浙江工业大学

孔祥杰

发布日期:2024-04-27 浏览次数:

个人简介 孔祥杰,浙江工业大学计算机科学与技术学院教授,浙江省杰出青年基金获得者,杭州市钱江特聘专家,浙江工业大学运河青年学者,城市科学与社会计算实验室创始者兼主任。现为CCF杰出会员、IEEE高级会员、ACM会员、美国科学研究荣誉协会会员(Sigma Xi)、中国计算机学会信息系统专业委员会执行委员、中国计算机学会普适计算专业委员会执行委员、中国自动化学会平行智能专业委员会委员、中文信息学会情感计算专业委员会委员。先后担任Wireless Communications and Computing、PeerJ Computer Science、KSII Transactions on Internet and Information Systems、Electronics等国际SCI期刊的编委(Editor),以及Pervasive and Mobile Computing、IEEE Access、International Journal of Distributed Sensor Networks 等多个国际SCI期刊专刊的(首席)客座编委(Guest Editor)。受邀担任CCVPR等10余个国际会议的大会/程序委员会主席,在IEEE CCCI等10余个国际会议做大会/主旨。报告担任IJCAI, KDD, IEEE BigData, IJCNN, COMPLEX NETWORKS, IEEE UIC, IEEE ICC等多个国际会议程序委员会(TPC)委员。担任IEEE TKDE、IEEE TMC、IEEE TNNLS、IEEE TNSE、IEEE TII、IEEE IOTJ、IEEE COMMUN MAG、IEEE NETW、IEEE TITS、TCJ、JASIST、计算机学报等顶级国内外期刊审稿人。 2004年获浙江大学自动化专业工学学士学位;同年进入浙江大学工业控制技术国家重点实验室直接攻读博士学位,师从孙优贤院士。2009年9月获浙江大学工学博士学位,浙江大学优秀毕业生。2009年12月至2020年6月任职于大连理工大学软件学院,历任讲师、副教授、网络工程系主任、院党委委员,其间2017年11月至2018年11月为印第安纳大学访问学者。2020年7月起任职于浙江工业大学计算机学院。2024年1月-2024年4月为迪肯大学高级访问学者(包氏奖学金资助)。 主要研究兴趣包括城市计算、社会计算、知识管理等。在IEEE TKDE、IEEE TMC、IJCAI、ACM Computing Surveys等国际期刊或会议发表/录用论文200多篇,其中180多篇为SCI检索论文。19篇论文入选ESI高被引论文(1%)(其中14篇为第一或通讯作者),5篇同时入选ESI 热点论文 (0.1%)。据Google Scholar显示,论文总引用次数8400余次,h因子为51(截至2024.04)。以第一作者获2020年IEEE Transactions on Vehicular Technology最佳论文奖(Best Land Transport)。两次排名第一获得辽宁省自然科学学术成果奖一等奖。连续入选斯坦福全球前2%顶尖科学家榜单-终身影响力排行榜和年度科学影响力排行榜,连续入选计算机领域顶尖科学家(Research.com)。研究工作被Nature Index、科学网等媒体广泛报道。获授权发明专利30余项。主持完成多项国家级及省部级课题。     主编教材《计算机网络》,由机械工业出版社出版;作为副主编编写《大数据导论》和《高级计算机网络》,分别由科学出版社和清华大学出版社出版,前者于2017 年6 月在科学出版社出版以来,据不完全统计,已被30余所高校选为课程教材,共印刷9 次,印量13800余册,共销售12000 余册。已联合培养博士毕业3人(其中外国留学生2人);培养全日制硕士毕业22人。学生在读期间多人次获得国家奖学金,毕业后出国深造或进入阿里、腾讯、华为、百度、小米等一流企业。Nature Index报道1:Predicting your future h-index Nature Index报道2:Senior scholars stick together代表性学术荣誉或认可:1.  浙江省杰出青年基金获得者,20202. 杭州市钱江特聘专家,20233.   入选斯坦福全球前2%顶尖科学家榜单-终身影响力排行榜和年度科学影响力排行榜,2022-20234.   入选计算机领域顶尖科学家(Research.com),2022-20235.  中国计算机学会杰出会员,20216.  IEEE车载技术协会(VTS)地面交通最佳论文奖(Best Land Transport),排名1/7,2020.67.  辽宁省计算机学会学术年会优秀论文二等奖,排名1/1, 20208.  辽宁省自然科学学术成果奖一等奖, 排名1/4,2017.99.  辽宁省自然科学学术成果奖一等奖, 排名1/4,2016.710.  辽宁省自然科学学术成果奖二等奖, 排名1/4,2019.1111.  IEEE Access国际期刊2018年杰出编委,排名1/1,2019.212.  Journal of The Franklin Institute国际期刊2017年杰出审稿人,排名1/1,2018.113.  ISA Transactions国际期刊2017年杰出审稿人,排名1/1,2018.114.  IEEE Senior Member, 2017城市科学与社会计算实验室诚招教师、博后、博士生和硕士生,欢迎联系! 科研成果 代表作:1.     Lingyun Wang, Hanlin Zhou, Yinwei Bao, Xiaoran Yan, Guojiang Shen, and Xiangjie Kong*. Horizontal Federated Recommender System: A Survey. ACM Computing Surveys (2024). doi: doi.org/10.1145/36561652.     Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han, Jiaxin Du, Xiangyu Zhao, Xiangjie Kong*. KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation. IJCAI 2024.3.    Feng Xia, Lei Wang, Tao Tang, Xin Chen, Xiangjie Kong*, Giles Oatley, and Irwin King. CenGCN: Centralized Convolutional Networks with Vertex Imbalance for Scale-Free Graphs. IEEE Transactions on Knowledge and Data Engineering 35, no.(5), pp.4555–4569,2023.4.    Xiangjie Kong, Juntao Wang, Zehao Hu, Yuwei He, Xiangyu Zhao, and Guojiang Shen. Mobile Trajectory Anomaly Detection: Taxonomy, Methodology, Challenges, and Directions. IEEE Internet of Things Journal, 2024. doi: 10.1109/JIOT.2024.3376457.5.    Xiangjie Kong, Hang Lin, Renhe Jiang, and Guojiang Shen. Anomalous Sub-Trajectory Detection With Graph Contrastive Self-Supervised Learning. IEEE Transactions on Vehicular Technology (2024). doi: 10.1109/TVT.2024.33826856.    Xiangjie Kong, Chenhao Ni, Gaohui Duan, Guojiang Shen, Yao Yang, and Sajal K. Das. Energy Consumption Optimization of UAV-Assisted Traffic Monitoring Scheme With Tiny Reinforcement Learning. IEEE Internet of Things Journal, 2024. doi: 10.1109/JIOT.2024.33652937.    Xiangjie Kong, Zhehui Shen, Kailai Wang, Guojiang Shen and Yanjie Fu, Exploring Bus Stop Mobility Pattern: A Multi-Pattern Deep Learning Prediction Framework, IEEE Transactions on Intelligent Transportation Systems, 2024. doi: 10.1109/TITS.2023.3345872.8.    Xiangjie Kong, Qiao Chen, Mingliang Hou, Hui Wang, Feng Xia. Mobility trajectory generation: a survey. Artificial Intelligence Review 56 (Suppl 3), (2023): 3057–3098.9.    Xiangjie Kong, Wenyi Zhang, Youyang Qu, Xinwei Yao, and Guojiang Shen. FedAWR : An Interactive Federated Active Learning Framework for Air Writing Recognition. IEEE Transactions on Mobile Computing, 2023, DOI: 10.1109/TMC.2023.332014710.  Linan Zhu, Zhechao Zhu, Chenwei Zhang, Yifei Xu, and Xiangjie Kong*. Multimodal sentiment analysis based on fusion methods: A survey. Information Fusion 95 (2023): 306-325.11.  Xiangjie Kong, Zhiqiang Huang, Guojiang Shen, Hang Lin, Mingjie Lv. “Urban Overtourism Detection Based on Graph Temporal Convolutional Networks” IEEE Transactions on Computational Social Systems 11, no.(1), pp.442–454, 2024.12.  Xiangjie Kong, Yuhan Wu, Hui Wang, and Feng Xia. Edge Computing for Internet of Everything: A Survey. IEEE Internet of Things Journal 9, no.(23), pp.23472–23485,2022.13.  