| 2026 | AAAI | PEOCH: Online Cross-Modal Hashing with Semi-Supervised Streaming Data Driving Prototype Evolution. | Xiao Kang, Xingbo Liu, Shuo Pan, Xuening Zhang, Xiushan Nie, Yilong Yin |
| 2026 | AAAI | MTRL-CG: Multi-Task Reinforcement Learning Method with Spectral Clustering-Based Task Grouping. | Wenjia Meng, Teng Zhang, Haoliang Sun, Yilong Yin |
| 2026 | AAAI | Retriever Encoder Selection Matters for In-Context Learning-based Medical Segmentation. | Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin |
| 2025 | AAAI | Semi-Supervised Online Cross-Modal Hashing. | Xiao Kang, Xingbo Liu, Xuening Zhang, Wen Xue, Xiushan Nie, Yilong Yin |
| 2025 | AAAI | Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval. | Xingbo Liu, Xuening Zhang, Xiushan Nie, Yang Shi, Yilong Yin |
| 2025 | AAAI | Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning. | Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Haoliang Sun, Yilong Yin |
| 2025 | CVPR | SeqMvRL: A Sequential Fusion Framework for Multi-view Representation Learning. | Ren Wang, Haoliang Sun, Yuxiu Lin, Chuanhui Zuo, Yongshun Gong, Yilong Yin, Wenjia Meng |
| 2025 | ICASSP | Disparity-Guided Cross-View Transformer For Stereo Image Super-Resolution. | Bingting Li, Wenjing Shang, Yongshun Gong, Qiangchang Wang, Xinxin Zhang, Yilong Yin |
| 2025 | ICASSP | LOFI: Harnessing Attention Dynamics for Facial Expression Recognition with Noisy Labels. | Jinglin Zhang, Qiangchang Wang, Xinxin Zhang, Yilong Yin |
| 2025 | ICASSP | N3C: Towards Replay-based Novelty Continual Clustering with Class-Overlapping. | Yan Zhang, Guoqiang Wu, Bingzheng Wang, Teng Pang, Yilong Yin |
| 2025 | ICCV | A Conditional Probability Framework for Compositional Zero-Shot Learning. | Peng Wu, Qiuxia Lai, Hao Fang, Guo-Sen Xie, Yilong Yin, Xiankai Lu, Wenguan Wang |
| 2025 | ICLR | Re-Evaluating the Impact of Unseen-Class Unlabeled Data on Semi-Supervised Learning Model. | Rundong He, Yicong Dong, Lanzhe Guo, Yilong Yin, Tailin Wu |
| 2025 | IJCAI | Improving Generalization in Meta-Learning via Meta-Gradient Augmentation. | Ren Wang, Haoliang Sun, Yuxiu Lin, Xinxin Zhang, Yilong Yin |
| 2024 | AAAI | Exploring Channel-Aware Typical Features for Out-of-Distribution Detection. | Rundong He, Yue Yuan, Zhongyi Han, Fan Wang, Wan Su, Yilong Yin, Tongliang Liu, Yongshun Gong |
| 2024 | AAAI | DiffAIL: Diffusion Adversarial Imitation Learning. | Bingzheng Wang, Guoqiang Wu, Teng Pang, Yan Zhang, Yilong Yin |
| 2024 | CVPR | Discriminability-Driven Channel Selection for Out-of-Distribution Detection. | Yue Yuan, Rundong He, Yicong Dong, Zhongyi Han, Yilong Yin |
| 2024 | ICASSP | Distribution-Aware Contrastive Learning for Robust Medical Image Segmentation. | Zheyun Qin, Xiaoming Xi, Yilong Yin |
| 2024 | KDD | Profiling Urban Streets: A Semi-Supervised Prediction Model Based on Street View Imagery and Spatial Topology. | Meng Chen, Zechen Li, Weiming Huang, Yongshun Gong, Yilong Yin |
| 2023 | AAAI | Discriminability and Transferability Estimation: A Bayesian Source Importance Estimation Approach for Multi-Source-Free Domain Adaptation. | Zhongyi Han, Zhiyan Zhang, Fan Wang, Rundong He, Wan Su, Xiaoming Xi, Yilong Yin |
| 2023 | AAAI | Off-Policy Proximal Policy Optimization. | Wenjia Meng, Qian Zheng, Gang Pan, Yilong Yin |
