A Deep Joint Learning Approach for Age Invariant Face Verification. - Ya Li; Guangrun Wang; Liang Lin; Huiyou Chang (CCCV (1), 2015)

Deep feature learning with relative distance comparison for person re-identification. - Shengyong Ding; Liang Lin; Guangrun Wang; Hongyang Chao (Pattern Recognit., 2015)

DARI: Distance Metric and Representation Integration for Person Verification. - Guangrun Wang; Liang Lin; Shengyong Ding; Ya Li; Qing Wang 018 (AAAI, 2016)

Deep Structured Scene Parsing by Learning with Image Descriptions. - Liang Lin; Guangrun Wang; Rui Zhang; Ruimao Zhang; Xiaodan Liang; Wangmeng Zuo (CVPR, 2016)

Learning Object Interactions and Descriptions for Semantic Image Segmentation. - Guangrun Wang; Ping Luo 002; Liang Lin; Xiaogang Wang 001 (CVPR, 2017)

Deep Dual Learning for Semantic Image Segmentation. - Ping Luo 002; Guangrun Wang; Liang Lin; Xiaogang Wang 001 (ICCV, 2017)

Scene Parsing by Weakly Supervised Learning with Image Descriptions. - Ruimao Zhang; Liang Lin; Guangrun Wang; Meng Wang 001; Wangmeng Zuo (CoRR, 2017)

Cross-Domain Visual Matching via Generalized Similarity Measure and Feature Learning. - Liang Lin; Guangrun Wang; Wangmeng Zuo; Xiangchu Feng; Lei Zhang 006 (IEEE Trans. Pattern Anal. Mach. Intell., 2017)

Kalman Normalization: Normalizing Internal Representations Across Network Layers. - Guangrun Wang; Jiefeng Peng; Ping Luo 002; Xinjiang Wang; Liang Lin (NeurIPS, 2018)

Batch Kalman Normalization: Towards Training Deep Neural Networks with Micro-Batches. - Guangrun Wang; Jiefeng Peng; Ping Luo 002; Xinjiang Wang; Liang Lin (CoRR, 2018)

Distance metric optimization driven convolutional neural network for age invariant face recognition. - Ya Li; Guangrun Wang; Lin Nie; Qing Wang 018; Wenwei Tan (Pattern Recognit., 2018)

CamDrop: A New Explanation of Dropout and A Guided Regularization Method for Deep Neural Networks. - Hongjun Wang 005; Guangrun Wang; Guanbin Li; Liang Lin (CIKM, 2019)

Adaptively Connected Neural Networks. - Guangrun Wang; Keze Wang; Liang Lin (CVPR, 2019)

Weakly Supervised Person Re-identification: Cost-effective Learning with A New Benchmark. - Guangrun Wang; Guangcong Wang; Xujie Zhang; Jianhuang Lai; Liang Lin (CoRR, 2019)

Learnable Parameter Similarity. - Guangcong Wang; Jianhuang Lai; Wenqi Liang; Guangrun Wang (CoRR, 2019)

Blockwisely Supervised Neural Architecture Search with Knowledge Distillation. - Changlin Li; Jiefeng Peng; Liuchun Yuan; Guangrun Wang; Xiaodan Liang; Liang Lin; Xiaojun Chang (CoRR, 2019)

Hierarchical Scene Parsing by Weakly Supervised Learning with Image Descriptions. - Ruimao Zhang; Liang Lin; Guangrun Wang; Meng Wang 001; Wangmeng Zuo (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking. - Hongjun Wang 005; Guangrun Wang; Ya Li; Dongyu Zhang 002; Liang Lin (CVPR, 2020)

Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation. - Changlin Li; Jiefeng Peng; Liuchun Yuan; Guangrun Wang; Xiaodan Liang; Liang Lin; Xiaojun Chang (CVPR, 2020)

Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification. - Guangcong Wang; Jian-Huang Lai; Wenqi Liang; Guangrun Wang (CVPR, 2020)

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. - Bailin Li; Bowen Wu; Jiang Su; Guangrun Wang (ECCV (2), 2020)

Grammatically Recognizing Images with Tree Convolution. - Guangrun Wang; Guangcong Wang; Keze Wang; Xiaodan Liang; Liang Lin (KDD, 2020)

EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning. - Bailin Li; Bowen Wu; Jiang Su; Guangrun Wang; Liang Lin (CoRR, 2020)

Dynamic Slimmable Network. - Changlin Li; Guangrun Wang; Bing Wang 013; Xiaodan Liang; Zhihui Li 001; Xiaojun Chang (CVPR, 2021)

EfficientBERT: Progressively Searching Multilayer Perceptron via Warm-up Knowledge Distillation. - Chenhe Dong; Guangrun Wang; Hang Xu 004; Jiefeng Peng; Xiaozhe Ren; Xiaodan Liang (EMNLP (Findings), 2021)

BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. - Changlin Li; Tao Tang; Guangrun Wang; Jiefeng Peng; Bing Wang 013; Xiaodan Liang; Xiaojun Chang (ICCV, 2021)

Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. - Jiefeng Peng; Jiqi Zhang; Changlin Li; Guangrun Wang; Xiaodan Liang; Liang Lin (ICCV, 2021)

Solving Inefficiency of Self-supervised Representation Learning. - Guangrun Wang; Keze Wang; Guangcong Wang; Philip H. S. Torr; Liang Lin (ICCV, 2021)

Unifying Dynamic Optimizer Search and Network Architecture Search. - Binbin Yang; Xiaodan Liang; Junhao Zhong; Jiefeng Peng; Guangrun Wang; Liang Lin (ICME, 2021)

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Transformers. - Changlin Li; Guangrun Wang; Bing Wang 013; Xiaodan Liang; Zhihui Li 001; Xiaojun Chang (CoRR, 2021)

Weakly Supervised Person Re-ID: Differentiable Graphical Learning and a New Benchmark. - Guangrun Wang; Guangcong Wang; Xujie Zhang; Jianhuang Lai; Zhengtao Yu 001; Liang Lin (IEEE Trans. Neural Networks Learn. Syst., 2021)

Automated Progressive Learning for Efficient Training of Vision Transformers. - Changlin Li; Bohan Zhuang; Guangrun Wang; Xiaodan Liang; Xiaojun Chang; Yi Yang 001 (CVPR, 2022)

Beyond Fixation: Dynamic Window Visual Transformer. - Pengzhen Ren; Changlin Li; Guangrun Wang; Yun Xiao; Qing Du; Xiaodan Liang; Xiaojun Chang (CVPR, 2022)

Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. - Guangrun Wang; Yansong Tang; Liang Lin; Philip H. S. Torr (CVPR, 2022)

Structure-Preserving 3D Garment Modeling with Neural Sewing Machines. - Xipeng Chen; Guangrun Wang; Dizhong Zhu; Xiaodan Liang; Philip H. S. Torr; Liang Lin (NeurIPS, 2022)

Understanding Weight Similarity of Neural Networks via Chain Normalization Rule and Hypothesis-Training-Testing. - Guangcong Wang; Guangrun Wang; Wenqi Liang; Jianhuang Lai (CoRR, 2022)

Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers. - Tao Tang; Changlin Li; Guangrun Wang; Kaicheng Yu; Xiaojun Chang; Xiaodan Liang (CoRR, 2022)

Traditional Classification Neural Networks are Good Generators: They are Competitive with DDPMs and GANs. - Guangrun Wang; Philip H. S. Torr (CoRR, 2022)

Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. - Guangrun Wang; Liang Lin; Rongcong Chen; Guangcong Wang; Jiqi Zhang (IEEE Trans. Neural Networks Learn. Syst., 2022)

MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. - Kaixin Cai; Pengzhen Ren; Yi Zhu 004; Hang Xu 004; Jianzhuang Liu; Changlin Li; Guangrun Wang; Xiaodan Liang (ICCV, 2023)

Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. - Guangyi Chen 002; Xiao Liu; Guangrun Wang; Kun Zhang 001; Philip H. S. Torr; Xiao-Ping Zhang 002; Yansong Tang (ICCV, 2023)

LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. - Binbin Yang; Yi Luo; Ziliang Chen 001; Guangrun Wang; Xiaodan Liang; Liang Lin (ICCV, 2023)

ViewCo: Discovering Text-Supervised Segmentation Masks via Multi-View Semantic Consistency. - Pengzhen Ren; Changlin Li; Hang Xu 004; Yi Zhu 004; Guangrun Wang; Jianzhuang Liu; Xiaojun Chang; Xiaodan Liang (ICLR, 2023)

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. - Tang Tao; Longfei Gao; Guangrun Wang; Peng Chen; Dayang Hao; Xiaodan Liang; Mathieu Salzmann; Kaicheng Yu (CoRR, 2023)

Language-free Compositional Action Generation via Decoupling Refinement. - Xiao Liu; Guangyi Chen 002; Yansong Tang; Guangrun Wang; Ser-Nam Lim (CoRR, 2023)

DS-Net++: Dynamic Weight Slicing for Efficient Inference in CNNs and Vision Transformers. - Changlin Li; Guangrun Wang; Bing Wang 013; Xiaodan Liang; Zhihui Li 001; Xiaojun Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion. - Changxin Huang; Guangrun Wang; Zhibo Zhou; Ronghui Zhang; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning. - Linsheng Chen; Guangrun Wang; Liuchun Yuan; Keze Wang; Ken Deng; Philip H. S. Torr (AAAI, 2024)