Zhi Liu, Yang Chen, Feng Xia, Jixin Bian, Bing Zhu, Guojiang Shen, and Xiangjie Kong*. TAP: Traffic Accident Profiling via Multi-Task Spatio-Temporal Graph Representation Learning. ACM Transactions on Knowledge Discovery from Data 17, no. 4 (2023): 1-25.14.  Yan Zhang, Guojiang Shen, Xiao Han, Wei Wang, and Xiangjie Kong*. Spatio-Temporal Digraph Convolutional Network Based Taxi Pick-Up Location Recommendation. IEEE Transactions on Industrial Informatics  19, no.(1), pp.394–403,2023.15.  Xiangjie Kong, Qiao Chen, Mingliang Hou, Azizur Rahim, Kai Ma, and Feng Xia. RMGen: A Tri-Layer Vehicular Trajectory Data Generation Model Exploring Urban Region Division and Mobility Pattern. IEEE Transactions on Vehicular Technology 71, no.(9), pp.9225–9238,2022.16.  Xiangjie Kong, Ning Li, Chenwei Zhang, Guojiang Shen, Zhaolong Ning, and Tie Qiu. Multi-Feature Representation based COVID-19 Risk Stage Evaluation with Transfer Learning. IEEE Transactions on Network Science and Engineering 9, no.(3), pp.1359–1375,2022.17.  Xiangjie Kong, Kailai Wang, Mingliang Hou, Feng Xia, Gour Karmakar, and Jianxin Li. Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework. IEEE Transactions on Intelligent Transportation Systems 23, no.(9), pp.16148–16160,2022.18.  Xiangjie Kong, Gaohui Duan, Mingliang Hou, Guojiang Shen, Hui Wang, Xiaoran Yan, and Mario Collotta, Deep Reinforcement Learning based Energy Efficient Edge Computing for Internet of Vehicles. IEEE Transactions on Industrial Informatics 18, no.(9), pp.6308–6316,2022.19.  Yongji Jiang, Wei-Jie Feng, Lei Wang, Xiangjie Kong*, and Qing-Guo Wang. A Rolling Optimization Algorithm for Real-Time Traffic Control with Delay Minimization. IEEE Transactions on Industrial Informatics 18, no. 9 (2022): 5915-5924.20.  Guojiang Shen, Xiao Han, KwaiSang Chin, and Xiangjie Kong*. An Attention-Based Digraph Convolution Network Enabled Framework for Congestion Recognition in Three-Dimensional Road Networks. IEEE Transactions on Intelligent Transportation Systems 23, no.(9) , pp.14413–14426, 202221.  Xiangjie Kong, Bing Zhu, Guojiang Shen, Tewabe chekole Workneh, Zhanhao Ji, Yang Chen, and Zhi Liu. Spatial-Temporal-Cost Combination based Taxi Driving Fraud Detection for Collaborative Internet of Vehicles. IEEE Transactions on Industrial Informatics 18, no.(5), pp.3426–3436,2022.22.  Xiangjie Kong, Kailai Wang, Mingliang Hou, Xinyu Hao, Guojiang Shen, Xin Chen, Feng Xia, A Federated Learning-based License Plate Recognition Scheme for 5G-enabled Internet of Vehicles, IEEE Transactions on Industrial Informatics 17, no.(12) , pp.8523–8530,202123.  