| 2026 | AAAI | CoGrad3D: Spatially-Coupled Timestep Optimization with Orthogonal Gradient Fusion for 3D Generation. | Haoyang Tong, Hongbo Wang, Jin Liu, Qi Wang, Jie Cao, Ran He |
| 2026 | ACL | What If Consensus Lies? Selective-Complementary Reinforcement Learning at Test Time. | Dong Yan, Jian Liang, Yanbo Wang, Shuo Lu, Ran He, Tieniu Tan |
| 2026 | ACL | Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning. | Yongcan Yu, Lingxiao He, Jian Liang, Kuangpu Guo, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He |
| 2025 | AAAI | Exploring Vacant Classes in Label-Skewed Federated Learning. | Kuangpu Guo, Yuhe Ding, Jian Liang, Zilei Wang, Ran He, Tieniu Tan |
| 2025 | AAAI | Protecting Model Adaptation from Trojans in the Unlabeled Data. | Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan |
| 2025 | ACL | Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory. | Yexiang Liu, Zekun Li, Zhi Fang, Nan Xu, Ran He, Tieniu Tan |
| 2025 | CVPR | Breaking the Low-Rank Dilemma of Linear Attention. | Qihang Fan, Huaibo Huang, Ran He |
| 2025 | CVPR | Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. | Chaoyou Fu, Yuhan Dai, Yongdong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Caifeng Shan, Ran He, Xing Sun |
| 2025 | CVPR | R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning. | Lijun Sheng, Jian Liang, Zilei Wang, Ran He |
| 2025 | CVPR | Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models? | Yanbo Wang, Jiyang Guan, Jian Liang, Ran He |
| 2025 | EMNLP | InfiMM-WebMath-40B: Advancing Multimodal Pre-Training for Enhanced Mathematical Reasoning. | Xiaotian Han, Yiren Jian, Xuefeng Hu, Haogeng Liu, Yiqi Wang, Qihang Fan, Yuang Ai, Huaibo Huang, Ran He, Zhenheng Yang, Quanzeng You |
| 2025 | ICCV | Rectifying Magnitude Neglect in Linear Attention. | Qihang Fan, Huaibo Huang, Yuang Ai, Ran He |
| 2025 | ICCV | Semantic Equitable Clustering: A Simple and Effective Strategy for Clustering Vision Tokens. | Qihang Fan, Huaibo Huang, Mingrui Chen, Ran He |
| 2025 | ICCV | Cooperative Pseudo Labeling for Unsupervised Federated Classification. | Kuangpu Guo, Lijun Sheng, Yongcan Yu, Jian Liang, Zilei Wang, Ran He |
| 2025 | ICCV | Towards Robust Defense Against Customization via Protective Perturbation Resistant to Diffusion-based Purification. | Wenkui Yang, Jie Cao, Junxian Duan, Ran He |
| 2025 | ICLR | Breaking Mental Set to Improve Reasoning through Diverse Multi-Agent Debate. | Yexiang Liu, Jie Cao, Zekun Li, Ran He, Tieniu Tan |
| 2025 | ICLR | LoRA-Pro: Are Low-Rank Adapters Properly Optimized? | Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan |
| 2024 | AAAI | Heterogeneous Test-Time Training for Multi-Modal Person Re-identification. | Zi Wang, Huaibo Huang, Aihua Zheng, Ran He |
| 2024 | ACL | DeVAn: Dense Video Annotation for Video-Language Models. | Tingkai Liu, Yunzhe Tao, Haogeng Liu, Qihang Fan, Ding Zhou, Huaibo Huang, Ran He, Hongxia Yang |
| 2024 | ACL | InfiMM: Advancing Multimodal Understanding with an Open-Sourced Visual Language Model. | Haogeng Liu, Quanzeng You, Yiqi Wang, Xiaotian Han, Bohan Zhai, Yongfei Liu, Wentao Chen, Yiren Jian, Yunzhe Tao, Jianbo Yuan, Ran He, Hongxia Yang |
