刘昆宏，博士，教授，博士生导师，我院电影学院数字媒体技术系主任。2008年7月在中国科技大学获模式识别与智能系统专业博士学位。2008年7月至今受聘于best365网页版登录。2014年9月至2015年9月于香港理工大学计算机系任职博士后研究员。至今发表SCI、EI检索第一作者、通讯作者国际期刊、会议论文超过100篇，主持与参与的国家级项目7项，省部级与横向项目30余项。与境内外多个研究院及知名企业建立长期合作关系。指导的团队在包括互联网+等多个国家级、省部级竞赛获得奖项。担任UAI等多个国际会议技术委员会委员，以及多个国际SCI期刊Guest Editor。
主要研究方向：机器学习；深度合成技术；生物信息；
教育背景
中国科学技术大学自动化系 2008.7，获工学博士学位
福建师范大学物理与光电子信息技术学院2004.7 获理学硕士学位
福建师范大学物理与光电子信息技术学院 1999.7 获理学学士学位
社会兼职：
代表性论著：
1. Mengxin Sun, Liyan Chen, KunHong Liu*, Sze-Teng Liong, Qingqiang Wu, Feature Elimination Through Data Complexity for Error-Correcting Output Codes Based Micro-Expression Recognition, Signal Processing: Image Communication, 2023.
2. JiaXin Ye,Xin-Cheng Wen,Yujie Wei,Yong Xu, KunHong Liu*, Hongming Shan*, Temporal Modeling Matters: A Novel Temporal Emotional Modeling Approach for Speech Emotion Recognition, IEEE International Conference on Acoustics, Speech and Signal Processing, 2023.
3. Kun-Hong Liu*, Qianhui Yang, Yu Xie*, Xiangyi Huang, Towards Open-Set Material Recognition using Robot Tactile Sensing, ICRA 2023.
4. Qianhui Yang, Kun-Hong Liu*, Yu Xie*, Xiangyi Huang, Drop to Transfer: Learning Transferable Features for Robot Tactile Material Recognition in Open Scene, IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, Vol. 72, 2506311, 2023.
5. Lianlian Wu, Jie Gao, Yixin Zhang, Binsheng Sui, Yuqi Wen, Qingqiang Wu, Kunhong Liu*, Song He*, and Xiaochen Bo*, A hybrid deep forest-based method for synergistic drug combination prediction, Cell Reports Methods, 2023.
6. K.-H. Liu, J. Gao, Y. Xu, K.-J. Feng, X.-N. Ye, S.-T. Liong, et al., A novel soft-coded error-correcting output codes algorithm, Pattern Recognition, Vol. 134 Pages 109122, 2023.
7. Yuting Zhong, Bowei Yan, Kunhong Liu*, Yong Xu, Song He*, and Xiaochen Bo*, A Multi-View Learning-Based Rule Extraction Algorithm For Accurate Hepatotoxicity Prediction, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2022.
8. Xu F, Lin LL, Li Z, Hong QQ*, Liu KH*, Wu QQ, Li Q, Zheng Y, Tian J. MRDFF: A deep forest based framework for CT whole heart segmentation. Methods. 2022 Oct 22;208:48-58. doi: 10.1016/j.ymeth.2022.10.005.
9. J.-X. Ye, X.-C. Wen, X.-Z. Wang, Y. Xu, Y. Luo, C.-L. Wu, L.Y. Chen* and K.H. Liu*, GM-TCNet: Gated Multi-scale Temporal Convolutional Network using Emotion Causality for Speech Emotion Recognition, Speech Communication, v 145, 21–35, 2022.
10. Lin, Wei-Ping, Ge, Qi-Chao, Liong, Sze-Teng, Liu, Jia-Tong, Liu Kun-Hong*, Wu, Qing-Qiang, The design of error-correcting output codes based deep forest for the micro-expression recognition. Appl Intell (2022). https://doi.org/10.1007/s10489-022-03590-5
11. B. Yan, X. Ye, J. Wang, J. Han, L. Wu, S. He*, K.H. Liu*, X. Bo*, An Algorithm Framework for Drug-Induced Liver Injury Prediction Based on Genetic Algorithm and Ensemble Learning, Molecules, 27 (2022) 3112.
