一、个人基本情况

   雷景生，二级教授，博士生导师，院长，民盟盟员

国家一流本科专业（计算机科学与技术）负责人

浙江省计算机科学与技术一流学科负责人ACM上海分会学术委员会委员

中国人工智能学会机器学习专业委员会常委

中国计算机学会数据库专业委员会委员

浙江省计算机类专业教学指导委员会委员

浙江省智能技术标准促进会监事长

二、科研项目

1）国家自然科学基金项目：

  1. 国家自然科学基金项目，知识与数据驱动的智能电网调度机制优化，项目编号: 61972357，2020.01-2023.12.主持，已结题

  2. 国家自然科学基金项目，面向多网融合的智能用电感知互动服务关键技术，项目编号: 61672337，2017.01-2020.12.主持，已结题

  3. 国家自然科学基金项目，面向智能电网负荷预测的电力大数据关键技术，项目编号: 61472236. 2015.01-2018.12. 主持，已结题

  4. 国家自然科学基金项目：电力监测无线传感器网络中感知数据的容忍与查询,项目编号: 61272437. 2013.01-2015.12. 主持，已结题

  5. 国家自然科学基金项目：基于云计算的海量网络数据管理与搜索技术，项目编号: 61073189. 2011.01-2013.12. 主持，已结题

  6. 国家自然科学基金项目：基于类格的多层网页分类技术研究，项目编号:60863001. 2009.01-2011.12. 主持，已结题

2）省部级重点科技项目

  1. 浙江省“尖兵领雁”科技计划项目：钢带电梯智能感知故障预警与运维决策关键技术研发及应用，项目编号：2024C01135，2024.1-2026.12，主持，在研；

  2. 浙江省“尖兵领雁”科技计划项目：基于人机物三元融合智能的复杂场所精准感知监测服务关键技术研发与示范应用，项目编号：2024C01109，2024.1-2026.1231，参加，在研；

 3.浙江省“尖兵领雁”科技计划项目：运动表现智能感知与辅助关键技术及应用示范，项目编号：2025C02045，2025.1-2026.12，主持，在研；

 4. 浙江省重点研发计划项目：面向智慧教育的多元跨界大数据融合技术及其应用示范，项目编号：2019C03135，2019.1.1-2021.12.31，主持，已结题；

 5. 上海市科委基础研究重点项目:电力监测无线传感器网络的故障诊断与安全机制，项目编号：12JC1404500，2012.11-2015.12，主持，已结题；

 6. 上海市科委地方能力建设项目:面向电力大数据的设备故障诊断与预警关键技术研究, 14160301900，2014.09-2016.12，主持，已结题；

 7. 上海市科委地方能力建设项目：电力用户侧智能控制与优化决策关键技术研究，项目编号: 09160501700，2009.11-2012.12，主持，已结题；

 8. 上海市科技创新重点项目:基于迁移学习的多层文本分类技术研究，项目编号:10ZZ115，2009.09-2012.12，主持，已结题；

 9. 上海市科技创新重点项目:电力监测无线传感网中不确定数据质量控制与修复技术研究，项目编号: 13ZZ131，2012.09-2015.12，主持，已结题；

 10.上海市知识服务平台产学研合作项目：电力大数据分析挖掘平台，2015.5-2017.5，主持，已结题。

3）企业合作重点科技项目

  1. 中航重机重点科技项目：中航重机生产指挥系统，195万，2024.3-2025.5，主持，在研；

  2. 南方电网贵州电网公司重点科技项目：基于标签技术的电网信息项目智能管理系统研究及应用, 184.6万元,2019.1-2020.12，主持，已结题；

  3. 国网浙江电网公司重点科技项目：变电站内异常电气设备及运动物体的识别和定位方法研究，99.6万元，2019.1-2020.12，主持，已结题；

  4. 山东广域科技公司科技项目：作业现场安全生产智能管控技术研究与开发，49.8万元，2018.7-2019.12，主持，已结题；

  5．中航集团安吉精铸公司重点科技项目：安吉精铸消防预警管理系统研究与开发，75.6994万元，2018.10-2019.12，主持，已结题；

  6. 南方电网贵州电网公司重点科技项目：多视图集成的客户用电行为预测及客户满意度提升运用研究，98万，2015.5-2016.12，主持，已结题；

  7. 国家电网上海电网公司科技项目：面向调度与营销的电力大数据系统平台，85万，2016.8-2017.12，主持，已结题。

三、发表的代表性学术论文

    [1] Yang S, Zhang Z, Shi W, Feng B, Hua Y, Lei J. SvRetina-LPD: A Sliding Vertex-Based RetinaNet for Robust Multi-Oriented License Plate Detection[J]. IEEE Transactions on Intelligent Transportation Systems, 2024.

   [2] Zhou W, Yang X, Lei J, et al. MC3Net: Multimodality Cross-Guided Compensation Coordination Network for RGB-T Crowd Counting[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 25(5):4156-4165.

