Reasoning & Learning Group

年份:{ 2024 | 2023 | 2022 | 2021 | 2020 | 2019 | 2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 }

2024年

Shaokang Dong, Chao Li, Guang Yang, Zhenxing Ge, Hongye Cao, Wubing Chen, Shangdong Yang, Xingguo Chen, Wenbin Li, and Yang Gao. “ Survey on Solutions and Applications for Mixed-motive Games. ” Ruan Jian Xue Bao / Journal of Software, 2024.
Shaokang Dong, Chao Li, Shangdong Yang, and Yang Gao. “ Decentralized Counterfactual Value with Threat Detection for Multi-Agent Reinforcement Learning in Mixed Cooperative and Competitive Environments. ” Expert Systems with Applications (EWSA), 2024.
Shaokang Dong, Chao Li, Shangdong Yang, Bo An, Wenbin Li, and Yang Gao. “ Egoism, Utilitarianism and Egalitarianism in Multi-Agent Reinforcement Learning. ” Neural Networks (NN), 2024.
Shaokang Dong, Hangyu Mao, Shangdong Yang, Shengyu Zhu, Wenbin Li, Jianye Hao, and Yang Gao. “ WToE: Learning When to Explore in Multi-Agent Reinforcement Learning. ” IEEE Transactions on Cybernetics (TCYB), 2024.
Shaokang Dong, Chao Li, Wubing Chen, Hongye Cao, Wenbin Li, and Yang Gao. “ Multi-Agent Exploration via Self-Learning and Social Learning. ” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024.
Chao Li, Yujing Hu, Shangdong Yang, Tangjie Lv, Changjie Fan, Wenbin Li, Chongjie Zhang, Yang Gao. “ STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations. ” Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence (IJCAI), 2024.
Jing Huo, Meihao Kong, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao. “ Towards Efficient Image and Video Style Transfer via Distillation and Learnable Feature Transformation. ” Computer Vision and Image Understanding (CVIU), 2024.
Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “ Exploring Flat Minima for Domain Generalization with Large Learning Rates. ” IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
Jiapeng Su, Qi Fan, Wenjie Pei, Guangming Lu, Fanglin Chen. “ Domain-Rectifying Adapter for Cross-domain Few-Shot Segmentation. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Qinghe Ma, Jian Zhang, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ Constructing and Exploring Intermediate Domains in Mixed Domain Semi-supervised Medical Image Segmentation. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Wenxiao Deng, Wenbin Li, Tianyu Ding, Lei Wang, Hongguang Zhang, Kuihua Huang, Jing Huo, and Yang Gao. “ Exploiting Inter-sample and Inter-feature Relations in Dataset Distillation. ” IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024.
Qi Fan, Wei Zhuo, Chi-Keung Tang, Yu-Wing Tai. “ FSODv2: A Deep Calibrated Few-Shot Object Detection Network. ” International Journal of Computer Vision (IJCV) , 2024.
Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng. “ NormAUG: Normalization-guided Augmentation for Domain Generalization. ” IEEE Transactions on Image Processing (TIP), 2024.
Lei Qi, Hongpeng Yang, Yinghuan Shi, Xin Geng. “ MultiMatch: Multi-task Learning for Semi-supervised Domain Generalization. ” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2024.
Zekun Li, Lei Qi, Yawen Li, Yinghuan Shi, Yang Gao. “ Open-Domain Semi-Supervised Learning via Glocal Cluster Structure Exploitation. ” IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024.
Na Wang, Lei Qi, Jintao Guo, Yinghuan Shi, Yang Gao. “ Learning Generalizable Models via Disentangling Spurious and Enhancing Potential Correlations. ” IEEE Transactions on Image Processing (TIP), 2024.
Yanqi Bao, Tianyu Ding, Jing Huo, Wenbin Li, Yuxin Li, and Yang Gao. “ InsertNeRF: Instilling Generalizability into NeRF with HyperNet Modules. ” International Conference on Learning Representations (ICLR), 2024.
Fengxiang Wang, Wanrong Huang, Shaowu Yang, Qi Fan, Long Lan. “ Learning to Learn Better Visual Prompts. ” AAAI Conference on Artificial Intelligence (AAAI), 2024.
Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi. “ Roll With the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-grained Learning. ” AAAI Conference on Artificial Intelligence (AAAI), 2024.
Taicai Chen, Yue Duan, Dong Li, Lei Qi, Yinghuan Shi, Yang Gao. “ PG-LBO: Enhancing High-dimensional Bayesian Optimization with Pseudo-label and Gaussian Process Guidance. ” AAAI Conference on Artificial Intelligence (AAAI), 2024.
Chao Li , Yupeng Zhang, Jianqi Wang, Yujing Hu, Shaokang Dong, Wenbin Li, Tangjie Lv, Changjie Fan, Yang Gao. “ Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning. ” AAAI Conference on Artificial Intelligence (AAAI), 2024.

2023年

Jintao Guo, Lei Qi, Yinghuan Shi, Yang Gao. “ PLACE dropout: A Progressive Layer-wise and Channel-wise Dropout for Domain Generalization. ” ACM Transactions on Multimedia Computing Communications and Applications (TOMM), 2023.
Qi Fan, Mattia Segu, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai. “ Towards Robust Object Detection Invariant to Real-World Domain Shifts. ” International Conference on Learning Representations (ICLR) , 2023.
Peng Zheng, Huazhu Fu, Deng-Ping Fan, Qi Fan, Jie Qin, Yu-Wing Tai, Chi-Keung Tang, Luc Van Gool. “ GCoNet+: A Stronger Group Collaborative Co-Salient Object Detector ” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
Wenbin Li, Ziyi Wang, Xuesong Yang, Chuanqi Dong, Pinzhuo Tian, Tiexin Qin, Jing Huo, Yinghuan Shi, Lei Wang, Yang Gao and Jiebo Luo. “ LibFewShot: A Comprehensive Library for Few-shot Learning. ” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo. “ Defensive Few-shot Learning. ” IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
Lihe Yang, Xiaogang Xu, Bingyi Kang, Yinghuan Shi, Hengshuang Zhao. “ FreeMask: Synthetic Images with Dense Annotations Make Stronger Segmentation Models. ” Thirty-Seventh Annual Conference on Neural Information Processing Systems (NeurIPS), 2023.
Zixuan Chen, Wenbin Li, Yang Gao, and Yiyu Chen. “ TiLD: Third-person Imitation Learning by Estimating Domain Cognitive Differences of Visual Demonstrations. ” In Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (AAMAS). 2023.
Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “ DomainAdaptor: A Novel Approach to Test-time Adaptation. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao. “ IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Jintao Guo, Lei Qi, Yinghuan Shi. “ DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao. “ Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi. “ Class Transition Tracking Based Pseudo-Rectifying Guidance for Semi-supervised Learning with Non-random Missing Labels. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi. “ Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi. “ Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. ” IEEE/CVF International Conference on Computer Vision (ICCV), 2023.
Yanqi Bao, Yuxin Li, Jing Huo, Tianyu Ding, Xinyue Liang, Wenbin Li, Yang Gao. “ Where and How: Mitigating Confusion in Neural Radiance Fields from Sparse Inputs. ” ACM Conference on Multimedia (ACM MM), 2023.
Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang. “ MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. ” International Conference on Computer Vision (ICCV), 2023.
Wenbin Li, Xuesong Yang, Meihao Kong, Lei Wang, Jing Huo, Yang Gao and Jiebo Luo. “ Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings. ” Transactions on Machine Learning Research (TMLR), 2023.
Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ 3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks. ” Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2023.
Boyao Shi, Wenbin Li, Jing Huo, Pengfei Zhu, Lei Wang, Yang Gao. “ Global- and Local-aware Feature Augmentation with Semantic Orthogonality for Few-shot Image Classification.” Pattern Recognition, 2023.
Lei Qi, Jiaqi Liu, Lei Wang, Yinghuan Shi, Xin Geng. “ Unsupervised Generalizable Multi-source Person Re-identification: A Domain-specific Adaptive Framework. ” Pattern Recognition (PR), 2023.
Jintao Guo, Na Wang, Lei Qi, Yinghuan Shi. “ ALOFT: A Lightweight MLP-like Architecture with Dynamic Low-Frequency Transform for Domain Generalization. ” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Lihe Yang, Lei Qi, Litong Feng, Wayne Zhang, Yinghuan Shi. “ Revisiting Weak-to-Strong Consistency in Semi-Supervised Semantic Segmentation. ” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Heng Cai, Shumeng Li, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ Orthogonal Annotation Benefits Barely-supervised Medical Image Segmentation. ” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2023.
Yue Duan, Zhen Zhao, Lei Qi, Lei Wang, Luping Zhou, Yinghuan Shi, Yang Gao. “ MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization. ” IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.
Wenbin Li, Zhichen Fan, Jing Huo, Yang Gao. Modeling Inter-Class and Intra-Class Constraints in Novel Class Discovery. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR'23), 2023.
Wubing Chen, Wenbin Li*, Xiao Liu, Shangdong Yang, Yang Gao*. Learning Explicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning via Polarization Policy Gradient. In: AAAI Conference on Artificial Intelligence (AAAI'23), 2023.
Linjian Meng, Zhenxing Ge, Pinzhuo Tian, Bo An, Yang Gao*. Deep FTRL-ORW: An Efficient Deep Reinforcement Learning Algorithm for Solving Imperfect Information Extensive-Form Games" . In: AAAI Conference on Artificial Intelligence (AAAI'23), 2023.
Huaxiong Li, Chao Zhang, Xiuyi Jia, Yang Gao, Chunlin Chen. Adaptive Label Correlation Based Asymmetric Discrete Hashing for Cross-Modal Retrieval. IEEE Trans. Knowl. Data Eng. 35(2): 1185-1199 (2023).