12. Xin-Cheng Wen#, JiaXin Ye#, Yan Luo, Yong Xu, Xuan-Ze WANG, Chang-Li Wu, Kun-Hong Liu*, CTL-MTNet: A Novel CapsNet and Transfer Learning-Based Mixed Task Net for the Single-Corpus and Cross-Corpus Speech Emotion Recognition, IJCAI 2022.
13. Bin Chen, Kun-Hong Liu*, Yong Xu, Qing-Qiang Wu, Jun-Feng Yao, Block Division Convolutional Network with Implicit Deep Features Augmentation for Micro-Expression Recognition, IEEE Transactions on Multimedia, doi: 10.1109/TMM.2022.3141616, 2022.
14. Mengxin Sun, Sze-Teng Liong, Kun-Hong Liu*, Qing-Qiang Wu*, The Heterogeneous Ensemble of Deep Forest and Deep Neural Networks for Micro-expressions Recognition, Applied Intelligence, 2022.
15. Kunhong Liu; Wangping Zhan, Yifan Liang; Hongzhou Guo; Yanan Zhang; Junfeng Yao; Qingqiang Wu*, The Design of Error Correcting Output Codes Algorithm for the Open Set Recognition, Vol. 52, pp. 7843–7869 , Applied Intelligence, 2022.
16. Guang-Yi Lin; Zi-Yang Xiao; Jia-Tong Liu; Bei-Zhan Wang; Kun-Hong Liu*; Qing-Qiang Wu*, Feature Space and Label Space Selection Based Error-Correcting Output Codes for Partial Label learning, Information Sciences, Volume 589, Pages 341-359, 2022.
17. Zhan WangPing, Jiang Min, Yao JunFeng, Liu KunHong* and Wu QingQiang*, The Design of Evolutionary Feature Selection Operator for the Micro-expression Recognition, Vol. 13, No. 4, Memetic Computing, 2022.
18. Weiping Lin#, Lianlian Wu#, Yixin Zhang#, Yuqi Wen#, Bowei Yan, Chong Dai, Kunhong Liu*, Song He* & Xiaochen Bo*, An enhanced cascade based deep forest model for drug combination prediction, Briefings in Bioinformatics, Vol. 23, No. 2, doi:10.1093/bib/bbab562, 2022.
19. Guangyi Lin, Kunhong Liu*, Beizhan Wang, Xiaoyan Zhang, Partial Label Learning based on Label Distributions and Error-Correcting Output Codes, Soft Computing, vol. 25, no. 2, pp. 1049-1064, 2021.
20. JiaTong Liu, ChangBin Pan, DongDong Chen, WeiPing Lin, ShangYuan Feng, SuFang Qiu, and Kun-Hong Liu*, FES-RF: A Feature Ensemble Selection Based Random Forest Method For Accurate Cancer Screening, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1008-1013, 2021.
21. Fei Xu, Lingli Lin, Dihan Li, Qingqi Hong*, Kunhong Liu*,Qingqiang Wu, Qingde Li, Yinhuan Zheng, Jie Tian, A Multi-Resolution Deep Forest Framework with Hybrid Feature Fusion for CT Whole Heart Segmentation, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 1119-1124, 2021.
22. Kun-Hong Liu, Xiao-Na Ye, Hong-Zhou Guo, Qing-Qiang Wu*, Qing-Qi Hong*, The Design of Soft Recoding-based Strategies for Improving Error-Correcting Output Codes, Applied Intelligence, 2021.
23. Jia-Yu Zou, Meng-Xin Sun, Kun-Hong Liu*, Qing-Qiang Wu*, The Design of Dynamic Ensemble Selection Strategy for the Error-Correcting Output Codes Family, Information Sciences, Volume 571, Pages 1-23, 2021.
