社会兼职
中国自动化学会智能健康与生物信息专业委员会委员、模式识别与机器智能专业委员会委员
中国计算机学会高级会员；虚拟现实与可视化专委会执行委员，智能机器人专委会执行委员
中国毒理学会人工智能毒理学专业委员会委员
代表性论著
1. Tao Chen, Jie Gao, Yong Xu, Weihong Qiu, Yijie Wu, Weimin Ye*, and Kunhong Liu*, Hard Sample Mining-based Tongue Diagnosis for Fatty Liver Disease Severity Classification, MICCAI 2025 (CCF B).
2. Zhikai Lin, Yong Xu, Kunhong Liu*, Liyan Chen, MDGP-forest: A novel deep forest for multi-class imbalanced learning based on multi-class disassembly and feature construction enhanced by genetic programming, Pattern Recognition, Volume 170, February 2026, 112070. （中科院一区top期刊，IF 7.6）
3. Yanran Fu, Junshan Han, Yong Xu, Kunhong Liu*, Jiang Lu*, Song He*, Xiaochen Bo*, RL-GCL: Reinforcement Learning-Guided Contrastive Learning for molecular property prediction, Information Fusion, Volume 122, 103208, 2025. （中科院一区top期刊，IF 15.5）
4. Min Zhang, Zilin Wang, Liyan Chen*, Kunhong Liu*, Juncong Lin, Dialogue Director: Bridging the Gap in Dialogue Visualization for Multimodal Storytelling, The IEEE International Conference on Multimedia & Expo (ICME), 2025. (CCF B)
5. Zou, Jiayu ; Wu, Lianlian ; Liu, Kunhong*; Xu, Yong ; He, Song*; Bo, Xiaochen*, A feature pair-based neural network embedded decision tree for synergistic drug combination prediction, Pattern recognition, 2025-03, p.111608. （中科院一区top期刊，IF 7.6）
6. Gao, Jie ; Wu, Lianlian ; Lin, Guangyi ; Zou, Jiayu ; Yan, Bowei ; Liu, Kunhong*; He, Song*; Bo, Xiaochen*, Multi-task multi-view and iterative error-correcting random forest for acute toxicity prediction, Expert systems with applications, 2025-05, Vol.274, p.126972, Article 126972. （中科院一区top期刊，IF 7.5）
7. Jiayu Zou, Lianlian Wu, Weiping Lin, Kunhong Liu*, Yong Xu, Song He*, and Xiaochen Bo*, CPDT: A Novel Cluster-based Paired Decision Tree for Identifying Biomedical Entity Interactions, BIBM, 2024. (CCF B)
8. Jiacheng Su, Kunhong Liu*, Liyan Chen, Junfeng Yao, Qingsong Liu, Dongdong Lv, Audio-driven High-resolution Seamless Talking Head Video Editing via StyleGAN, The IEEE International Conference on Multimedia & Expo (ICME), 2024.
9. Qiong Tan, Yuqi Wen, Yong Xu, Kunhong Liu*, Song He*, Xiaochen Bo*, Multi-view uncertainty deep forest: An innovative deep forest equipped with uncertainty estimation for drug-induced liver injury prediction, Information Sciences, Volume 667, 120342, 2024. （中科院一区top期刊，IF 6.8）
10. Shutong Xie, Zongbao He, Lifang Pan, Kunhong Liu*, Shubin Su, An Adaptive Error-Correcting Output Codes Algorithm Based on Gene Expression Programming and Similarity Measurement Matrix, Volume 145, 109957, Pattern Recognition, 2024. （中科院一区top期刊，IF 7.5）
11. Siyang Chen, Lianlian Wu, Yong Xu, Kunhong Liu*, Song He, and Xiaochen Bo, A Multi-View Learning-Based Bayesian Ruleset Extraction Algorithm For Accurate Hepatotoxicity Prediction, IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2023. (CCF B)
12. G. Lin, J. Gao, N. Zeng, Y. Xu, K. Liu*, B. Wang, et al., A self-adaptive soft-recoding strategy for performance improvement of error-correcting output codes, Pattern Recognition, Vol. 143 Pages 109813, 2023. （中科院一区top期刊，IF 7.5）
13. Lianlian Wu, Xiaona Ye, Yixin Zhang, Jie Gao, Zhikai Lin, Binsheng Sui, Yuqi Wen, Qingqiang Wu, Kunhong Liu*, Song He*, and Xiaochen Bo*, A Genetic Algorithm-Based Ensemble Learning Framework for Drug Combination Prediction, Journal of Chemical Information and Modeling, 2023. （中科院二区top期刊，IF 6.5）
14. Hong, Qingqi; Lin, Lingli; Li, Zihan; Li, Qingde; Yao, Junfeng; Wu, Qingqiang*; Liu, Kunhong*; Tian, Jie, A distance transformation deep forest framework with hybrid-feature fusion for CXR image classification, IEEE Transactions on Neural Networks and Learning Systems, 2023. （中科院一区top期刊，IF 11.1）
15. Kun-Hong Liu*, Qianhui Yang, Yu Xie*, Xiangyi Huang, Towards Open-Set Material Recognition using Robot Tactile Sensing, ICRA 2023 (Nomination of Outstanding Automation Paper Award, CCF B).