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. - Tang Tao; Guangrun Wang; Yixing Lao; Peng Chen; Jie Liu; Liang Lin; Kaicheng Yu; Xiaodan Liang (CVPR, 2024)

WildVidFit: Video Virtual Try-On in the Wild via Image-Based Controlled Diffusion Models. - Zijian He; Peixin Chen; Guangrun Wang; Guanbin Li; Philip H. S. Torr; Liang Lin (ECCV (17), 2024)

Making Large Language Models Better Planners with Reasoning-Decision Alignment. - Zhijian Huang; Tao Tang; Shaoxiang Chen 001; Sihao Lin; Zequn Jie; Lin Ma 002; Guangrun Wang; Xiaodan Liang (ECCV (36), 2024)

GaussCtrl: Multi-view Consistent Text-Driven 3D Gaussian Splatting Editing. - Jing Wu; Jia-Wang Bian; Xinghui Li; Guangrun Wang; Ian D. Reid 001; Philip Torr 001; Victor Adrian Prisacariu (ECCV (14), 2024)

Language-Free Compositional Action Generation via Decoupling Refinement. - Xiao Liu; Guangyi Chen 002; Yansong Tang; Guangrun Wang; Xiao-Ping Zhang 002; Ser-Nam Lim (ICASSP, 2024)

LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields. - Tang Tao; Longfei Gao; Guangrun Wang; Yixing Lao; Peng Chen; Hengshuang Zhao; Dayang Hao; Xiaodan Liang; Mathieu Salzmann; Kaicheng Yu (ACM Multimedia, 2024)

Geometry aware 3D generation from in-the-wild images in ImageNet. - Qijia Shen; Guangrun Wang (CoRR, 2024)

AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis. - Tao Tang; Guangrun Wang; Yixing Lao; Peng Chen; Jie Liu; Liang Lin; Kaicheng Yu; Xiaodan Liang (CoRR, 2024)

AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment. - Yuanfeng Xu; Yuhao Chen; Zhongzhan Huang; Zijian He; Guangrun Wang; Philip Torr 001; Liang Lin (CoRR, 2024)

DNA Family: Boosting Weight-Sharing NAS With Block-Wise Supervisions. - Guangrun Wang; Changlin Li; Liuchun Yuan; Jiefeng Peng; Xiaoyu Xian; Xiaodan Liang; Xiaojun Chang; Liang Lin (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

VTON 360: High-Fidelity Virtual Try-On from Any Viewing Direction. - Zijian He; Yuwei Ning; Yipeng Qin; Guangrun Wang; Sibei Yang; Liang Lin; Guanbin Li (CVPR, 2025)

Anima2: Cross-Species Animal Animation through Image-to-Video Synthesis with Subject Alignment. - Yuanfeng Xu; Yuhao Chen; Zhongzhan Huang; Zijian He; Guangrun Wang; Liang Lin (ICASSP, 2025)

Implicit Neural Representations for Chemical Reaction Paths. - Kalyan Ramakrishnan; Lars L. Schaaf; Chen Lin 003; Guangrun Wang; Philip Torr 001 (CoRR, 2025)

BossNAS Family: Block-Wisely Self-Supervised Neural Architecture Search. - Changlin Li; Sihao Lin; Tang Tao; Guangrun Wang; Mingjie Li 006; Xiaodan Liang; Xiaojun Chang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

SIRI-Bench: Challenging VLMs' Spatial Intelligence through Complex Reasoning Tasks. - Zijian Song; Xiaoxin Lin; Qiuming Huang; Guangrun Wang; Liang Lin (CoRR, 2025)

One Model For All: Partial Diffusion for Unified Try-On and Try-Off in Any Pose. - Jinxi Liu; Zijian He; Guangrun Wang; Guanbin Li; Liang Lin (CoRR, 2025)

Physical Autoregressive Model for Robotic Manipulation without Action Pretraining. - Zijian Song; Sihan Qin; Tianshui Chen; Liang Lin; Guangrun Wang (CoRR, 2025)

HumanGenesis: Agent-Based Geometric and Generative Modeling for Synthetic Human Dynamics. - Weiqi Li; Zehao Zhang; Liang Lin; Guangrun Wang (CoRR, 2025)

ReaLM: Reflection-Enhanced Autonomous Reasoning with Small Language Models. - Yuanfeng Xu; Zehui Dai; Jian Liang; Jiapeng Guan; Guangrun Wang; Liang Lin; Xiaohui Lv (CoRR, 2025)

Parametric Linear Blend Skinning Model for Multiple-Shape 3D Garments. - Xipeng Chen; Guangrun Wang; Xiaogang Xu 002; Philip Torr 001; Liang Lin (IEEE Trans. Vis. Comput. Graph., 2025)