| 2026 | AAAI | Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation. | Qi Liu, Chenghao Xu, Jiexi Yan, Guangtao Lyu, Erkun Yang, Guihai Chen, Yanhua Yang |
| 2026 | AAAI | Meta-Guided Sample Reweighting for Robust Cross-Modal Hashing Retrieval with Noisy Labels. | Ziang Tan, Weitao An, Erkun Yang |
| 2026 | AAAI | Noisy Correspondence Learning with Modality Gap Direction Correction. | Wuyuqing Wang, Zeyuan Gu, Erkun Yang |
| 2025 | ICCV | Meta-Learning Dynamic Center Distance: Hard Sample Mining for Learning with Noisy Labels. | Chenyu Mu, Yijun Qu, Jiexi Yan, Erkun Yang, Cheng Deng |
| 2025 | IJCAI | In-context Learning Demonstration Generation with Text Distillation. | Wuyuqing Wang, Erkun Yang, Zilan Zhou, Cheng Deng |
| 2025 | SIGIR | Meta-Guided Adaptive Weight Learner for Noisy Correspondence. | Chenyu Mu, Erkun Yang, Cheng Deng |
| 2024 | CVPR | Robust Noisy Correspondence Learning with Equivariant Similarity Consistency. | Yuchen Yang, Likai Wang, Erkun Yang, Cheng Deng |
| 2023 | ICCV | Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning. | Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang |
| 2022 | CVPR | Mutual Quantization for Cross-Modal Search with Noisy Labels. | Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng |
| 2022 | ICML | Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network. | Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu |
| 2021 | ICCV | Learning with Privileged Tasks. | Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang |
| 2021 | IJCAI | Graph Debiased Contrastive Learning with Joint Representation Clustering. | Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng |
| 2021 | MICCAI | Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning. | Lei Ma, Daeseung Kim, Chunfeng Lian, Deqiang Xiao, Tianshu Kuang, Qin Liu, Yankun Lang, Hannah H. Deng, Jaime Gateno, Ye Wu, Erkun Yang, Michael A. K. Liebschner, James J. Xia, Pew-Thian Yap |
| 2021 | MICCAI | Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. | Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu |
| 2021 | MICCAI | Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. | Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu |
| 2020 | MICCAI | Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. | Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen |
| 2020 | MICCAI | Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. | Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu |
| 2020 | MICCAI | Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. | Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu |
| 2020 | MICCAI | Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. | Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu |
| 2019 | CVPR | DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. | Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao |
| 2019 | IJCAI | Zero-shot Metric Learning. | Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng |
| 2018 | IJCAI | Semantic Structure-based Unsupervised Deep Hashing. | Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao |
| 2017 | AAAI | Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. | Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao |
| 2016 | ICDCS | A Realistic and Optimized V2V Communication System for Taxicabs. | Yang Wang, Erkun Yang, Wei Zheng, Liusheng Huang, Hengchang Liu, Binxin Liang |