liang, Zhanyu Ma
2024	—	`conf`	Hierarchical Prompting for Diffusion Classifiers. ACCV (8) Wenxin Ning, Dongliang Chang, Yujun Tong, Zhongjiang He, Kongming Liang, Zhanyu Ma
2024	A	`conf`	Learning Conditional Prompt for Compositional Zero-Shot Learning. ICME Tian Zhang, Kongming Liang, Ke Zhang, Zhanyu Ma
2024	J	`jnl`	Learning Dynamic Prototypes for Visual Pattern Debiasing. Int. J. Comput. Vis. Kongming Liang, Zijin Yin, Min Min, Yan Liu, Zhanyu Ma, Jun Guo
2024	—	`conf`	Mixture-of-Hand-Experts: Repainting the Deformed Hand Images Generated by Diffusion Models. PRCV (5) Yuxuan Wang, Tianwei Cao, Kongming Liang, Zhongjiang He, Hao Sun, Yongxiang Li, Zhanyu Ma
2024	—	`conf`	Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing. BIBM Runpu Wei, Zijin Yin, Kongming Liang, Min Min, Chengwei Pan, Gang Yu, Haonan Huang, Yan Liu, Zhanyu Ma
2024	J	`jnl`	Polyp-E: Benchmarking the Robustness of Deep Segmentation Models via Polyp Editing. CoRR Runpu Wei, Zijin Yin, Kongming Liang, Min Min, Chengwei Pan, Gang Yu, Haonan Huang, Yan Liu, Zhanyu Ma
2024	B	`conf`	SLNL: Soft Label Regularization For Semi-Supervised Facial Expression Recognition With Negative Label Learning. ICIP Youwei Zhang, Jing Jiang, Yuying Zhao, Kongming Liang
2024	J	`jnl`	Semi-Supervised Learning for FGVC With Out-of-Category Data. IEEE Trans. Pattern Anal. Mach. Intell. Ruoyi Du, Dongliang Chang, Zhanyu Ma, Kongming Liang, Yi-Zhe Song, Jun Guo
2023	—	`conf`	Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray Images. MICCAI (4) Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu
2023	J	`jnl`	Ariadne's Thread: Using Text Prompts to Improve Segmentation of Infected Areas from Chest X-ray images. CoRR Yi Zhong, Mengqiu Xu, Kongming Liang, Kaixin Chen, Ming Wu
2023	B	`conf`	Attribute Learning with Knowledge Enhanced Partial Annotations. ICIP Kongming Liang, Xinran Wang, Tao Wei, Wei Chen, Zhanyu Ma, Jun Guo
2023	—	`conf`	Bilinear Adversarial Network for Fine-Grained Domain Adaptation. IC-NIDC Wenqing Yu, Dongliang Chang, Kongming Liang, Zhanyu Ma
2023	A*	`conf`	Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models. ACM Multimedia Yinuo Jing, Chunyu Wang, Ruxu Zhang, Kongming Liang, Zhanyu Ma
2023	—	`conf`	Focus the Overlapping Problem on Few-Shot Object Detection via Multiple Predictions. PRCV (2) Mandan Guan, Wenqing Yu, Yurong Guo, Keyan Huang, Jiaxun Zhang, Kongming Liang, Zhanyu Ma
2023	J	`jnl`	Graph Convolution Based Cross-Network Multi-Scale Feature Fusion for Deep Vessel Segmentation. CoRR Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
2023	J	`jnl`	Graph Convolution Based Cross-Network Multiscale Feature Fusion for Deep Vessel Segmentation. IEEE Trans. Medical Imaging Gangming Zhao, Kongming Liang, Chengwei Pan, Fandong Zhang, Xianpeng Wu, Xinyang Hu, Yizhou Yu
2023	A*	`conf`	Hierarchical Visual Attribute Learning in the Wild. ACM Multimedia Kongming Liang, Xinran Wang, Haiwen Zhang, Zhanyu Ma, Jun Guo
2023	—	`conf`	Image Generation Based Intra-class Variance Smoothing for Fine-Grained Visual Classification. PRCV (6) Zihan Yan, Ruoyi Du, Kongming Liang, Tao Wei, Wei Chen, Zhanyu Ma
2023	Misc	`conf`	Multi-Head Uncertainty Inference for Adversarial Attack Detection. ICASSP Yuqi Yang, Songyun Yang, Jiyang Xie, Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang
2023	A*	`conf`	On-the-Fly Category Discovery. CVPR Ruoyi Du, Dongliang Chang, Kongming Liang, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma
2023	—	`conf`	Plugging Stylized Controls in Open-Stylized Image Captioning. PRCV (1) Jie Wang, Yixiao Zheng, Ruoyi Du, Yiming Zhang, Kongming Liang, Zhanyu Ma
2023	B	`conf`	Self-Enhanced Training Framework for Referring Expression Grounding. ICIP Yitao Chen, Ruoyi Du, Kongming Liang, Zhanyu Ma
2023	Misc	`conf`	Semantic Centralized Contrastive Learning for Unsupervised Hashing. ICASSP Fengming Liang, Changlin Fan, Bo Xiao, Kongming Liang
2023	Misc	`conf`	Semantic Memory Guided Image Representation for Polyp Segmentation. ICASSP Zijin Yin, Runpu Wei, Kongming Liang, Yiyang Lin, Wei Liu, Zhanyu Ma, Min Min, Jun Guo
2023	J	`jnl`	Super-Resolution Information Enhancement For Crowd Counting. CoRR Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin
2023	Misc	`conf`	Super-Resolution Information Enhancement for Crowd Counting. ICASSP Jiahao Xie, Wei Xu, Dingkang Liang, Zhanyu Ma, Kongming Liang, Weidong Liu, Rui Wang, Ling Jin
2023	—	`conf`	Vision-Language Assisted Attribute Learning. IC-NIDC Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo
2023	J	`jnl`	Vision-language Assisted Attribute Learning. CoRR Kongming Liang, Xinran Wang, Rui Wang, Donghui Gao, Ling Jin, Weidong Liu, Xiatian Zhu, Zhanyu Ma, Jun Guo
2022	C	`conf`	Complex Scenario-Oriented Fine-Grained Visual Classification Platform. MMSP Dongliang Chang, Junhan Chen, Xinran Wang, Ruoyi Du, Wenqing Yu, Yufan Liu, Yujun Tong, Kongming Liang, Yi-Zhe Song, Zhanyu Ma
