近期论文
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Chuyao Luo, Xutao Li, Yunming Ye, Shanshan Feng, Michael K. Ng. Experimental Study on Generative Adversarial Network for Precipitation Nowcasting[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022.
Yuxi Sun, Shanshan Feng, Yunming Ye, Xutao Li,Jian Kang, Zhichao Huang, Chuyao Luo. Multi-sensor Fusion and Explicit Semantic Preserving-based Deep Hashing for Cross-Modal Remote Sensing Image Retrieval[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, vol.60:1-14.
Bowen Zhang, Xutao Li*, Xiaofei Xu, Ka-Cheong Leung, Zhiyao Chen, Yunming Ye. Knowledge Guided Capsule Attention Network forAspect-Based Sentiment Analysis, IEEE/ACM Transactions on Audio, Speech, and Language Processing, Vol. 28, pp. 2538-2551,2020
Xiaofei Yang, Xiaofeng Zhang, Yunming Ye, Raymond Y. K. Lau, Shijian Lu, Xutao Li, Xiaohui Huang: Synergistic 2D/3D Convolutional Neural Network for Hyperspectral Image Classification. Remote Sensing 12(12): 2033 (2020)
Feng Liu, Ruiming Tang, Xutao Li, Weinan Zhang, Yunming Ye, Haokun Chen, Huifeng Guo, Yuzhou Zhang, Xiuqiang He: State representation modeling for deep reinforcement learning based recommendation. Knowledge Based Systems 205: 106170 (2020)
Ye Ni, Xutao Li*, Yunming Ye, Chunshan Li, Dianhui Chu. An Investigation on Deep Learning Approaches to Combining Nighttime and Daytime Satellite Imagery for Poverty Prediction, IEEE Geoscience and Remote Sensing Letter, 2020.
Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye. Discriminative Distribution Alignment: A Unified Framework for Heterogeneous Domain Adaptation, Pattern Recognition, 101: 107165 (2020).
Lin Tian, Xutao Li*, Yunming Ye, Pengfei Xie, Yan Li. A Generative Adversarial Gated Recurrent Unit Model for Precipitation Nowcasting. IEEE Geoscience and Remote Sensing Letter, 2019.
Xiaofei Yang, Xutao Li*, Yunming Ye, Raymond Y. K. Lau, Xiaofeng Zhang, Xiaohui Huang: Road Detection and Centerline Extraction Via Deep Recurrent Convolutional Neural Network U-Net. IEEE Transactions Geoscience and Remote Sensing （TGRS) 57(9): 7209-7220, 2019
Bowen Zhang, Xiaofei Xu, Xutao Li*, Xiaojun Chen, Yunming Ye, Zhongjie Wang: Sentiment analysis through critic learning for optimizing convolutional neural networks with rules. Neurocomputing 356: 21-30 (2019)
Shaokai Wang, Xutao Li, Yunming Ye, Shanshan Feng, Raymond Y. K. Lau, Xiaohui Huang, Xiaolin Du: Anchor Link Prediction across Attributed Networks via Network Embedding. Entropy 21(3): 254 (2019)
Yan Fu, Xutao Li*, Yunming Ye. A multi-task learning model with adversarial data augmentation for classification of fine-grained images. Neurocomputing, 2019.
Yuan Yao, Xutao Li, Yunming Ye, Feng Liu, Michael K. Ng, Zhichao Huang, Yu Zhang. Low-resolution image categorization via heterogeneous domain adaptation. Knowledge-Based Systems, https://doi.org/10.1016/j.knosys.2018.09.027
Xiaofei Yang, Yunming Ye, Xutao Li, Raymond Y. K. Lau, and Xiaofeng Zhang, and Xiaohui Huang. Hyperspectral Image Classification With Deep Learning Models, IEEE Transactions on Geoscience and Remote Sensing （TGRS), 2018.
Xutao Li, Michael K. Ng, Xiaofei Xu, Yunming Ye, Block Principal Component Analysis for Tensor Objects with Frequency or Time Information, Neurocomputing (2018), doi: 10.1016/j.neucom.2018.02.014.