| 2023 | AAAI | Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels. | Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin, Jianbing Shen |
| 2023 | CVPR | MetaViewer: Towards A Unified Multi-View Representation. | Ren Wang, Haoliang Sun, Yuling Ma, Xiaoming Xi, Yilong Yin |
| 2023 | CVPR | MHPL: Minimum Happy Points Learning for Active Source Free Domain Adaptation. | Fan Wang, Zhongyi Han, Zhiyan Zhang, Rundong He, Yilong Yin |
| 2023 | CVPR | Fine-Grained Classification with Noisy Labels. | Qi Wei, Lei Feng, Haoliang Sun, Ren Wang, Chenhui Guo, Yilong Yin |
| 2023 | ICDM | Video Instance Segmentation Using Graph Matching Transformer. | Zheyun Qin, Xiankai Lu, Xiushan Nie, Yilong Yin |
| 2023 | ICDM | Fine-grained Urban Flow Inference with Unobservable Data via Space-Time Attraction Learning. | Ruifeng Wang, Yuansheng Liu, Yongshun Gong, Wei Liu, Meng Chen, Yilong Yin, Yu Zheng |
| 2023 | ICML | Towards Understanding Generalization of Macro-AUC in Multi-label Learning. | Guoqiang Wu, Chongxuan Li, Yilong Yin |
| 2022 | AAAI | Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch. | Rundong He, Zhongyi Han, Yang Yang, Yilong Yin |
| 2022 | ACML | SNAIL: Semi-Separated Uncertainty Adversarial Learning for Universal Domain Adaptation. | Zhongyi Han, Wan Su, Rundong He, Yilong Yin |
| 2022 | CVPR | Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. | Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin |
| 2022 | CVPR | Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. | Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin |
| 2022 | ECCV | Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization. | Qi Wei, Haoliang Sun, Xiankai Lu, Yilong Yin |
| 2022 | ICASSP | Online Ecg Biometrics Via Hadamard Code. | Kuikui Wang, Gongping Yang, Yuwen Huang, Lu Yang, Yilong Yin |
| 2022 | ICASSP | Joint Dual-Domain Matrix Factorization for ECG Biometric Recognition. | Kuikui Wang, Gongping Yang, Yuwen Huang, Lu Yang, Yilong Yin |
| 2021 | CVPR | DUN: Dual-Path Temporal Matching Network for Natural Language-Based Vehicle Retrieval. | Ziruo Sun, Xinfang Liu, Xiaopeng Bi, Xiushan Nie, Yilong Yin |
| 2021 | ICASSP | Learning Binary Semantic Embedding for Breast Histology Image Classification and Retrieval. | Xiao Kang, Xingbo Liu, Xiushan Nie, Yilong Yin |
| 2021 | ICASSP | Joint Learning of Image Aesthetic Quality Assessment and Semantic Recognition Based on Feature Enhancement. | Xiangfei Liu, Xiushan Nie, Zhen Shen, Yilong Yin |
| 2021 | ICASSP | ECCL: Explicit Correlation-Based Convolution Boundary Locator for Moment Localization. | Xinfang Liu, Xiushan Nie, Junya Teng, Fanchang Hao, Yilong Yin |
| 2021 | ICASSP | Label-Guided Dictionary Pair Learning for ECG Biometric Recognition. | Mingzhu Ma, Gongping Yang, Kuikui Wang, Yuwen Huang, Yilong Yin |
| 2020 | AAAI | Focusing on Detail: Deep Hashing Based on Multiple Region Details (Student Abstract). | Quan Zhou, Xiushan Nie, Yang Shi, Xingbo Liu, Yilong Yin |
| 2020 | ACCV | Discrete Spatial Importance-Based Deep Weighted Hashing. | Yang Shi, Xiushan Nie, Quan Zhou, Xiaoming Xi, Yilong Yin |
| 2020 | CIKM | Deep Adaptive Feature Aggregation in Multi-task Convolutional Neural Networks. | Zhen Shen, Chaoran Cui, Jin Huang, Jian Zong, Meng Chen, Yilong Yin |
