代表性论文
一、大数据分析及知识工程研究室
[1] Yi Cai, Ho-fung Leung, Qing Li, Huaqing Min, Jie Tang, Juanzi Li. Typicality-Based Collaborative Filtering Recommendation. IEEE Transactions on Knowledge and Data Engineering, 26(3): 766-779, 2014.
[2] Yi Cai, Qing Li, Haoran Xie, Huaqing Min. Exploring personalized searches using tag-based user profiles and resource profiles in folksonomy. Neural Networks, 58: 98-110, 2014.
二、复杂多模态信息处理研究室
[1] Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan. Improving Generative Adversarial Networks with Local Coordinate Coding. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020.
[2] Hanrui Wu, Yuguang Yan, Guosheng Lin, Min Yang, Michael K. Ng, Qingyao Wu. Iterative Refinement for Multi-source Visual Domain Adaptation. IEEE Transactions on Knowledge and Data Engineering, 2020
[3] Shihao Zhang, Yuguang Yan, Pengshuai Yin, Zhen Qiu, Wei Zhao, Guiping Cao, Wan Chen, Jin Yuan, Risa Higashita, Qingyao Wu, Mingkui Tan, Jiang Liu. Guided M-Net for High-Resolution Biomedical Image Segmentation with Weak Boundaries. International Workshop on Ophthalmic Medical Image Analysis, 43-51, 2019.
[4] Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael K. Ng, Huaqing Min, Ivor W. Tsang. Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. IEEE Transactions on Neural Networks and Learning Systems, 29(7): 3252-3263, 2018.
[5] Yuguang Yan, Qingyao Wu, Mingkui Tan, Michael Ng, Huaqing Min, Ivor Tsang. Online Heterogeneous Transfer by Hedge Ensemble of Offline and Online Decisions. IEEE Transactions on Neural Networks and Learning Systems, 29(7): 3252-3263, 2018
[6] Yifan Zhang, Peilin Zhao, Jiezhang Cao, Wenye Ma, Junzhou Huang, Qingyao Wu, Mingkui Tan. Online Adaptive Asymmetric Active Learning for Budgeted Imbalanced Data. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2768-2777, 2018
[7] Chaorui Deng, Qi Wu, Qingyao Wu, Fuyuan Hu, Fan Lyu, Mingkui Tan. Visual Grounding via Accumulated Attention. Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 7746-7755, 2018.
[8] Jiezhang Cao, Yong Guo, Qingyao Wu, Chunhua Shen, Junzhou Huang, Mingkui Tan. Adversarial Learning with Local Coordinate Coding. International Conference on Machine Learning, 80:707-715, 2018.
[9] 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, 28(8): 1787-1800, 2017.
[10]Qingyao Wu, Hanrui Wu, Xiaoming Zhou, Mingkui Tan, Yonghui Xu, Yuguang Yan, Tianyong Hao. Online Transfer Learning with Multiple Homogeneous or Heterogeneous Sources. IEEE Transactions on Knowledge and Data Engineering, 29(7): 1494-1507, 2017.
[11]Qingyao Wu, Yuguang Yan, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng, Huaqing Min. ML-Forest: A Multi-label Tree Ensemble Method for Multi-Label Classification. IEEE Transactions on Knowledge and Data Engineering, 28(10): 2665-2680, 2016.
[12]Qingyao Wu, Mingkui Tan, Hengjie Song, Jian Chen, Michael K. Ng. ML-Forest: A Multi-label Tree Ensemble Method for Multi-Label Classification. IEEE Transactions on Knowledge and Data Engineering, 28(10): 2665-2680, 2016
[13]Qingyao Wu, Yunming Ye, Haijun Zhang, Tommy W. S. Chow, Shen-Shyang Ho. ML-TREE: A Tree-Structure-Based Approach to Multilabel Learning. IEEE Transactions on Neural Networks and Learning Systems, 26(3): 430-443, 2015.
[14]Haoran Xie, Qing Li, Xudong Mao, Xiaodong Li, Yi Cai, Yanghui Rao: Communityaware user profile enrichment in folksonomy. Neural Networks, 58: 111-121, 2014.
三、机器人智能与应用研究室
[1] Han Huang, Junpeng Su, Yushan Zhang, Zhifeng Hao. An Experimental Method to Estimate Running Time of Evolutionary Algorithms for Continuous Optimization. IEEE Transactions on Evolutionary Computation, 24(2): 275-289, 2020.
[2] Xueming Yan, Han Huang, Zhifeng Hao and Jiahai Wang. A Graph-based Fuzzy Evolutionary Algorithm for Solving Two-Echelon Vehicle Routing Problems. IEEE Transactions on Evolutionary Computation, 24(1): 129-141, 2020.
[3] Han Huang, Yihui Liang, Xiaowei Yang, Zhifeng Hao. Pixel-level Discrete Multiobjective Sampling for Image Matting, IEEE Transactions on Image Processing, 27(8): 3739-3751, 2019.
[4] Han Huang, Fangqing Liu, Zhongming Yang, Zhifeng Hao. Automated test case generation based on differential evolution with relationship matrix for IFOGSIM toolkit. IEEE Transactions on Industrial Informatics, 14(11): 5005-5016, 2018
[5] Han Huang, Fangqing Liu, Zhifeng Hao. Differential Evolution Based on SelfAdaptive Fitness Function for Automated Test Case Generation. IEEE Computational Intelligence Magazine, 12(2): 46-55, 2017
四、机器视觉与机器学习研究室
[1] Dong Gong, Mingkui Tan, Qinfeng Shi, Anton van den Hengel, Yanning Zhang. MPTV: Matching Pursuit-Based Total Variation Minimization for Image Deconvolution. IEEE Transactions on Image Processing, 28(4): 1851-1865, 2019.
[2] Xuanyi Dong, Yan Yan, Mingkui Tan, Yi Yang, Ivor W. Tsang. Late Fusion via Subspace Search with Consistency Preservation. IEEE Transactions on Image Processing, 28(1): 518-528, 2019.
[3] Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang. Nat: Neural architecture transformer for accurate and compact architectures. Advances in Neural Information Processing Systems, 737-748, 2019.
[4] Yan Yan, Mingkui Tan, Ivor Tsang, Yi Yang, Qinfeng Shi, Chengqi Zhang. Fast and Low Memory Cost Matrix Factorization: Algorithm, Analysis and Case Study. IEEE Transactions on Knowledge and Data Engineering, 2018.
[5] Zhuangwei Zhuang, Mingkui Tan, Bohan Zhuang, Jing Liu, Yong Guo, Qingyao Wu, Junzhou Huang, Jinhui Zhu. Discrimination-aware channel pruning for deep neural networks. Advances in Neural Information Processing Systems, 875-886, 2018.
[6] Shijie Xiao, Mingkui Tan, Dong Xu, Zhao Yang Dong. Robust Kernel Low-Rank Representation. IEEE Transactions on Neural Networks and Learning Systems, 27(11): 2268-2281, 2016.
[7] Mingkui Tan, Ivor W. Tsang, Li Wang. Matching Pursuit LASSO Part I: Sparse Recovery over Big Dictionary. IEEE Transactions on Image Processing, 63(3): 727- 741, 2015.
[8] Mingkui Tan, Ivor W. Tsang, Li Wang. Towards ultrahigh dimensional feature selection for big data. Journal of Machine Learning Research, 15(1): 1371-1429, 2014.