| 2024 | CVPR | Multimodal Prompt Perceiver: Empower Adaptiveness, Generalizability and Fidelity for All-in-One Image Restoration. | Yuang Ai, Huaibo Huang, Xiaoqiang Zhou, Jiexiang Wang, Ran He |
| 2024 | CVPR | Uncertainty-Aware Source-Free Adaptive Image Super-Resolution with Wavelet Augmentation Transformer. | Yuang Ai, Xiaoqiang Zhou, Huaibo Huang, Lei Zhang, Ran He |
| 2024 | CVPR | RMT: Retentive Networks Meet Vision Transformers. | Qihang Fan, Huaibo Huang, Mingrui Chen, Hongmin Liu, Ran He |
| 2024 | CVPR | Backdoor Defense via Test-Time Detecting and Repairing. | Jiyang Guan, Jian Liang, Ran He |
| 2024 | ECCV | STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. | Yongcan Yu, Lijun Sheng, Ran He, Jian Liang |
| 2024 | ICA3PP | ChainSafari: A General and Efficient Blockchain Verifiable Query Scheme with Real-Time Synchronization. | Yuwei Xu, Shengjiang Dai, Junyu Zeng, Jie Cao, Ran He, Qiao Xiang |
| 2024 | ICASSP | Parallel Augmentation and Dual Enhancement for Occluded Person Re-Identification. | Zi Wang, Huaibo Huang, Aihua Zheng, Chenglong Li, Ran He |
| 2024 | ICASSP | CSCNet: Class-Specified Cascaded Network for Compositional Zero-Shot Learning. | Yanyi Zhang, Qi Jia, Xin Fan, Yu Liu, Ran He |
| 2024 | ICLR | ScaleCrafter: Tuning-free Higher-Resolution Visual Generation with Diffusion Models. | Yingqing He, Shaoshu Yang, Haoxin Chen, Xiaodong Cun, Menghan Xia, Yong Zhang, Xintao Wang, Ran He, Qifeng Chen, Ying Shan |
| 2024 | ICLR | Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks. | Yanbo Wang, Jian Liang, Ran He |
| 2024 | ICLR | A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. | Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan |
| 2024 | ICLR | Thought Propagation: an Analogical Approach to Complex Reasoning with Large Language Models. | Junchi Yu, Ran He, Zhitao Ying |
| 2024 | ICML | Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization. | Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan |
| 2024 | ICML | Connecting the Dots: Collaborative Fine-tuning for Black-Box Vision-Language Models. | Zhengbo Wang, Jian Liang, Ran He, Zilei Wang, Tieniu Tan |
| 2023 | CVPR | NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results. | Mingdeng Cao, Chong Mou, Fanghua Yu, Xintao Wang, Yinqiang Zheng, Jian Zhang, Chao Dong, Gen Li, Ying Shan, Radu Timofte, Xiaopeng Sun, Weiqi Li, Zhenyu Zhang, Xuhan Sheng, Bin Chen, Haoyu Ma, Ming Cheng, Shijie Zhao, Wanwan Cui, Tianyu Xu, Chunyang Li, Long Bao, Heng Sun, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Renlong Wu, Yi Yang, Zhilu Zhang, Shuohao Zhang, Junyi Li, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qian Wang, Hao-Hsiang Yang, Yi-Chung Chen, Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Zebin Zhang, Jiaqi Zhang, Yuhui Wang, Shuhao Cui, Junshi Huang, Li Zhu, Shuman Tian, Wei Yu, Bingchun Luo |
| 2023 | CVPR | Mind the Label Shift of Augmentation-based Graph OOD Generalization. | Junchi Yu, Jian Liang, Ran He |