| 2020 | CIKM | Behavior-driven Student Performance Prediction with Tri-branch Convolutional Neural Network. | Jian Zong, Chaoran Cui, Yuling Ma, Li Yao, Meng Chen, Yilong Yin |
| 2020 | ICASSP | Learning Multi-Scale Attentive Features for Series Photo Selection. | Jin Huang, Chaoran Cui, Chunyun Zhang, Zhen Shen, Jun Yu, Yilong Yin |
| 2020 | ICASSP | Deep Multi-Region Hashing. | Quan Zhou, Xiushan Nie, Yang Shi, Xingbo Liu, Yilong Yin |
| 2020 | ICML | Learning to Learn Kernels with Variational Random Features. | Xiantong Zhen, Haoliang Sun, Ying-Jun Du, Jun Xu, Yilong Yin, Ling Shao, Cees Snoek |
| 2020 | IJCAI | Towards Accurate and Robust Domain Adaptation under Noisy Environments. | Zhongyi Han, Xian-Jin Gui, Chaoran Cui, Yilong Yin |
| 2020 | ICPR | Multi-Scale and Attention based ResNet for Heartbeat Classification. | Haojie Zhang, Gongping Yang, Yuwen Huang, Feng Yuan, Yilong Yin |
| 2019 | AAAI | Jointly Multiple Hash Learning. | Xingbo Liu, Xiushan Nie, Yingxin Wang, Yilong Yin |
| 2019 | CIKM | MoBoost: A Self-improvement Framework for Linear-based Hashing. | Xingbo Liu, Xiushan Nie, Xiaoming Xi, Lei Zhu, Yilong Yin |
| 2019 | ICIP | Variable-Length Quantization Strategy for Hashing. | Yang Shi, Xiushan Nie, Xin Zhou, Xiaoming Xi, Yilong Yin |
| 2019 | ICIP | Learning the Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks. | Haoliang Sun, Xiantong Zhen, Yilong Yin |
| 2019 | ICIP | Towards Unified Aesthetics and Emotion Prediction in Images. | Jun Yu, Chaoran Cui, Leilei Geng, Yuling Ma, Yilong Yin |
| 2019 | IJCAI | Supervised Short-Length Hashing. | Xingbo Liu, Xiushan Nie, Quan Zhou, Xiaoming Xi, Lei Zhu, Yilong Yin |
| 2019 | MMM | Visual Urban Perception with Deep Semantic-Aware Network. | Yongchao Xu, Qizheng Yang, Chaoran Cui, Cheng Shi, Guangle Song, Xiaohui Han, Yilong Yin |
| 2019 | WISE | Dual Path Convolutional Neural Network for Student Performance Prediction. | Yuling Ma, Jian Zong, Chaoran Cui, Chunyun Zhang, Qizheng Yang, Yilong Yin |
| 2018 | ACML | Deep Correlation Structure Preserved Label Space Embedding for Multi-label Classification. | Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin |
| 2018 | ICASSP | Modality-Specific Structure Preserving Hashing for Cross-Modal Retrieval. | Xingbo Liu, Haoliang Sun, Xiushan Nie, Chaoran Cui, Yilong Yin |
| 2018 | ICIP | Structural Compact Core Tensor Dictionary Learning for Multispec-Tral Remote Sensing Image Deblurring. | Leilei Geng, Xiushan Nie, Sijie Niu, Yilong Yin, Jun Lin |
| 2018 | ICPR | Fully convolutional network and graph-based method for co-segmentation of retinal layer on macular OCT images. | Yun Liu, Gang Ren, Gongping Yang, Xiaoming Xi, Xinjian Chen, Yilong Yin |
| 2018 | ICPR | Robust ECG Biometrics Using Two-Stage Model. | Bo Wu, Gongping Yang, Lu Yang, Yilong Yin |
| 2018 | ICTAI | Deep Cross-View Label Embedding with Correlation and Structure Preserved for Multi-Label Classification. | Kaixiang Wang, Ming Yang, Wanqi Yang, Yilong Yin |
| 2018 | MICCAI | Deep Random Walk for Drusen Segmentation from Fundus Images. | Fang Yan, Jia Cui, Yu Wang, Hong Liu, Hui Liu, Benzheng Wei, Yilong Yin, Yuanjie Zheng |
| 2018 | MMM | Image Aesthetic Distribution Prediction with Fully Convolutional Network. | Huidi Fang, Chaoran Cui, Xiang Deng, Xiushan Nie, Muwei Jian, Yilong Yin |
| 2017 | CIKM | Personalized Image Aesthetics Assessment. | Xiang Deng, Chaoran Cui, Huidi Fang, Xiushan Nie, Yilong Yin |