2022年

Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao. “ Playing Lottery Tickets in Style Transfer Models. ” ACM MM Workshop , 2022.
Wenbin Li, Lei Wang, Xingxing Zhang, Lei Qi, Jing Huo, Yang Gao, Jiebo Luo. Defensive Few-shot Learning.IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
Wenbin Li, Yanfang Liu, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo. A Multilayer Framework for Online Metric Learning. In: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
Jing Huo, Xiangde Liu, Wenbin Li, Yang Gao, Hujun Yin, Jiebo Luo. CAST: Learning Both Geometric and Texture Style Transfers for Effective Caricature Generation.In: IEEE Transactions on Image Processing (TIP), 2022.
Yanfang Liu, Xiaocong Fan, Wenbin Li, Yang Gao. Online Passive-Aggressive Active Learning for Trapezoidal Data Streams. In: IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang. Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation. In: European Conference on Computer Vision (ECCV'22), 2022.
Zhenxing Ge, Shangdong Yang, Pinzhuo Tian, Zixuan Chen, Yang Gao, " Modeling Rationality: Towards Better Performance Against Unknown Agents in Sequential Games" , IEEE Transactions on Cybernetics (TCYB), 2022, CCF-B.
Yang Liu, Kun Gao, Hongbin Deng, Tong Ling, Jiajia Lin, Xianqiang Yu, Xiangwei Bo, Jing Zhou, Lin Gao, Peng Wang, Jiajun Hu, Jian Zhang, Zhihui Tong, Yuxiu Liu, Yinghuan Shi, Lu Ke, Yang Gao, Weiqin Li. “A Time-Incorporated SOFA Score-Based Machine Learning Model for Predicting Mortality in Critically Ill Patients: A Multicenter, Real-world Study.” International Journal of Medical Informatics (IJMI), 2022
Ziyuan Wang, Zhen Zhao, Lei Qi, Yinghuan Shi, Yang Gao. “ Adaptive Weight of Unreliable Relation Module for Semi-supervised Multi-label Image Recognition. ” IEEE 8th International Conference on Cloud Computing and Intelligent Systems (CCIS), 2022.
Shumeng Li, Heng Cai, Lei Qi, Qian Yu, Yinghuan Shi, Yang Gao. “ PLN: Parasitic-Like Network for Barely Supervised Medical Image Segmentation. ” IEEE Transactions on Medical Imaging (TMI), 2022.
Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi. “ Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class. ” Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS), 2022. (Accepted as Spotlight, 5%)
Qian Yu, Lei Qi, Yang Gao, Wuzhang Wang, Yinghuan Shi. “ Crosslink-Net: Double-Branch Encoder Network via Fusing Vertical and Horizontal Convolutions for Medical Image Segmentation. ” IEEE Transactions on Image Processing (TIP), 2022.
Ruiqi Wang, Lei Qi, Yinghuan Shi, Yang Gao. “ Better Pseudo-label: Joint Domain-aware Label and Dual-classifier for Semi-supervised Domain Generalization. ” Pattern Recognition (PR), 2022.
Lei Qi, Lei Wang, Yinghuan Shi, Xin Geng. “ A Novel Mix-normalization Method for Generalizable Multi-source Person Re-identification. ” IEEE Transactions on Multimedia (TMM), 2022.
Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “MVDG: A Unified Multi-view Framework for Domain Generalization.” European Conference on Computer Vision (ECCV), 2022.
Ziqi Zhou, Lei Qi, Yinghuan Shi. “Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image Restoration.” European Conference on Computer Vision (ECCV), 2022.
Yue Duan, Lei Qi, Lei Wang, Luping Zhou, and Yinghuan Shi. “RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning.” European Conference on Computer Vision (ECCV), 2022.
Min Zhang, Siteng Huang, Wenbin Li, Donglin Wang. “Tree Structure-Aware Few-Shot Image Classification via Hierarchical Aggregation.” European Conference on Computer Vision (ECCV), 2022.
Yang Liu, Kun Gao, Hongbin Deng, Tong Ling, Jiajia Lin, Xianqiang Yu, Xiangwei Bo, Jing Zhou, Lin Gao, Peng Wang, Jiajun Hu, Jian Zhang, Zhihui Tong, Yuxiu Liu, Yinghuan Shi, Lu Ke, Yang Gao, Weiqin Li. “A Time-Incorporated SOFA Score-Based Machine Learning Model for Predicting Mortality in Critically Ill Patients: A Multicenter, Real-world Study.” International Journal of Medical Informatics (IJMI), 2022
Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao.“ ST++: Make Self-training Work Better for Semi-supervised Semantic Segmentation.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi.“ Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, and Yinghuan Shi. “ DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning.” IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2022.
Zhen Zhao, Luping Zhou, Lei Wang, Yinghuan Shi, Yang Gao.“ LaSSL: Label-guided Self-training for Semi-supervised Learning.” AAAI Conference on Artiﬁcial Intelligence (AAAI), 2022. (Accepted as oral).
Li, Zhao Qing, Kelei He, Hao-Yu Yang, Jinyao Zhang, Youbing Yin, Hunter W. McLellan, U. Joseph Schoepf, Bing Zhang*. “Calcium Scoring at Coronary CT Angiography Using Deep Learning” IRadiology, 2022.
Xiaoming Liu*, Quan Yuan, Yaozong Gao, Kelei He, Shuo Wang, Xiao Tang, Jinshan Tang, Dinggang Shen*. Weakly Supervised Segmentation of COVID19 Infection with Scribble Annotation on CT Images, Pattern Recognition, 2022 , 122: 108341.
Chong Jiang#, Kai Chen#, Yue Teng, Chongyang Ding, Zhengyang Zhou, Yang Gao, Junhua Wu, Jian He*, Kelei He*, Junfeng Zhang. Deep learning–based tumour segmentation and total metabolic tumour volume prediction in the prognosis of diffuse large B-cell lymphoma patients in 3D FDG-PET images, European Radiology, 2022.
Kelei He#, Chen Gan#, Zhuoyuan Li#, Islem Rekik#, Zihao Yin, Wen Ji, Yang Gao, Qian Wang*, Junfeng Zhang*, Dinggang Shen* Transformers in Medical Image Analysis: A Review. Intelligent Medicine, 2022 .

