A Realistic and Optimized V2V Communication System for Taxicabs. - Yang Wang 015; Erkun Yang; Wei Zheng 011; Liusheng Huang; Hengchang Liu; Binxin Liang (ICDCS, 2016)

Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. - Erkun Yang; Cheng Deng; Wei Liu 005; Xianglong Liu 001; Dacheng Tao; Xinbo Gao 001 (AAAI, 2017)

Exploring hybrid spatio-temporal convolutional networks for human action recognition. - Hao Wang 062; Yanhua Yang; Erkun Yang; Cheng Deng (Multim. Tools Appl., 2017)

Semantic Structure-based Unsupervised Deep Hashing. - Erkun Yang; Cheng Deng; Tongliang Liu; Wei Liu 005; Dacheng Tao (IJCAI, 2018)

Shared Predictive Cross-Modal Deep Quantization. - Erkun Yang; Cheng Deng; Chao Li 033; Wei Liu 005; Jie Li 001; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2018)

DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. - Erkun Yang; Tongliang Liu; Cheng Deng; Wei Liu 005; Dacheng Tao (CVPR, 2019)

Zero-shot Metric Learning. - Xinyi Xu; Huanhuan Cao; Yanhua Yang; Erkun Yang; Cheng Deng (IJCAI, 2019)

Unsupervised Semantic-Preserving Adversarial Hashing for Image Search. - Cheng Deng; Erkun Yang; Tongliang Liu; Jie Li 001; Wei Liu 005; Dacheng Tao (IEEE Trans. Image Process., 2019)

Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. - Hao Guan; Erkun Yang; Li Wang 026; Pew-Thian Yap; Mingxia Liu 001; Dinggang Shen (MLMI@MICCAI, 2020)

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 001 (DART/DCL@MICCAI, 2020)

Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. - Erkun Yang; Dongren Yao; Bing Cao 002; Hao Guan; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (MICCAI (1), 2020)

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 001 (MLMI@MICCAI, 2020)

Adversarial Examples for Hamming Space Search. - Erkun Yang; Tongliang Liu; Cheng Deng; Dacheng Tao (IEEE Trans. Cybern., 2020)

Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search. - Cheng Deng; Erkun Yang; Tongliang Liu; Dacheng Tao (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning with Privileged Tasks. - Yuru Song; Zan Lou; Shan You; Erkun Yang; Fei Wang 032; Chen Qian 006; Changshui Zhang; Xiaogang Wang 001 (ICCV, 2021)

Graph Debiased Contrastive Learning with Joint Representation Clustering. - Han Zhao; Xu Yang 019; Zhenru Wang; Erkun Yang; Cheng Deng (IJCAI, 2021)

Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data. - Erkun Yang; Lihong Wang; David C. Steffens; Guy G. Potter; Mingxia Liu 001 (ISBI, 2021)

Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning. - Lei Ma 006; Daeseung Kim; Chunfeng Lian; Deqiang Xiao; Tianshu Kuang; Qin Liu; Yankun Lang; Hannah H. Deng; Jaime Gateno; Ye Wu 001; Erkun Yang; Michael A. K. Liebschner; et al. (MICCAI (4), 2021)

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 001 (MICCAI (5), 2021)

Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. - Dongren Yao; Erkun Yang; Li Sun; Jing Sui; Mingxia Liu 001 (PRIME@MICCAI, 2021)

Understanding and Improving Early Stopping for Learning with Noisy Labels. - Yingbin Bai; Erkun Yang; Bo Han 003; Yanhua Yang; Jiatong Li; Yinian Mao; Gang Niu 001; Tongliang Liu (NeurIPS, 2021)

Estimating Instance-dependent Label-noise Transition Matrix using DNNs. - Shuo Yang 006; Erkun Yang; Bo Han 003; Yang Liu 018; Min Xu 001; Gang Niu 001; Tongliang Liu (CoRR, 2021)

Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. - Hao Guan; Yunbi Liu; Erkun Yang; Pew-Thian Yap; Dinggang Shen; Mingxia Liu 001 (Medical Image Anal., 2021)