| 2017 | CVPR | Learning Deep Match Kernels for Image-Set Classification. | Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin, Shuo Li |
| 2017 | ICASSP | DFVR: Deformable finger vein recognition. | Qing Chen, Lu Yang, Gongping Yang, Yilong Yin, Xianjing Meng |
| 2017 | ICIP | Integration of discriminative features and similarity-preserving encoding for finger vein image retrieval. | Kuikui Wang, Lu Yang, Gongping Yang, Yilong Yin |
| 2017 | SIGIR | Distribution-oriented Aesthetics Assessment for Image Search. | Chaoran Cui, Huidi Fang, Xiang Deng, Xiushan Nie, Hongshuai Dai, Yilong Yin |
| 2016 | KSEM | Best Guided Backtracking Search Algorithm for Numerical Optimization Problems. | Wenting Zhao, Lijin Wang, Bingqing Wang, Yilong Yin |
| 2016 | MICCAI | Automated Diagnosis of Neural Foraminal Stenosis Using Synchronized Superpixels Representation. | Xiaoxu He, Yilong Yin, Manas Sharma, Gary Brahm, Ashley Mercado, Shuo Li |
| 2016 | MICCAI | Multi-task Shape Regression for Medical Image Segmentation. | Xiantong Zhen, Yilong Yin, Mousumi Bhaduri, Ilanit Ben Nachum, David T. Laidley, Shuo Li |
| 2014 | ICDM | Blood Vessel Segmentation in Pathological Retinal Image. | Zhe Han, Yilong Yin, Xianjing Meng, Gongping Yang, Xiaowei Yan |
| 2014 | KSEM | An Improved Backtracking Search Algorithm for Constrained Optimization Problems. | Wenting Zhao, Lijin Wang, Yilong Yin, Bingqing Wang, Yi Wei, Yushan Yin |
| 2013 | ICIP | Automatic measurement on CT images for patella dislocation diagnosis. | Qi Kong, Shaoshan Wang, Jiushan Yang, Ruiqi Zou, Yan Huang, Yilong Yin, Jingliang Peng |
| 2012 | AVSS | Semi-supervised Gait Recognition Based on Self-Training. | Yanan Li, Yilong Yin, Lili Liu, Shaohua Pang, Qiuhong Yu |
| 2012 | CIKM | Polygene-based evolution: a novel framework for evolutionary algorithms. | Shuaiqiang Wang, Byron J. Gao, Shuangling Wang, Guibao Cao, Yilong Yin |
| 2012 | CIKM | Importance weighted passive learning. | Shuaiqiang Wang, Xiaoming Xi, Yilong Yin |
| 2010 | ICASSP | Video-based fingerprint verification. | Wei Qin, Yilong Yin, Chunxiao Ren, Lili Liu |
| 2010 | ICIP | A hybrid fusion method of fingerprint identification for high security applications. | Yilong Yin, Yanbin Ning, Zhiguo Yang |
| 2009 | ICONIP | Personalized Fingerprint Segmentation. | Xinjian Guo, Yilong Yin, Zhichen Shi |
| 2009 | SMC | A Novel Method of Score Level Fusion Using Multiple Impressions for Fingerprint Verification. | Chunxiao Ren, Yilong Yin, Jun Ma, Gongping Yang |
| 2009 | SMC | Feature Selection for Sensor Interoperability: A Case Study in Fingerprint Segmentation. | Chunxiao Ren, Yilong Yin, Jun Ma, Gongping Yang |
| 2008 | ICNC | On Co-Training Style Algorithms. | Cailing Dong, Yilong Yin, Xinjian Guo, Gongping Yang, Guang-Tong Zhou |
| 2008 | ICNC | On the Class Imbalance Problem. | Xinjian Guo, Yilong Yin, Cailing Dong, Gongping Yang, Guang-Tong Zhou |
| 2008 | ICNC | A Linear Hybrid Classifier for Fingerprint Segmentation. | Chunxiao Ren, Yilong Yin, Jun Ma, Gongping Yang |
| 2008 | ICNC | VOTCL and a Case Study of Its Application. | Guang-Tong Zhou, Yilong Yin, Xinjian Guo, Cailing Dong, Qing-Yuan Wang |
| 2005 | ICIAP | Fingerprint Image Segmentation Method Based on MCMC&GA. | Xiaosi Zhan, Zhaocai Sun, Yilong Yin, Yun Chen |