Erkun Yang

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 43

Top Topics

Surgical Planning

Facial Appearance

Top Venues

IEEE Trans. Medical Imaging

Publications

Wenhui Cao, Erkun Yang, Jinjin Li, Huan Qiao, Yuan Zhong, Qing Zhong, Da Xu, Xueshen Wang, Xiaolong Xu, Shijian Wang, Jian Chen
Demonstration of 3 V Programmable Josephson Junction Arrays Using Non-Integer-Multiple Logic. CoRR (2024)
Xiao Liang, Erkun Yang, Yanhua Yang, Cheng Deng
Multi-Relational Deep Hashing for Cross-Modal Search. IEEE Trans. Image Process. 33 (2024)
Lei Ma, 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
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning. IEEE Trans. Medical Imaging 42 (2) (2023)
Shuo Yang, Songhua Wu, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu
A Parametrical Model for Instance-Dependent Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45 (12) (2023)
Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang
Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning. ICCV (2023)
Yingbin Bai, Zhongyi Han, Erkun Yang, Jun Yu, Bo Han, Dadong Wang, Tongliang Liu
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping. NeurIPS (2023)
Peipei Song, Dan Guo, Xun Yang, Shengeng Tang, Erkun Yang, Meng Wang
Emotion-Prior Awareness Network for Emotional Video Captioning. ACM Multimedia (2023)
Erkun Yang, Cheng Deng, Mingxia Liu
Deep Bayesian Quantization for Supervised Neuroimage Search. MLMI@MICCAI (2) (2023)
Zhe Xu, Kun Wei, Erkun Yang, Cheng Deng, Wei Liu
Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45 (10) (2023)
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
MSR: Making Self-supervised learning Robust to Aggressive Augmentations. CoRR (2022)
Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng
Mutual Quantization for Cross-Modal Search with Noisy Labels. CVPR (2022)
Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. NeurIPS (2022)
Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network. ICML (2022)
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning. NeurIPS (2022)
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
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning. MICCAI (4) (2021)
Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu
Estimating Instance-dependent Label-noise Transition Matrix using DNNs. CoRR (2021)
Erkun Yang, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu
Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data. ISBI (2021)
Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang
Learning with Privileged Tasks. ICCV (2021)
Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng
Graph Debiased Contrastive Learning with Joint Representation Clustering. IJCAI (2021)
Zeyu Li, Cheng Deng, Erkun Yang, Dacheng Tao
Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks. IEEE Trans. Multim. 23 (2021)
Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, Tongliang Liu
Understanding and Improving Early Stopping for Learning with Noisy Labels. NeurIPS (2021)
Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI. MICCAI (5) (2021)
Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging 40 (2) (2021)
Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network. PRIME@MICCAI (2021)
Hao Guan, Yunbi Liu, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. Medical Image Anal. 71 (2021)
Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, Tongliang Liu
Understanding and Improving Early Stopping for Learning with Noisy Labels. CoRR (2021)
Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity. IEEE Trans. Medical Imaging 40 (4) (2021)
Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI. MLMI@MICCAI (2020)
Erkun Yang, Tongliang Liu, Cheng Deng, Dacheng Tao
Adversarial Examples for Hamming Space Search. IEEE Trans. Cybern. 50 (4) (2020)
Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search. MICCAI (1) (2020)
Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data. DART/DCL@MICCAI (2020)
Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network. MLMI@MICCAI (2020)
Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search. IEEE Trans. Neural Networks Learn. Syst. 31 (6) (2020)
Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. CVPR (2019)
Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng
Zero-shot Metric Learning. IJCAI (2019)
Cheng Deng, Erkun Yang, Tongliang Liu, Jie Li, Wei Liu, Dacheng Tao
Unsupervised Semantic-Preserving Adversarial Hashing for Image Search. IEEE Trans. Image Process. 28 (8) (2019)
Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao
Shared Predictive Cross-Modal Deep Quantization. CoRR (2019)
Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. CoRR (2019)
Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao
Shared Predictive Cross-Modal Deep Quantization. IEEE Trans. Neural Networks Learn. Syst. 29 (11) (2018)
Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao
Semantic Structure-based Unsupervised Deep Hashing. IJCAI (2018)
Hao Wang, Yanhua Yang, Erkun Yang, Cheng Deng
Exploring hybrid spatio-temporal convolutional networks for human action recognition. Multim. Tools Appl. 76 (13) (2017)
Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. AAAI (2017)
Yang Wang, Erkun Yang, Wei Zheng, Liusheng Huang, Hengchang Liu, Binxin Liang
A Realistic and Optimized V2V Communication System for Taxicabs. ICDCS (2016)