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2022.03 - 至今：          鵬城國(guó)家實(shí)驗(yàn)室雙聘導(dǎo)師

2015.09 - 至今：          華南理工大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院  教授,、博導(dǎo)  

2012.05 - 2015.08：    華南理工大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院 教授（先上崗）,、博導(dǎo) 

2010.09 - 2012.05：    華南理工大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院 副教授，碩士生導(dǎo)師 

2009.04 - 2010.08：    華南理工大學(xué)計(jì)算機(jī)科學(xué)與工程學(xué)院 講師 

2016. 3 - 2017. 2，  澳門大學(xué),，科學(xué)學(xué)院，訪問(wèn)學(xué)者 （合作導(dǎo)師：陳俊龍教授） 

2013.03 - 2015.02，香港浸會(huì)大學(xué)，計(jì)算機(jī)系,，Postdoctoral research fellow 

2011.04 - 2013.02，香港理工大學(xué),，電子計(jì)算機(jī)系,，Postdoctoral research fellow 

2009.04 - 2010.01,， 香港城市大學(xué)，計(jì)算機(jī)系,，Research fellow

2008.03 - 2008.08,， 香港城市大學(xué)，計(jì)算機(jī)系,，Research fellow 

2005.01 - 2008.02,， 香港城市大學(xué)，計(jì)算機(jī)系,，PhD 

2017年 國(guó)家優(yōu)秀青年科學(xué)基金獲得者 

2014年 廣東高校“千百十人才培養(yǎng)計(jì)劃”省級(jí)培養(yǎng)對(duì)象 

2013年 廣東省杰出青年科學(xué)基金獲得者 

2012年 香江學(xué)者計(jì)劃 

2011年 教育部新世紀(jì)優(yōu)秀人才支持計(jì)劃

華為自動(dòng)駕駛網(wǎng)絡(luò)顧問(wèn) （2019-）

CCF理事（2016-2019,，2020-2023） 

CCF杰出會(huì)員,、IEEE高級(jí)會(huì)員,、ACM高級(jí)會(huì)員、CAAI高級(jí)會(huì)員  

2015-2016 CCF YOCSEF廣州分論壇主席 

 CCF 廣州分會(huì) 委員 

IEEE Computational Intelligence Society “Data Mining and Big Data Analytics”委員會(huì)委員 

中國(guó)計(jì)算機(jī)學(xué)會(huì)人工智能與模式識(shí)別專委會(huì)委員 

中國(guó)計(jì)算機(jī)學(xué)會(huì)數(shù)據(jù)庫(kù)專委會(huì)委員 

中國(guó)計(jì)算機(jī)學(xué)會(huì)多媒體專委會(huì)委員 

中國(guó)人工智能學(xué)會(huì)機(jī)器學(xué)習(xí)專委會(huì)委員 

中國(guó)人工智能學(xué)會(huì)知識(shí)工程與分布智能專委會(huì)委員 

 期刊：IEEE Transactions on Systems, Man, and Cybernetics: Systems副主編,，國(guó)內(nèi)CCF會(huì)刊《計(jì)算機(jī)應(yīng)用》編委 ,，期刊《Informatica》編委，擔(dān)任眾多國(guó)際知名頂級(jí)期刊審稿人,，擔(dān)任多個(gè)國(guó)際和國(guó)內(nèi)會(huì)議的分會(huì)主席或程序委員會(huì)成員,。 

項(xiàng)目評(píng)審：國(guó)家自然科學(xué)基金項(xiàng)目同行通訊評(píng)議專家、CCF優(yōu)博評(píng)審專家,、廣東省自然科學(xué)基金項(xiàng)目同行通訊評(píng)議專家,、廣東省和廣州市相關(guān)科技項(xiàng)目評(píng)審專家

論文情況：已經(jīng)發(fā)表學(xué)術(shù)論文200多篇，其中70篇IEEE Transactions系列,。 

項(xiàng)目情況：主持和參與項(xiàng)目30多項(xiàng),，其中主持省部級(jí)及以上科研項(xiàng)目14項(xiàng) 

研究興趣：機(jī)器學(xué)習(xí)、數(shù)據(jù)挖掘,，人工智能,、模式識(shí)別

講授課程：數(shù)據(jù)庫(kù)、神經(jīng)網(wǎng)絡(luò)與深度學(xué)習(xí)

1. 2023年,，中國(guó)人工智能學(xué)會(huì)吳文俊人工智能自然科學(xué)獎(jiǎng)二等獎(jiǎng),， “面向復(fù)雜多源異構(gòu)數(shù)據(jù)的模式發(fā)現(xiàn)及應(yīng)用”，余志文,、陳俊龍,、楊楷翔

2. 2021年，中國(guó)計(jì)算機(jī)學(xué)會(huì)自然科學(xué)獎(jiǎng)二等獎(jiǎng),， “面向高維數(shù)據(jù)的集成學(xué)習(xí)研究”,，余志文、陳俊龍,、馬千里,、楊楷翔,、施一帆

3. 2015年，廣東省計(jì)算機(jī)學(xué)會(huì)科學(xué)技術(shù)獎(jiǎng)“視覺(jué)計(jì)算關(guān)鍵理論研究與應(yīng)用”,，一等獎(jiǎng),，排名第三 

4. 2014年，廣東省高等教育教學(xué)成果獎(jiǎng)“計(jì)算機(jī)科學(xué)與技術(shù)創(chuàng)新人才培養(yǎng)模式的探索與實(shí)踐”,，一等獎(jiǎng),，排名第四. 

5. ACM-China & CCF廣州分會(huì)新星獎(jiǎng)

已經(jīng)發(fā)表學(xué)術(shù)論文200多篇， 70篇IEEE Transactions系列,。

1. Zhiwen Yu, Zhijie Zhong, Kaixiang Yang, Wenming Cao, C. L. Philip Chen, “Broad Learning Autoencoder with Graph Structure for Data Clustering”, IEEE Transactions on Knowledge and Data Engineering, vol.36, no.1, pp. 49-61, 2024.

2. Yuhong Xu, Zhiwen Yu, C. L. Philip Chen, “Improved Contraction-Expansion Subspace Ensemble for High-Dimensional Imbalanced Data Classification”,  IEEE Transactions on Knowledge and Data Engineering, vol.36, no.10, pp. 5194-5205, 2024. 

