一、个人基本信息
朱小柯，男，1981年10月生，河南许昌人，研究生学历，工学博士，副教授，硕士生导师。河南省数字图形图像学会理事，智能信息融合专业委员会委员。计算机与信息工程学院数据智能分析与处理团队负责人。团队网站：https://ml.henu.edu.cn/
二、奖励
[1]2012年河南大学教学质量竞赛，一等奖
[2]武汉大学2017届优秀毕业研究生
[3]武汉大学2017年研究生学术创新奖，二等奖
[4]武汉大学2018年研究生学术创新奖，二等奖
[5]武汉大学2019年研究生学术创新奖，二等奖
[6]True-color and Grayscale Video Person Re-identification, 广东省计算机学会, 广东省计算机学会优秀论文奖, 其他, 2021(马飞; 荆晓远; 朱小柯; 唐振民; 彭志平)
[7]Progress on approaches to software defect prediction, The Institution of Engineering and Technology, CCF B类期刊 IET Software 年度优秀论文奖（唯一）, 其他, 2019(Zhiqiang Li; Xiao-yuan Jing; Xiaoke Zhu)
三、主讲课程和研究方向
研究生课程：机器学习
本科生课程：Java web程序设计
研究方向：机器学习、模式识别、量子计算
四、论文、著作
[1]Xiaoke Zhu, Changlong Li, Xiaopan Chen, Xinyu Zhang, Xiao-Yuan Jing: Distance and Direction Based Deep Discriminant Metric Learning for Kinship Verification. ACM Transactions on Multimedia Computing, Communications, and Applications. 19(1s): 37:1-37:19 (2023)
[2]Xiaopan Chen, XiaokeZhu（通讯作者）, Shanshan Zheng, Taihao Zheng, Fan Zhang: Semi-Coupled Synthesis and Analysis Dictionary Pair Learning for Kinship Verification. IEEE Trans. Circuits Syst. Video Technol. 31(5): 1939-1952 (2021)
[3]Xiaopan Chen, Changlong Li, XiaokeZhu（通讯作者）, Liang Zheng, Ya Chen, Shanshan Zheng, Caihong Yuan: Deep discriminant generation-shared feature learning for image-based kinship verification. Signal Process. Image Commun. 101: 116543 (2022)
[4]Xiao-Yuan Jing ; Xinyu Zhang ; Xiaoke Zhu(共同通讯) ; Fei Wu ; Xinge You ; Yang Gao ; Shiguang Shan, Jing-Yu Yang:Multiset Feature Learning for Highly Imbalanced Data Classification, IEEE Transactions on Pattern Analysis and Machine Intelligence. doi: 10.1109/TPAMI.2019.2929166 (顶级期刊,SCI一区，CCF A)
[5]Xiaodong Jia ; Xiao-Yuan Jing ; Xiaoke Zhu(共同通讯); Songcan Chen ; Bo Du ; Ziyun Cai ; Zhenyu He; Dong Yue. Semi-supervised Multi-view Deep Discriminant Representation Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, doi: 10.1109/TPAMI.2020.2973634 (顶级期刊,SCI一区，CCF A)
[6]Fei Ma, Xiao-Yuan Jing, Xiaoke Zhu(共同一作), Zhenmin Tang, Zhiping Peng, True-Color and Grayscale Video Person Re-Identification, in IEEE Transactions on Information Forensics and Security,vol.15,pp.115-129,2020.doi:10.1109/TIFS.2019.2917160(Top期刊,CCF A)
[7]Xiaoke Zhu, Pengfei Ye, Xiao-Yuan Jing, Xinyu Zhang, Xiang Cui, Xiaopan Chen, Fan Zhang: Heterogeneous Distance Learning Based on Kernel Analysis-Synthesis Dictionary for Semi-Supervised Image to Video Person Re-Identification. IEEE Access 8: 169663-169675 (2020)(Top期刊)
[8]Xiaoke Zhu; Xiao-Yuan Jing; Xinge You ; Xinyu Zhang ; Taiping Zhang: Video-based Person Re-identification by Simultaneously Learning Intra-video and Inter-video Distance Metrics, IEEE Transactions on Image Processing, 2018. (Top期刊, CCF A)