| 2023 | CVPR | NTIRE 2023 Challenge on Image Super-Resolution (4): Methods and Results. | Yulun Zhang, Kai Zhang, Zheng Chen, Yawei Li, Radu Timofte, Junpei Zhang, Kexin Zhang, Rui Peng, Yanbiao Ma, Licheng Jia, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Yajun Qiu, Qiang Zhu, Pengfei Li, Qianhui Li, Shuyuan Zhu, Dafeng Zhang, Jia Li, Fan Wang, Chunmiao Li, TaeHyung Kim, Jungkeong Kil, Eon Kim, Yeonseung Yu, Beomyeol Lee, Subin Lee, Seokjae Lim, Somi Chae, Heungjun Choi, Zhi-Kai Huang, YiChung Chen, Yuan-Chun Chiang, Hao-Hsiang Yang, Wei-Ting Chen, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Ui-Jin Choi, Marcos V. Conde, Sunder Ali Khowaja, Jiseok Yoon, Ik Hyun Lee, Garas Gendy, Nabil Sabor, Jingchao Hou, Guanghui He, Zhao Zhang, Baiang Li, Huan Zheng, Suiyi Zhao, Yangcheng Gao, Yanyan Wei, Jiahuan Ren, Jiayu Wei, Yanfeng Li, Jia Sun, Zhanyi Cheng, Zhiyuan Li, Xu Yao, Xinyi Wang, Danxu Li, Xuan Cui, Jun Cao, Cheng Li, Jianbin Zheng, Anjali Sarvaiya, Kalpesh Prajapati, Ratnadeep Patra, Pragnesh Barik, Chaitanya Rathod, Kishor P. Upla, Kiran B. Raja, Raghavendra Ramachandra, Christoph Busch |
| 2023 | ICASSP | Modify: Model-Driven Face Stylization Without Style Images. | Yuhe Ding, Jian Liang, Jie Cao, Aihua Zheng, Ran He |
| 2023 | ICCV | Pluralistic Aging Diffusion Autoencoder. | Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He |
| 2023 | ICCV | TALL: Thumbnail Layout for Deepfake Video Detection. | Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He |
| 2023 | ICPADS | S-chain: A Shard-based Blockchain Scheme for Cross-chain Supervision. | Yuwei Xu, Yuxing Song, Junyu Zeng, Ran He, Jingdong Xu |
| 2022 | AAAI | Interact, Embed, and EnlargE: Boosting Modality-Specific Representations for Multi-Modal Person Re-identification. | Zi Wang, Chenglong Li, Aihua Zheng, Ran He, Jin Tang |
| 2022 | ACCV | Confidence-Calibrated Face Image Forgery Detection with Contrastive Representation Distillation. | Puning Yang, Huaibo Huang, Zhiyong Wang, Aijing Yu, Ran He |
| 2022 | CVPR | Few-shot Backdoor Defense Using Shapley Estimation. | Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao |
| 2022 | CVPR | Rethinking Image Cropping: Exploring Diverse Compositions from Global Views. | Gengyun Jia, Huaibo Huang, Chaoyou Fu, Ran He |
| 2022 | CVPR | DINE: Domain Adaptation from Single and Multiple Black-box Predictors. | Jian Liang, Dapeng Hu, Jiashi Feng, Ran He |
| 2022 | CVPR | Improving Subgraph Recognition with Variational Graph Information Bottleneck. | Junchi Yu, Jie Cao, Ran He |
| 2021 | CVPR | ReMix: Towards Image-to-Image Translation With Limited Data. | Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun |
| 2021 | CVPR | Information Bottleneck Disentanglement for Identity Swapping. | Gege Gao, Huaibo Huang, Chaoyou Fu, Zhaoyang Li, Ran He |
| 2021 | CVPR | Memory Oriented Transfer Learning for Semi-Supervised Image Deraining. | Huaibo Huang, Aijing Yu, Ran He |
| 2021 | CVPR | FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains. | Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, Ran He |
| 2021 | CVPR | Pareidolia Face Reenactment. | Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He |
| 2021 | ICCV | CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification. | Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He |
| 2021 | ICCV | Invisible Backdoor Attack with Sample-Specific Triggers. | Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu |
| 2021 | ICLR | Graph Information Bottleneck for Subgraph Recognition. | Junchi Yu, Tingyang Xu, Yu Rong, Yatao Bian, Junzhou Huang, Ran He |
