Guangrun Wang - RankMe

109 papers A* 27A 2Misc 2Journal 71Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Bridging the Discrete-Continuous Gap: Unified Multimodal Generation via Coupled Manifold Discrete Absorbing Diffusion. CoRR Yuanfeng Xu, Yuhao Chen, Liang Lin, Guangrun Wang
2026	A*	`conf`	Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search. AAAI Zijian Song, Xiaoxin Lin, Tao Pu, Zhenlong Yuan, Guangrun Wang, Liang Lin
2026	J	`jnl`	Learning Physics from Pretrained Video Models: A Multimodal Continuous and Sequential World Interaction Models for Robotic Manipulation. CoRR Zijian Song, Qichang Li, Sihan Qin, Yuhao Chen, Tianshui Chen, Liang Lin, Guangrun Wang
2026	J	`jnl`	RADAR: Benchmarking Vision-Language-Action Generalization via Real-World Dynamics, Spatial-Physical Intelligence, and Autonomous Evaluation. CoRR Yuhao Chen, Zhihao Zhan, Xiaoxin Lin, Zijian Song, Hao Liu, Qinhan Lyu, Yubo Zu, Xiao Chen, Zhiyuan Liu, Tao Pu, Tianshui Chen, Keze Wang, Liang Lin, Guangrun Wang
2026	J	`jnl`	Robust Source-Free Domain Adaptation From Non-Robust Source Models. IEEE Trans. Image Process. Yao Xiao, Pengxu Wei, Guangrun Wang, Cong Liu, Liang Lin
2026	J	`jnl`	SceneExpander: Expanding 3D Scenes with Free-Form Inserted Views. CoRR Zijian He, Renjie Liu, Yihao Wang, Weizhi Zhong, Huan Yuan, Kun Gai, Guangrun Wang, Guanbin Li
2026	J	`jnl`	Stable Language Guidance for Vision-Language-Action Models. CoRR Zhihao Zhan, Yuhao Chen, Jiaying Zhou, Qinhan Lv, Hao Liu, Keze Wang, Liang Lin, Guangrun Wang
2026	J	`jnl`	TAG: Target-Agnostic Guidance for Stable Object-Centric Inference in Vision-Language-Action Models. CoRR Jiaying Zhou, Zhihao Zhan, Ruifeng Zhai, Qinhan Lyu, Hao Liu, Keze Wang, Liang Lin, Guangrun Wang
2025	J	`jnl`	ACD: Direct Conditional Control for Video Diffusion Models via Attention Supervision. CoRR Weiqi Li, Zehao Zhang, Liang Lin, Guangrun Wang
2025	Misc	`conf`	Anima ICASSP Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Liang Lin
2025	J	`jnl`	Authentic Discrete Diffusion Model. CoRR Xiao Li, Jiaqi Zhang, Shuxiang Zhang, Tianshui Chen, Liang Lin, Guangrun Wang
2025	J	`jnl`	BossNAS Family: Block-Wisely Self-Supervised Neural Architecture Search. IEEE Trans. Pattern Anal. Mach. Intell. Changlin Li, Sihao Lin, Tang Tao, Guangrun Wang, Mingjie Li, Xiaodan Liang, Xiaojun Chang
2025	J	`jnl`	Efficient and Robust Video Virtual Try-On via Enhanced Multi-Garment Alignment. IEEE Trans. Multim. Zijian He, Peixin Chen, Guolin Zheng, Guangrun Wang, Xiaonan Luo, Liang Lin, Guanbin Li
2025	J	`jnl`	GS: Generative Segmentation via Label Diffusion. CoRR Yuhao Chen, Shubin Chen, Liang Lin, Guangrun Wang
2025	J	`jnl`	Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search. CoRR Zijian Song, Xiaoxin Lin, Tao Pu, Zhenlong Yuan, Guangrun Wang, Liang Lin
2025	J	`jnl`	HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics. CoRR Weiqi Li, Zehao Zhang, Liang Lin, Guangrun Wang
2025	J	`jnl`	Implicit Neural Representations for Chemical Reaction Paths. CoRR Kalyan Ramakrishnan, Lars L. Schaaf, Chen Lin, Guangrun Wang, Philip Torr
2025	—	`conf`	Mamba-Inspired Dual-Brain Interaction Network: Towards Hyperscanning EEG Classification. BIBM Guangrun Wang, Lanlan Chen, Hui Chu
2025	J	`jnl`	One Model For All: Partial Diffusion for Unified Try-On and Try-Off in Any Pose. CoRR Jinxi Liu, Zijian He, Guangrun Wang, Guanbin Li, Liang Lin
2025	J	`jnl`	Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments. IEEE Trans. Vis. Comput. Graph. Xipeng Chen, Guangrun Wang, Xiaogang Xu, Philip Torr, Liang Lin
2025	J	`jnl`	Physical Autoregressive Model for Robotic Manipulation without Action Pretraining. CoRR Zijian Song, Sihan Qin, Tianshui Chen, Liang Lin, Guangrun Wang
2025	J	`jnl`	ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models. CoRR Yuanfeng Xu, Zehui Dai, Jian Liang, Jiapeng Guan, Guangrun Wang, Liang Lin, Xiaohui Lv
2025	J	`jnl`	SIRI-Bench: Challenging VLMs' Spatial Intelligence through Complex Reasoning Tasks. CoRR Zijian Song, Xiaoxin Lin, Qiuming Huang, Guangrun Wang, Liang Lin
2025	J	`jnl`	UML-CoT: Structured Reasoning and Planning with Unified Modeling Language for Robotic Room Cleaning. CoRR Hongyu Chen, Guangrun Wang
