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    2020
  • 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.
  • 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)
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    2019
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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
  • 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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