Xiangjie Kong, Haoran Gao, Guojiang Shen, Gaohui Duan, Sajal K. Das, FedVCP: A Federated Learning based Cooperative Positioning Scheme for Social Internet of Vehicles, IEEE Transactions on Computational Social Systems 9, no.(1) , pp.197–206,202224.  Guojiang Shen, Zhenzhen Zhao, Xiangjie Kong*, GCN2CDD: A Commercial District Discovery Framework via Embedding Space Clustering on Graph Convolution Networks. IEEE Transactions on Industrial Informatics 18, no.(1), pp. 356-364, 202225.  Xiangjie Kong, Kailai Wang, Shupeng Wang, Xiaojie Wang, Xin Jiang, Yi Guo, Guojiang Shen, Xin Chen, and Qichao Ni, Real-time Mask Identification for COVID-19: An Edge Computing-based Deep Learning Framework. IEEE Internet of Things Journal 8, no.(21), pp.15929-15938, 202126.  Xiangjie Kong, Jun Zhang, Da Zhang, Yi Bu, Ying Ding, Feng Xia. The Gene of Scientific Success. ACM Transactions on Knowledge Discovery from Data. 14, no. 4 (2020): 41.27.  Xiangjie Kong, Shiqin Tong, Haoran Gao, Guojiang Shen, Kailai Wang, Mario Collotta, Ilsun You, Sajal Das. Mobile Edge Cooperation Optimization for Wearable Internet of Things: A Network Representation-based Framework, IEEE Transactions on Industrial Informatics 17, no.(7) , pp.5050–5058,202128.  Xiangjie Kong, Feng Xia, Jianxin Li, Mingliang Hou, Menglin Li, Yong Xiang. A Shared Bus Profiling Scheme for Smart Cities Based on Heterogeneous Mobile Crowdsourced Data. IEEE Transactions on Industrial Informatics 16, no.(2) , pp.1436–1444,202029.  Xiangjie Kong,Yajie Shi, Wei Wang, Kai Ma, Liangtian Wan, Feng Xia. The Evolution of Turing Award Collaboration Network: Bibliometric-level and Network-level Metrics, IEEE Transactions on Computational Social Systems 6, no. 6 (2019): 1318-1328.30.  Feng Xia, Jiaying Liu, Hansong Nie, Yonghao Fu, Liangtian Wan, Xiangjie Kong*. “Random Walks: A Review of Algorithms and Applications.” IEEE Transactions on Emerging Topics in Computational Intelligence 4, no. 2 (2019): 95-107.31.  Liangtian Wan, Lu Sun, Xiangjie Kong*, Yuyuan Yuan, Ke Sun, and Feng Xia. “Task-Driven Resource Assignment in Mobile-Edge Computing Exploiting Evolutionary Computation”, IEEE Wireless Communications 26, no. 6 (2019): 94-101.32.  Zhaolong Ning, Yufan Feng, Mario Collotta, Xiangjie Kong*, Xiaojie Wang, Lei Guo, Xiping Hu, Bin Hu, Deep Learning in Edge of Vehicles: Exploring Tri-Relationship for Data Transmission. IEEE Transactions on Industrial Informatics 15, no. 10 (2019): 5737-5746.33.  Xiangjie Kong, Xiaoteng Liu, Behrouz Jedari, Menglin Li, Liangtian Wan, Feng Xia. Mobile Crowdsourcing in Smart Cities: Technologies, Applications and Future Challenges. IEEE Internet of Things Journal 6, no. 5, pp.8095–8113,2019.34.  