| 2020 | CVPR | Cross-Spectral Face Hallucination via Disentangling Independent Factors. | Boyan Duan, Chaoyou Fu, Yi Li, Xingguang Song, Ran He |
| 2020 | CVPR | PSGAN: Pose and Expression Robust Spatial-Aware GAN for Customizable Makeup Transfer. | Wentao Jiang, Si Liu, Chen Gao, Jie Cao, Ran He, Jiashi Feng, Shuicheng Yan |
| 2020 | CVPR | GP-NAS: Gaussian Process Based Neural Architecture Search. | Zhihang Li, Teng Xi, Jiankang Deng, Gang Zhang, Shengzhao Wen, Ran He |
| 2020 | ECCV | Informative Sample Mining Network for Multi-domain Image-to-Image Translation. | Jie Cao, Huaibo Huang, Yi Li, Ran He, Zhenan Sun |
| 2020 | ECCV | TF-NAS: Rethinking Three Search Freedoms of Latency-Constrained Differentiable Neural Architecture Search. | Yibo Hu, Xiang Wu, Ran He |
| 2020 | ECCV | A Balanced and Uncertainty-Aware Approach for Partial Domain Adaptation. | Jian Liang, Yunbo Wang, Dapeng Hu, Ran He, Jiashi Feng |
| 2020 | ECCV | Hierarchical Face Aging Through Disentangled Latent Characteristics. | Peipei Li, Huaibo Huang, Yibo Hu, Xiang Wu, Ran He, Zhenan Sun |
| 2020 | ECCV | MEAD: A Large-Scale Audio-Visual Dataset for Emotional Talking-Face Generation. | Kaisiyuan Wang, Qianyi Wu, Linsen Song, Zhuoqian Yang, Wayne Wu, Chen Qian, Ran He, Yu Qiao, Chen Change Loy |
| 2020 | ICPR | Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion. | Yuhe Ding, Xin Ma, Mandi Luo, Aihua Zheng, Ran He |
| 2020 | ICPR | $P^{2}$ Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation. | Luanxuan Hou, Jie Cao, Yuan Zhao, Haifeng Shen, Jian Tang, Ran He |
| 2020 | ICPR | Free-Form Image Inpainting via Contrastive Attention Network. | Xin Ma, Xiaoqiang Zhou, Huaibo Huang, Zhenhua Chai, Xiaolin Wei, Ran He |
| 2020 | IJCAI | Arbitrary Talking Face Generation via Attentional Audio-Visual Coherence Learning. | Hao Zhu, Huaibo Huang, Yi Li, Aihua Zheng, Ran He |
| 2020 | ICPR | Attentional Wavelet Network for Traditional Chinese Painting Transfer. | Rui Wang, Huaibo Huang, Aihua Zheng, Ran He |
| 2020 | ICPR | Exemplar Guided Cross-Spectral Face Hallucination via Mutual Information Disentanglement. | Haoxue Wu, Huaibo Huang, Aijing Yu, Jie Cao, Zhen Lei, Ran He |
| 2020 | ICPR | Talking Face Generation via Learning Semantic and Temporal Synchronous Landmarks. | Aihua Zheng, Feixia Zhu, Hao Zhu, Mandi Luo, Ran He |
| 2020 | ICPR | Image Inpainting with Contrastive Relation Network. | Xiaoqiang Zhou, Junjie Li, Zilei Wang, Ran He, Tieniu Tan |
| 2020 | ICPR | Let's Play Music: Audio-Driven Performance Video Generation. | Hao Zhu, Yi Li, Feixia Zhu, Aihua Zheng, Ran He |
| 2019 | AAAI | Disentangled Variational Representation for Heterogeneous Face Recognition. | Xiang Wu, Huaibo Huang, Vishal M. Patel, Ran He, Zhenan Sun |
| 2019 | AAAI | Visual-Semantic Graph Reasoning for Pedestrian Attribute Recognition. | Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang |
| 2019 | AAAI | Geometry-Aware Face Completion and Editing. | Linsen Song, Jie Cao, Lingxiao Song, Yibo Hu, Ran He |
| 2019 | CVPR | Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. | Jian Liang, Ran He, Zhenan Sun, Tieniu Tan |
| 2019 | ICCV | M2FPA: A Multi-Yaw Multi-Pitch High-Quality Dataset and Benchmark for Facial Pose Analysis. | Peipei Li, Xiang Wu, Yibo Hu, Ran He, Zhenan Sun |