2021年

Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao. “Manifold Alignment for Semantically Aligned Style Transfer. ” International Conference on Computer Vision (ICCV), 2021. (Accepted as oral, 3%)
Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao. “Every Pixel Matters: Mining Latent Classes for Few-shot Segmentation. ” International Conference on Computer Vision (ICCV), 2021. (Accepted as oral, 3%)
Zekun Li, Wei Zhao, Feng Shi, Lei Qi, Xingzhi Xie, Ying Wei, Zhongxiang Ding, Yang Gao, Shangjie Wu, Jun Liu, Yinghuan Shi, Dinggang Shen. “ A novel multiple instance learning framework for COVID-19 severity assessment via data augmentation and self-supervised learning.” Medical Image Analysis (MedIA), 2021.
Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao. “ Generalizable Semantic Segmentation via Model-agnostic Learning and Target-specific Normalization.” Pattern Recognition (PR), 2021.
Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Xin Geng, Yang Gao. “Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification. ” IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2021
Xiaoting Han, Lei Qi, Qian Yu, Ziqi Zhou, Yefeng Zheng, Yinghuan Shi, Yang Gao. “Deep Symmetric Adaptation Network or Cross-modality Medical Image Segmentation.” IEEE Transactions on Medical Imaging (TMI), 2021
Yinghuan Shi, Jian Zhang, Tong Ling, Jiwen Lu, Yefeng Zheng, Qian Yu, Lei Qi, Yang Gao. “Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation.” IEEE Transactions on Medical Imaging (TMI), 2021
Li Yang, Jing Wu, Jing Huo*, Yu-Kun Lai, Yang Gao.Learning 3D Face Reconstruction from a Single Sketch.Graphical Models, 2021.
Hongwei Huang, Zhangkai Wu, Wenbin Li*, Jing Huo*, Yang Gao. Local descriptor-based multi-prototype network for few-shot Learning. Pattern Recognition, 2021
Zheng Gu, Chuanqi Dong, Jing Huo*, Wenbin Li, Yang Gao. CariMe: Unpaired Caricature Generation with Multiple Exaggerations. IEEE Transactions on Multimedia, 2021.
Zheng Gu, Wenbin Li, Jing Huo*, Lei Wang, Yang Gao. LoFGAN: Fusing Local Representations for Few-Shot Image Generation Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021
Haodi Hou, Jing Huo*, Jing Wu, Yu-Kun Lai and Yang Gao. MW-GAN: Multi-Warping GAN for Caricature Generation With Multi-Style Geometric Exaggeration. IEEE Transactions on Image Processing (IEEE TIP), vol. 30, pp. 8644-8657, 2021
Jie Xue, Kelei He, Dong Nie, Ehsan Adeli, Zhenshan Shi, Seong-Whan Lee, Yuanjie Zheng, Xiyu Liu, Dengwang Li, Dinggang Shen*. Cascaded MultiTask 3-D Fully Convolutional Networks for Pancreas Segmentation, IEEE Transactions on Cybernetics, TCYB, 2021
Kelei He#, Wei Zhao#, Xingzhi Xie, Wen Ji, Mingxia Liu, Zhenyu Tang, Yinghuan Shi, Feng Shi, Yang Gao, Jun Liu*, Junfeng Zhang*, Dinggang Shen*. Synergistic Learning of Lung Lobe Segmentation and Hierarchical Multi-Instance Classification for Automated Severity Assessment of COVID-19 in CT Images, Pattern Recognition, 2021
Kelei He, Chunfeng Lian, Ehsan Adeli, Jing Huo, Yang Gao, Bing Zhang, Junfeng Zhang*, Dinggang Shen*. MetricUNet: Synergistic Image-and Voxel-Level Learning for Precise Prostate Segmentation via Online Sampling, Medical Image Analysis, 2021
Kelei He, Chunfeng Lian, Bing Zhang, Xin Zhang, Xiaohuan Cao, Dong Nie, Yang Gao, Junfeng Zhang*, Dinggang Shen*. HF-UNet: Learning Hierarchically Inter-Task Relevance in Multi-Task U-Net for Accurate Prostate Segmentation, Medical Image Analysis, 2021

2020年

Pinzhuo Tian, Zhangkai Wu, Lei Qi, Lei Wang, Yinghuan Shi, Yang Gao. Differentiable Meta-learning Model for Few-shot Semantic Segmentation. In: AAAI Conference on Artificial Intelligence (AAAI'20), 2020.(CCF-A)
Xiao Liu, Wenbin Li, Jing Huo, Lili Yao and Yang Gao. Layerwise Sparse Coding for Pruned Deep Neural Networks with Extreme Compression Ratio. In: AAAI Conference on Artificial Intelligence (AAAI'20), 2020.(CCF-A)
Yong Liu, Weixun Wang, Yujing Hu, Jianye Hao, Xingguo Chen, Yang Gao. Multi-Agent Game Abstraction via Graph Neural Network. in Proc. 34th AAAI Conference on Artificial Intelligence (AAAI'20), 2020.(CCF-A)
Jinglin Xu*, Wenbin Li*, Xinwang Liu, Dingwen Zhang, Ji Liu and Junwei Han. Deep Embedded Complementary and Interactive Information for Multi-view Classification. In: AAAI Conference on Artificial Intelligence (AAAI'20), 2020.(CCF-A)
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao. From Few to More: Large-scale Dynamic Multiagent Curriculum Learning. In: Proc. 34th AAAI Conference on Artificial Intelligence (AAAI'20), 2020.(CCF-A)
Lei Qi, Lei Wang, Jing Huo, Yinghuan Shi, Yang Gao. Progressive Cross-camera Soft-label Learning for Semi-supervised Person Re-identification. IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2020.
Weixun Wang, Tianpei Yang, Yong Liu, Jianye Hao, Xiaotian Hao, Yujing Hu, Yingfeng Chen, Changjie Fan, Yang Gao. Action Semantics Network: Considering the Effects of Actions in Multiagent Systems. In: International Conference on Learning Representations (ICLR), 2020.(CCF-A)
Yanfang Liu, Dongyi Ye, Wenbin Li, Huihui Wang, Yang Gao. Robust neighborhood embedding for unsupervised feature selection[J]. Knowledge-Based Systems, 2020: 105462.
Tiexin Qin, Ziyuan Wang, Kelei He, Yinghuan Shi, Yang Gao, Dinggang Shen. Automatic Data Augmentation via Deep Reinforcement Learning for Effective Kidney Tumor Segmentation[C]//ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),2020.(CCF-B)
Feng Shi, Jun Wang, Jun Shi, Ziyan Wu, Qian Wang, Zhenyu Tang, Kelei He, Yinghuan Shi, Dinggang Shen. Review of Artificial Intelligence Techniques in Imaging Data Acquisition, Segmentation and Diagnosis for COVID-19. IEEE Reviews in Biomedical Engineering (RBME), 2020. (特邀综述)
Haodi Hou, Jing Huo, Yang Gao.Cross-domain Adversarial Autoencoder for Fine Grained Category Preserving Image Translation. 2020 International Joint Conference on Neural Networks (IJCNN).
Chuanqi Dong, Wenbin Li, Jing Huo*, Zheng Gu, Yang Gao. Learning Task-aware Local Representations for Few-Shot Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2020. (CCF-A)
Wenbin Li, Lei Wang, Jing Huo*, YinghuanShi ,Yang Gao, Jiebo Luo. Asymmetric Distribution Measure for Few-shot Learning. International Joint Conference on Artificial Intelligence (IJCAI), 2020. (CCF-A)
Changbin Shao, Jing Huo*, Lei Qi,Zhen-Hua Feng, Wenbin Li, Chuanqi Dong,Yang Gao. Biased Feature Learning for Occlusion Invariant Face Recognition. International Joint Conference on Artificial Intelligence (IJCAI), 2020. (CCF-A)
Pinzhuo Tian, Lei Qi, Shaokang Dong, Yinghuan Shi, Yang Gao. Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge. International Joint Conference on Artificial Intelligence (IJCAI), 2020. (CCF-A)
Shangdong Yang, Yang Gao. An Optimal Algorithm for the Stochastic Bandits whilst Knowing the Near-optimal Mean Reward. IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2020.(CCF-B)