2025	J	`jnl`	VLA Models Are More Generalizable Than You Think: Revisiting Physical and Spatial Modeling. CoRR Weiqi Li, Quande Zhang, Ruifeng Zhai, Liang Lin, Guangrun Wang
2025	A*	`conf`	VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction. CVPR Zijian He, Yuwei Ning, Yipeng Qin, Guangrun Wang, Sibei Yang, Liang Lin, Guanbin Li
2025	J	`jnl`	ℰ CoRR Zhihao Zhan, Jiaying Zhou, Likui Zhang, Qinhan Lv, Hao Liu, Jusheng Zhang, Weizheng Li, Ziliang Chen, Tianshui Chen, Keze Wang, Liang Lin, Guangrun Wang
2024	A*	`conf`	AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CVPR Tang Tao, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
2024	J	`jnl`	AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. CoRR Tao Tang, Guangrun Wang, Yixing Lao, Peng Chen, Jie Liu, Liang Lin, Kaicheng Yu, Xiaodan Liang
2024	J	`jnl`	AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment. CoRR Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Philip Torr, Liang Lin
2024	J	`jnl`	DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. IEEE Trans. Pattern Anal. Mach. Intell. Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin
2024	J	`jnl`	DNA Family: Boosting Weight-Sharing NAS with Block-Wise Supervisions. CoRR Guangrun Wang, Changlin Li, Liuchun Yuan, Jiefeng Peng, Xiaoyu Xian, Xiaodan Liang, Xiaojun Chang, Liang Lin
2024	J	`jnl`	GaussCtrl: Multi-View Consistent Text-Driven 3D Gaussian Splatting Editing. CoRR Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip Torr, Victor Adrian Prisacariu
2024	—	`conf`	GaussCtrl: Multi-view Consistent Text-Driven 3D Gaussian Splatting Editing. ECCV (14) Jing Wu, Jia-Wang Bian, Xinghui Li, Guangrun Wang, Ian D. Reid, Philip Torr, Victor Adrian Prisacariu
2024	J	`jnl`	Geometry aware 3D generation from in-the-wild images in ImageNet. CoRR Qijia Shen, Guangrun Wang
2024	Misc	`conf`	Language-Free Compositional Action Generation via Decoupling Refinement. ICASSP Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Xiao-Ping Zhang, Ser-Nam Lim
2024	A*	`conf`	LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. ACM Multimedia Tang Tao, Longfei Gao, Guangrun Wang, Yixing Lao, Peng Chen, Hengshuang Zhao, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
2024	—	`conf`	Making Large Language Models Better Planners with Reasoning-Decision Alignment. ECCV (36) Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang
2024	J	`jnl`	Making Large Language Models Better Planners with Reasoning-Decision Alignment. CoRR Zhijian Huang, Tao Tang, Shaoxiang Chen, Sihao Lin, Zequn Jie, Lin Ma, Guangrun Wang, Xiaodan Liang
2024	A*	`conf`	NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. AAAI Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr
2024	J	`jnl`	NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. CoRR Linsheng Chen, Guangrun Wang, Liuchun Yuan, Keze Wang, Ken Deng, Philip H. S. Torr
2024	—	`conf`	WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. ECCV (17) Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin
2024	J	`jnl`	WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. CoRR Zijian He, Peixin Chen, Guangrun Wang, Guanbin Li, Philip H. S. Torr, Liang Lin
2023	J	`jnl`	DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. IEEE Trans. Pattern Anal. Mach. Intell. Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
2023	A*	`conf`	LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. ICCV Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin
2023	J	`jnl`	LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. CoRR Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin
2023	J	`jnl`	Language-free Compositional Action Generation via Decoupling Refinement. CoRR Xiao Liu, Guangyi Chen, Yansong Tang, Guangrun Wang, Ser-Nam Lim
2023	J	`jnl`	LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. CoRR Tang Tao, Longfei Gao, Guangrun Wang, Peng Chen, Dayang Hao, Xiaodan Liang, Mathieu Salzmann, Kaicheng Yu
2023	A*	`conf`	MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. ICCV Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang
2023	J	`jnl`	MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. CoRR Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang
2023	J	`jnl`	Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. IEEE Trans. Pattern Anal. Mach. Intell. Changxin Huang, Guangrun Wang, Zhibo Zhou, Ronghui Zhang, Liang Lin
2023	A*	`conf`	Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. ICCV Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang
2023	J	`jnl`	Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. CoRR Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang
2023	A*	`conf`	ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. ICLR Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang
2023	J	`jnl`	ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. CoRR Pengzhen Ren, Changlin Li, Hang Xu, Yi Zhu, Guangrun Wang, Jianzhuang Liu, Xiaojun Chang, Xiaodan Liang
2022	A*	`conf`	Automated Progressive Learning for Efficient Training of Vision Transformers. CVPR Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang
2022	J	`jnl`	Automated Progressive Learning for Efficient Training of Vision Transformers. CoRR Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang
2022	A*	`conf`	Beyond Fixation: Dynamic Window Visual Transformer. CVPR Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang
2022	J	`jnl`	Beyond Fixation: Dynamic Window Visual Transformer. CoRR Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang
2022	J	`jnl`	Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. IEEE Trans. Neural Networks Learn. Syst. Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang
2022	J	`jnl`	Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers. CoRR Tao Tang, Changlin Li, Guangrun Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang
2022	A*	`conf`	Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. CVPR Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr
2022	A*	`conf`	Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. NeurIPS Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin
2022	J	`jnl`	Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. CoRR Xipeng Chen, Guangrun Wang, Dizhong Zhu, Xiaodan Liang, Philip H. S. Torr, Liang Lin
2022	J	`jnl`	Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs. CoRR Guangrun Wang, Philip H. S. Torr
2022	J	`jnl`	Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing. CoRR Guangcong Wang, Guangrun Wang, Wenqi Liang, Jianhuang Lai
2021	A*	`conf`	BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. ICCV Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang
2021	J	`jnl`	BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. CoRR Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang
2021	J	`jnl`	DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. CoRR Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
2021	A*	`conf`	Dynamic Slimmable Network. CVPR Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
2021	J	`jnl`	Dynamic Slimmable Network. CoRR Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang
2021	—	`conf`	EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. EMNLP (Findings) Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang
2021	J	`jnl`	EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. CoRR Chenhe Dong, Guangrun Wang, Hang Xu, Jiefeng Peng, Xiaozhe Ren, Xiaodan Liang
2021	J	`jnl`	Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. CoRR Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang
2021	A*	`conf`	Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. ICCV Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin
2021	J	`jnl`	Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. CoRR Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin
2021	A*	`conf`	Solving Inefficiency of Self-supervised Representation Learning. ICCV Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin
2021	J	`jnl`	Solving Inefficiency of Self-supervised Representation Learning. CoRR Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin
2021	A	`conf`	Unifying Dynamic Optimizer Search and Network Architecture Search. ICME Binbin Yang, Xiaodan Liang, Junhao Zhong, Jiefeng Peng, Guangrun Wang, Liang Lin
2021	J	`jnl`	Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark. IEEE Trans. Neural Networks Learn. Syst. Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Zhengtao Yu, Liang Lin