3. Guojie Li, Zhiwen Yu, Kaixiang Yang, Mianfen Lin, C. L. Philip Chen, “Exploring Feature Selection with Limited Labels: A Comprehensive Survey of Semi-Supervised and Unsupervised Approaches”; IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 11, pp. 6124-6144, 2024.

4. Kaixiang Yang, Zhiwen Yu, Wuxing Chen, Zefeng Liang, C. L. Philip Chen, “Solving the Imbalanced Problem by Metric Learning and Oversampling”, .IEEE Transactions on Knowledge and Data Engineering, vol.36, no.12, pp. 9294-9307, 2024.

5. Fan Yun, Zhiwen Yu, Kaixiang Yang, C. L. Philip Chen, “AdaBoost-Stacking Based on Incremental Broad Learning System”, . .IEEE Transactions on Knowledge and Data Engineering, vol.36, no.12, pp. 7585-7599, 2024.

6. Zhijie Zhong, Zhiwen Yu; Kaixiang Yang, Ziwei Fan, C. L. Philip Chen, "Adaptive Memory Broad Learning System for Unsupervised Time Series Anomaly Detection", IEEE Transactions on Neural Networks and Learning Systems, 2024. (Accept) 

7. Yuhong Xu, Zhiwen Yu*, C. L. Philip Chen, “Classifier Ensemble Based on Multiview Optimization for High-Dimensional Imbalanced Data Classification,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 1, pp.870-883, 2024.

8. Yifan Shi, Zhiwen Yu*, C. L. Philip Chen, Huanqiang Zeng, “Consensus Clustering with Co-Association Matrix Optimization,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 3, pp. 4192-4205, 2024.

9. Mianfen Lin, Kaixiang Yang, Zhiwen Yu, Yifan Shi, C. L. Philip Chen, “Hybrid Ensemble Broad Learning System for Network Intrusion Detection”, IEEE Trans. Ind. Informatics,  vol.20, no.4, pp.5622-5633, 2024.

10. Guoliang He, Lifang Dai, Zhiwen Yu, C. L. Philip Chen, “GAN-Based Temporal Association Rule Mining on Multivariate Time Series Data”, IEEE Transactions on Knowledge and Data Engineering, vol. 36, no. 10, pp. 5168-5180, 2024.

11. Guoliang He, Dawei Jin, Lifang Dai, Xin Xin, Zhiwen Yu, C. L. Philip Chen, “Online Learning of Temporal Association Rule on Dynamic Multivariate Time Series Data”, IEEE Transactions on Knowledge and Data Engineering, vol.36, no.12, pp.8954-8966, 2024.

12. Cheng Liu, Rui Li, Hangjun Che, Man-Fai Leung, Si Wu, Zhiwen Yu, Hau-San Wong, “Latent Structure-Aware View Recovery for Incomplete Multi-View Clustering”, IEEE Transactions on Knowledge and Data Engineering, vol.36, no.12, pp. 8655-8669, 2024.

13. Cheng Liu, Rui Li, Si Wu, Hangjun Che, Dazhi Jiang, Zhiwen Yu, Hau-San Wong, “Self-Guided Partial Graph Propagation for Incomplete Multiview Clustering”,  IEEE Transactions on Neural Networks and Learning Systems, vol.35, no.8, pp. 10803-10816, 2024.

14. Dan Dai, Zhiwen Yu*, Weijie Huang, Yang Hu, C.L.Philip Chen, “Multi-Objective Cluster Ensemble Based on Filter Refinement Scheme”, IEEE Transactions on Knowledge and Data Engineering, vol. 35, no.8, pp. 8257-8269, 2023.

15. Yuhong Xu, Zhiwen Yu*, Wenming Cao, C. L. Philip Chen, "A Novel Classifier Ensemble Method Based on Subspace Enhancement for High-Dimensional Data Classification", IEEE Transactions on Knowledge and Data Engineering, vol. 35, no. 1, pp. 16-30, 2023. 

16. Yuhong Xu, Zhiwen Yu*, C. L. Philip Chen, Zhulin Liu, “Adaptive Subspace Optimization Ensemble Method for High-Dimensional Imbalanced Data Classification”, IEEE Transactions on Neural Networks and Learning Systems, vol. 34, no. 5, pp. 2284-2297, 2023.  

17. Kaixiang Yang, Yuchen Liu, Zhiwen Yu∗, C. L. Philip Chen, “Extracting and Composing Robust Features with Broad Learning System”, IEEE Transactions on Knowledge and Data Engineering, vol. 35, no.4, pp. 3885-3896, 2023. 

18. Yifan Shi, Kaixiang Yang, Zhiwen Yu, C. L. Philip Chen, Huanqiang Zeng, “Adaptive Ensemble Clustering With Boosting BLS-Based Autoencoder”, IEEE Transactions on Knowledge and Data Engineering, vol.35, no.12, pp.12369-12383,2023. 

19. Kaixiang Yang, Yifan Shi, Zhiwen Yu, Qinmin Yang, Arun Kumar Sangaiah, Huanqiang Zeng, “Stacked One-Class Broad Learning System for Intrusion Detection in Industry 4.0”, IEEE Transactions on Industrial Informatics, vol. 19, no.1, pp. 251-260, 2023.

20. Liu Cheng, Wu Si, Jiang Dazhi, Yu Zhiwen, Wong Hau-San, "View-Aware Collaborative Learning for Survival Prediction and Subgroup Identification," IEEE Transactions on Biomedical Engineering, vol. 70, no.1, pp. 307-317, 2023. 

21. Zhiwen Yu, Zhongfan Zhang, Wenming Cao, C. L. Philip Chen, Cheng Liu, Hau-San Wong, “ GAN-Based Enhanced Deep Subspace Clustering Networks ”, IEEE Transactions on Knowledge and Data Engineering, vol.34, no. 7, 3267 - 3281, 2022. 

22. Kaixiang Yang, Zhiwen Yu*, C. L. Philip Chen, Wenming Cao, Jane J. You, Hau-San Wong, “Incremental Weighted Ensemble Broad Learning System For Imbalanced Data”, IEEE Transactions on Knowledge and Data Engineering, vol. 34, no. 12, pp. 5809-5824, 2022.