Top

2019年

Fan Meng, Yang Gao, Jing Huo, Xiaolong Qi and Shichao Yi. NeoLOD: A Novel Generalized Coupled Local Outlier Detection Model embedded Non-IID Similarity Metric. PAKDD, 2019.
Chenyu Zhang, Hao Wang, Shangdong Yang, Yang Gao. A Contextual Bandit Approach to Personalized Online Recommendation via Sparse Interactions. PAKDD, 2019.
Ling Lin, Qian Yu, Zhirui Zhu, Yang Gao.Concept Drift Based Multi-Dimensional Data Streams Sampling Method. PAKDD, 2019.
Wenbin Li, Jinglin Xu, Jing Huo, Lei Wang, Yang Gao and Jiebo Luo. Distribution Consistency based Covariance Metric Networks for Few-shot Learning.In: AAAI Conference on Artificial Intelligence (AAAI'19), 2019.(CCF-A)
Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao and Jiebo Luo. Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning. CVPR, 2019.(CCF-A)
Lei Qi, Lei Wang, Jing Huo, Luping Zhou, Yinghuan Shi, Yang Gao. A Novel Unsupervised Camera-aware Domain Adaptation Framework for Person Re-identification. IEEE International Conference on Computer Vision (ICCV), 2019.(CCF-A)
Lei Qi, Jing Huo, Lei Wang, Yinghuan Shi, Yang Gao. MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification. ICME, 2019.
Qian Yu, Yinghuan Shi, Jinquan Sun, Yang Gao, Jianbing Zhu, Yakang Dai. Crossbar-Net: A Novel Convolutional Neural Network for Kidney Tumor Segmentation in CT Images. IEEE Trans. on Image Processing (TIP), 2019.(CCF-A)
Yinghuan Shi, Heung-Il Suk, Yang Gao, Seong-Whan Lee, Dinggang Shen. Leveraging Coupled Interaction for Multi-Modal Alzheimer’s Disease Diagnosis. IEEE Trans. on Neural Networks and Learning Systems (TNNLS), 2019.
Biting Yu, Luping Zhou, Lei Wang, Yinghuan Shi, Jurgen Fripp, Pierrick Bourgeat. Ea-GANs: Edge-aware Generative Adversarial Networks for Cross-modality MR Image Synthesis. IEEE Trans. on Medical Imaging (TMI), 2019.
Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen. Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks. IEEE Trans. on Medical Imaging (TMI), 2019.
Dong C, Gu Z, Huang Z, et al. DeepMEF: A Deep Model Ensemble Framework for Video Based Multi-modal Person Identification[C]//Proceedings of the 27th ACM International Conference on Multimedia. ACM(ACMMM Workshop), 2019: 2531-2534.(CCF-A)
Chen J, Yang L, Xu Y, et al. A Novel Deep Multi-Modal Feature Fusion Method for Celebrity Video Identification[C]//Proceedings of the 27th ACM International Conference on Multimedia. ACM(ACMMM Workshop), 2019: 2535-2538.(CCF-A)
Yong Liu, Yujing Hu, Yang Gao, Yingfeng Chen, Changjie Fan. "Value Function Transfer for Deep Multi-Agent Reinforcement Learning Based on N-Step Returns," in Proc. International Conference on Joint Artificial Intelligence (IJCAI) 2019.(CCF-A)
Xiaolong Qi, Xiaocong Fan, Yang Gao, Yanfang Liu. Learning Bayesian network structures using weakest mutual-information-first strategy[J]. International Journal of Approximate Reasoning, 2019, 114: 84-98.
ling Lin, Qian Yu, Wen Ji, Yang Gao. Feature-Selected and-Preserved Sampling for High-Dimensional Stream Data Summary[C]//2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2019: 1406-1411.
Yunkai Zhuang, Xingguo Chen, Yang Gao, Yujing Hu. Accelerating Nash Q-Learning with Graphical Game Representation and Equilibrium Solving[C]//2019 IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI). IEEE, 2019: 939-946.
Shuanzhu Sun, Zhangkai Wu, Chunlei Zhou, Xiaolong Qi, Bei Song, Yang Gao. A novel fault propagation path identification inference algorithm using parent nodes filter.International Journal of Data Science and Analytics.(2019).
Shaokang Dong, Jiarui Chen, Yong Liu, Tianyi Bao,Yang Gao. Reinforcement Learning from Algorithm Model to Industry Innovation: A Foundation Stone of Future Artificial Intelligence. TE Communications 17 (3), 31-41.
Kelei He, Jing Huo, Yinghuan Shi, Yang Gao, Dinggang Shen. MIDCN: A Multiple Instance Deep Convolutional Network for Image Classification.Pacific Rim International Conference on Artificial Intelligence, 230-243.

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2018年

Fan Meng, Yang Gao and Ruili Wang. A Novel Automatic Context-based Similarity Metric for Local Outlier Detection Tasks. ICTAI 2018.
Lei Qi, Jing Huo, Xiaocong Fan, Yinghuan Shi, Yao Gao. Unsupervised Joint Subspace and Dictionary Learning for Enhanced Cross-Domain Person Re-identification[J]. IEEE Journal of Selected Topics in Signal Processing, 2018.
Fan Meng, Yang Gao and Ruili Wang. A Novel Automatic Context-based Similarity Metric for Local Outlier Detection Tasks. ICTAI 2018(accetped)
Kelei He, Xiaohuan Cao, Yinghuan Shi, Dong Nie, Yang Gao, Dinggang Shen. Pelvic Organ Segmentation Using Distinctive Curve Guided Fully Convolutional Networks. IEEE Transactions on Medical Imaging (TMI), 2018. (CCF-B)
Pinzhuo Tian, Lei Qi, Yinghuan Shi, Luping Zhou, Yang Gao, Dinggang Shen. A NOVEL IMAGE-SPECIFIC TRANSFER APPROACH FOR PROSTATE SEGMENTATION IN MR IMAGES[J].2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Jing Huo, Wenbin Li, Yinghuan Shi, Yang Gao, Hujun Yin. WebCaricature: A Benchmark for Caricature Face Recognition. British Machine Vision Conference, 2018.
Yang Lv, Lei Qi, Jing Huo, Hao Wang, Yang Gao. Joint Multi-field Siamese Recurrent Neural Network for Entity Resolution[C]//Pacific Rim International Conference on Artificial Intelligence. Springer, Cham, 2018: 482-490.
Tingting Zhai, Hao Wang, Frederic Koriche, Yang Gao: Online feature selection by adaptive sub-gradient methods. In ECML-PKDD 2018. Accepted.
Jinhua Song, Yang Gao, Hao Wang. Feature Learning and Transfer Performance Predicting for Video Reinforcement Learning Tasks via Siamese Convolutional Neural Network. The 25th International Conference on Neural Information Processing (ICONIP), accepted, 2018.
Wenbin Li, Yang Gao, Lei Wang, Luping Zhou, Jing Huo, Yinghuan Shi.OPML: A one-pass closed-form solution for online metric learning. Pattern Recognition 75: 302-314, 2018
Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin.Heterogeneous Face Recognition by Margin-Based Cross-Modality Metric Learning. IEEE Trans. Cybernetics 48(6): 1814-1826 ,2018
Shangdong Yang, Hao Wang, Yang Gao, Xingguo Chen. An Optimal Algorithm for the Stochastic Bandits with Knowing Near-optimal Mean Reward.Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems. International Foundation for Autonomous Agents and Multiagent Systems AAMAS('18), pp 2130-2132. (CCF-B)
Jinhua Song, Hao Wang, Yang Gao and Bo An. Active Learning with Confidence-based Answers for Crowdsourcing Labeling Tasks. Knowledge-Based Systems，159: 244-258，2018
Minglin Ma, Yinghuan Shi, Wenbin Li, Yang Gao, and Jun Xu. A Novel Two-Stage Deep Method for Mitosis Detection in Breast Cancer Histology Images. 24th International Confefence on Pattern Recognition(ICPR), 2018
Wanqi Yang, Yinghuan Shi, Yang Gao, Lei Wang, Ming Yang.Incomplete Data-Oriented Multi-View Dimension Reduction via Sparse Low Rank Representation.IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2018
Wenbin Li, Jing Huo, Yinghuan Shi, Yang Gao, Lei Wang, Jiebo Luo. A Joint Local and Global Deep Metric Learning Method for Caricature Recognition. ACCV, 2018.

