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Erkun Yang
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2020 – today
- 2024
- [j13]Xiao Liang, Erkun Yang
, Yanhua Yang
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
Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization. IEEE Trans. Pattern Anal. Mach. Intell. 45(10): 11458-11471 (2023) - [j11]Shuo Yang
A Parametrical Model for Instance-Dependent Label Noise. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14055-14068 (2023) - [j10]Lei Ma
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
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
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
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification. Medical Image Anal. 71: 102076 (2021) - [j8]Erkun Yang
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval. IEEE Trans. Medical Imaging 40(2): 503-513 (2021) - [j7]Dongren Yao
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
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
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
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
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
Adversarial Examples for Hamming Space Search. IEEE Trans. Cybern. 50(4): 1473-1484 (2020) - [j4]Cheng Deng
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
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
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
Unsupervised Semantic-Preserving Adversarial Hashing for Image Search. IEEE Trans. Image Process. 28(8): 4032-4044 (2019) - [c5]Erkun Yang, Tongliang Liu
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
Shared Predictive Cross-Modal Deep Quantization. IEEE Trans. Neural Networks Learn. Syst. 29(11): 5292-5303 (2018) - [c3]Erkun Yang, Cheng Deng, Tongliang Liu
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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