23. Zhiwen Yu, Fengxu Ye, Wenming Cao, Kaixiang Yang, C. L. Philip Chen, Lianglun Cheng, Jane You, Hau-San Wong, “Semi-Supervised Classification with Novel Graph Construction for High Dimensional Data”, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 1, pp. 75-88, 2022..

24. Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong, “Asymmetric Graph-Guided Multi-Task Survival Analysis with Self-Paced Learning”, IEEE Transactions on Neural Networks and Learning Systems, vol. 33, no. 2, pp. 654-666, 2022.

25. Zhiwen Yu, Daxing Wang, Xian-Bing Meng, C. L. Philip Chen, “Clustering Ensemble Based On Hybrid MultiView Clustering”, IEEE Transactions on Cybernetics, vol. 52, no. 7, pp. 6518-6530, 2022. 

26. Yuhong Xu, Zhiwen Yu*, Wenming Cao, C. L. Philip Chen, “Adaptive Dense Ensemble Model for Text Classification”, IEEE Transactions on Cybernetics, vol. 52, no. 8, pp. 7513-7526, 2022.

27. Zhiwen Yu, Kankan Lan, Zhulin Liu, Guoqiang Han, “Progressive Ensemble Kernel-Based Broad Learning System for Noisy Data Classification”, IEEE Transactions on Cybernetics, vol. 52, no. 9, pp. 9656-9669, 2022.

28. Jian Zhong, Xiangping Zeng, Wenming Cao, Si Wu, Cheng Liu, Zhiwen Yu, Hau-San Wong, “Semi-Supervised Multiple Choice Learning for Ensemble Classification”, IEEE Transactions on Cybernetics, vol. 52, no. 5, pp. 3658-3668, 2022. 

29. Yang Hu, Guihua Wen, Mingnan Luo, Dan Dai, Wenming Cao, Zhiwen Yu, Wendy Hall, “Inner-Imaging Networks: Put Lenses Into Convolutional Structure”,  IEEE Transactions on Cybernetics, Vol. 52, no. 8, pp. 8547-8560, 2022.

30. Zhiwen Yu, Kaixiang Yang, Philip Chen, Wenming Cao, Hau-San Wong, Jane You, Guoqiang Han,“Progressive hybrid classifier ensemble for imbalanced data”,， IEEE Transactions on Systems, Man, and Cybernetics: Systems，vol. 52, no.4, pp. 2464-2478, 2022.

31. Cheng Liu, Wenming CAO, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu,  Hau-San Wong, “Supervised graph clustering for cancer subtyping based on survival analysis and integration of multi-omic tumor data”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.19, no.2, pp. 1193-1202, 2022.

32. Yuhong Xu, Zhiwen Yu*, Wenming Cao, C. L. Philip Chen, Jane You, "Adaptive Classifier Ensemble Method Based on Spatial Perception for High-Dimensional Data Classification", IEEE Transactions on Knowledge and Data Engineering, vol. 33, no. 7, pp. 2847-2862, 2021.

33. Yifan Shi, Zhiwen Yu*, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Guoqiang Han, “Fast and Effective Active Clustering Ensemble Based on Density Peak”, IEEE Transactions on Neural Networks and Learning Systems, vol. 32, no. 8, pp. 3593-3607, 2021.

34. Yang Hu, Guihua Wen, Huiqiang Liao, Changjun Wang, Dan Dai, Zhiwen Yu, “Automatic construction of Chinese herbal prescription from tongue image via CNNs and auxiliary latent therapy topics”, IEEE Transactions on Cybernetics, vol.51, no. 2, pp. 708-721, 2021.

35. Dan Dai, Juan Tang, Zhiwen Yu*, Hau-San~Wong, Jane You, Wenming Cao, Yang Hu, C. L. Philip Chen,“An Inception Convolutional AutoEncoder Model for Chinese Healthcare Question Clustering”,，IEEE Transactions on Cybernetics, vol. 51, no. 4, pp. 2019-2031, 2021. 

36. Jun Wang, Xing Wang, Guoxian Yu, Carlotta Domeniconi, Zhiwen Yu, Zili Zhang, "Discovering Multiple Co-Clusterings with Matrix Factorization", IEEE Transactions on Cybernetics, vol. 51, no. 7, pp. 3576-3587, 2021. 

37. Qianli Ma, Enhuan Chen, Zhenxi Lin, Jiangyue Yan, Zhiwen Yu, Wing W. Y. Ng, “Convolutional Multitimescale Echo State Network”,，IEEE Transactions on Cybernetics, vol. 51, no. 3, pp. 1613-1625, 2021.

38. Yewang Chen, Lida Zhou, Songwen Pei, Zhiwen Yu, Yi chen, Xin Liu, Jixiang Du and Naixue Xiong,“KNN-BLOCK DBSCAN: Fast Clustering For Large Scale Data”， IEEE Transactions on Systems, Man, and Cybernetics: Systems,， vol. 51, no. 6, pp. 3939-3953, 2021.

39. Kaixiang Yang, Zhiwen Yu*, Xin Wen, Wenming Cao, C. L. Philip Chen, Hau-San Wong, Jane You, “Hybrid Classifier Ensemble for Imbalanced Data”, IEEE Transactions on Neural Networks and Learning Systems, vol. 31, no. 4, pp. 1387-1400,  2020. 

40. Cheng Liu, Chu Tao Zheng, Si Wu, Zhiwen Yu and Hau-San Wong, “Multitask Feature Selection by Graph-Clustered Feature Sharing”, IEEE Transactions on Cybernetics, vol.50, no.1, pp. 74-86, 2020.

41. Yifan Shi, Zhiwen Yu*, C. L. Philip Chen, Jane You, Hau-San Wong, Yide Wang,，“Transfer clustering ensemble selection”，IEEE Transactions on Cybernetics, vol. 50, no. 6, pp. 2872-2885, 2020. 

42. Qianli Ma, Sen Li, Lifeng Shen, Jiabing Wang, Jia Wei, Zhiwen Yu, Garrison W. Cottrell, “End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables”, IEEE Transactions on Cybernetics, vol.50, no.12, pp. 4908-4920, 2020.

43. Jichang Li, Si Wu, Cheng Liu, Zhiwen Yu, and Hau-San Wong , “Semi-Supervised Deep Coupled Ensemble Learning with Classification Landmark Exploration”,，IEEE Transactions on Image Processing, vol. 29, no. 1, pp. 538-550, 2020.