24. Liang Yi-Fan, Liu Chang, Wang Han-Rui, Liu Kun-Hong*, Yao Jun-Feng, She Ying-Ying, Dai Gui-Ming, Yuna Okina, A Novel Error-Correcting Output Codes Based on Genetic Programming and Ternary Digit Operators, Pattern Recognition, vol. 110, p. 107642, 2021.
25. Jie Gao, Kunhong Liu*, Beizhan Wang*, Dong Wang, Qingqi Hong, An improved deep forest for alleviating the data imbalance problem, Soft Computing, Vol. 25, pp. 2085–2101, 2021.
26. Liyan Chen#, Haoran Yang# and Kunhong Liu*, Classroom Attention Estimation Method Based on Mining Facial Landmarks of Students, 28th International Conference on MultiMedia Modeling, 2021.
27. Kun-Hong Liu, Qiu-Shi Jin, Huang-Chao Xu, Yee-Siang Gan, Sze-Teng Liong*, Micro-expression recognition using advanced genetic algorithm, Signal Processing: Image Communication, vol. 93, pp. 116153, 2021.
28. Anfernee Joan B. Ng and Kun-Hong Liu*, The Investigation of Different Loss Functions with Capsule Networks for Speech Emotion Recognition, Scientific Programming, Volume 2021, Article ID 9916915, 2021.
29. Jie Gao, Kunhong Liu, Beizhan Wang*, Dong Wang, Xiaoyan Zhang, Improving deep forest by ensemble pruning based on feature vectorization and quantum walks, Soft Computing, Vol. 25, pp.2057–2068, 2020.
30. Sze-Teng Liong, Y.S. Gan*, Danna Zheng, Shu-Meng Li, Hao-Xuan Xu, Han-Zhe Zhang, Ran-Ke Lyu, and Kun-Hong Liu*, Evaluation of the Spatio-Temporal features and GAN for Micro-expression Recognition System, Journal of Signal Processing Systems, 2020.
31. Xincheng Wen, Kun-Hong Liu*, WeiMing Zhang and Kai Jiang, The Application of Capsule Neural Network Based CNN for Speech Emotion Recognition, ICPR 2020.
32. Qingqi Hong, Qingde Li, Beizhan Wang, Jie Tian, Fei Xua, Kunhong Liu*, Xuan Cheng*, High-quality vascular modeling and modification with implicit extrusion surfaces for blood flow computations, Computer Methods and Programs in Biomedicine, Vol 196, 2020.
33. J Gao，W Lin，K Liu，Q Hong，B Wang, Imprecise Deep Forest for Partial Label Learning, IEEE Access, 2020.
34. Xiao-Na Ye, Kun-Hong Liu *, Sze-Teng Liong, A Ternary Bitwise Calculator Based Genetic Algorithm for Improving Error Correcting Output Codes, Information Sciences, vol. 537, pp. 485-510, 2020.
35. Yu-Ping Zhang, Xiao-Na Ye, Kun-Hong Liu*, Jun-Feng Yao, A Novel Multi-Objective Genetic Algorithm Based Error Correcting Output Codes, Swarm and Evolutionary Computation, vol. 57, 2020.
36. Kai-Jie Feng, Sze-Teng Liong, Kun-Hong Liu*, The Design of Variable Length Based Coding Matrix for Improving Error Correcting Output Codes, Information Sciences, vol. 534, pp. 192-217, 2020.