2020	A*	`conf`	Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. CVPR Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang
2020	—	`conf`	EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. ECCV (2) Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang
2020	J	`jnl`	EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. CoRR Bailin Li, Bowen Wu, Jiang Su, Guangrun Wang, Liang Lin
2020	A*	`conf`	Grammatically Recognizing Images with Tree Convolution. KDD Guangrun Wang, Guangcong Wang, Keze Wang, Xiaodan Liang, Liang Lin
2020	A*	`conf`	Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification. CVPR Guangcong Wang, Jian-Huang Lai, Wenqi Liang, Guangrun Wang
2020	A*	`conf`	Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. CVPR Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin
2020	J	`jnl`	Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. CoRR Hongjun Wang, Guangrun Wang, Ya Li, Dongyu Zhang, Liang Lin
2019	A*	`conf`	Adaptively Connected Neural Networks. CVPR Guangrun Wang, Keze Wang, Liang Lin
2019	J	`jnl`	Adaptively Connected Neural Networks. CoRR Guangrun Wang, Keze Wang, Liang Lin
2019	J	`jnl`	Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. CoRR Changlin Li, Jiefeng Peng, Liuchun Yuan, Guangrun Wang, Xiaodan Liang, Liang Lin, Xiaojun Chang
2019	A	`conf`	CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. CIKM Hongjun Wang, Guangrun Wang, Guanbin Li, Liang Lin
2019	J	`jnl`	Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions. IEEE Trans. Pattern Anal. Mach. Intell. Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo
2019	J	`jnl`	Learnable Parameter Similarity. CoRR Guangcong Wang, Jianhuang Lai, Wenqi Liang, Guangrun Wang
2019	J	`jnl`	Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark. CoRR Guangrun Wang, Guangcong Wang, Xujie Zhang, Jianhuang Lai, Liang Lin
2018	J	`jnl`	Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. CoRR Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin
2018	J	`jnl`	Distance metric optimization driven convolutional neural network for age invariant face recognition. Pattern Recognit. Ya Li, Guangrun Wang, Lin Nie, Qing Wang, Wenwei Tan
2018	A*	`conf`	Kalman Normalization: Normalizing Internal Representations Across Network Layers. NeurIPS Guangrun Wang, Jiefeng Peng, Ping Luo, Xinjiang Wang, Liang Lin
2017	J	`jnl`	Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. IEEE Trans. Pattern Anal. Mach. Intell. Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang
2017	A*	`conf`	Deep Dual Learning for Semantic Image Segmentation. ICCV Ping Luo, Guangrun Wang, Liang Lin, Xiaogang Wang
2017	A*	`conf`	Learning Object Interactions and Descriptions for Semantic Image Segmentation. CVPR Guangrun Wang, Ping Luo, Liang Lin, Xiaogang Wang
2017	J	`jnl`	Scene Parsing by Weakly Supervised Learning with Image Descriptions. CoRR Ruimao Zhang, Liang Lin, Guangrun Wang, Meng Wang, Wangmeng Zuo
2016	J	`jnl`	Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. CoRR Liang Lin, Guangrun Wang, Wangmeng Zuo, Xiangchu Feng, Lei Zhang
2016	A*	`conf`	DARI: Distance Metric and Representation Integration for Person Verification. AAAI Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang
2016	J	`jnl`	DARI: Distance metric And Representation Integration for Person Verification. CoRR Guangrun Wang, Liang Lin, Shengyong Ding, Ya Li, Qing Wang
2016	A*	`conf`	Deep Structured Scene Parsing by Learning with Image Descriptions. CVPR Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo
2016	J	`jnl`	Deep Structured Scene Parsing by Learning with Image Descriptions. CoRR Liang Lin, Guangrun Wang, Rui Zhang, Ruimao Zhang, Xiaodan Liang, Wangmeng Zuo
2015	—	`conf`	A Deep Joint Learning Approach for Age Invariant Face Verification. CCCV (1) Ya Li, Guangrun Wang, Liang Lin, Huiyou Chang
2015	J	`jnl`	Deep Feature Learning with Relative Distance Comparison for Person Re-identification. CoRR Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao
2015	J	`jnl`	Deep feature learning with relative distance comparison for person re-identification. Pattern Recognit. Shengyong Ding, Liang Lin, Guangrun Wang, Hongyang Chao