Erkun Yang

52 papers A* 20A 1Journal 22Unranked 9
YearRankTypeTitle / Venue / Authors
2026 A* conf
Channel-masked Asymmetric Distribution Matching for Cross-Domain Generalized Dataset Distillation.
AAAI
Qi Liu, Chenghao Xu, Jiexi Yan, Guangtao Lyu, Erkun Yang, Guihai Chen, Yanhua Yang
2026 A* conf
Meta-Guided Sample Reweighting for Robust Cross-Modal Hashing Retrieval with Noisy Labels.
AAAI
Ziang Tan, Weitao An, Erkun Yang
2026 A* conf
Noisy Correspondence Learning with Modality Gap Direction Correction.
AAAI
Wuyuqing Wang, Zeyuan Gu, Erkun Yang
2026 J jnl
The Script is All You Need: An Agentic Framework for Long-Horizon Dialogue-to-Cinematic Video Generation.
CoRR
Chenyu Mu, Xin He, Qu Yang, Wanshun Chen, Jiadi Yao, Huang Liu, Zihao Yi, Bo Zhao, Xingyu Chen, Ruotian Ma, Fanghua Ye, Erkun Yang, Cheng Deng, Zhaopeng Tu, Xiaolong Li, Linus
2025 A* conf
In-context Learning Demonstration Generation with Text Distillation.
IJCAI
Wuyuqing Wang, Erkun Yang, Zilan Zhou, Cheng Deng
2025 A* conf
Meta-Guided Adaptive Weight Learner for Noisy Correspondence.
SIGIR
Chenyu Mu, Erkun Yang, Cheng Deng
2025 J jnl
MetaDCSeg: Robust Medical Image Segmentation via Meta Dynamic Center Weighting.
CoRR
Chenyu Mu, Guihai Chen, Xun Yang, Erkun Yang, Cheng Deng
2024 J jnl
CrossFormer: Cross-Modal Representation Learning via Heterogeneous Graph Transformer.
ACM Trans. Multim. Comput. Commun. Appl.
Xiao Liang, Erkun Yang, Cheng Deng, Yanhua Yang
2024 J jnl
Demonstration of 3 V Programmable Josephson Junction Arrays Using Non-Integer-Multiple Logic.
CoRR
Wenhui Cao, Erkun Yang, Jinjin Li, Huan Qiao, Yuan Zhong, Qing Zhong, Da Xu, Xueshen Wang, Xiaolong Xu, Shijian Wang, Jian Chen
2024 J jnl
Multi-Relational Deep Hashing for Cross-Modal Search.
IEEE Trans. Image Process.
Xiao Liang, Erkun Yang, Yanhua Yang, Cheng Deng
2024 A* conf
Robust Noisy Correspondence Learning with Equivariant Similarity Consistency.
CVPR
Yuchen Yang, Likai Wang, Erkun Yang, Cheng Deng
2023 J jnl
A Parametrical Model for Instance-Dependent Label Noise.
IEEE Trans. Pattern Anal. Mach. Intell.
Shuo Yang, Songhua Wu, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu
2023 J jnl
Bilateral Relation Distillation for Weakly Supervised Temporal Action Localization.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhe Xu, Kun Wei, Erkun Yang, Cheng Deng, Wei Liu
2023 — conf
Deep Bayesian Quantization for Supervised Neuroimage Search.
MLMI@MICCAI (2)
Erkun Yang, Cheng Deng, Mingxia Liu
2023 A* conf
Emotion-Prior Awareness Network for Emotional Video Captioning.
ACM Multimedia
Peipei Song, Dan Guo, Xun Yang, Shengeng Tang, Erkun Yang, Meng Wang
2023 A* conf
Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning.
ICCV
Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang
2023 J jnl
Simulation of Postoperative Facial Appearances via Geometric Deep Learning for Efficient Orthognathic Surgical Planning.
IEEE Trans. Medical Imaging
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
2023 A* conf
Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping.
NeurIPS
Yingbin Bai, Zhongyi Han, Erkun Yang, Jun Yu, Bo Han, Dadong Wang, Tongliang Liu
2022 A* conf
Estimating Instance-dependent Bayes-label Transition Matrix using a Deep Neural Network.
ICML
Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu
2022 J jnl
MSR: Making Self-supervised learning Robust to Aggressive Augmentations.
CoRR
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
2022 A* conf
MetricFormer: A Unified Perspective of Correlation Exploring in Similarity Learning.
NeurIPS
Jiexi Yan, Erkun Yang, Cheng Deng, Heng Huang
2022 A* conf
Mutual Quantization for Cross-Modal Search with Noisy Labels.
CVPR
Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng
2022 A* conf
RSA: Reducing Semantic Shift from Aggressive Augmentations for Self-supervised Learning.
NeurIPS
Yingbin Bai, Erkun Yang, Zhaoqing Wang, Yuxuan Du, Bo Han, Cheng Deng, Dadong Wang, Tongliang Liu
2021 J jnl
A Mutual Multi-Scale Triplet Graph Convolutional Network for Classification of Brain Disorders Using Functional or Structural Connectivity.
IEEE Trans. Medical Imaging
Dongren Yao, Jing Sui, Mingliang Wang, Erkun Yang, Yeerfan Jiaerken, Na Luo, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
2021 J jnl
Deep Bayesian Hashing With Center Prior for Multi-Modal Neuroimage Retrieval.
IEEE Trans. Medical Imaging
Erkun Yang, Mingxia Liu, Dongren Yao, Bing Cao, Chunfeng Lian, Pew-Thian Yap, Dinggang Shen
2021 — conf
Deep Factor Regression For Computer-Aided Analysis of Major Depressive Disorders With Structural MRI Data.
