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Erkun Yang
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2020 – today
- 2024
- [j13]Xiao Liang, Erkun Yang, Yanhua Yang, Cheng Deng:
Multi-Relational Deep Hashing for Cross-Modal Search. IEEE Trans. Image Process. 33: 3009-3020 (2024) - [c25]Yuchen Yang, Likai Wang, Erkun Yang, Cheng Deng:
Robust Noisy Correspondence Learning with Equivariant Similarity Consistency. CVPR 2024: 17700-17709 - [i6]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 abs/2402.16072 (2024) - 2023
- [j12]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): 11458-11471 (2023) - [j11]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): 14055-14068 (2023) - [j10]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): 336-345 (2023) - [c24]Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang:
Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning. ICCV 2023: 19308-19317 - [c23]Erkun Yang, Cheng Deng, Mingxia Liu:
Deep Bayesian Quantization for Supervised Neuroimage Search. MLMI@MICCAI (2) 2023: 396-406 - [c22]Peipei Song, Dan Guo, Xun Yang, Shengeng Tang, Erkun Yang, Meng Wang:
Emotion-Prior Awareness Network for Emotional Video Captioning. ACM Multimedia 2023: 589-600 - [c21]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 - 2022
- [c20]Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng:
Mutual Quantization for Cross-Modal Search with Noisy Labels. CVPR 2022: 7541-7550 - [c19]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: 25302-25312 - [c18]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 - [c17]Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang:
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning. NeurIPS 2022 - [i5]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 abs/2206.01999 (2022) - 2021
- [j9]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: 102076 (2021) - [j8]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): 503-513 (2021) - [j7]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): 1279-1289 (2021) - [j6]Zeyu Li, Cheng Deng, Erkun Yang, Dacheng Tao:
Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks. IEEE Trans. Multim. 23: 2694-2705 (2021) - [c16]Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang:
Learning with Privileged Tasks. ICCV 2021: 10665-10674 - [c15]Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng:
Graph Debiased Contrastive Learning with Joint Representation Clustering. IJCAI 2021: 3434-3440 - [c14]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: 208-211 - [c13]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: 157-167 - [c12]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: 174-184 - [c11]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: 459-468 - [c10]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: 24392-24403 - [i4]Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu:
Estimating Instance-dependent Label-noise Transition Matrix using DNNs. CoRR abs/2105.13001 (2021) - [i3]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 abs/2106.15853 (2021) - 2020
- [j5]Erkun Yang, Tongliang Liu, Cheng Deng, Dacheng Tao:
Adversarial Examples for Hamming Space Search. IEEE Trans. Cybern. 50(4): 1473-1484 (2020) - [j4]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): 2189-2201 (2020) - [c9]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: 1-10 - [c8]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: 31-40 - [c7]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: 111-119 - [c6]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: 191-201
2010 – 2019
- 2019
- [j3]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): 4032-4044 (2019) - [c5]Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao:
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. CVPR 2019: 2946-2955 - [c4]Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng:
Zero-shot Metric Learning. IJCAI 2019: 3996-4002 - [i2]Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao:
Shared Predictive Cross-Modal Deep Quantization. CoRR abs/1904.07488 (2019) - [i1]Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao:
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs. CoRR abs/1905.03465 (2019) - 2018
- [j2]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): 5292-5303 (2018) - [c3]Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao:
Semantic Structure-based Unsupervised Deep Hashing. IJCAI 2018: 1064-1070 - 2017
- [j1]Hao Wang, Yanhua Yang, Erkun Yang, Cheng Deng:
Exploring hybrid spatio-temporal convolutional networks for human action recognition. Multim. Tools Appl. 76(13): 15065-15081 (2017) - [c2]Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao:
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval. AAAI 2017: 1618-1625 - 2016
- [c1]Yang Wang, Erkun Yang, Wei Zheng, Liusheng Huang, Hengchang Liu, Binxin Liang:
A Realistic and Optimized V2V Communication System for Taxicabs. ICDCS 2016: 139-148
Coauthor Index
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last updated on 2024-10-10 21:17 CEST by the dblp team
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