44. Si Wu,，Wenhao Wu，Shiyao Lei,，Sihao Lin,，Rui Li，Zhiwen Yu,，Hau-San Wong,，“Semi-Supervised Human Detection via Region Proposal Networks Aided by Verification”，IEEE Transactions on Image Processing, vol. 29, pp. 1562 - 1574, 2020.

45. Wenming Cao, Si Wu, Zhiwen Yu, Hau-San Wong, "Exploring Correlations Among Tasks, Clusters, and Features for Multitask Clustering," IEEE Transactions on Neural Networks and Learning Systems, vol. 30, no.2, pp. 355-368, 2019.

46. Zhiwen Yu, Yidong Zhang, Jane You, C. L. Philip Chen, Hau-San Wong, Guoqiang Han, "Adaptive Semi-Supervised Classifier Ensemble for High Dimensional Data Classification", IEEE Transactions on Cybernetics, vol. 49, no. 2, pp. 366-379, Feb. 2019. 

47. Zhiwen Yu, Daxing Wang, Zhuoxiong Zhao, C. L. Philip Chen, Jane You, Hau-San Wong, "Hybrid incremental ensemble learning for noisy real-world data classification", IEEE Transactions on Cybernetics, vol. 49, no. 2, pp. 403-416, Feb. 2019. 

48. Zhiwen Yu,  Yidong Zhang, C. L. Philip Chen, Jane You, Hau-San Wong, Dan Dai, Si Wu, “Multiobjective semisupervised classifier ensemble”, IEEE Transactions on Cybernetics, vol. 49, no. 6, pp. 2280-2293, June 2019.

49. Yong Du, Guoqiang Han, Yuhui Quan, Zhiwen Yu, Hau-San Wong, C. L. Philip Chen, Jun Zhang, "Exploiting Global Low-rank Structure and Local Sparsity Nature for Tensor Completion",  IEEE Transactions on Cybernetics, vol.49, no.11, pp. 3898-3910, 2019. 

50. Zhiwen Yu, Peinan Luo, Jiming Liu Hau-San Wong, Jane You, Guoqiang Han Jun Zhang, “Semi-supervised ensemble clustering based on selected constraint projection”, IEEE Transactions on Knowledge and Data Engineering, vol. 30, no. 12, pp. 2394-2407, 1 Dec. 2018.

51. Zhiwen Yu, Ye Lu, Jun Zhang,Jane You,Hau-San Wong, Yide Wang, Guoqiang Han, "Progressive Semisupervised Learning of Multiple Classifiers", IEEE Transactions on Cybernetics, vol. 48, no. 2, pp. 689-702. 2018. 

52. Zhiqiang Wang, Zhiwen Yu*, C. L. Philip Chen, Jane You, Tianlong Gu, Hau-San Wong, Jun Zhang, “Clustering by Local Gravitation”,  IEEE Transactions on Cybernetics, vol. 48, no. 5, pp. 1383-1396, 2018. 

53. Si Wu, Qiujia Ji, Shufeng Wang, Hau-San Wong, Zhiwen Yu, Yong Xu, "Semi-Supervised Image Classification with Self-Paced Cross-Task Networks", IEEE Transactions on Multimedia, vol. 20, no. 4, pp. 851-865, 2018.

54. Zhiwen Yu, Zongqiang Kuang, Jiming Liu, Hongsheng Chen, Jun Zhang, Jane You, Hau-San Wong, Guoqiang Han, “Adaptive ensembling of semi-supervised clustering solutions”, IEEE Transactions on Knowledge and Data Engineering, vol. 29, no. 8, pp. 1577-1590, Aug. 1 2017. 

55. Zhiwen Yu, Zhiqiang Wang, Jane You, Jun Zhang, Jiming Liu, Hau-San Wong, and Guoqiang Han, "A New Kind of Nonparametric Test for Statistical Comparison of Multiple Classifiers Over Multiple Datasets", IEEE Transactions on Cybernetics, vol. 47, no. 12, pp. 4418-4431, Dec. 2017. 

56. Zhiwen Yu, Xianjun Zhu, Hau-San Wong, Jane You, Jun Zhang, Guoqiang Han, “Distribution based Cluster Structure Selection”,  IEEE Transactions on Cybernetics,  vol. 47, no. 11, pp. 3554-3567, Nov. 2017. 

57. Zhiwen Yu, Peinan Luo, Jane You, Hau-San Wong, Hareton Leung, Si Wu, Jun Zhang, Guoqiang Han,，"Incremental Semi-supervised Clustering Ensemble for High Dimensional Data Clustering", IEEE Transactions on Knowledge and Data Engineering, vol. 28, no. 3, pp. 701-714, 2016. 

58. Zhiwen Yu, Hantao Chen, Jane You, Hareton Leung, Jiming Liu, Guoqiang Han, “Hybrid K Nearest Neighbor Classifier”,  IEEE Transactions on Cybernetics, vol. 46, no. 6, pp. 1263-1275, 2016.

59. Zhiwen Yu, Le Li,  Jiming Liu, Jun Zhang, Guoqiang Han, "Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation", IEEE Transactions on  Knowledge and Data Engineering, vol. 27, no. 12, pp. 3176-3189, 2015. 

60. Zhiwen Yu, Le Li, Jiming Liu, Guoqiang Han, "Hybrid Adaptive Classifier Ensemble", IEEE Transactions on Cybernetics, vol. 42, no. 2, pp. 177-190. 2015. 

61. Zhiwen Yu, Hantao Chen, Jane You, Hau-San Wong, Jiming Liu, Guoqiang Han, Le Li, "Adaptive Fuzzy Consensus Clustering Framework for  Clustering Analysis of Cancer Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 12, no. 3, pp. 568-582, 2015.

62. Zhiwen Yu, Hongsheng Chen, Jane You, Hau-San Wong, Jiming Liu, Le Li, Guoqiang Han, "Double Selection based Semi-Supervised Clustering Ensemble for Tumor Clustering from Gene Expression Profiles", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 11, no. 4, pp. 727-740, 2014 . 

63. Si Wu, Hau-San Wong, and Zhiwen Yu, "A Bayesian Model for Crowd Escape Behavior Detection", IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 1, pp. 85-98, 2014.

64. Guoxian Yu, Huzefa Rangwala, Carlotta Domeniconi, Guoji Zhang, Zhiwen Yu, “Protein Function Prediction with Incomplete Annotations”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 11, no. 3, pp. 579-591, 2014. 