| 2019 | ICCV | Make a Face: Towards Arbitrary High Fidelity Face Manipulation. | Shengju Qian, Kwan-Yee Lin, Wayne Wu, Yangxiaokang Liu, Quan Wang, Fumin Shen, Chen Qian, Ran He |
| 2019 | IJCAI | Neurons Merging Layer: Towards Progressive Redundancy Reduction for Deep Supervised Hashing. | Chaoyou Fu, Liangchen Song, Xiang Wu, Guoli Wang, Ran He |
| 2019 | IJCAI | Pedestrian Attribute Recognition by Joint Visual-semantic Reasoning and Knowledge Distillation. | Qiaozhe Li, Xin Zhao, Ran He, Kaiqi Huang |
| 2019 | IJCAI | Pose-preserving Cross Spectral Face Hallucination. | Junchi Yu, Jie Cao, Yi Li, Xiaofei Jia, Ran He |
| 2019 | INFOCOM | Statistical Enrichment Models for Activity Inference from Imprecise Location Data. | Ran He, Jin Cao, Lisa Zhang, Denny Lee |
| 2018 | AAAI | Anti-Makeup: Learning A Bi-Level Adversarial Network for Makeup-Invariant Face Verification. | Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan |
| 2018 | AAAI | Adversarial Discriminative Heterogeneous Face Recognition. | Lingxiao Song, Man Zhang, Xiang Wu, Ran He |
| 2018 | AAAI | Information-Theoretic Domain Adaptation Under Severe Noise Conditions. | Wei Wang, Hao Wang, Zhi-Yong Ran, Ran He |
| 2018 | AAAI | Coupled Deep Learning for Heterogeneous Face Recognition. | Xiang Wu, Lingxiao Song, Ran He, Tieniu Tan |
| 2018 | ACCV | X-GACMN: An X-Shaped Generative Adversarial Cross-Modal Network with Hypersphere Embedding. | Weikuo Guo, Jian Liang, Xiangwei Kong, Lingxiao Song, Ran He |
| 2018 | CVPR | Pose-Guided Photorealistic Face Rotation. | Yibo Hu, Xiang Wu, Bing Yu, Ran He, Zhenan Sun |
| 2018 | ICPR | Global and Local Consistent Age Generative Adversarial Networks. | Peipei Li, Yibo Hu, Qi Li, Ran He, Zhenan Sun |
| 2018 | IJCAI | An Appearance-and-Structure Fusion Network for Object Viewpoint Estimation. | Yueying Kao, Weiming Li, Zairan Wang, Dongqing Zou, Ran He, Qiang Wang, Minsu Ahn, Sunghoon Hong |
| 2018 | INFOCOM | A unified clustering approach for identifying functional zones in suburban and urban areas. | Jingyuan Yang, Jin Cao, Ran He, Lisa Zhang |
| 2017 | AAAI | Self-Paced Learning: An Implicit Regularization Perspective. | Yanbo Fan, Ran He, Jian Liang, Bao-Gang Hu |
| 2017 | AAAI | Learning Invariant Deep Representation for NIR-VIS Face Recognition. | Ran He, Xiang Wu, Zhenan Sun, Tieniu Tan |
| 2017 | ICASSP | Automatic image cropping with aesthetic map and gradient energy map. | Yueying Kao, Ran He, Kaiqi Huang |
| 2017 | ICCV | Wavelet-SRNet: A Wavelet-Based CNN for Multi-scale Face Super Resolution. | Huaibo Huang, Ran He, Zhenan Sun, Tieniu Tan |
| 2017 | ICCV | Beyond Face Rotation: Global and Local Perception GAN for Photorealistic and Identity Preserving Frontal View Synthesis. | Rui Huang, Shu Zhang, Tianyu Li, Ran He |
| 2017 | INFOCOM | Statistical network behavior based threat detection. | Jin Cao, Lawrence M. Drabeck, Ran He |
| 2016 | AAAI | Discriminative Analysis Dictionary Learning. | Jun Guo, Yanqing Guo, Xiangwei Kong, Man Zhang, Ran He |
| 2016 | AAAI | Simultaneous Feature and Sample Reduction for Image-Set Classification. | Man Zhang, Ran He, Dong Cao, Zhenan Sun, Tieniu Tan |
| 2016 | ICIP | Localize heavily occluded human faces via deep segmentation. | Kaihao Zhang, Yongzhen Huang, Ran He, Hong Wu, Liang Wang |