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. - Erkun Yang; Mingxia Liu 001; Dongren Yao; Bing Cao 002; Chunfeng Lian; Pew-Thian Yap; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. - Dongren Yao; Jing Sui; Mingliang Wang; Erkun Yang; Yeerfan Jiaerken; Na Luo; Pew-Thian Yap; Mingxia Liu 001; Dinggang Shen (IEEE Trans. Medical Imaging, 2021)

Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks. - Zeyu Li; Cheng Deng; Erkun Yang; Dacheng Tao (IEEE Trans. Multim., 2021)

Mutual Quantization for Cross-Modal Search with Noisy Labels. - Erkun Yang; Dongren Yao; Tongliang Liu; Cheng Deng (CVPR, 2022)

Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network. - Shuo Yang 006; Erkun Yang; Bo Han 003; Yang Liu 018; Min Xu 001; Gang Niu 001; Tongliang Liu (ICML, 2022)

RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning. - Yingbin Bai; Erkun Yang; Zhaoqing Wang; Yuxuan Du; Bo Han 003; Cheng Deng; Dadong Wang; Tongliang Liu (NeurIPS, 2022)

MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. - Jiexi Yan; Erkun Yang; Cheng Deng; Heng Huang (NeurIPS, 2022)

MSR: Making Self-supervised learning Robust to Aggressive Augmentations. - Yingbin Bai; Erkun Yang; Zhaoqing Wang; Yuxuan Du; Bo Han 003; Cheng Deng; Dadong Wang; Tongliang Liu (CoRR, 2022)

Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning. - Jiexi Yan; Zhihui Yin; Erkun Yang; Yanhua Yang; Heng Huang (ICCV, 2023)

Deep Bayesian Quantization for Supervised Neuroimage Search. - Erkun Yang; Cheng Deng; Mingxia Liu 001 (MLMI@MICCAI (2), 2023)

Emotion-Prior Awareness Network for Emotional Video Captioning. - Peipei Song; Dan Guo 001; Xun Yang 001; Shengeng Tang; Erkun Yang; Meng Wang 001 (ACM Multimedia, 2023)

Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping. - Yingbin Bai; Zhongyi Han; Erkun Yang; Jun Yu 001; Bo Han 003; Dadong Wang; Tongliang Liu (NeurIPS, 2023)

Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning. - Lei Ma 006; Deqiang Xiao; Daeseung Kim; Chunfeng Lian; Tianshu Kuang; Qin Liu; Hannah H. Deng; Erkun Yang; Michael A. K. Liebschner; Jaime Gateno; James J. Xia; Pew-Thian Yap (IEEE Trans. Medical Imaging, 2023)

Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization. - Zhe Xu 009; Kun Wei; Erkun Yang; Cheng Deng; Wei Liu 005 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Parametrical Model for Instance-Dependent Label Noise. - Shuo Yang 006; Songhua Wu; Erkun Yang; Bo Han 003; Yang Liu 018; Min Xu 001; Gang Niu 001; Tongliang Liu (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Robust Noisy Correspondence Learning with Equivariant Similarity Consistency. - Yuchen Yang; Likai Wang 009; Erkun Yang; Cheng Deng (CVPR, 2024)

Demonstration of 3 V Programmable Josephson Junction Arrays Using Non-Integer-Multiple Logic. - Wenhui Cao; Erkun Yang; Jinjin Li; Huan Qiao; Yuan Zhong; Qing Zhong; Da Xu; Xueshen Wang; Xiaolong Xu; Shijian Wang; Jian Chen (CoRR, 2024)

Multi-Relational Deep Hashing for Cross-Modal Search. - Xiao Liang; Erkun Yang; Yanhua Yang; Cheng Deng (IEEE Trans. Image Process., 2024)

CrossFormer: Cross-Modal Representation Learning via Heterogeneous Graph Transformer. - Xiao Liang; Erkun Yang; Cheng Deng; Yanhua Yang (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Meta-Guided Adaptive Weight Learner for Noisy Correspondence. - Chenyu Mu; Erkun Yang; Cheng Deng (SIGIR, 2025)