65. Guoxian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu, “Protein Function Prediction using Multilabel Ensemble Classification”, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 4, pp. 1045-1057, 2013.

66. Zhiwen Yu, Hantao Chen, Jane You, Guoqiang Han, Le Li, "Hybrid Fuzzy Cluster Ensemble Framework for Tumor Clustering from Bio-molecular Data", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 10, no. 3, pp. 657-670, 2013.  

67. Zhiwen Yu, Le Li, Jane You, Guoqiang Han, "SC3: Triple spectral clustering based consensus clustering framework for class discovery from cancer gene Expression profiles", IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.9, no.6, pp.1751-1765, 2012. 

68. Zhiwen Yu, Jane You, Le Li, Hau-San Wong, Guoqiang Han, "Representative distance: a new similarity measure for Class Discovery from Gene Expression Data", IEEE Transactions on NanoBioScience , vol.11, no.4, pp.341-351, 2012. 

69. Zhiwen Yu, Hau-San Wong, Dingwen Wang, Ming Wei, “Neighborhood Knowledge-based Evolutionary Algorithm for Multiobjective Optimization Problems”, IEEE Transactions on Evolutionary Computation, Vol.15, no.6, pp. 812-831, 2011.

70. Zhiwen Yu, Hau-San Wong, Jane You, Qinmin Yang, Hongying Liao, “Knowledge based Cluster Ensemble for Cancer Discovery from Biomolecular Data”, IEEE Transactions on NanoBioScience, vol.10, no.2, pp.76-85, 2011.

71. Zhiwen Yu, Zhongkai Deng, Hau-San Wong, and Lirong Tan. “Identifying Protein Kinase-specific Phosphorylation Sites Based on the Bagging-Adaboost Ensemble Approach.” IEEE Transactions on NanoBioScience, Vol.9, no.2, pp.132-143, 2010. 

72. Shaohong Zhang, Hau-San Wong, Zhiwen Yu, and Horace H.S. Ip. “Hybrid Associative Retrieval of Three-Dimensional Models”. IEEE Transactions on Systems, Man and Cybernetics -Part B: Cybernetics. Vol.40, no.6, pp.1582-1595, 2010. 

73. Zhiwen Yu, Hau-San Wong. “Class Discovery from Gene Expression Data based on Perturbation and Cluster Ensemble”. IEEE Transactions on NanoBioScience, Vol.8, no.2, pp.147-160, 2009. 

74. Zhiwen Yu, and Hau-San Wong. “A rule based technique for extraction of visual attention regions based on real-time clustering”. IEEE Transactions on Multimedia. vol.9, no. 4, pp. 766-784, June, 2007.

75. Hau-San Wong, Bo Ma, Zhiwen Yu, Pui Fong Yeung, and Horace H.S. Ip. “3D Head Model Retrieval Using a Single Face View Query”. IEEE Transactions on Multimedia. vol. 9, no. 5, pp. 1026-1036, 2007. 

Publication: Other journal papers

76. Wuxing Chen, Kaixiang Yang, Zhiwen Yu, Yifan Shi, C. L. Philip Chen, A survey on imbalanced learning: latest research, applications and future directions. Artif. Intell. Rev. 57(6): 137 (2024)

77. Yuanxin Lin, Zhiwen Yu, Kaixiang Yang, Ziwei Fan, C. L. Philip Chen, Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning. IEEE CAA J. Autom. Sinica 11(11): 2204-2219 (2024)

78. Dacheng Zheng, Zhiwen Yu, Wuxing Chen, Weiwen Zhang, Qiying Feng, Yifan Shi, Kaixiang Yang, Multiview ensemble clustering of hypergraph p-Laplacian regularization with weighting and denoising. Inf. Sci. 681: 121187 (2024)

79. Guoliang He, Dawei Jin, Wenjun Jiang, Zongkun Zhao, Lifang Dai, Zhiwen Yu, C. L. Philip Chen, Efficient semi-supervised clustering with pairwise constraint propagation for multivariate time series. Inf. Sci. 681: 121233 (2024)

80. Ganghan Zhang, Guoheng Huang, Haiyuan Chen, Chi-Man Pun, Zhiwen Yu, Wing-Kuen Ling, Video action recognition with Key-detail Motion Capturing based on motion spectrum analysis and multiscale feature fusion. Vis. Comput. 39(2): 539-556 (2023)

81. Ziyang Chen, Guoheng Huang, Ying Wang, Junhao Qiu, Fan Yang, Zhiwen Yu, Chi-Man Pun, Wing-Kuen Ling, Bi-deformation-UNet: recombination of differential channels for printed surface defect detection. Vis. Comput. 39(9): 3995-4013 (2023)

82. Haiyuan Chen, Lianglun Cheng, Guoheng Huang, Ganghan Zhang, Jiaying Lan, Zhiwen Yu, Chi-Man Pun, Wing-Kuen Ling, Fine-grained visual classification with multi-scale features based on self-supervised attention filtering mechanism. Appl. Intell. 52(13): 15673-15689 (2022). 

83. Guanyue Li, Xiwen Wei, Si Wu, Zhiwen Yu, Sheng Qian, Hau-San Wong, Adversarial Adaptive Interpolation in Autoencoders for Dually Regularizing Representation Learning. IEEE Multim. 29(3): 57-68 (2022)

84. Wuxing Chen, Kaixiang Yang, Zhiwen Yu, Weiwen Zhang, Double-kernel based class-specific broad learning system for multiclass imbalance learning. Knowl. Based Syst. 253: 109535 (2022)

85. Zeng Lu, Ganghan Zhang, Guoheng Huang, Zhiwen Yu, Chi-Man Pun, Weiwen Zhang, Junan Chen, Wing-Kuen Ling, Video person re-identification using key frame screening with index and feature reorganization based on inter-frame relation. Int. J. Mach. Learn. Cybern. 13(9): 2745-2761 (2022)

86. Wuxing Chen, Kaixiang Yang, Weiwen Zhang, Yifan Shi, Zhiwen Yu, Double-kernelized weighted broad learning system for imbalanced data. Neural Comput. Appl. 34(22): 19923-19936 (2022)

87. Wenming Cao, Zhongfan Zhang, Cheng Liu, Rui Li, Qianfen Jiao, Zhiwen Yu, Hau-San Wong, “Unsupervised discriminative feature learning via finding a clustering-friendly embedding space”, Pattern Recognition, vol. 129,  108768,  2022.