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2017年

Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin.Cross-Modal Metric Learning for AUC Optimization.IEEE Transactions on Neural Networks and Learning Systems , 2017, doi: 10.1109/TNNLS, 2017
Jing Huo, Yang Gao, Yinghuan Shi, Hujun Yin .Variation Robust Cross-Modal Metric Learning for Caricature Recognition .ACM Multimedia, Thematic Workshops, 2017
Jipeng Huang, Yinghuan Shi, Yang Gao.Multi-Scale Faster-RCNN Algorithm for Small Object Detection.CCF BigData, 2017 (Best Application Paper Award)
Jinquan Sun, Yinghuan Shi, Yang Gao, Dinggang Shen .A Point Says A Lot: An Interactive Segmentation Method for MR Prostate Using One-Point Labeling .MICCAI-MLMI, 2017
Huihui Wang,Yinghuan Shi,Xingguo Chen,Yang Gao.Cost-Sensitive Alternating Direction Method of Multipliers for Large-Scale Classification.IDEAL, 2017
Tingting Zhai, Yang Gao, Hao Wang, Longbin Cao. Classification of high-dimensional evolving data streams via a resource-effient online ensemble. Data Mining and Knowledge Discovery, 2017, 31(5):1242-1265.
Yinghuan Shi, Wanqi Yang, Yang Gao, Dinggang Shen. Does Manual Delineation Only Provide the Side Information in CT Prostate Segmentation? MICCAI 2017 (accepted)
Luping Zhou, Lei Wang, Jianjia Zhang, Yinghuan Shi, Yang Gao. Revisiting Distance Metric Learning for SPD Matrix based Visual Representation. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017)
Yinghuan Shi, Wenbin Li, Yang Gao, Longbing Cao, Dinggang Shen. Beyond IID: Learning to Combine Non-IID Metrics for Vision Tasks. The 31st AAAI Conference on Artificial Intelligence (AAAI 2017)
Ngai Meng Kou, Yan Li, Hao Wang, Leong Hou U, and Zhiguo Gong. Crowdsourced top-k queries by confidence-aware pairwise judgments. in: 2017 ACM SIGMOD International Conference on Management of Data (SIGMOD 2017)

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2016年

Huihui Wang, Yang Gao, Yinghuan Shi, Hao Wang. A Fast Distributed Classification Algorithm for Large-sacle Imbalanced Data. ICDM2016
Yonghong Yu, Yang Gao, Hao Wang, Ruili Wang. Joint User Knowledge and Matrix Factorization for Recommender Systems. WISE 2016
Yonghong Yu, Can Wang, Hao Wang, Yang Gao. Attributes coupling based matrix factorization for item recommendation. Applied Intelligence(SCI)
Huihui Wang, Yang Gao, Yinghuan Shi, Ruili Wang. Group-based Alternating Direction Method of Multipliers for Distributed Linear Classification. IEEE Trans. on Cybernetics (TCYB), 2016, (Accepted). (CCF-B)
Kelei He, Yinghuan Shi, Yang Gao, Jing Huo, Dong Wang, Ying Zhang. A Prototype Learning-Based Multi-Instance Convolutional Neural Network. CJC, 2016.
Jing Huo, Yang Gao, Yinghuan Shi, Wanqi Yang, Hujun Yin. Ensemble of Sparse Cross-Modal Metrics for Heterogeneous Face Recognition. ACM Multimedia, 2016 (Accepted, Oral). (CCF-A)
Jinhua Song, Yang Gao, Hao Wang, Bo An. Measuring the distance between finite Markov decision processes. Proceedings of the 15th International Joint Conference on Autonomous Agents and Multi-Agent Systems (AAMAS'16), pp.468-476. (CCF-B)
Shangdong Yang, Yang Gao, Bo An, Hao Wang, Xingguo Chen. Efficient average reward reinforcement learning using constant shifting values. 30th AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, February 2016. (CCF-A)
Lu Yu, Yang Gao, Yinghuan Shi. APK-RJ-MCMC: A Sliding Window Prior Knowledge-Based Algorithm for Change-Point Detection in Non-Homogeneous Dynamic Bayesian Networks. CCDM, 2016
Chenyu Zhang, Hao Wang, Yang Gao. Incremental Nonnegative Matrix Factorization Based on Matrix Sketching and k-means Clustering. IDEAL2016.
Xiaolong Qi, Yinghuan Shi, Ling Lin, Yang Gao. Grouping Parallel Bayesian Network Structure Learning Algorithm Based on Variable Ordering. IDEAL2016.
Lei Qi, Yinghuan Shi, Huihui Wang, Yang Gao. Multi-view Subspace Clustering via A Global Low-Rank Affinity Matrix. IDEAL2016.

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2015年

Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen. Semi-Automatic Segmentation of Prostate in CT Images via Spatial-Constrained Transductive Lasso. IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI), 2015, vol.37(11), p.2286-2303. (SCI, CCF-A)
Wanqi Yang, Yang Gao, Yinghuan Shi, Longbing Cao. MRM-Lasso: A Sparse Multi-View Feature Selection Method via Low-Rank Analysis. IEEE Trans. on Neural Networks and Learning Systems (TNNLS), 2015, vol.26(11), p.2801-2815. (SCI, CCF-B)
Yujing Hu, Yang Gao, Bo An. Accelerating multiagent reinforcement learning by equilibrium transfer. IEEE Transactions on Cybernetics, Vol.45, No.7, pp.1289-1302, 2015. (SCI, CCF-B)
Yinghuan Shi, Yaozong Gao, Shu Liao, Daoqiang Zhang, Yang Gao, Dinggang Shen. A Learning-Based Prostate Segmentation Method via Joint Transductive Feature Selection and Regression. Neurocomputing, 2015, vol.173, p.317-331. (SCI, CCF-C)
Yaozong Gao, Yanrong Guo, Yinghuan Shi, Shu Liao, Jun Lian, Dinggang Shen. Image-Guided Radiotherapy with Machine Learning. Machine Learning in Radiation Oncology, 2015, p.157-192 (Book Chapter)
Yujing Hu, Yang Gao, Bo An. Accelerating multiagent reinforcement learning by equilibrium transfer. IEEE Transactions on Cybernetics, Vol.45, No.7, pp.1289-1302, 2015. (EI, CCF-B)
Luping Zhou, Qian Wang, Li Wang, Yinghuan Shi. Machine Learning in Medical Imaging (Lecture Notes in Computer Science) (Eds.) Proceeding of MICCAI-MLMI 2015, Springer, LNCS 9352, 2015. (EI)
Ziyu Lu, Hao Wang, Nikos Mamoulis, Wenting Tu, David W. Cheung. Personalized location recommendation by aggregating multiple recommenders in diversity. 1st ACM RecSys Workshop on Location-Aware Recommendations (LocalRec) at the 9th ACM Conference on Recommender Systems (RecSys), Vienna, Austria, September 2015. (EI)
Wenbin Li, Yinghuan Shi, Wanqi Yang, Hao Wang, Yang Gao. Interactive image segmentation via cascaded metric learning. IEEE International Conference on Image Processing (ICIP), Québec City, Canada, September 2015. (EI, CCF-C)
Hao Wang, Nana Pan, Leong Hou U, Bohan Zhan, Zhiguo Gong. On dynamic top-k influence maximization. 16th International Conference on Web-Age Information Management (WAIM), Qingdao, Shandong, China, June 2015. (EI)