Feng Xia, Jinzhong Wang, Xiangjie Kong*, Da Zhang, Zhibo Wang. Ranking Station Importance with Human Mobility Patterns Using Subway Network Datasets. IEEE Transactions on Intelligent Transportation Systems 21, no. 7 (2019): 2840-2852.35.  Xiangjie Kong, Feng Xia, Kai Ma, Jianxin Li, Qiuyuang Yang. Discovering Transit-Oriented Development Regions of Mega Cities Using Heterogeneous Urban Data, IEEE Transactions on Computational Social Systems 6, no. 5 (2019): 943-955.36.  Wei Wang, Jiaying Liu, Zhuo Yang, Xiangjie Kong*, and Feng Xia. Sustainable Collaborator Recommendation Based on Conference Closure. IEEE Transactions on Computational Social Systems 6, no. 2 (2019): 311-322.37.  Jinzhong Wang, Xiangjie Kong, Feng Xia, and Lijun Sun. 2019. Urban Human Mobility: Data-Driven Modeling and Prediction. SIGKDD Explorations. 21, 1 (May 2019), 1-19.38.  Xiangjie Kong, Menglin Li, Gaoxing Zhao, Huijie Zhang, Feng Xia. COOC: Visual Exploration of Co-occurrence Mobility Patterns in Urban Scenarios, IEEE Transactions on Computational Social Systems  6, no. 3 (2019): 403-413.39.  Xiangjie Kong, Menglin Li, Tao Tang, Kaiqi Tian, Luis Moreira-Matias, Feng Xia. Shared Subway Shuttle Bus Route Planning Based on Transport Data Analytics,IEEE Transactions on Automation Science and Engineering, 15, no. 4, pp.1507–1520, 2018.40.  Xiangjie Kong, Mengyi Mao, Wei Wang, Jiaying Liu, Bo Xu. VOPRec: Vector Representation Learning of Papers with Text Information and Structural Identity for Recommendation, IEEE Transactions on Emerging Topics in Computing 9, no. 1, pp.226–237, 2021.41.  Xiangjie Kong, Feng Xia, Zhaolong Ning, Azizur Rahim, Yinqiong Cai, Zhiqiang Gao, Jianhua Ma, Mobility Dataset Generation for Vehicular Social Networks Based on Floating Car Data, IEEE Transactions on Vehicular Technology 67, no. 5, pp.3874–3886, 2018.42.  Zhaolong Ning, Xiaojie Wang, Xiangjie Kong*, and Weigang Hou. A social-aware group formation framework for information diffusion in narrowband internet of things. IEEE Internet of Things Journal 5, no. 3 (2018): 1527-1538.43.  Feng Xia, Azizur Rahim, Xiangjie Kong*, Meng Wang, Yinqiong Cai, and Jinzhong Wang, Modeling and Analysis of Large-Scale Urban Mobility for Green Transportation,  IEEE Transactions on Industrial Informatics14 no. 4, pp.1469–1481, 2018.44.  Feng Xia, Jinzhong Wang, Xiangjie Kong*, Zhibo Wang, Jianxin Li, and Chengfei Liu. Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective, IEEE Communications Magazine. 2018 Mar;56(3):142-149.45.  