Xutao Li, Michael K. Ng, Yunming Ye, Ke Wang, Xiaofei Xu. “Block Linear Discriminant Analysis for Visual Tensor Objects with Frequency or Time Information”. Journal of Visual Communication and Image Representation, 2017.
Shaokai Wang, Ke Wang, Xutao Li, Yunming Ye, Raymond Lau, Xiaolin Du. "Multi-view learning via multiple graph regularized generative model". Knowledge-Based Systems, 121: 153-162,2017.
Xutao Li, Michael K. Ng, Gao Cong, Yunming Ye, Qingyao Wu. "MR-NTD: Manifold Regularization Nonnegative Tucker Decomposition for Tensor Data Dimension Reduction and Representation". IEEE Transactions on Neural Networks and Learning Systems(TNNLS), 2017.
Pham Nguyen Tuan-Anh, Xutao Li, Gao Cong, Zhenjie Zhang."A General Recommendation Model for Heterogeneous Networks". IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016. (CCF A 类)
Shaokai Wang, Xutao Li, Yunming Ye, Xiaohui Huang, Yan Li. "Multi-Attribute and Relational Learning via Hypergraph Regularized Generative Model". Neurocomputing, DOI: 10.1016/j.neucom.2016.06.003, 2016.
Shaokai Wang, Yunming Ye, Xutao Li, Xiaohui Huang, Raymond Y.K. Lau. "Semi-Supervised Collective Classification in Multi-Attribute Network Data". Neural Processing Letters, DOI:10.1007/s11063-016-9517-y, 2016.
Xutao Li, Yunming Ye， Michael K. Ng. "MultiVCRank with Applications to Image Retrieval". IEEE Transactions on Image Processing (TIP), Vol. 25, No.3, pp. 1396-1409, 2016. (CCF A 类, IF=3.625)
Xutao Li, Michael K. Ng, Yunming Ye. "MultiComm: Finding Community Structure in Multi-Dimensional Networks". IEEE Transactions on Knowledge and Data Engineering, Vol. 4, No.26, pp.929-941, 2014. (CCF A类，JCR 1区, IF=1.892)
Xutao Li, Yunming Ye, Michael K. Ng, Qingyao Wu. "MultiFacTV: Module Detection from Higher-order Time Series Biological Data". BMC Genomics, 14(Suppl 4):S2, 2014. （JCR 1区，IF=4.397）
Xutao Li, Yunming Ye, Mark Junjie Li, Michael K. Ng. "On cluster tree for nested and multi-density data clustering". Pattern Recognition, Vol. 43, No. 9, pp. 3130-3143, 2010. (CCF B类，JCR 1区, IF=2.632)
Xutao Li, Wen Li, Michael K. Ng and Yunming Ye. "On Multivariate Markov Chains for Common and Non-common Objects in Multiple Networks". Numerical Mathematics: Theory, Methods and Applications, Vol. 5, No. 3, pp. 384-402, 2012. （JCR 2区，IF=0.772）
Xutao Li, Michael K. Ng. "Solving Sparse Tensor Equations: Algorithms and Applications". Frontiers of Mathematics in China. DOI 10.1007/s11464-014-0377-3，pp. 1-32, 2014.（JCR 3 区， IF=0.323）
Xutao Li, Michael K. Ng. and Yunming Ye. "Finding Stationary Probability Vector of a Transition Probability Tensor Arising from a Higher-order Markov Chain". Technical Report at ICM in Hong Kong Baptist University, 8 February 2011.