88. Yang Hu, Guihua Wen, Mingnan Luo, Pei Yang, Dan Dai, Zhiwen Yu, Changjun Wang, Wendy Hall, “Fully-channel regional attention network for disease-location recognition with tongue images”, Artificial Intelligence In Medicine, vol.118, 102110,  2021.

89. Shixin Huang, Xiangping Zeng, Si Wu, Zhiwen Yu, Mohamed Azzam, Hau-San Wong, “Behavior regularized prototypical networks for semi-supervised few-shot image classification”, Pattern Recognition, vol.112, pp.107765, 2021.

90. Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong, “Joint subspace and discriminative learning for self-paced domain adaptation”, Knowledge-Based Systems, vol 205, pp. 106285, 2020.

91. Bingchao Zhao, Xin Chen, Zhi Li, Zhiwen Yu, Su Yao, Lixu Yan, Yuqian Wang, Zaiyi Liu, Changhong Liang, Chu Han, “Triple U-net: Hematoxylin-aware nuclei segmentation with progressive dense feature aggregation”, Medical Image Analysis, vol 65, 2020.

92. Xibin Dong, Zhiwen Yu*, Wenming Cao, Yifan Shi, Qianli Ma, “A survey on ensemble learning”, Frontiers of Computer Sciences, vol.14, no. 2, pp. 241-258, 2020. 

93. Rui Luo, Zhiwen Yu*, Wenming Cao, Cheng Liu, Hau-San Wong, and C. L. Philip Chen, “Adaptive Regualized Semi-supervised Clustering Ensemble”, IEEE Access, vol. 8, pp. 17926-17934, 2020. 

94. Xuexian Chen, Si Wu, Zhiwen Yu, “Self-Enhanced R-CNNs for Human Detection with Semi-Supervised Assumptions”, IEEE Access, vol.8, pp. 15132- 15143, 2020. 

95. Weihong Chen, Yuhong Xu, Zhiwen Yu, Wenming Cao, C. L. Philip Chen, Guoqiang Han, “Hybrid Dimensionality Reduction Forest With Pruning for High-Dimensional Data Classification”, IEEE Access, vol.8, pp. 40138-40150, 2020.

96. Farrikh Alzami, Juan Tang, Zhiwen Yu, Si Wu, C. L. Philip Chen, Jane You, Jun Zhang, “Adaptive Hybrid Feature Selection-Based Classifier Ensemble for Epileptic Seizure Classification”, IEEE Access, vol. 6, pp. 29132-29145, 2018.

97. Chaoqun Hong, Jun Yu, You Jane, Zhiwen Yu, Xuhui Chen, “Three-Dimensional Image-Based Human Pose Recovery with Hypergraph Regularized Autoencoders”, Multimedia Tools and Applications, vol.76 no.8, p.10919-10937, April 2017.

98. Jing-Jing Li, Farrikh Alzami, Yue-Jiao Gong, Zhiwen Yu, “A Multi-Label Learning Method Using Affinity Propagation and Support Vector Machine”, IEEE Access vol. 5, pp. 2955-2966, 2017.

99. Meng Sun, Cédric Le Bastard, Nicolas Pinel, Yide Wang, Jianzhong Li, Jingjing Pan, Zhiwen Yu, “Estimation of time delay and interface roughness by GPR using modified MUSIC”, Signal Processing, vol. 132, pp. 272-283, 2017.

100. Jianzhong Li, Yide Wang, Cédric Le Bastard, Gang Wei, Biyun Ma, Meng Sun, Zhiwen Yu, “Simplified high-order DOA and range estimation with linear antenna array”, IEEE Communications Letters, vol. 21, issue 1, pp. 76-79, 2017.

101. Dingwen Wang, Shilei Sun, Xi Chen, Zhiwen Yu, "3D shape descriptor based on spherical harmonics by evolutionary optimization", Neurocomputing, vol.194, pp.183-191, 2016.

102. Zhiwen Yu, Daxing Wang, Jane You, Hau-San Wong, Si Wu, Jun Zhang, Guoqiang Han, "Progressive Subspace Ensemble Learning", Pattern Recognition, vol. 60, pp. 692-705, 2016. 

103. Zhiwen Yu, Jiming Liu, Xiaowei Wang, Xianjun Zhu, Daxing Wang, Guoqiang Han, "Efficient Vaccine Distribution Based on a Hybrid Compartmental Model", plos one, 11(5):e0155416, 2016. 

104. Qianli Ma, Lifeng Shen, Weibiao Chen, Jiabin Wang, Jia Wei, Zhiwen Yu, “Functional echo state network for time series classification”,  Information Sciences, vol. 373, pp. 1-20, 2016.

105. Zhiwen Yu, Jiming Liu, Xianjun Zhu, "Inferring a District-based Hierarchical Structure of Social Contacts from Census Data", plos one, 10 (2), e0118085, 2015. doi: 10.1371/journal.pone.0118085. 

106. Guoxian Yu, Guoji Zhang, Zili Zhang, Zhiwen Yu, Lin Deng, "Semi-Supervised Classification based on Subspace Sparse Representation", Knowledge and Information Systems, vol. 43, no. 1, pp. 81-101 2015.

107. Jianming Lv, Zhiwen Yu, Tieying Zhang, "Towards An Immunity Based Distributed Algorithm to Detect Harmful Files Shared in P2P Networks", Peer-to-Peer Networking and Applications, vol. 8, no. 1, pp. 49-62, 2015. 

108. Delei Liu, Yong Xu, Yuhui Quan, Zhiwen Yu, Patrick Le Callet, "Reduced reference image quality assessment using regularity of radon representation", Signal Processing, vol. 110, pp. 211-221, 2015.  

109. Zhiwen Yu, Le Li, Yunjun Gao, Jane You, Jiming Liu, Hau-San Wong, Guoqiang Han, "Hybrid Clustering Solution Selection Strategy", Pattern Recognition, vol. 47, no. 10, pp. 3362-3375, 2014. 

110. Zhiwen Yu, Le Li, Hau-San Wong, Jane You, Guoqiang Han, Yunjun Gao, Guoxian Yu, "Probabilistic Cluster Structure Ensemble", Information Sciences, vol. 267, 16-34, 2014. 