Xiangjie Kong, Feng Xia, Jinzhong Wang, Azizur Rahim, and Sajal K. Das. Time-Location-Relationship Combined Service Recommendation Based on Taxi Trajectory Data. IEEE Transactions on Industrial Informatics 13, no. 3, pp.1202–1212, 2017. 代表性授权发明专利:1. 孔祥杰、宋秀苗、夏锋一种基于目标文本的计算文本相似度的方法专利号:201310105450.2 授权公告日:2015年12月23日2. 孔祥杰、宋茜萌、杨卓、夏锋一种基于局部异常因子的城市交通拥堵路段检测方法专利号:201610125269.1 授权公告日:2017年11月10日3. 孔祥杰、夏锋、高志强、惠煌、廉莲一种基于浮动车数据的私家车出行数据集生成方法专利号: 201510508865.3 授权公告日:2018年4月10日4. 孔祥杰、李梦琳、杨卓、夏锋一种基于出租车轨迹数据的交通出行共现现象的可视化分析方法专利号:201611137603.1 授权公告日:2018年7月6日5. 孔祥杰、李梦琳、付振寰、郑超凡、惠煌、夏锋一种基于乘客出行多维特征的共享巴士站点客流预测方法,专利号:201711233503.3  授权公告日:2019年8月9日6.孔祥杰、李梦琳、夏锋、赵高兴、刘程程一种基于多源城市数据的出行共现现象可视化分析方法,专利号:201710820085.1 授权公告日:2020年5月7日7. 孔祥杰、闻琳燕、夏锋、张晨薇、刘晓钟一种基于表示学习和竞争理论的学者推荐及合作预测方法,专利号:201810853249.5 授权公告日:2020年10月27日8. 孔祥杰、夏锋、付振寰、郭昊尘、王进忠一种基于LDA模型的地铁站点功能挖掘方法,申请号:201710817833.0申请日:授权公告日:2020年7月14日9. 孔祥杰、田恺琦、李梦琳、刘晓腾、万良田、夏锋一种基于线路候选集的地铁接驳巴士线路规划方法专利号:201711234971.2 授权公告日:2020年4月20日10.孔祥杰;夏锋;沈国江;侯明良;任震;王辉基于生成对抗网络和驾驶时长的车辆跟驰模型生成方法专利号:ZL202011526672.8授权公告日:2023年5月26日11.孔祥杰;王辉;夏锋;沈国江;倪琦超;侯明良一种基于YOLOv4模型的挖掘机图像识别方法专利号:ZL202011526693.X授权公告日:2024年2月13日12.孔祥杰;夏锋;王开来;侯明良:一种基于人脸与非机动车协同识别的交通卡口监控系统专利号:ZL202110375857.1授权公告日:2024年4月8日 科研项目 代表性科研项目:1. 浙江省“领雁”研发攻关计划项目, 2024C01214, 综合交通枢纽一体化智慧运行关键技术及系统研究, 2024-01 至 2026-12, 300万元,主持2. 浙江省杰出青年科学基金,LR21F020003,基于异构城市时空数据的人群出行行为分析与建模,2021/01-2023/12,80万元,主持3. 国家自然科学基金面上项目,62072409,数据缺失环境下基于图学习的城市出行画像关键技术研究,2021/01-2024/12,57万元,主持4. 浙江中控信息产业股份有限公司委托课题, KYY-HX-20230833, 极端天气应急模拟推演系统开发,2023-06至2024-06, 115万元, 主持5. 省属高校基本科研业务费项目,RF-B2020001,基于时空图学习的城市区域画像,2020/09-2022/09,30万元,在研,主持6. 浙江鸿程计算机系统有限公司委托课题,KYY-HX-20210782,工业应用组件及代码质量研究,2021/03-2022/09,30万元,主持7. 国家自然科学基金面上项目,61971084,面向5G车联网的边缘网络资源管理关键技术研究,2020/01-2023/12,59万元,第一参与人8. 国家重点研发计划子课题, 2018YFC0830203, 智能化交互式的诉讼材料自动化生成和有效性审查的关键技术及装备研究, 2018/07-2021/06,30万元, 第一参与人9. 国家自然科学基金面上项目,61572106,车载社交网络中社会感知的高效数据传输策略,2016/01-2019/12,66万元, 第一参与人10. 辽宁省自然科学基金面上项目,201602154,数据驱动的城市交通流预测与优化关键技术研究,2016/07-2018/06,5万元,主持11.国家自然科学基金青年项目,61203165,城市公交网络建模与交叉口优先控制关键技术研究,2013/01-2015/12,25万元,主持 社会服务 中国计算机学会杰出会员IEEE 高级会员ACM 会员美国科学研究荣誉协会(Sigma Xi)会员中国计算机学会信息系统专业委员会委员中国计算机学会普适计算专业委员会委员中国自动化学会平行智能专业委员会委员中文信息学会情感计算专业委员会委员Editor Board Member:Wireless Communications and ComputingPeerJ Computer ScienceKSII Transactions on Internet and Information SystemsElectronicsFrontiers in Big DataPlos One浙江省科技专家库入库专家上海市科技专家库入库专家深圳市科技专家库入库专家 教学与课程 计算机网络原理计算机网络原理课程设计 育人成果 教材:1)     孔祥杰、万良田、夏锋. 计算机网络,机械工业出版社,2018.032)     宁兆龙、孔祥杰、杨卓、夏锋大数据导论,科学出版社,2017.053)     夏锋、孔祥杰、姚琳. 高级计算机网络,清华大学出版社,2014.10,普通高等教育“十一五”国家级规划教材

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