Chuan Chen, Xutao Li, Michael K. Ng, Xiaoming Yuan. "Total Variation Based Tensor Decomposition for Multi-dimensional Data with Time Dimension". Numerical Linear Algebra with Applications, accepted, to appear, 2015. (JCR 1区, IF=1.202)
Yunming Ye, Qingyao Wu, Joshua Zhexue Huang, Michael K. Ng, Xutao Li. "Stratified sampling for feature subspace selection in random forests for high dimensional data". Pattern Recognition, Vol. 46, No. 3, pp. 769-787, 2013. (CCF B类，JCR 1区, IF=2.632)
Qingyao Wu, Michael K. Ng, Yunming Ye, Xutao Li, Ruichao Shi, Yan Li. "Multi-label collective classification via Markov chain based learning method". Knowledge Based Systems, Vol 63, 1-14, 2014. (JCR 1区, IF=4.104)
Yang Liu, Xutao Li, Zhiping Liu, Luonan Chen, Michael K. Ng. "Construction and Analysis of SNP-SNP Interaction Networks". IET Systems Biology, Vol 5. No. 7, 2013. (JCR 2区，IF=1.535)
Qingyao Wu, Kuiming Tan, Xutao Li, Huaqing Min, Ning Sun, NMFE-SSCC: Non-negative Matrix Factorization Ensemble for Semi-supervised Collective Classification, Knowledge-Based Systems, 2015. (JCR 1 区，IF=4.104)
Yixiang Fang, Haijun Zhang, Yunming Ye, Xutao Li. "Detecting Hot Topics from Twitter: A Multi-Viewer Approach". Journal of Information Science, DOI: 10.1177/01655515145416, pp. 1-16, 2014. (JCR 2区，IF=1.238)
Yanfeng Zhang, Xiaofei Xu, Yingqun Liu, Xutao Li, Yunming Ye. "A Novel Decision Cluster Classifier with Nested Agglomerative K-Means." Journal of Internet Technology. Vol 1, No. 14, pp.145-151, 2013. (JCR 4区，IF=0.481)
Xiaohui Huang, Xiaofeng Zhang, Yunming Ye, S. Deng, Xutao Li. "A Topic Detection Approach Through Hierarchical Clustering on Concept Graph". Applied Mathematics & Information Science, No. 6, Vol. 7, 2013. (JCR3区， IF=0.731)
Yunming Ye, Xutao Li, Biao Wu, Yan Li. "A comparative study of feature weighting methods for document co-clustering". International Journal of Information Technology, Communications and Convergence, Vol. 1, No. 2, 206-220, 2011.
Yuanyuan Wang, Yunming Ye, Xutao Li, Michael K. Ng and Joshua Zhexue Huang. "Hierarchical Information Theoretical Co-clustering For High Dimensional Data". International Journal of Innovative Computing, Information and Control, Vol. 7, No. 1, pp.487-500, 2011.
Yanfeng Zhang, Xutao Li, Yunming Ye, Xiaofei Xu, Shengchun Deng. "Information-theoretic Agglomerative K-means". Information Technology Journal, Vol. 10, No. 12, 2011.
Qingyao Wu, Jian Chen, Shen-Shyang Ho, Xutao Li, Huaqing Min, Chao Han. Multi-label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks. Big Data Research, 2015.
会议论文
Baoquan Zhang, Hao Jiang, Shanshan Feng, Xutao Li, Yunming Ye, Rui Ye. Hyperbolic Knowledge Transfer with Class Hierarchy for Few-Shot Learning. IJCAI, 2022 (CCF A类）
Baoquan Zhang, Xutao Li*, Shanshan Feng, Yunming Ye, Rui Ye. MetaNODE: Prototype Optimization as a Neural ODE for Few-Shot Learning. AAAI, 2022 (CCF A类）
Baoquan Zhang, Xutao Li*, Yunming Ye, Zhichao Huang, Lisai Zhang. Prototype completion with primitive knowledge for few-shot learning. CVPR. 2021: 3754-3762. (CCF A类）
Zhichao Huang, Xutao Li*, Yunming Ye, Michael K. Ng: MR-GCN: Multi-Relational Graph Convolutional Networks based on Generalized Tensor Product. IJCAI 2020: 1258-1264. (CCF A类）
Bowen Zhang, Min Yang, Xutao Li*, Yunming Ye, Xiaofei Xu, Kuai Dai: Enhancing Cross-target Stance Detection with Transferable Semantic-Emotion Knowledge. ACL 2020: 3188-3197. (CCF A类）
Feng Liu, Huifeng Guo, Xutao Li*, Ruiming Tang, Yunming Ye, Xiuqiang He. End-to-End Deep Reinforcement Learning based Recommendation with Supervised Embedding. WSDM, 2019. (CCF B类)