[9]Xiaoke Zhu; Xiao-Yuan Jing; Di Wu; Zhenyu He; Jicheng Cao; Dong Yue; Lina Wang: Similarity-maintaining Privacy Preservation and Location-aware Low-rank Matrix Factorization for QoS Prediction based Web Service Recommendation, IEEE Transactions on Services Computing, 2018. (Top期刊,CCF B)
[10]Xiaoke Zhu; Xiao-Yuan Jing; Xinge You; Wangmeng Zuo; Shiguang Shan; Wei-Shi Zheng:Image to Video Person Re-identification by Learning Heterogeneous Dictionary Pair with Feature Projection Matrix, IEEE Transactions on Information Forensics and Security, 2017. (Top期刊,CCF A)
[11]Xiaoke Zhu; Xiao-Yuan Jing; Liang Yang; Xinge You; Dan Chen; Guangwei Gao; Yunhong Wang: Semi-supervised Cross-view Projection-based Dictionary Learning for Video-based Person Re-identification, IEEE Transactions on Circuits and Systems for Video Technology, 2017 (SCI二区，CCF B)
[12]Xiaoke Zhu, Xiao-Yuan Jing, Fan Zhang, Xinyu Zhang, Xinge You, Xiang Cui: Distance learning by mining hard and easy negative samples for person re-identification. Pattern Recognition 95: 211-222 (2019) （SCI二区，CCF B类期刊）
[13]Xiaoke Zhu, Xiao-Yuan Jing, Fei Ma, Li Cheng, Yilin Ren: Simultaneous visual-appearance-level and spatial-temporal-level dictionary learning for video-based person re-identification, Neural Computing and Applications, https://doi.org/10.1007/s00521-018-3529-7. （SCI二区）
[14]Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Ruimin Hu, Xinge You, Yunhong Wang, Hui Feng, Jing-Yu Yang: Super-Resolution Person Re-Identification with Semi-Coupled Low-Rank Discriminant Dictionary Learning. IEEE Transactions on Image Processing 26(3): 1363-1378, 2017. (Top期刊, CCF A)
[15]Zhiqiang Li; Xiao-Yuan Jing;Xiaoke Zhu; Hongyu Zhang; Baowen Xu; Shi Ying: On the Multiple Sources and Privacy Preservation Issues for Heterogeneous Defect Prediction, IEEE Transactions on Software Engineering, 2017.(CCF A类期刊)
[16]Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Di Wu, Li Cheng, Sen Li, Ruimin Hu: Multi-Kernel Low-Rank Dictionary Pair Learning for Multiple Features Based Image Classification. AAAI 2017: 2970-2976. (CCF A类会议)
[17]Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Yunhong Wang, Wangmeng Zuo, Wei-Shi Zheng: Learning Heterogeneous Dictionary Pair with Feature Projection Matrix for Pedestrian Video Retrieval via Single Query Image. AAAI 2017: 4341-4348 2016. (CCF A类会议)
[18]Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Hui Feng: Video-Based Person Re-Identification by Simultaneously Learning Intra-Video and Inter-Video Distance Metrics. IJCAI 2016: 3552-3559. (CCF A类会议)
[19]Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Xinge You, Qinglong Liu, Dong Yue, Ruimin Hu, Baowen Xu: Super-resolution Person re-identification with semi-coupled low-rank discriminant dictionary learning. CVPR 2015: 695-704. (CCF A类会议)