| 2016 | IJCAI | Group-Invariant Cross-Modal Subspace Learning. | Jian Liang, Ran He, Zhenan Sun, Tieniu Tan |
| 2016 | IJCNN | Locally imposing function for Generalized Constraint Neural Networks - A study on equality constraints. | Linlin Cao, Ran He, Bao-Gang Hu |
| 2016 | IJCNN | Topology preserving dictionary learning for pattern classification. | Jun Guo, Yanqing Guo, Bo Wang, Xiangwei Kong, Ran He |
| 2016 | ISM | Discrete Cross-Modal Hashing for Efficient Multimedia Retrieval. | Dekui Ma, Jian Liang, Xiangwei Kong, Ran He, Ying Li |
| 2016 | SIGIR | Self-Paced Cross-Modal Subspace Matching. | Jian Liang, Zhihang Li, Dong Cao, Ran He, Jingdong Wang |
| 2015 | CIKM | Multi-view Clustering via Structured Low-rank Representation. | Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan |
| 2014 | ACCV | Jointly Learning Dictionaries and Subspace Structure for Video-Based Face Recognition. | Guangxiao Zhang, Ran He, Larry S. Davis |
| 2014 | ICIP | Semi-supervised subspace segmentation. | Dong Wang, Qiyue Yin, Ran He, Liang Wang, Tieniu Tan |
| 2014 | ICIP | Transform-invariant dictionary learning for face recognition. | Shu Zhang, Man Zhang, Ran He, Zhenan Sun |
| 2013 | ICCV | Learning Coupled Feature Spaces for Cross-Modal Matching. | Kaiye Wang, Ran He, Wei Wang, Liang Wang, Tieniu Tan |
| 2013 | ICCV | Robust Subspace Clustering via Half-Quadratic Minimization. | Yingya Zhang, Zhenan Sun, Ran He, Tieniu Tan |
| 2012 | ACCV | Semantic Pixel Sets Based Local Binary Patterns for Face Recognition. | Zhenhua Chai, Heydi Mendez Vazquez, Ran He, Zhenan Sun, Tieniu Tan |
| 2012 | CVPR | l2, 1 Regularized correntropy for robust feature selection. | Ran He, Tieniu Tan, Liang Wang, Wei-Shi Zheng |
| 2011 | CVPR | Recovery of corrupted low-rank matrices via half-quadratic based nonconvex minimization. | Ran He, Zhenan Sun, Tieniu Tan, Wei-Shi Zheng |
| 2011 | CVPR | Nonnegative sparse coding for discriminative semi-supervised learning. | Ran He, Wei-Shi Zheng, Bao-Gang Hu, Xiangwei Kong |
| 2011 | ICIP | Robust view transformation model for gait recognition. | Shuai Zheng, Junge Zhang, Kaiqi Huang, Ran He, Tieniu Tan |
| 2010 | AAAI | Two-Stage Sparse Representation for Robust Recognition on Large-Scale Database. | Ran He, Bao-Gang Hu, Wei-Shi Zheng, Yanqing Guo |
| 2009 | ACML | Robust Discriminant Analysis Based on Nonparametric Maximum Entropy. | Ran He, Bao-Gang Hu, Xiaotong Yuan |
| 2009 | SDM | Agglomerative Mean-Shift Clustering via Query Set Compression. | Xiaotong Yuan, Bao-Gang Hu, Ran He |
| 2008 | CVPR | Face shape recovery from a single image using CCA mapping between tensor spaces. | Zhen Lei, Qinqun Bai, Ran He, Stan Z. Li |
| 2007 | ACCV | Learning Gabor Magnitude Features for Palmprint Recognition. | Rufeng Chu, Zhen Lei, Yufei Han, Ran He, Stan Z. Li |
| 2007 | ACCV | Coarse-to-Fine Statistical Shape Model by Bayesian Inference. | Ran He, Stan Z. Li, Zhen Lei, Shengcai Liao |
| 2007 | ACCV | Color Constancy Via Convex Kernel Optimization. | Xiaotong Yuan, Stan Z. Li, Ran He |
| 2005 | APWEB | Mining Quantitative Associations in Large Database. | Chenyong Hu, Yongji Wang, Benyu Zhang, Qiang Yang, Qing Wang, Jinhui Zhou, Ran He, Yun Yan |