基本信息
| 姓名：陈健 办公室：B7-402 E-mail:ellachen@scut.edu.cn 所在团队：人工智能与机器学习 个人主页： |
个人简介
陈健：华南理工大学教授、博士生导师。
中国计算机学会高级会员、中国计算机学会数据库专业委员会委员、广东省计算机学会大数据专业委员会副主任、广东省计算机学会数据库分会理事、秘书长、广东省计算机学会计算智能专业委员会委员。广东省“特支计划”科技创新青年拔尖人才，广东省“千百十工程”培养对象。
多年来一直专注于数据库、大数据分析、机器学习、智能计算方面的应用基础研究，在高维数据空间索引、移动对象轨迹数据流实时分析、复杂类型数据特征选择、基于语义的推荐算法、推荐系统中的隐私保护与攻击防御等问题上做出了有创新性的工作。近五年来，在包括IEEE TPAMI，IEEE TKDE，IEEE TPDS，JMLR，NN，KBS、软件学报等多个国内外顶级期刊和NeurIPS、CVPR、ICPR、IJCAI、AAAI、ICML等重要国际会议上发表论文80多篇，SCI/EI/ISTP收录70多篇次，获得由IEEE Computer Society 颁发的“2019 Best Paper Award for IEEE Transactions on Parallel and Distributed Systems”。出版译著6部，主编丛书1部，获发明专利授权5项，软件著作权30项。
主持多项国家自然科学基金、广东省自然科学基金、香港科技创新署粤港合作、广东省粤港澳联合基金项目、广州市科技计划项目、广州市科普项目等研究工作。
学历
博士
教学经历
本科主讲课程：数据库系统、编译原理
研究生主讲课程：数据挖掘与数据仓库、商务智能综合实践
工作经历
2005.7-至今 华南理工大学
社会兼职
中国计算机学会高级会员、中国计算机学会数据库专业委员会委员、广东省计算机学会大数据专业委员会副主任、广东省计算机学会数据库分会理事、秘书长、广东省计算机学会计算智能专业委员会委员。
研究方向
数据库、大数据分析、机器学习、人工智能
获奖情况
1.Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training .The 2019 Best Paper Award from IEEE Transactions on Parallel and Distributed Systems by the IEEE Computer Society Publications Board.
2.2007 年广东省科学技术进步奖（二等奖），基于Web 的交通规费管理及信息分析决策系统。
科研项目
2021/01/01~2024/12/31国家自然科学基金基于非中心化学习机制的推荐模型关键问题研究（项目编号：62072186）
2020/01/01~2023/12/31 广东省基础与应用基础研究基金区域联合基金-粤港澳研究团队项目城市大数据与智能处理关键理论与技术 (项目编号：2019B1515130001，核心成员二)
2019/04/01~2022/03/31广州市科技计划项目（科学研究计划）基于多语言文本挖掘的智能商业决策关键技术研究（项目编号：201904010197）
2017/06~2020/05 广东省特支计划项目科技青年拔尖人才（项目编号：2016TQ03X445）
发表文章
[1].Yawen Chen, Zeyi Wen, Bingsheng He, Jian Chen. Efficient Decomposition Selection for Multi-class Classification. IEEE Transactions on Knowledge and Data Engineering (TKDE). doi: 10.1109/TKDE.2021.3130239.【影响因子6.977, JCR一区，CCF A类期刊】
[2].Jiantong Jiang, Zeyi Wen, Zeke Wang, Bingsheng He, Jian Chen. Parallel and Distributed Structured SVM Training. IEEE Transactions on Parallel and Distributed Systems（TPDS）. 2022, 33(5):1084-1096.【影响因子3.971，JCR一区，CCF A类期刊】
[3].Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Zhipeng Li, Jian Chen, Peilin Zhao, Junzhou Huang. Towards Accurate and Compact Architectures via Neural Architecture Transformer. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021. 【影响因子17.73，JCR 一区，CCF A类期刊】
[4].Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, Jian Chen, Jingdong Wang. Content-Aware Convolutional Neural Networks. Neural Networks. 2021, 143: 657-668. 【影响因子5.785，JCR 一区，CCF B类期刊】
[5].Zhihao Wang, Jian Chen, Steven C.H. Hoi. Deep Learning for Image Super-resolution: A Survey. IEEE Transactions on Pattern Analysis and Machine Intelligence. 2021，43(10): 3365 - 3387. 【影响因子17.73，JCR 一区，CCF A类期刊】
[6].Zeyi Wen, Zhishang Zhou, Hanfeng Liu, Bingsheng He, Xia Li, Jian Chen. Enhancing SVMs with Problem Context Aware Pipeline. In: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD ’21), August 14–18, 2021. Virtual Event, Singapore. ACM, New York, NY, USA, 9 pages. https://doi.org/10.1145/3447548.3467291. 【CCF A类会议】
[7].Jiachun Wang, Fajie Yuan, Jian Chen, Qingyao Wu, Min Yang, Yang Sun, Guoxiao Zhang. StackRec: Efficient Training of Very Deep Sequential Recommender Models by Iterative Stacking. In: Proceedings of the 44th International ACM SIGIR Conference (SIGIR2021). Online. July 11-15, 2021. 【CCF A类会议】
[8].Yixin Liu, Yong Guo, Zichang Liu, Haohua Liu, Jingjie Zhang, Zejun Chen, Jing Liu, Jian Chen. Conditional Automated Channel Pruning for Deep Neural Networks. IEEE Signal Processing Letters. 2021. 28: 1275-1279.【影响因子3.268，JCR三区】
[9].Zhibin Hu, Jiachun Wang, Yan Yan, Peilin Zhao, Jian Chen, Jin Huang. Neural Graph Personalized Ranking for Top-N Recommendation. Knowledge-based Systems. 2021, 2(213):106. 【影响因子5.921, JCR一区，CCF C类期刊】