Yuan Yao, Yu Zhang, Xutao Li, Yunming Ye: Heterogeneous Domain Adaptation via Soft Transfer Network. ACM Multimedia 2019: 1578-1586. (CCF A类）
Xiaofei Yang, Xutao Li, Yunming Ye, Xiaofeng Zhang, Haijun Zhang, Xiaohui Huang, Boweng Zhang: Road Detection via Deep Residual Dense U-Net. IJCNN 2019: 1-7 (CCF C类）
Bowen Zhang, Xiaofei Xu, Xutao Li, Yunming Ye, Xiaojun Chen, Lianjie Sun: Learning Personalized End-to-End Task-Oriented Dialogue Generation. NLPCC (1) 2019: 55-66 (CCF C 类)
Lianjie Sun, Xutao Li*, Bowen Zhang, Yunming Ye, Baoxun Xu: Learning Stance Classification with Recurrent Neural Capsule Network. NLPCC (1) 2019: 277-289 (CCF C类)
Feng Liu, Ruiming Tang, Xutao Li, Yunming Ye, Huifeng Guo, Xiuqiang He. Novel Approaches to Accelerating the Convergence Rate of Markov Decision Process for Search Result Diversification, DASFAA, 2018. (CCF B类）
Shaokai Wang, Xutao Li ,Yunming Ye, Yan Li, Xiaohui Huang, Xiaolin Du. "A generative model with hypergraph regularizers for protein function prediction". 2017 International Joint Conference on Neural Networks(IJCNN), pp.1289-1296, 2017. (CCF C类）
Zhizhao Huang, Yunming Ye, Xutao Li, Feng Liu. "Joint Weighted Nonnegative Matrix Factorization for Mining Attributed Graphs".Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp.368-380, 2017. (CCF C类）
Tuan-Anh Nguyen Pham, Xutao Li, Gao Cong. "A General Model for Out-of-town Region Recommendation". the 26th World Wide Web Conference(WWW), 2017. (CCF A 类)
Xutao Li, Yunming Ye, Xiaofei Xu. "Low-Rank Tensor Completion with Total Variation for Visual Data Inpainting." the 31st AAAI conference on Artificial Intelligence (AAAI), 2017. (CCF A 类)
Xutao Li, Gao Cong, Xiaoli Li, Pham Nguyen Tuan Anh, Shonali Priyadarsini Krishnaswamy." Rank-GeoFM: A Ranking based Geographical Factorization Method for Point of Interest Recommendation". International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2015. (CCF A类，regular paper)
Xutao Li, Tuan-Anh Nguyen Pham, Gao Cong, Quan Yuan, Xiao-Li Li, Shonali Krishnaswamy. "Where you Instagram? Associating Your Instagram Photos with Points of Interest". ACM International Conference on Information and Knowledge Management (CIKM), 2015. (CCF B 类, regular paper)
Shanshan Feng, Xutao Li, Yifeng Zeng, Gao Cong, Yeow Meng Chee, Quan Yuan. "Personalized Ranking Metric Embedding for Next New POI Recommendation". International Joint Conference on Artificial Intelligence (IJCAI), 2015. (CCF A类, regular paper)
Pham Nguyen Tuan-Anh, Xutao Li, Gao Cong, Zhenjie Zhang."A General Graph-based Model for Recommendation in Event-based Social Networks". International Conference on Data Engineering (ICDE), 2015. (CCF A 类, regular paper)
Michael K. Ng, Xutao Li and Yunming Ye. "MultiRank: co-ranking for objects and relations in multi-relational data". In proceeding of 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 1217-1225, 2011. ( CCF A类, regular paper)
Xutao Li, Michael K. Ng, Yunming Ye. "HAR: Hub, Authority and Relevance Scores in Multi-Relational Data for Query Search". In proceeding of 12th SIAM International Conference on Data Mining (SDM), pp. 141-152, 2012. (CCF B类, regular paper)
Xutao Li, Yunming Ye, Qingyao Wu, Michael K. Ng. "MultiFacTV: Finding Modules from Higher-order Gene Expression Profiles with Time Dimension", IEEE Conference on BioInformation and BioMedicine (BIBM), pp.1-6, 2012. (CCF B类, regular paper)
Yunming Ye, Xutao Li, Biao Wu, Yan Li. "Feature Weighting Information-Theoretic Co-Clustering for Document Clustering". International Conference on Computer Science and Its Applications, pp. 1-6, 2009.
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