16. 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.
17. 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 predicting synergistic drug combination prediction, Cell Reports Methods, 2023.(获评Cell出版社2023年度中国最佳论文，中国毒理学会年度优秀论文奖)
18. 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, vol. 25, pp. 1345-1358, 2023. （中科院一区top期刊，IF 9.0）
19. 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. (CCF B)
20. 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, 2022. （中科院一区top期刊，IF 7.5）
21. 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), pp.1423-1428, 2022. (CCF B)
22. 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. (CCF A)
23. 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. （中科院一区top期刊，IF 6.8）
24. 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. （中科院二区top期刊，IF 7.8）
25. 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. (CCF B)
26. 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. (CCF B)
27. 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. （中科院一区top期刊，IF 6.8）
28. 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. （中科院一区top期刊，IF 7.5）
代表性科研项目：
1. 深圳江智机器人技术有限公司，应用于健康监控机器人的智能模型与算法开发，2025-06至2025-12；
2. 福建森益工程技术有限公司，智能数据分析建模软件开发，2024年10月-2025年3月；
3. 福建省科技厅，福建省医疗卫生领域科技创新联合资金项目，基于人工智能的影像组学联合临床特征的上皮性卵巢癌预后预测研究，2024年12月31日-2027年12月31日（第一合作者）。
4. 军事科学院军事医学研究院辐射医学研究所,基于深度森林的病原体防治药物预测研究，2021年8月15日至2022年8月15日（主持）
5. 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）
6. 新加坡Cellnetwork公司，厦门大学-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）
授权专利：
1. 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）
2. 刘昆宏;孙蒙新;吴清强;洪清启;陈俐燕;苏劲松;姚俊峰，一种基于深度森林和卷积神经网络的微表情识别方法，ZL202010589037.8
3. 刘昆宏;吴梦晨;张晶瑾;王薪蕾;吴清强;姚俊峰，基于区块链的应急物资管理方法、装置以及设备，ZL202110442082.5
4. 刘昆宏;陈滨;姚俊峰;林伟平;叶晓娜;刘佳桐，一种应用于社交机器人的微表情识别方法，ZL 2022 1 0186949.X
5. 刘昆宏;陈滨;吴清强;姚俊峰；一种应用于刑侦的微表情与宏表情片段识别方法，ZL 2020 1 1343361.8
6. 叶嘉鑫;刘昆宏;吴昌鲡;王煊泽;文昕成;罗妍；一种基于GTCN的实时语音情感识别方法及应用装置；ZL 2021 1 0316240.2
7. 刘昆宏;杨千慧;姚俊峰;谢瑜;黄祥逸；一种基于深度神经网络的机器人材质识别方法及系统；ZL 2022 1 0101620.9
8. 刘昆宏;陈滨;姚俊峰;陈俐燕;林璐；一种基于深度学习的课堂学生动作识别方法及系统；ZL 2022 1 0101703.8
9. 刘昆宏；赵钰迪；陈俐燕；一种基于生成式深度神经网络的促苏醒辅助机器人，ZL 2024 1 1800856.7
软件著作权：
[1] 基于深度学习的人脸视频编辑软件，2025SR0487316
[2] 基于人工智能的壁画修复系统，2025SR0600765
[3] 基于姿态估计的体育评估系统，2023SR1071240
[4] 基于深度学习的视频生成系统，2023SR1029410
[5] 基于区块链的应急事件管理系统，2022SR0539233
[6] 以太坊物资管理平台，2021SR0700323
[7] 微博用户画像分析系统，2020SR0831937
[8] 社交媒体用户分析系统，2020SR0832331