ISBI
Erkun Yang, Lihong Wang, David C. Steffens, Guy G. Potter, Mingxia Liu
2021 — conf
Deep Simulation of Facial Appearance Changes Following Craniomaxillofacial Bony Movements in Orthognathic Surgical Planning.
MICCAI (4)
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
2021 J jnl
Estimating Instance-dependent Label-noise Transition Matrix using DNNs.
CoRR
Shuo Yang, Erkun Yang, Bo Han, Yang Liu, Min Xu, Gang Niu, Tongliang Liu
2021 A* conf
Graph Debiased Contrastive Learning with Joint Representation Clustering.
IJCAI
Han Zhao, Xu Yang, Zhenru Wang, Erkun Yang, Cheng Deng
2021 — conf
Integrating Multimodal MRIs for Adult ADHD Identification with Heterogeneous Graph Attention Convolutional Network.
PRIME@MICCAI
Dongren Yao, Erkun Yang, Li Sun, Jing Sui, Mingxia Liu
2021 A* conf
Learning with Privileged Tasks.
ICCV
Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang
2021 J jnl
Multi-site MRI harmonization via attention-guided deep domain adaptation for brain disorder identification.
Medical Image Anal.
Hao Guan, Yunbi Liu, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2021 J jnl
Staged Sketch-to-Image Synthesis via Semi-supervised Generative Adversarial Networks.
IEEE Trans. Multim.
Zeyu Li, Cheng Deng, Erkun Yang, Dacheng Tao
2021 — conf
Tensor-Based Multi-index Representation Learning for Major Depression Disorder Detection with Resting-State fMRI.
MICCAI (5)
Dongren Yao, Erkun Yang, Hao Guan, Jing Sui, Zhizhong Zhang, Mingxia Liu
2021 A* conf
Understanding and Improving Early Stopping for Learning with Noisy Labels.
NeurIPS
Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, Tongliang Liu
2021 J jnl
Understanding and Improving Early Stopping for Learning with Noisy Labels.
CoRR
Yingbin Bai, Erkun Yang, Bo Han, Yanhua Yang, Jiatong Li, Yinian Mao, Gang Niu, Tongliang Liu
2020 J jnl
Adversarial Examples for Hamming Space Search.
IEEE Trans. Cybern.
Erkun Yang, Tongliang Liu, Cheng Deng, Dacheng Tao
2020 — conf
Attention-Guided Deep Domain Adaptation for Brain Dementia Identification with Multi-site Neuroimaging Data.
DART/DCL@MICCAI
Hao Guan, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020 — conf
Deep Disentangled Hashing with Momentum Triplets for Neuroimage Search.
MICCAI (1)
Erkun Yang, Dongren Yao, Bing Cao, Hao Guan, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020 — conf
Linking Adolescent Brain MRI to Obesity via Deep Multi-cue Regression Network.
MLMI@MICCAI
Hao Guan, Erkun Yang, Li Wang, Pew-Thian Yap, Mingxia Liu, Dinggang Shen
2020 — conf
Temporal-Adaptive Graph Convolutional Network for Automated Identification of Major Depressive Disorder Using Resting-State fMRI.
MLMI@MICCAI
Dongren Yao, Jing Sui, Erkun Yang, Pew-Thian Yap, Dinggang Shen, Mingxia Liu
2020 J jnl
Two-Stream Deep Hashing With Class-Specific Centers for Supervised Image Search.
IEEE Trans. Neural Networks Learn. Syst.
Cheng Deng, Erkun Yang, Tongliang Liu, Dacheng Tao
2019 A* conf
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs.
CVPR
Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
2019 J jnl
DistillHash: Unsupervised Deep Hashing by Distilling Data Pairs.
CoRR
Erkun Yang, Tongliang Liu, Cheng Deng, Wei Liu, Dacheng Tao
2019 J jnl
Shared Predictive Cross-Modal Deep Quantization.
CoRR
Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao
2019 J jnl
Unsupervised Semantic-Preserving Adversarial Hashing for Image Search.
IEEE Trans. Image Process.
Cheng Deng, Erkun Yang, Tongliang Liu, Jie Li, Wei Liu, Dacheng Tao
2019 A* conf
Zero-shot Metric Learning.
IJCAI
Xinyi Xu, Huanhuan Cao, Yanhua Yang, Erkun Yang, Cheng Deng
2018 A* conf
Semantic Structure-based Unsupervised Deep Hashing.
IJCAI
Erkun Yang, Cheng Deng, Tongliang Liu, Wei Liu, Dacheng Tao
2018 J jnl
Shared Predictive Cross-Modal Deep Quantization.
IEEE Trans. Neural Networks Learn. Syst.
Erkun Yang, Cheng Deng, Chao Li, Wei Liu, Jie Li, Dacheng Tao
2017 J jnl
Exploring hybrid spatio-temporal convolutional networks for human action recognition.
Multim. Tools Appl.
Hao Wang, Yanhua Yang, Erkun Yang, Cheng Deng
2017 A* conf
Pairwise Relationship Guided Deep Hashing for Cross-Modal Retrieval.
AAAI
Erkun Yang, Cheng Deng, Wei Liu, Xianglong Liu, Dacheng Tao, Xinbo Gao
2016 A conf
A Realistic and Optimized V2V Communication System for Taxicabs.
ICDCS
Yang Wang, Erkun Yang, Wei Zheng, Liusheng Huang, Hengchang Liu, Binxin Liang