代表性科研项目：
1. 福州恒智科技有限公司,智慧训练系统AI动作识别，2022年9月18日至2022年12月18日（主持）
2. 杭州爱泰智能科技有限公司，适用于异构数据的联邦学习算法设计及其在金融风险联防联控中的应用研究，2021年7月15日至2022年1月14日（主持）
3. 厦门东博科技有限公司，交通多源数据的智能挖掘算法研究与核心模块开发，2020年12月1日至2021年11月30日（主持）
4. 日本住友电工集团，基于深度深林的AI情感识别算法研究，2020.2-2020.7.（主持）
5. 厦门市科技局，基于区块链的物联网平台研发，2020.6-2022.6.（主持）
6. 新加坡Cellnetwork公司，best365网页版登录-新加坡Cellnetwork区块链联合研究中心，2019.10－2022.10；（主持）
7. 国家自然科学基金面上项目，61772023，基于输出纠错编码的开集多类数据挖掘算法研究，2018.1－2021.12；（主持）
8. 中华人民共和国科学技术部，国家重点研发计划前沿科技创新专项，2019QY1803，***翻译***研究及应用示范，2019-10至2021-10。（参与）
9. 中华人民共和国科学技术部，国家重点研发计划，2017YFC1703303，基于舌诊临床大数据的人工智能技术研究与应用，2017-12至2021-12。（参与）
10. 福建省自然科学基金面上项目，2016J01320，基于输出纠错编码的多类基因微阵列数据挖掘方法研究,2016.4－2019.3；（主持）
授权专利：
● 张海英;苏劲松;刘昆宏；白皎;刘岩;李正洁;朱宽;赵瞾，基于快速自动密度聚类的可变尺度红外小目标的检测方法，2016-05-28，中国，专利号：ZL201610805463.4 （发明专利）
● 孙蒙新；刘昆宏；王备战；洪清启；张海英；一种智能嘻哈音乐歌词生成的建模方法，2020-09-02，中国，专利号：ZL201910018462.9 （发明专利）
● 刘昆宏,葛琪超,王备战，应用于刑侦的基于深度森林的微表情识别方法，2021-5-28, 中国，ZL201910456807.9 （发明专利）
● 吴清强;刘昆宏;矫丽瑶;叶西蒙;余宁;梁浩然，一种基于地震信号优化处理的波阻抗反演方法，2021-07-30，中国，
● 陈俐燕，刘昆宏，黎少东，王备战，刘晓宇，林璐， 一种教学辅助机器人，2021-10-22，202120634496.3（实用新型）
● 刘昆宏,吴清强,叶西蒙,矫丽瑶,姚俊峰，一种基于XGBoost的井间动态连通性量化方法，2022-06-15， 202010590744.9
● 刘昆宏，杨小娟；吴清强；陈浩远；徐民洪；李昌春；应用于基础音乐视唱教育的视唱错误曲谱标注方法；2022082600652680；
● 刘昆宏，吴清强；吴苏悦；张敬峥；詹旺平；一种基于语音合成的乐谱智能视唱方法和系统；2023010101753580；
软件著作权：
1. 大学生学习行为分析系统 2018SR1067032
2. 基于无线路由的商铺数据分析系统，2018SR337625
3. 石板切割自动排版系统，2018SR930713；
4. 基于深度学习的实时图像风格迁移系统 2018SR930706；
5. 智能乐理视唱练习平台——错误标注模块系统 2020SR0831944
6. 在线k歌自动评分软件 2020SR0831965
7. 基于循环神经网络的哼唱音频降噪系统 2020SR0831874
8. 微博用户画像分析系统 2020SR0831937
9. 社交媒体用户分析系统 2020SR0832331
10. 智能乐理视唱练耳唱名识别软件 2020SR0831972
11. 智能乐理视唱练习系统 2020SR0832401
12. 以太坊物资管理平台 2021SR0700323
13. 基于区块链的应急管理系统，2022SR0539233
竞赛指导：
2020 全国大学生电子商务创新、创意及创业挑战赛福建赛区省级选拔赛一等奖（指导教师：刘昆宏、孟宪军）
2020 中医链世界——基于区块链的中医健康系统，2020区块链技术与教育高峰论坛中荣获优秀案例三等奖 （指导教师：刘昆宏、孟宪军）
2018 imusic智能音乐教育平台项目，中国大学生互联网+大赛银奖；
2017 中国软件杯大学生软件设计大赛基于WIFI探针的商业大数据分析技术比赛单项三等奖；
2016 CCF大数据与计算智能大赛（BDCI）电力用户画像 比赛单项三等奖；