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2014年

Hao Wang, Shunguo Fan, Jinhua Song, Yang Gao, Xingguo Chen. Reinforcement learning transfer based on subgoal discovery and subtask similarity. IEEE/CAA Journal of Acta Automatica Sinica, 1(3): 257-266, 2014. (EI)
Hao Wang, Yilun Cai, Yin Yang, Shiming Zhang, Nikos Mamoulis. Durable queries over historical time series. IEEE Transactions on Knowledge and Data Engineering (TKDE), 26(3): 595-607, 2014. (SCI, CCF-A)
Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin. Multi-instance Dictionary Learning for Detecting Abnormal Events in Surveillance Videos. International Journal of Neural Systems. International Journal of Neural Systems (IJNS), 2014, 24(3). (SCI, CCF-C)
Xiaofei Zhao, Dongping Tian,Yinghuan Shi, Zhongzhi Shi. Knowledge Propagation and Reasoning Induced by Bridge Rule Chains in D3L. CJC 2014, vol.37(12), p.2419-2426.
Sanghyun Park, Yaozong Gao, Yinghuan Shi, Dinggang Shen. Interactive Prostate Segmentation with Adaptive Feature Selection and Manifold Regularization. Medical Physics, 2014, vol.41(11), p.111715-1-10. (EI)
Wanqi Yang, Yang Gao, Longbing Cao, Ming Yang, Yinghuan Shi. mPadal: A Joint Local-and-Global Multi-View Feature Selection Method for Activity Recognition. Applied Intelligence, 2014, vol.41(3), p.776-790. (SCI)
Yinghuan Shi, Heung-Il Suk, Yang Gao, Dinggang Shen. Joint Coupled-Feature Representation and Coupled Boosting for Alzheimer's Disease Diagnosis. CVPR, 2014 (accepted as oral, ratio = 5.75%). (EI, CCF-A)
Yusheng Jia, Yang Gao, Wanqi Yang, Jing Huo, Yinghuan Shi. A Novel Ego-Centered Academic Community Detection Approach via Factor Graph Model. IDEAL, 2014. (EI)
Yaozong Gao, Yinghuan Shi, Dinggang Shen. Interactive Prostate Segmentation based on Adaptive Feature Selection and Manifold Regularization Sanghyun Park. MICCAI-MLMI, 2014. (EI)
Yu-Bin Yang, Ya-Nan Li, Yang Gao, Hujun Yin, Ye Tang. Structurally Enhanced Incremental Neural Learning for Image Classification with Subgraph Extraction. Int. J. Neural Syst. 24(7) (2014)

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2013年

Yinghuan Shi, Yang Gao, Yubin Yang, Dong Wang, Ying Zhang. Multi-Modal Sparse Representation-Based Classification for Lung Needle Biopsy Images. IEEE Trans. on Biomedical Engineering (TBME), 2013, vol.60(10), p.2675-2684. (SCI)
Yinghuan Shi, Yang Gao, Ruili Wang, Dong Wang, Ying Zhang. Applied Intelligence.Transductive Cost-Sensitive Lung Cancer Image Classification. Applied Intelligence, 2013, vol.38(1), p.16-28. (SCI)
Shu Liao, Yaozong Gao, Yinghuan Shi, Ambereen Yousuf, Ibrahim Karademir, Aytekin Oto, Dinggang Shen. Automatic Prostate MR Image Segmentation with Sparse Label Propagation and Domain-Specific Manifold Regularization. IPMI, 2013. (EI)
Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen. Prostate Segmentation in CT Images via Spatial-Constrained Transductive Lasso. CVPR, 2013. (EI, CCF-A)
Hao Wang, Manolis Terrovitis, Nikos Mamoulis. Location recommendation in location-based social networks using user check-in data. 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), Orlando, Florida, November 2013. (EI)
Liqiang Qian, Yinghuan Shi, Yang Gao, Hujun Yin. Voting-XCSc: A Consensus Clustering Method via Learning Classifier System. IDEAL, 2013. (EI)
Yusheng Jia, Wanqi Yang, Yang Gao, Yinghuan Shi, Hujun Yin. Image Super Resolution via Visual Prior Based Digital Image Characteristics.IDEAL, 2013. (EI)
Hao Wang, Manolis Terrovitis, Nikos Mamoulis. Location recommendation in location-based social networks using user check-in data. 21st ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (GIS), Orlando, Florida, November 2013. (EI)
Liang Zhao, Lin Shang, Yang Gao, Yubin Yang, Xiuyi Jia. Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes]. IEEE Comp. Int. Mag. 8(1): 56-67(2013)
Wanqi Yang, Yang Gao, Longbing Cao. TRASMIL: A local anomaly detection framework based on trajectory segmentation and multi-instance learning. Computer Vision and Image Understanding 117(10): 1273-1286 (2013)
Yu-Bin Yang, Ling-Yan Pan, Yang Gao, Guang-Nan He, Yao Zhang:Visual word coding based on difference maximization. Neurocomputing 120: 277-286 (2013)
Xingguo Chen, Yang Gao, Ruili Wang. Online Selective Kernel-Based Temporal Difference Learning. IEEE Trans. Neural Netw. Learning Syst. 24(12): 1944-1956 (2013)

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2012年

Yang Gao, Mufeng Lin, Ruili Wang. Adaptive Support Framework for Wisdom Web of Things. World Wide Web Journal, DOI: 10.1007/s11280-012-0183-3, 2012. (SCI).
Yinhuan Shi, Yang Gao, Ruili Wang, Ying Zhang, Dong Wang. Transductive cost-sensitive lung cancer image classification. Applied Intelligence, DOI 10.1007/s10489-012-0354-z, 2012. (SCI).
Wanqi Yang, Yang Gao, Longbin Cao. A Local Anomaly Detection Framework Based on Trajectory Segmentation and Multi-instance Learning. Computer Vision and Image Understanding, 10.1016/j.cviu.2012.08.010, 2012. (SCI).
Liang Zhao, Shang Lin,Yang Gao, Yubin Yang, Xiuyi Jia. Video Behavior Analysis Using Topic Models and Rough Sets [Applications Notes]. IEEE Computational Intelligence Magazine 8(1): 56-67 (2013). (SCI)
Mingzhe Liu, Xianguo Tuo,Zhe Li, Jianbo Yang, Yang Gao. Asymmetric exclusion process for modeling of information flow. Computer Physics Communications 183 (2012):316-319. (SCI).
Jing Huo, Yang Gao, Wanqi Yang, Hujun Yin. Abnormal Event Detection via Multi-Instance Dictionary Learning. IDEAL 2012: 76-83. (Best Paper Award. (EI)
Yinghuan Shi, Shu Liao, Yaozong Gao, Daoqiang Zhang, Yang Gao, Dinggang Shen. Transductive Prostate Segmentation for CT Image Guided Radiotherapy. MLMI 2012: 1-9. (EI)
Liangdong Wang, Yang Gao, Chun Cao, Li Wang. Towards a General Supporting Framework for Self-adaptive Software Systems. 2012 Ieee 36th International Conference on Computer Software and Applications Workshops: 158-163. (EI)

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2011年

Liangdong Shi, Yinhuan Shi,Yang Gao, Lin Shang, Yubin Yang. XCSc: A Novel Approach to Clustering with Extended Classifier System. International Journal of Neural System, 21(1)：79-93,2011. (SCI)
Yan Jin, Yang Gao, Yinghuan Shi, Lin Shang, Ruili Wang, Yubin Yang. P2LSA and P2LSA+. Two Paralleled Probabilistic Latent Semantic Analysis Algorithms Based on the MapReduce Model. IDEAL 2011: 385-393. (EI)
Guangnan He, Yubin Yang, Yao Zhang, Yang Gao, Lin Shang. Image Region Segmentation Based on Color Coherence Quantization. IEA/AIE (1) 2011: 207-219. (EI)
Guangpeng Chen, Yubin Yang, Yao Zhang, Lingyan Pan, Yang Gao, Lin Shang. A Relevance Feedback Framework for Image Retrieval Based on Ant Colony Algorithm. ISVC (2) 2011: 328-337. (EI)
Aibao Luo, Xiuyi Jia, Lin Shang, Yang Gao, Yub Top
2010年
Hao Wang, Yang Gao,Xingguo Chen, Lin Shang, Yubin Yang. RL-DOT: A reinforcement learning NPC team for playing domination games. IEEE Transactions on Computational Intelligence and AI in Games, 2(1)：17-26,2010. (SCI)
Chi Su, Yang Gao, Chun Cao. Learning classifier system using both labeled and unlabeled data. GECCO 2010: 1065-1066. (EI)
Yinghuan Shi, Yang Gao, Ruili Wang. Real-Time Abnormal Event Detection in Complicated Scenes. ICPR 2010: 3653-3656. (EI, CCF-C)
Jingli Lu, Ruili Wang, Liyanage C. De Silva, Yang Gao, Jia Liu. CASTLE: A Computer-assisted Stress Teaching and Learning Environment for Learners of English as a Second Language. INTERSPEECH 2010: 606-609. (EI)