[10].Chao Han, Jian Chen, Mingkui Tan, Michael K. Ng, Qingyao Wu. A Tensor-based Markov Chain Model for Heterogeneous Information Network Collective Classification. IEEE Transactions on Knowledge and Data Engineering (TKDE). doi: 10.1109/TKDE.2021.3039533. 【影响因子6.977, JCR一区，CCF A类期刊】
[11].Chen Qi, Wu Qi, Jian Chen, Wu Qingyao, van den Hengel Anton, Tan Mingkui. Scripted Video Generation With a Bottom-Up Generative Adversarial Network. IEEE Transactions on Image Processing(TIP), 2020, 29: 7454-7467. 【影响因子10.856, JCR一区，CCF A类期刊】
[12].Yong Guo, Yaofo Chen, Yin Zheng, Peilin Zhao, Jian Chen, Junzhou Huang, Mingkui Tan. Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search. In: Proceedings of the Thirty-seventh International Conference on Machine Learning (ICML2020). PMLR 119:3822-3831, 2020. 【CCF A类会议】
[13].Zeyi Wen, Hanfeng Liu, Jiashuai Shi, Qinbin Li, Bingsheng He and Jian Chen. ThunderGBM: Fast GBDTs and Random Forests on GPUs. Journal of Machine Learning Research (JMLR) . 2020, 21(108):1−5.【影响因子2.454，JCR一区，CCF A类期刊】
[14].Yong Guo, Yongsheng Luo, Zhenhao He, Jin Huang, Jian Chen. Hierarchical Neural Architecture Search for Single Image Super-Resolution. IEEE Signal Processing Letters. 2020, 6(27):1255-1259.【影响因子3.268，JCR三区】
[15].Yong Guo, Jian Chen, Jingdong Wang, Qi Chen, Jiezhang Cao, Zeshuai Deng, Yanwu Xu, Mingkui Tan. Closed-loop Matters: Dual Regression Networks for Single Image Super-Resolution. In Proceedings of the IEEE conference on computer vision and pattern recognition (CVPR). 14-16 June, 2020. 【CCF A类会议】
[16].Yong Guo, Jian Chen, Qing Du, Anton Van Den Hengel, Qinfeng Shi, Mingkui Tan. Multi-way Backpropagation for Training Compact Deep Neural Networks. Neural Networks. 2020, 126:250-261. 【影响因子5.785，JCR 一区，CCF B类期刊】
[17].Yong Guo, Yin Zheng, Mingkui Tan, Qi Chen, Jian Chen, Peilin Zhao, Junzhou Huang. NAT: Neural Architecture Transformer for Accurate and Compact Architectures. In: Proceedings of the Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, Dec 8-14, 2019. 735-747.【CCF A类会议】
[18].Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, Kotagiri Ramamohanarao and Qinbin Li. Exploiting GPUs for Efficient Gradient Boosting Decision Tree Training. IEEE Transactions on Parallel and Distributed Systems（TPDS）. 2019, 30(12): 2706 - 2717. 2019 Best Paper Award from IEEE Transactions on Parallel and Distributed Systems by the IEEE Computer Society Publications Board. 【影响因子3.971，JCR一区，CCF A类期刊】
[19].Zhibin Hu, Yongsheng Luo, Jiong Lin, Yan Yan, Jian Chen. Multi-Level Visual-Semantic Alignments with Relation-Wise Dual Attention Network for Image and Text Matching. In: Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019). Macao, China, August 10-16, 2019. 789-795.【CCF A类会议】
[20].Yong Guo, Qi Chen, Jian Chen, Qingyao Wu, Qinfeng Shi, and Mingkui Tan. Auto-Embedding Generative Adversarial Networks for High Resolution Image Synthesis. IEEE Transactions on Multimedia. 2019, 21(11), 2726-2737. 【影响因子5.452，JCR一区，CCF B类期刊】
[21].Zeyi Wen, Jiashuai Shi, Bingsheng He, Jian Chen, and Yawen Chen. Efficient Multi-Class Probabilistic SVMs on GPUs. IEEE Transactions on Knowledge and Data Engineering (TKDE). 2018, 31(9): 1693 - 1706. 【影响因子3.857, JCR一区，CCF A类期刊】
[22].Zeyi Wen, Jiashuai Shi, Bingsheng He, Qinbin Li, and Jian Chen. ThunderSVM: A Fast SVM Library on GPUs and CPUs. Journal of Machine Learning Research (JMLR). 2018, 19(1): 797-801. 【影响因子2.454，JCR一区，CCF A类期刊】
[23].Yong Guo, Qingyao Wu, Chaorui Deng, Jian Chen and Mingkui Tan. Double Forward Propagation for Memorized Batch Normalization. In: Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18). New Orleans, Louisiana, USA. February 2-7, 2018. 【CCF A类会议】
