Erkun Yang

According to our database, Erkun Yang authored at least 39 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

2023

A Parametrical Model for Instance-Dependent Label Noise.

Shuo Yang, Songhua Wu, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization.

Zhe Xu, Kun Wei, Erkun Yang, Cheng Deng, Wei Liu

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.

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

IEEE Trans. Medical Imaging, February, 2023

Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping.

Yingbin Bai, Zhongyi Han, Erkun Yang, Jun Yu, Bo Han, Dadong Wang, Tongliang Liu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Emotion-Prior Awareness Network for Emotional Video Captioning.

Peipei Song, Dan Guo, Xun Yang, Shengeng Tang, Erkun Yang, Meng Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Deep Bayesian Quantization for Supervised Neuroimage Search.

Erkun Yang, Cheng Deng, Mingxia Liu

Proceedings of the Machine Learning in Medical Imaging - 14th International Workshop, 2023

Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning.

Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

MSR: Making Self-supervised learning Robust to Aggressive Augmentations.

Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu

CoRR, 2022

MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning.

Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning.

Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

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

Proceedings of the International Conference on Machine Learning, 2022

Mutual Quantization for Cross-Modal Search with Noisy Labels.

Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks.

Zeyu Li, Cheng Deng, Erkun Yang, Dacheng Tao

IEEE Trans. Multim., 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, Dinggang Shen

IEEE Trans. Medical Imaging, 2021

Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval.

Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen

IEEE Trans. Medical Imaging, 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

Medical Image Anal., 2021

Estimating Instance-dependent Label-noise Transition Matrix using DNNs.

Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu

CoRR, 2021

Understanding and Improving Early Stopping for Learning with Noisy Labels.

Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, Tongliang Liu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network.

Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu

Proceedings of the Predictive Intelligence in Medicine - 4th International Workshop, 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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

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

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 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

Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Graph Debiased Contrastive Learning with Joint Representation Clustering.

Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Learning with Privileged Tasks.

Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

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

Adversarial Examples for Hamming Space Search.

Erkun Yang, Tongliang Liu, Cheng Deng, Dacheng Tao

IEEE Trans. Cybern., 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

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search.

Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 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

Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

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

Proceedings of the Machine Learning in Medical Imaging - 11th International Workshop, 2020

2019

Unsupervised Semantic-Preserving Adversarial Hashing for Image Search.

Cheng Deng, Erkun Yang, Tongliang Liu, Jie Li, Wei Liu, Dacheng Tao

IEEE Trans. Image Process., 2019

Zero-shot Metric Learning.

Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs.

Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Shared Predictive Cross-Modal Deep Quantization.

Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao

IEEE Trans. Neural Networks Learn. Syst., 2018

Semantic Structure-based Unsupervised Deep Hashing.

Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Exploring hybrid spatio-temporal convolutional networks for human action recognition.

Hao Wang, Yanhua Yang, Erkun Yang, Cheng Deng

Multim. Tools Appl., 2017

Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval.

Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

A Realistic and Optimized V2V Communication System for Taxicabs.

Yang Wang, Erkun Yang, Wei Zheng, Liusheng Huang, Hengchang Liu, Binxin Liang

Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016