   [3] Zhou W, Gong T, Lei J, et al. DBCNet: Dynamic bilateral cross-fusion network for RGB-T urban scene understanding in intelligent vehicles[J]. IEEE Transactions on Systems Man Cybernetics-Systems, 2023, 53(12):7631-7641.

   [4] Zhou W, Liu W, Lei J, et al. Deep binocular fixation prediction using a hierarchical multimodal fusion network[J]. IEEE Transactions on Cognitive and Developmental Systems, 2023, 15(2): 476-486.

   [5] Zhou W, Lv Y, Lei J, et al. Embedded control gate fusion and attention residual learning for RGB–thermal urban scene parsing[J]. IEEE Transactions on Intelligent Transportation Systems, 2023, 24(5): 4794-4803.

   [6] Zhou W, Yang E, Lei J, et al. PGDENet: Progressive guided fusion and depth enhancement network for RGB-D indoor scene parsing[J]. IEEE Transactions on Multimedia, 2023, 25: 3483-3494.

    [7] Zhou W, Dong S, Lei J, et al. MTANet: Multitask-aware network with hierarchical multimodal fusion for RGB-T urban scene understanding[J]. IEEE Transactions on Intelligent Vehicles, 2023, 8(1): 48-58.

    [8] Zhou W, Zhu Y, Lei J, et al. LSNet: Lightweight spatial boosting network for detecting salient objects in RGB-thermal images[J]. IEEE Transactions on Image Processing, 2023, 32: 1329-1340.

    [9] Zhou W, Pan Y, Lei J, et al. DEFNet: Dual-branch enhanced feature fusion network for RGB-T crowd counting[J]. IEEE Transactions on Intelligent Transportation Systems, 2022, 23(12): 24540-24549.

    [10] Zhou W, Liu C, Lei J, et al. RLLNet: A lightweight remaking learning network for saliency redetection on RGB-D images[J]. Science China Information Sciences, 2022, 65(6): 160107.

    [11] Kong Y, Jiang Y, Li X, Lei J. A time-specified zeroing neural network for quadratic programming with its redundant manipulator application[J]. IEEE Transactions on Industrial Electronics, 2022, 69(5): 4977-4987.

    [12] Zhou W, Lv S, Lei J, et al. RFNet: Reverse fusion network with attention mechanism for RGB-D indoor scene understanding[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2023, 7(2): 598-603.

    [13] Zhou W, Guo Q, Lei J, et al. ECFFNet: Effective and consistent feature fusion network for RGB-T salient object detection[J]. IEEE Transactions on Circuits and Systems for Video Technology, 2022, 32(3): 1224-1235.

    [14] Zhou W, Lin X, Lei J, et al. MFFENet: Multiscale feature fusion and enhancement network for RGB–thermal urban road scene parsing[J]. IEEE Transactions on Multimedia, 2022, 24: 2526-2538.

    [15] Zhou W, Zhu Y, Lei J, et al. CCAFNet: Crossflow and cross-scale adaptive fusion network for detecting salient objects in RGB-D images[J]. IEEE Transactions on Multimedia, 2022, 24: 2192-2204.

     [16] Zhou W, Zhu Y, Lei J, et al. APNet: Adversarial learning assistance and perceived importance fusion network for all-day RGB-T salient object detection[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(4): 957-968.

     [17] Zhou W, Jin J, Lei J, et al. CEGFNet: Common extraction and gate fusion network for scene parsing of remote sensing images[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60: 5405110.

    [18] Zhou W, Guo Q, Lei J, et al. IRFR-Net: Interactive recursive feature-reshaping network for detecting salient objects in RGB-D images[J]. IEEE Transactions on Neural Networks and Learning Systems, 2021.

    [19] Zhou W, Pan S, Lei J, et al. TMFNet: Three-input multilevel fusion network for detecting salient objects in RGB-D images[J]. IEEE Transactions on Emerging Topics in Computational Intelligence, 2022, 6(3): 593-601.

    [20] Zhou W, Lv Y, Lei J, et al. Global and local-contrast guides content-aware fusion for RGB-D saliency prediction[J]. IEEE Transactions on Systems Man Cybernetics-Systems, 2021, 51(6): 3641-3649.

    [21] Zhou W, Wu J, Lei J, et al. Salient object detection in stereoscopic 3D images using a deep convolutional residual autoencoder[J]. IEEE Transactions on Multimedia, 2021, 23: 3388-3399.

    [22] Zhou W, Liu J, Lei J, et al. GMNet: Graded-feature multilabel-learning network for RGB-thermal urban scene semantic segmentation[J]. IEEE Transactions on Image Processing, 2021, 30: 7790-7802.

    [23]Zhou W, Lei J, Jiang Q, et al. Blind binocular visual quality predictor using deep fusion network[J]. IEEE Transactions on Computational Imaging, 2020, 6: 883-893.