111. Xian-Fa Cai, Jia Wei, Guihua Wen, Zhiwen Yu, "Local and Global Preserving Semisupervised Dimensionality Reduction Based on Random Subspace for Cancer Classification", IEEE Journal of Biomedical and Health Informatics, vol. 18, no. 2, pp. 500-507, 2014.

112. Xianfa Cai, Guihua Wen, Jia Wei, Jie Li, Zhiwen Yu, "Perceptual relativity-based semi-supervised dimensionality reduction algorithm", Applied Soft Computing, vol.16, pp.112–123, 2014.

113. Qianli Ma, Weibiao Chen, Jia Wei, Zhiwen Yu, "Direct Model of Memory Properties and the Linear Reservoir Topologies in Echo State Networks", Applied Soft Computing, vol. 22, pp. 622-628, 2014. 2014.

114. Xian-Fa Cai, Guihua Wen, Jia Wei, Zhiwen Yu, "Relative manifold based semi-supervised dimensionality reduction", Frontiers of Computer Science, vol. 8, no. 6, pp. 923-932, 2014.

115. X. Liu, S. Tang, Qiong Huang, Zhiwen Yu, "An ontology-based approach to automated trust negotiation", Computer Standards & Interfaces, vol.36, no.1, pp. 219-230, 2013. 

116. Haisheng Li, Guihua Wen, Zhiwen Yu, Tiangang Zhou, "Random subspace evidence classifier", Neurocomputing 110, pp. 62-69, 2013.

117. Zhiwen Yu, Hau-San Wong, Jane You, Guoxian Yu, Guoqiang Han, “Hybrid Cluster Ensemble Framework based on the Random Combination of Data Transformation Operators”, Pattern Recognition, vol. 45, issue 5, pp.1826-1837, 2012. 

118. Zhiwen Yu, Jane You, Hau-San Wong, Guoqiang Han, "From Cluster Ensemble to Structure Ensemble", Information Science, vol.168, pp. 81-99, 2012. 

119. Zhiwen Yu, Hau-San Wong, Jane You, Guoqiang Han, “Visual query processing for efficient image retrieval using a SOM-based filter-refinement scheme”, Information Science, vol.203, pp.83-101, 2012.

120. Guoxian Yu, Guoji Zhang, Carlotta Domeniconi, Zhiwen Yu, Jane You, “Semi-Supervised Classification based on Random Subspace Dimensionality Reduction”, Pattern Recognition, vol. 45, issue. 3, pp. 1119-1135, 2012.

121. Guoxian Yu, Guoji Zhang, Zhiwen Yu, Carlotta Domeniconid, Jane You, Guoqiang Han, "Semi-Supervised Ensemble Classification in Subspaces", Applied Soft Computing, vol. 9, no. 5, pp. 1026-1036, 2012.

122. Guihua Wen, Jun Wen, Jia Wei, Lijun Jiang, Zhiwen Yu, “Perceptual Relativity-based Local Hyperplane”, Neurocomputing, vol. 97, pp.155-163, 2012. 

123. Zhiwen Yu, Hau-San Wong, Guihua Wen, “A Modified Support Vector Machine and Its Application to Image Segmentation”, Image and Vision Computing, vol.29, issue 1, pp.29-40, 2011. 

124. Ying Shen, Hau-San Wong, Shaohong Zhang, Zhiwen Yu, “Feature-based 3D Motif Filtering for Ribosomal RNA”, Bioinformatics, vol.27, issue.20, pp. 2828-2835, 2011.

125. Zhiwen Yu, Hau-San Wong, Hong Peng, Qianli Ma, “ASM: An Adaptive Simplification Method for 3D Point-based Models”, Computer Aided Design, vol. 42, issue 7, pp. 598-612, 2010. 

126. Zhiwen Yu, and Hau-San Wong. “Quantization-based Clustering Algorithm”. Pattern Recognition. Vol.43, Issue 8, pp.2698-2711, 2010. 

127. Zhiwen Yu, Hau-San Wong and Hongqiang Wang, “Graph-based consensus clustering for class discovery from gene Expression data”, Bioinformatics, 23, pp. 2888-2896, 2007. 

Publication: Selected Conference papers

1. Sihang Liu, Wenming Cao, Ruigang Fu, Kaixiang Yang, Zhiwen Yu, RPSC: Robust Pseudo-Labeling for Semantic Clustering. AAAI 2024: 14008-14016

2. Zhijie Zhong, Zhiwen Yu, Jiahui Chen, Kaixiang Yang, Insightful Simplicity: Dissimilarity in Time Series Anomaly Detection. ACM TUR-C 2024.

3. Lianxin Xie, Wen Xue, Zhen Xu, Si Wu, Zhiwen Yu, Hau-San Wong, “Blemish-aware and Progressive Face Retouching with Limited Paired Data”, CVPR 2023, pp. 5599-5608.

4. Xiwen Wei, Zhen Xu, Cheng Liu, Si Wu, Zhiwen Yu, Hau-San Wong, “Text-Guided Unsupervised Latent Transformation for Multi-Attribute Image Manipulation”, CVPR 2023, pp. 19285-19294.

5. Kaixiang Yang, Yifan Shi, Zhiwen Yu, Zhijie Zhong, Jichao Bi, Mengzhi Wang, Hybrid Clustering Solutions Fusion based on Gated Three-way Decision. IJCNN 2023: 1-10

6. Xiaoyang Huo, Guangchang Deng, Si Wu, Zhiwen Yu, Peng Li, Semi-Supervised Generative Learning with Extended Distribution Matching for Class-Conditional Image Synthesis. ICME 2022: 1-6

7. Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong,，“Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis”， CVPR 2021,，pp. 5506-5515.

8. Y. Liu, G. Deng, X. Zeng, S. Wu, Z. Yu and H. Wong, "Regularizing Discriminative Capability of CGANs for Semi-Supervised Generative Learning", in CVPR 2020, pp. 5720-5729.  

9. Si Wu, Jian Zhong, Wenming Cao, Rui Li, Zhiwen Yu, and Hau-San Wong, “Improving domain-specific classification by collaborative learning with adaptation networks,” in AAAI 2019, pp. 5450-5457. 