2022	A*	`conf`	Domain Generalization via Frequency-domain-based Feature Disentanglement and Interaction. ACM Multimedia Jingye Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma
2022	J	`jnl`	Dual-granularity feature alignment for cross-modality person re-identification. Neurocomputing Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo
2022	—	`conf`	Duplex Contextual Relation Network For Polyp Segmentation. ISBI Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo
2022	—	`conf`	Learning Invariant Visual Representations for Compositional Zero-Shot Learning. ECCV (24) Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo
2022	J	`jnl`	Learning Invariant Visual Representations for Compositional Zero-Shot Learning. CoRR Tian Zhang, Kongming Liang, Ruoyi Du, Xian Sun, Zhanyu Ma, Jun Guo
2022	J	`jnl`	Multi-head Uncertainty Inference for Adversarial Attack Detection. CoRR Yuqi Yang, Songyun Yang, Jiyang Xie, Zhongwei Si, Kai Guo, Ke Zhang, Kongming Liang
2022	C	`conf`	Multi-modal Human-machine Conversation System for Real Physical World. MMSP Yitao Chen, Shibo Nie, Mandan Guan, Jie Wang, Ruoyi Du, Dongliang Chang, Kongming Liang, Zhanyu Ma
2022	—	`conf`	Unsupervised Domain Adaptation for Semantic Segmentation with Global and Local Consistency. CICAI (1) Xiangxuan Shan, Zijin Yin, Jiayi Gao, Kongming Liang, Zhanyu Ma, Jun Guo
2021	—	`conf`	Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. MMAsia Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma
2021	J	`jnl`	Cross-layer Navigation Convolutional Neural Network for Fine-grained Visual Classification. CoRR Chenyu Guo, Jiyang Xie, Kongming Liang, Xian Sun, Zhanyu Ma
2021	J	`jnl`	DF^2AM: Dual-level Feature Fusion and Affinity Modeling for RGB-Infrared Cross-modality Person Re-identification. CoRR Junhui Yin, Zhanyu Ma, Jiyang Xie, Shibo Nie, Kongming Liang, Jun Guo
2021	J	`jnl`	Duplex Contextual Relation Network for Polyp Segmentation. CoRR Zijin Yin, Kongming Liang, Zhanyu Ma, Jun Guo
2021	J	`jnl`	Fine-Grained Visual Classification via Simultaneously Learning of Multi-regional Multi-grained Features. CoRR Dongliang Chang, Yixiao Zheng, Zhanyu Ma, Ruoyi Du, Kongming Liang
2021	—	`conf`	Improved Brain Lesion Segmentation with Anatomical Priors from Healthy Subjects. MICCAI (1) Chenghao Liu, Xiangzhu Zeng, Kongming Liang, Yizhou Yu, Chuyang Ye
2021	J	`jnl`	Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-Contrast CT Images. CoRR Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu
2021	—	`conf`	Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non-contrast CT Images. MICCAI (7) Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yiming Li, Yizhou Wang, Yizhou Yu
2020	—	`conf`	Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. MICCAI (7) Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang
2020	J	`jnl`	Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation. CoRR Shen Wang, Kongming Liang, Yiming Li, Yizhou Yu, Yizhou Wang
2020	—	`conf`	Segmentation-Based Method Combined with Dynamic Programming for Brain Midline Delineation. ISBI Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang
2020	J	`jnl`	Segmentation-based Method combined with Dynamic Programming for Brain Midline Delineation. CoRR Shen Wang, Kongming Liang, Chengwei Pan, Chuyang Ye, Xiuli Li, Feng Liu, Yizhou Yu, Yizhou Wang
2020	—	`conf`	Semi-Supervised Brain Lesion Segmentation Using Training Images with and Without Lesions. ISBI Chenghao Liu, Fengqian Pang, Yanlin Liu, Kongming Liang, Xiuli Li, Xiangzhu Zeng, Chuyang Ye
2020	J	`jnl`	Visual concept conjunction learning with recurrent neural networks. Neurocomputing Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
2019	J	`jnl`	FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation. CoRR Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu
2019	J	`jnl`	Unifying Visual Attribute Learning with Object Recognition in a Multiplicative Framework. IEEE Trans. Pattern Anal. Mach. Intell. Kongming Liang, Hong Chang, Bingpeng Ma, Shiguang Shan, Xilin Chen
2018	A*	`conf`	Visual Relationship Detection With Deep Structural Ranking. AAAI Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
2017	A*	`conf`	Incomplete Attribute Learning with auxiliary labels. IJCAI Kongming Liang, Yuhong Guo, Hong Chang, Xilin Chen
2016	—	`conf`	Attribute Conjunction Learning with Recurrent Neural Network. ECML/PKDD (1) Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
2015	A*	`conf`	A Unified Multiplicative Framework for Attribute Learning. ICCV Kongming Liang, Hong Chang, Shiguang Shan, Xilin Chen
2014	—	`conf`	Representation Learning with Smooth Autoencoder. ACCV (2) Kongming Liang, Hong Chang, Zhen Cui, Shiguang Shan, Xilin Chen