    [24]Fengyong Li, Kui Wu, Lei J, Mi Wen,Zhongqin Bi, and Chunhua Gu ，Steganalysis Over Large-Scale Social Networks With High-Order Joint Features and Clustering Ensembles，IEEE Transactions on Information Forensics and Security, VOL. 11, NO. 2：344-357, FEBRUARY 2016.

    [25] Guoming Tang, Kui Wu, Lei J，A Distributed and Scalable Approach to Semi-Intrusive Load Monitoring，IEEE Transactions on Parallel and Distributed Systems, 27(6): 1553-1565 (2016).

    [26] Guokang Zhu, Yuancheng Huang, Lei J, Zhongqin Bi, and Feifei Xu，Unsupervised Hyperspectral Band Selection by Dominant Set Extraction，IEEE Transactions on Geoscience and Remote Sensing, VOL. 54, NO. 1:227-239, JANUARY 2016.

    [27] Mi Wen, Kaoru Ota, He Li, Lei J, Chunhua Gu, and Zhou Su, Secure Data Deduplication With Reliable Key Management for Dynamic Updates in CPSS, IEEE Transactions on Computational Social Systems, 2(4): 137-147 (2015).

    [28] Zhenjiangi Li, WenweiChen, Mo Li, Lei J，Incorporating Energy Heterogeneity Into Sensor Network Time Synchronization, IEEE Transactions on Parallel and Distributed Systems, 2015, 26(1): 163-173.

    [29] Lan Zhang, Xiang-Yang Li, Lei J,，Mechanism Design for Finding Experts Using Locally Constructed Social Referral Web，IEEE Transactions on Parallel and Distributed Systems，VOL. 26, NO. 8：2316-2326, AUGUST 2015.

    [30] Du, Wan; Li, Mo; Lei J, CO-MAP: Improving Multiple Access Efficiency of Mobile Wireless Network with Location Input, IEEE Transactions on Wireless Communications 13(12): 6643-6654 (2014) .

    [31] DongyaoJia, Rui Zhang, Kejie Lu, Jianping Wang, Zhongqin Bi, and Lei J. Improving the Uplink Performance of Drive-Thru Internet via Platoon-Based Cooperative Retransmission. IEEE Transaction on Vehicular Technology. 2014, 63(9): 4536-4545.

    [32] Tang, Guoming, Wu, Kui, Pei, Jian, Tang, Jiuyang, Lei J, An appliance-driven approach to detection of corrupted load curve data, CIKM 2014 - Proceedings of the 2014 ACM International Conference on Information and Knowledge Management, p 1429-1438, November 3, 2014.

    [33] M.Wen, R. Lu, K. Zhang, Lei J, X. Liang, and X. Shen, PaRQ: A Privacy- preserving Range Query Scheme over Encrypted Metering Data for Smart Grid, IEEE Transactions on Emerging Topics in Computing, 1(1),pp.: 178-191,2013.

   [34] M. Wen,K. Lu, Lei J, F.Y Li, J.Li, BDO-SD An Efficient Scheme for Big Data Outsourcing with Secure Deduplication, accepted by IEEE INFOCOM workshop on Security and Privacy in Big Data, 2015.

   [35] Yanghui Rao, Lei J, Qing Li, Building emotional dictionary for sentiment analysisof online news, World Wide Web, 16(12):1-12,2013.

   [36] Ting Jin, HaoranXie, Lei J, Qing Li, Xiaodong Li, Xudong Mao, and Yanghui Rao, Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy, WI 2013, IEEE CS,2013.

   [37] Lei J Yanghui Rao, Qing Li, Towards Building a Social Emotion Detection System for Online News, Future Generation Computer Systems ， 37, pp. 438-448, 2014.

   [38] 徐菲菲，雷景生(*)，毕忠勤，苗夺谦，杜海舟，大数据环境下多决策表的区间值全局近似约简，软件学报，2014,25（9）：2119-2135

   [39] 朱林，雷景生(*)，杨杰，基于数据流的软子空间聚类算法研究，软件学报,11 期, pp 2610-2627, 2013. 

四、出版的学术著作

    [1] M.Wen, R. Lu, X. Liang, Jingsheng. Lei and X. Shen, Querying over Encrypted Data in Smart Grids, Springer Briefs in Computer Science, Springer Verlag, 2014. ISBN-13: 978-3319063546

    [2] Jingsheng Lei, Fu Lee Wang, Hepu Deng, Duoqian Miao, Artificial Intelligenceand Computational Intelligence, Springer, 2012, ISBN 978-3-642-33477-1.

    [3] Fu Lee Wang, Jingsheng Lei, Zhiguo Gong, Xiangfeng Luo, Web Information Systems and Mining, Springer, 2012, ISBN 978-3-642-33468-9.

    [4] Jingsheng Lei, Fu Lee Wang, Mo Li and Yuan Luo, Network Computing and Information Security, Springer, 2012, ISBN 978-3642352102.

    [5] Fu Lee Wang, Jingsheng Lei, Rynson W.H. Lau and Jingxin Zhang, Multimediaand Signal Processing, Springer,2012, ISBN 978-3642352850.