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2009年

Mingzhe Liu, Ruili Wang, Rui Jiang, Mao-Bin Hu, Yang Gao. Defect-induced transitions in synchronous asymmetric exclusion processes. Physics Letters A.January , 2009, 37(2):195-200. (SCI)
Weiwei Wang, Tianyin Xu, Yang Gao, Sanglu Lu. Probabilistic Seeking Prediction in P2P VoD Systems. Australasian Conference on Artificial Intelligence 2009: 676-685. (EI)
Xingguo Chen, Hao Wang, Weiwei Wang, Yinghuan Shi Yang, Gao. Apply ant colony optimization to Tetris. GECCO 2009: 1741-1742. (EI)
Jingli Lu, Ruili Wang, Liyanage C. De Silva, Yang Gao. Syllable nucleus Durations Estimation using Linear Regression based ensemble model. ICASSP 2009: 4849-4852. (EI)
Tianyin Xu, Weiwei Wang, Baoliu Ye, Wenzhong Li, Sanglu Lu, Yang Gao. Prediction-Based Prefetching to Support VCR-like Operations in Gossip-Based P2P VoD Systems. ICPADS 2009: 1-8. (EI)
Liangdong Shi, Yinghuan Shi, Yang Gao. Clustering with XCS and Agglomerative Rule Merging. IDEAL 2009: 242-250. (EI)
Yubin Yang, Wei Wei, Tong Lu, Yang Gao, Yao Zhang, Chunsheng Yang. 3D Scene Analysis Using UIMA Framework. IEA/AIE 2009: 369-378. (EI)
Xian-Xing Zhang, Hua Liu, Yang Gao, Derek Hao Hu. Detecting Abnormal Events via Hierarchical Dirichlet Processes. PAKDD 2009: 278-289. (EI)

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2008年

Yang Gao, Lin Shang, Yubin Yang. Intelligent Systems in Nanjing University. IEEE Intelligent Informatics Bulletin, November , 2008, 9(2):1-2.
Yinghuan Shi, Yang Gao, Liangdong Shi, Xiaowen Guo. Object Tracking Based on Partition and Recombination. 2008 International Conference on Advanced Intelligence, 362-367. (EI)
Liangdong Shi, Yang Gao, Lei Wu, Lin Shang. Clustering with XCS on Complex Structure Dataset. Australasian Conference on Artificial Intelligence 2008: 489-499. (EI)
Liang Zhu, Bo Zhao, Yang Gao. Multi-class Multi-instance Learning for Lung Cancer Image Classification Based on Bag Feature Selection. FSKD (2) 2008: 487-492. (EI)
Weiwei Wang, Yang Gao, Xingguo Chen, Shen Ge. Reinforcement Learning with Markov Logic Networks. MICAI 2008: 230-242. (EI)

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2007年

Yang Gao, Joshua Huang, Lei Wu. Learning Classifier System Ensemble and Compact Rule Set. Connection Science, Vol 19(4):321-337, 2007. (SCI)
Ben-Nian Wang, Yang Gao, Zhao-Qian Chen, Jun-Yuan Xie, Shi-Fu Chen. A two-layered multi-agent reinforcement learning model and algorithm. Journal of Network and Computer Applications 30(4): 1366-1376 (2007) (SCI).
Wu Lei, Su Chang, Gao, Yang. Online community thread similarity measurement algorithm based on author analysis. Journal of Computational Information Systems. 3(3):1313-1319, 2007. (EI Index Number: 072610674410).
Yang Gao, Hao Wang, Ruili Wang. Three Perspectives on Multi-agent Reinforcement Learning. Architectural Design of Multi-Agent Systems: Technologies and Techniques. IGI Global, pp:234-246, 2007
Yang Gao, Rui-yi Zhou, Hao Wang, Zhi-xin Cao. Study on an Average Reward Reinforcement Learning Algorithm. Chinese Journal of Computer. 2007,30(8):1372-1378. (in Chinese).
Yang Gao,Jin-kai Hu,Ben-nian Wang,Dong-li Wang. Elevator Group Control Using Reinforcement Learning with CMAC. ACTA ELECTRONICA SINICA, 2007.35(2): 362-365. (EI)
Quan Liu, Yang Gao, Zhiming Cui, WangShu Yao, ZhongWen Chen. An Tableau Automated Theorem Proving Method Using Logical Reinforcement Learning. ISICA 2007: 262-270. (EI)
Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Daqian Gu. LCSE: Learning Classifier System Ensemble for Incremental Medical Instances. in: Advances at the frontier of Learning Classifier Systems, LNAI 4399: 93-103, 2007. (EI)
Shen Ge, Yang Gao, Ruili Wang. Least Significant Bit Steganography Detection with Machine Learning Techniques. in: Proc. of 2007 ACM SIGKDD Workshop on Domain Driven Data Mining (DDDM 07), San Jose, California, USA, August 12, 2007, pp. 24-32. (EI)
Chen Fei, Gao Yang, Chen Shifu, Ma Zhenduo. Connect-based subgoal discovery for options in hierarchical reinforcement learning. ICNC 2007: 698-702. (EI)

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2006年

Yang Gao, Hao Wang, Ruili Wang. The Computation Method for Batch Belief Revision of Autonomous Agent. Proceedings of The 3rd International Conference on Autonomous Robots and Agents. pp:421-424, Massey University, Palmerston North, New Zealand, 12th - 14th December 2006.
Yang Gao, Lei Wu, Joshua Zhexue Huang. Ensemble Learning Classifier System and Compact Ruleset. Proceedings of the 6th International Conference on Simulated Evolution and Learning. LNCS4247, pp:42-49, 2006. (EI)
Ben-Nian Wang, Yang Gao. K-Cluster Subgoal Discovery Algorithm for Option. Journal of Computer Research and Development, 2006,43(5): 851-855. (EI Index Number: EIP 062910013955) (In Chinese).
Ben-Nian Wang, Yang Gao. RLGA: A Reinforcement Learning based Genetic Algorithm. ACTA ELECTRONICA SINICA,2006,34(5):856-860. (EI Index Number: EIP063110043196) (In Chinese).

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2005年

Yang Gao, Jue Wang, Zhi-hua Zhou, Ao-ying Zhou eds. Research progress of reinforcement learning. Machine Learning and Its Applications. Beijing, Tsinghua University Press. pp:116-134, 2005. (Book Chapter).
Chang Su, Yang Gao, Jianmei Yang. An efficient adaptive focused crawler based on ontology learning. Proceedings of the Fifth International Conference on Hybrid Intelligent Systems, HIS'05. November 06-09, 2005. Rio de Janeiro, Brazil. pp:73-78, 2005. (ISTP Number: BDN06).
Ben-Nian Wang, Yang Gao, Zhao-Qian Chen, Jun-Yuan Xie, Shi-Fu Chen. K-Cluster Algorithm for Automatic Discovery of Subgoals in Reinforcement Learning. International Conference on Intelligent Agents, Web Technology and Internet Commerce(IAWTIC05), Viena, Austria. Nov. 28-30, 2005.
Xun Liu, Yang Gao, Dong Shao, Ruili Wang. Feedback based Dynamic Autonomous Web Service Composition. The Proceedings of 1st International Conference on Semantics, Knowledge and Grid(SKG2005), Beijing, China, November 2005, IEEE Press. 201-210.
Dongjun Cai, Zongwei Luo, Kun Qian, Yang Gao. Towards Efficient Selection of Web Services with Reinforcement Learning Process. ictai, pp.372-376, 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'05), 2005.
Chang Su, Yang Gao, Shi-Fu Chen, Zhao-Qian Chen. The Study of Recognizing Options Based on SMDP. Pattern Recognition and Artificial Intelligence(PR & AI), Vol.18(6):679-684. (in Chinese).
Da-qian Gu, Yang Gao. Incremental gradient descent imputation method for missing data in learning classifier systems. CSCA 2005. Computer Research and Development, 2005.42(9, Supplement-B):228-232.?(in Chinese).
Jing liping, Gao Yang et al. Feature weighting K-means algorithms for large-scale documents clustering. CSCA 2005. Beijing, Computer Research and Development, 2005.42(9, Supplement-B):85-90. (in Chinese).
Wang Ben-Nian, Gao Yang, Chen Shi-Fu, and XIE Jun-Yuan. A review on web intelligence research. Journal of Computer Research and Development. Vol.42(5):721-727. (EI Number: EIP05249161046) (in Chinese).
Yang Pei, Gao Yang, Chen Zhaoqian. Believability based Iterated Belief Revision. Journal of Computer Research and Development. Vol.42(8): 1293-1298. (in Chinese).
Da-qian Gu, Yang Gao. Incremental gradient descent imputation method for missing data in learning classifier systems. Genetic and Evolutionary Computation Conference {(GECCO2005)} workshop program. ACM Press, Washington, D.C., USA, 2005. 72-73.
Wang Dongli, Yang Gao, Pei Yang. Applying Neural Network to Reinforcement Learning in Continuous Spaces. The International Symposium on Neural Networks. Advances in Neural Networks ?ISNN 2005: Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005, Proceedings, Part I. LNCS 3496. pp: 621-626.(IDS Number: BCN38).
Ben-Nian Wang, Yang Gao, Zhao-Qian Chen, Jun-Yuan Xie, Shi-Fu Chen. LMRL: a multi-agent reinforcement learning model and algorithm. The Proceeding of IEEE 3rd International Conference on Information Technology and Application(ICITA05), Sydney, Australia, July 2005. 303-307. (ISTP Number: BCQ24).
Yang Gao, Joshua Zhexue Huang, Hongqing Rong and Daqian Gu. Learning classifier system ensemble for data mining. Genetic and Evolutionary Computation Conference {(GECCO2005)} workshop program. ACM Press, Washington, D.C., USA, 2005. 63-66.
Yang Gao, Joshua Zhexue Huang, Hongqiang Rong. Adaptive Grid Job Scheduling with Genetic Algorithm. Future Generation Computer System. Elsevier Press. 2005.21:151-161. (IDS Number: 890VT, EI Number: EIP04528746266).
Yang Gao, Zongwei Luo, Ning Li. Mapping Web Usage Patterns to MDP Model and Mining with Reinforcement Learning. FSKD(2) 2005. LNCS 3614. pp:698-702. (IDS Number: BDA17).

