司俊俊

发布时间:2025-05-08作者:

姓  名

司俊俊        


职  称

副研究员


系  别

计算机科学与技术系


电子邮件


sijunjun@cuc.edu.cn


讲授课程


IT项目管理(本科)、软件开发理论与方法(硕士)


科研方向或教学专长


大数据


简介

副研究员,本科毕业于北京交通大学,硕士、博士毕业于北京大学,长期从事大数据、数据挖掘相关研究与开发工作,以第一作者发表SCI期刊/国际会议论文十余篇,授权发明专利二十余项,获德州市创新领军人才荣誉。


发表文章

[1] Junjun Si, Jin Yang, Yang Xiang, Hanqiu Wang, Li Li, Rongqing Zhang, Bo Tu, Xiangqun Chen, TrajBERT: BERT-Based Trajectory Recovery with SpatialTemporal Refinement for Implicit Sparse Trajectories, IEEE Transactions on Mobile Computing, vol. 23, no. 5, pp. 4849-4860, Jul 2023. (JCR-Q1, CCF A, IF=7.9

[2] Junjun Si, Jin Yang, Yang Xiang, Li Li, Bo Tu, Xiangqun Chen, ConDTC: Contrastive Deep Trajectory Clustering for Fine-grained Mobility Pattern Mining, IEEE Transactions on Big Data, vol. 11, no. 2, Feb 2024. (JCR-Q1, IF=7.5) 

[3] Li Li*, Junjun Si*(共同一作), Jinna Lv, Junting Lu, Jianyu Zhang and Shuaifu Dai, MSST: Multi-Scale Spatial-Temporal Representation Learning for Trajectory Similarity Computation, IEEE Transactions on Big Data, Early Access, Mar. 2025. (JCR-Q1, IF=7.5) 

[4] Junjun Si, Yang Xiang, Li Li, Bo Tu, A Two-Stage Map-matching Method for Sparse Trajectories with Small-scale Ground Truth Data, the 36th International Conference on Software Engineering & Knowledge Engineering (SEKE), South San Francisco, USA, 2024, pp.1-6.

[5] Junjun Si, Yang Xiang, Jin Yang, Li Li, Bo Tu, Xiangqun Chen, Rongqing Zhang, A Dual Self-supervised Deep Trajectory Clustering Method, the 28th IEEE Symposium on Computers and Communications (ISCC), Gammarth, Tunisia, 2023, pp. 1169-1172.

[6] Junjun Si, Zejiang Chen, Bo Tu, Shuaifu Dai, Xiangqun Chen, City-scale fingerprint positioning framework based on MDT data, the 27th IEEE Symposium on Computers and Communications (ISCC), Rhodes, Greece, 2022, pp. 1-6.

[7] Li Li*, Junjun Si*(共同一作), Jin Yang, Shuaifu Dai, Jianyu Zhang, Bo Tu, BS2Vec: A Spatial Representation Learning Model for Large Scale Base Stations, the 24th International Conference on High Performance Computing & Communications (HPCC), Hainan, China, 2022, pp. 1661–1667.

[8] Junjun Si, Jin Yang, Zhichao Liu, Mengqi Liu, Bo Tu, Shuaifu Dai, Xiangqun Chen, A lossless compression method for CDR trajectory data, the 7h IEEE Conference on Big Data and Analytics, Guangzhou, China, 2022, pp. 10-15.

[9] Haoyu Wang, Junjun Si, Hao Li, Yao Guo, RmvDroid: towards a reliable Android malware dataset with app metadata, the 16th International Conference on Mining Software Repositories,  Montreal, QC, Canada, 2019, pp. 404-408, doi: 10.1109/MSR.2019.00067. 

[10] Xiuyu Zheng, Junjun Si, Shuaifu Dai, Blue noise sampling with a PBF-based method, in Proceedings of the 33rd Computer Graphics International, New York, USA, 2016, pp. 7780.

[11] Songchao Tan, Junjun Si, Siwei Ma, Shanshe Wang, Wen Gao, Adaptive frame level rate control in 3D-HEVC, 2014 IEEE Visual Communications and Image Processing Conference, Valletta, Malta, 2014, pp. 382-385.

[12] Junjun Si, Siwei Ma, Shiqi Wang, Wen Gao, Laplace distribution based CTU level rate control for HEVC,  2013 IEEE Visual Communications and Image Processing Conference, Nov. 2013.

[13] Junjun Si, Siwei Ma, Xinfeng Zhang, Wen Gao, Adaptive rate control for High Efficiency Video Coding, 2012 IEEE Visual Communications and Image Processing Conference, Kuching, Malaysia, 2013, pp. 1-6.

[14] Junjun Si, Siwei Ma, Wen Gao, Efficient bit allocation and CTU level rate control for High Efficiency Video Coding, 2013 PictureCodingSymposium, San Jose, CA, USA, 2013, pp. 89-92.

[15] Siwei Ma, Junjun Si, Wen Gao, A study on the rate distortion modeling for High Efficiency Video Coding, 19th IEEE International Conference on Image Processing, Orlando, FL, USA, 2012, pp. 181-184.

[16] Siwei Ma, Shiqi Wang, Qin Yu, Junjun Si, Wen Gao, Mode Dependent Coding Tools for Video Coding, IEEE Journal of Selected Topics in Signal Processing, vol. 7, no. 6, pp. 9901000, Dec. 2013. (JCR-Q1, IF=8.7) 

[17] 司俊俊,马思伟,王诗琪,高文,一种基于变换系数拉普拉斯分布的HEVC码率控制算法,上海大学学报. 上海大学学报(自然科学版), 2013, 19(3): 229234.


主持或参与项目


[1] 中华人民共和国科学技术部, 国家重点研发计划子课题, 2024YFF0907103-3, 多模态内容融合构件调优与集成, 2024-12 至 2027-11,  30万元, 在研, 主持

[2] 山东省科学技术厅, 山东省科技型中小企业创新能力提升工程项目, 2023TSGC0025, 城市居民移动模式挖掘关键技术及应用, 2023-07 至 2025-07,  20万元, 在研, 主持

[3] 中华人民共和国科学技术部, 国家重点研发计划课题, 2024YFF0907103, 基于多模态内容融合的交互式阅读技术与终端研发, 2024-12 至 2027-11,  460万元, 在研, 参与

[4] 横向项目,LED绘图软件开发,12万,在研,主持


招生要求

认真踏实,了解深度学习、熟练使用Python


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