[20]Xiaoke Zhu, Xiao-Yuan Jing, Fei Wu, Wei-Shi Zheng, Ruimin Hu, Chunxia Xiao, Chao Liang: Distance learning by treating negative samples differently and exploiting impostors with symmetric triplet constraint for person re-identification. ICME 2016: 1-6. (CCF B类会议)
[21]Fei Ma, Xiaoke Zhu, Qinglong Liu, Chengfang Song, Xiao-Yuan Jing, Dengpan Ye: Multi-view coupled dictionary learning for person re-identification. Neurocomputing 348: 16-26 (2019) （SCI二区）
[22]Fei Ma, Xiaoke Zhu, Cailing Wang, Huajun Liu, Xiao-Yuan Jing: Multi-orientation and multi-scale features discriminant learning for palmprint recognition. Neurocomputing 348: 169-178 (2019) （SCI二区）
[23]Fumin Qi, Xiao-Yuan Jing, Xiaoke Zhu, Fei Wu, Li Cheng: Privacy preserving via interval covering based subclass division and manifold learning based bi-directional obfuscation for effort estimation. ASE 2016: 75-86. (CCF A类会议)
[24]Fei Wu, Xiao-Yuan Jing, Wangmeng Zuo, Xiaoke Zhu: Discriminant Tensor Dictionary Learning with Neighbor Uncorrelation for Image Set based Classification. IJCAI 2017. (CCF A类会议)
[25]Xiao-Yuan Jing, Fei Wu, Xiaoke Zhu, Xiwei Dong, Fei Ma, Zhiqiang Li: Multi-spectral low-rank structured dictionary learning for face recognition. Pattern Recognition 59: 14-25 (2016). (CCF B类期刊)
[26]Fumin Qi, Xiao-Yuan Jing,Xiaoke Zhu, Xiaoyuan Xie, Baowen Xu, Shi Ying: Software effort estimation based on open source projects: Case study of Github. Information & Software Technology 92: 145-157 (2017)(CCF B类期刊)
[27]Zhiqiang Li, Xiao-Yuan Jing, Fei Wu,Xiaoke Zhu,Baowen Xu, Shi Ying: Cost-sensitive transfer kernel canonical correlation analysis for heterogeneous defect prediction, Automated Software Engineering, 2017.(CCF B类期刊)
[28]Sen Li, Xiao-Yuan Jing,Xiaoke Zhu, Xinyu Zhang, Fei Ma:Deep Metric Learning with Symmetric Triplet Constraint for Person Re-identification. ICONIP (3) 2017: 632-641(CCF C类会议)
[29]Zhiqiang Li, Xiao-Yuan Jing, Xiaoke Zhu, Hongyu Zhang: Heterogeneous Defect Prediction Through Multiple Kernel Learning and Ensemble Learning. ICSME 2017: 91-102(CCF B类会议)
五、科研项目
[1]国家自然科学基金委员会, 面上项目, 61672208, 基于新型语言机制的异构系统通信自动优化及其应用研究, 2017-01-01 至 2020-12-31,参与。
[2]河南省科技厅, 河南省自然科学基金面上项目, 202300410092, 基于递归神经网络和深度迁移学习的无监督视频行人重识别方法研究, 2020-01 至2021.12, 主持。
[3]河南省科技厅, 河南省科技攻关项目, 232102211013, 基于表征信息和鉴别信息挖掘的半监督跨模态行人重识别关键技术研究, 2023-01至 2024-12, 主持。
[4]河南省教育厅, 河南省高等学校重点科研项目计划, 19A520001, 基于深度迁移度量学习的无监督视频行人重识别方法研究, 2019-01 至 2020-12, 主持。
六、专利
[1]荆晓远; 马飞; 朱小柯; 黄鹤; 姚永芳; 彭志平 ; 基于半耦合鉴别字典学习的叶遮挡行人重识别方法及系统, 2020-1-07, 中国, ZL201910344098.5
[2]陈小潘；李昌龙；朱小柯；王毓斐；张冀统；叶鹏飞；郑亮; 距离和方向的深度鉴别度量学习亲属关系验证系统, ZL 2021 1 0459706.4
[3]朱小柯;王毓斐;陈小潘;郑珊珊;李昌龙;张冀统;叶鹏飞，一种基于边界框一致性的遥感目标检测方法，专 利 号：ZL 2021 1 0582368.3
七、联系方式
E-mail：xkzhu@henu.edu.cn
whuzxk@whu.edu.cn
xkzhu@vip.163.com