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2004年

Yang Gao, Joshua Zhexue Huang, Hongqiang Rong, Zhihua Zhou. Meta-game Equilibrium for Multi-agent Reinforcement Learning. AI 2004. LNAI 3339, Australia , December 6-10, pp. 930-936. (IDS Number: BBM32).
Gao Yang, Chen Shifu, Lu Xin. Research on reinforcement learning technology: a review, ACTA AUTOMATICA SINICA, 2004.30(1):76-90 (in Chinese).
Jia Songmao, Gao Yang, Sun Zhaochun, Chen Shifu. A computational method of general belief revision. Computer Research and Development. 2004. 41(5):769-773(in Chinese) (EI Number: JYYFEY).
Li Ning, Gao Yang, Tang Guifeng, Chen Shifu. Mining Web Sequential Patterns Using Reinforcement Learning. Advanced Web Technologies and Applications: 6th Asia-Pacific Web Conference, APWeb 2004, Hangzhou, China, April 14-17, 2004. Proceedings. Lecture Notes in Computer Science 3007. pp: 920-923. (IDS Number: BY95Z).
Pei Yang, Yang Gao, Zhaoqian Chen, Shifu Chen. Believability Based Iterated Belief Revision. The 8th Pacific Rim International Conference on Artificial Intelligence. Trends in Artificial Intelligence: 8th Pacific Rim International Conference on Artificial Intelligence, Auckland, New Zealand, August 9-13, 2004. pp: 936-937.(IDS Number: BAU59).
Zhao Zhi-hong, Gao Yang, Luo Bin, Chen Shi-fu. Reinforcement learning technology in multi-agent system. Computer Science, 2004,31(3):23-27(in Chinese).

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2003年

Yang Gao, Zhaochun Sun, Ning Li. How to choose the optimal policy in multi-agent belief revision? Guoyin Wang, Qing Liu, Yiyu Yao, Andrzej Skowron (Eds.): Rough Sets, Fuzzy Sets, Data Mining, and Granular Computing, 9th International Conference, RSFDGrC 2003, Chongqing, China, May 26-29, 2003, Proceedings. Lecture Notes in Computer Science 2639 Springer 2003. pp706-710. (IDS Number: BX12N).
Gao Yang, Lu Xin, Li Ning, Chen Shifu. An adaptive rule extracting algorithm in probabilistic plan, Journal of Nanjing University, Vol.39(2):145~152 (in Chinese).
Sun Zhaochun, Gao Yang, Jia Songmao, Chen Shifu. The research of multi-agent belief revision. Journal of Computer Science, 2003.30(6): 105-107 (in Chinese).
Sun Zhaochun, Gao Yang, Chen Shifu. The Research of Multi-Agent Belief Revision: A Survey. Journal of Guangxi Normal Univerisity, 2003.21(1): 74-80. (Issue on CJCAI02, Guilin, PR. China) (in Chinese).
Yang Gao, Hongqiang Rong, Frank Tong, Zongwei Luo, Joshua Huang. Adaptive job scheduling for a service grid using a genetic algorithm. Grid and Cooperative Computing: Second International Workshop, GCC 2003, Shanghai, China, December 7-10, Part II. LNCS 3033. pp.65-72. (IDS Number: BAC97).

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2002年

Gao Yang, Li Ning, Lu Xin, Chen Shifu. An adaptive negotiation model in multi-agent system based on reinforcement learning. Proceedings of the International Conference on Intelligent Information Technology（ICIIT-02）, Sept 2002, Beijing, P.R.China, pp 526-531.
Gao Yang, Li Ning, Lu Xin, Chen Shifu. A novel learning classifier system based on reinforcement learning. Proceedings of the 2002 International Conference on Control and Automation（ICCA02）, June 2002, Xiamen, P.R.China, pp 482-486.
Lu Xin, Gao Yang, Li Ning, Chen Shifu. Research on a reinforcement learning algorithm based on neural network. Journal of Computer Research And Development, 2002.39(8) :981-985 (in Chinese).
Jia Songmao,Gao Yang,Sun Zhaochun, Chen Shifu. The implementation and application of a multi agent system - BereFrame. Computer Engineering and Applications, 2002,38(Supplement):52-54 (in Chinese).
Wang Liang, Gao Yang, Chen Shifu, Chen Zhengjie. A method for transforming XML into relation database based on SQL. Application Research of Computers, 2002.19(8) pp. 70-72(in Chinese).
Wang Yue, Gao Yang, Wang Liang, Chen Shifu. An Ameliorated Method Based on Rijndael Algorithm, Application Research of Computers, 2002.19(11) pp. 84-87(in Chinese).

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2001年

Gao Yang, Chen Shifu. Study on traffic modelling and delay of reservation-based ternary-tree protocol. Computer Applications and Software, 2001.18(3):51-56 (in Chinese).
Gao Yang, Chen Shifu. Approach to matrix-based storage model of video. Computer Applications and Software, 2001.18(2) :64-70(in Chinese).
Li Ning, Gao Yang, Lu Xin, Chen Shifu. A learning agent based on reinforcement learning. Journal of Computer Research and Development, 2001.38(9):1051-1056 (in Chinaese).
He Jiazhou, Zhou Zhihua, Gao Yang, Chen Shifu. Journal of Computer Research and Development, 2001.38(1) :93-97 (in Chinese).
Wang Lichun, Gao Yang, Chen Shifu. Reinforcement learning based negotiation model in AODE. Journal of Nanjing University, 2001.37(2):135-141 (in Chinese).
Lu Xin, Gao Yang, Li Ning, Chen Shifu. Function Approximation in Reinforcement Learning. CAAI'01, 2001.12, Beijing, China. (in Chinese).
Chen Zhengjie, Gao Yang, Li Ning, Chen Shifu. A realization method of B/S structure based on web in power supply security system. Application Research of Computers, 2001.18(10) :132-134 (in Chinese).

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2000年

Yang Gao, Haitao Liu, Zhihua Zhou, Zhaoqian Chen. A Hybrid Multi-Concepts Acquisition System. Journal of Software, 2000.11(4):453-460. (EI Number: EIP00095312036).
Yang Gao, Zhihua Zhou, Jiazhou He, Shifu Chen. Research on markov game-based multiagent reinforcement learning model and algorithms. Journal of Computer Research and development, 2000.37(3):257-263 (in Chinese).
Ning Li, Yang Gao, Xin Lu, Shifu Chen. Research on learning agent in AODE system, Journal of Nanjing University, 2000.36(11) (in Chinese).
Jiazhou HE, Yang Gao, Haitao Liu, Shifu Chen. An Information Dynamic Package Method for Data Warehousing.

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