10. Si Wu, Jichang Li, Cheng Liu, Zhiwen Yu, and Hau-San Wong, “Mutual learning of complementary networks via residual correction for improving semi-supervised classification,” in CVPR 2019, pp. 6500-6509.

11. Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, and Hau-San Wong, “Enhancing TripleGAN for semi-supervised conditional instance synthesis and classification,” in CVPR 2019, pp. 10091-10100.

12. Xing Wang, Guoxian Yu, Carlotta Domeniconi, Jun Wang, Zhiwen Yu, Zili Zhang, “Multiple Co-clusterings”, pp. 1308-1313, ICDM 2018. 

13. Yingying Qu, Zhiwen Yu, Hao Cong, Tianyong Hao, “Pedagogical Principle Based E-learning Exploration: A Case of Construction Mediation Training”, 2017 International Symposium on Emerging Technologies for Education (SETE2017), pp. 539-547, 2017. (Best paper award)

14. Le Li, Zhiwen Yu,  Jiming Liu, Jane You, Hau-San Wong,  Guoqiang Han, "Multi-view Based AdaBoost Classifier Ensemble For Class Prediction from Gene Expression Profiles", IEEE International Conference on Pattern Recognition 2014 (ICPR2014), pp. 178-183, 2014. (Oral presentation)

15. Guoxian Yu, Carlotta Domeniconi, Huzefa Rangwala, Guoji Zhang, Zhiwen Yu, "Transductive Multi-label Ensemble Classification on Multiple Kernels for Protein Function Prediction", the 18th International ACM Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 1077-1085, 2012.

16. Guo-xian Yu, Zhiwen Yu*, Jing Hua, Xuan Li, Jane You, "Sparse representation based spectral regression", 2011 The International Conference on Machine Learning and Cybernetics (ICMLC 2011), pp.532-537, 2011. (Best paper award)

主持的省部級(jí)科研項(xiàng)目 （主持或參與項(xiàng)目30多項(xiàng),，其中省部級(jí)項(xiàng)目14項(xiàng)） 

1. 國(guó)家自然科學(xué)基金重點(diǎn)項(xiàng)目（人工智能應(yīng)急專項(xiàng)），61751205,，多源異構(gòu)數(shù)據(jù)的決策特征提取與知識(shí)發(fā)現(xiàn),，2018/01-2020/12，結(jié)題,，主持

2. 國(guó)家優(yōu)秀青年科學(xué)基金,，61722205，集成學(xué)習(xí)理論及其應(yīng)用,，2018/01-2020/12,，結(jié)題,，主持

3. 國(guó)家自然科學(xué)基金面上項(xiàng)目，61572199,，基于衍生距離數(shù)學(xué)模型的半監(jiān)督聚類集成研究,，2016/1-2019/12，結(jié)題,，主持

4. 國(guó)家自然科學(xué)基金青年基金項(xiàng)目,，61003174，基于聚類集成算法的癌癥基因表達(dá)數(shù)據(jù)模式發(fā)現(xiàn)新框架的研究,， 2011/01-2013/12,，結(jié)題，主持

5. 廣東省重點(diǎn)研發(fā)計(jì)劃,，2018B010107002,，面向智能制造多模態(tài)數(shù)據(jù)的認(rèn)知理論研究，2019/1-2021/12,，結(jié)題,，主持

6. 廣東省科技計(jì)劃（粵港合作項(xiàng)目）,，2016A050503015,，媒體大數(shù)據(jù)的復(fù)雜事件挖掘研究，2016/5-2018/5,，結(jié)題,，主持

7. 廣東省科技計(jì)劃（國(guó)際合作項(xiàng)目），2015A050502011,，集成學(xué)習(xí)算法在多元城市數(shù)據(jù)融合和挖掘的應(yīng)用研究,，2016/1-2017/12，結(jié)題,，主持

8. 廣東省自然科學(xué)基金杰出青年基金項(xiàng)目,，S2013050014677，模式發(fā)現(xiàn)及其應(yīng)用,，2013/10-2016/09,  結(jié)題,，主持

9. 中國(guó)博士后科學(xué)基金項(xiàng)目，2013M540655,， 模式發(fā)現(xiàn)關(guān)鍵技術(shù)及其在癌癥發(fā)現(xiàn)上的應(yīng)用,，2013/01-2014/12,  結(jié)題，主持

10. 香港學(xué)者聯(lián)合會(huì)和中國(guó)博士后管委會(huì)的香江學(xué)者計(jì)劃,，XJ2012015,，健康信息技術(shù)的研究， 2013/02-2015-02,，結(jié)題,，主持

11. 教育部新世紀(jì)優(yōu)秀人才支持計(jì)劃,，NCET-11-0165，集成學(xué)習(xí)的關(guān)鍵技術(shù)研究及其應(yīng)用,， 2011/01-2013/12,，結(jié)題， 主持

12. 教育部博士點(diǎn)科研基金（新教師類）,，20100172120031,，癌癥基因表達(dá)數(shù)據(jù)模式發(fā)現(xiàn)新框架， 2011/01-2012/12,，結(jié)題,，主持

13. 廣東省自然科學(xué)基金面上項(xiàng)目，S2011010000264,，基于集成學(xué)習(xí)的糖尿病視網(wǎng)膜病自動(dòng)識(shí)別算法研究,，2011/10-2013/09，結(jié)題, 主持

14. 廣東省自然科學(xué)基金博士啟動(dòng)項(xiàng)目,，10451064101004233,，癌癥基因表達(dá)數(shù)據(jù)模式發(fā)現(xiàn)新框架研究，2010/10-2012/09,，結(jié)題,，主持

參與的國(guó)家項(xiàng)目：

15. 國(guó)家自然科學(xué)基金委員會(huì)-廣東省人民政府大數(shù)據(jù)科學(xué)研究中心項(xiàng)目， U1611461,，視頻大數(shù)據(jù)高效表達(dá),、深度分析與綜合利用，2017/1-2020/12,，結(jié)題,，參與（合作單位負(fù)責(zé)人）

16.  國(guó)家自然科學(xué)基金委員會(huì)，NSFC廣東聯(lián)合基金項(xiàng)目,，U21A20478,，基于群智感知的分布式智能制造決策優(yōu)化理論與方法，2022/01-2025/12,，在研,，參與

 歡迎各位有志于從事學(xué)術(shù)研究的同學(xué)報(bào)考我的博士或者碩士 （[email protected]）