刘家俊
刘家俊副教授主要研究方向为多媒体、计算机视觉和社交媒体中的数据挖掘、数据库、机器学习问题。他2006年于南京大学取得工学本科学位，于2012年从昆士兰大学获得博士学位，其后加入澳大利亚科学与工业研究组织任博后研究员。期间两次获得澳大利亚信息技术领域最高奖项iAwards。2015年加入中国人民大学任副教授。2006-2008年期间他在IBM中国研究院、工程院先后任研究员、工程师，曾参与当时世界上最快的超级计算机Roadrunner软件库项目。刘家俊博士于国际顶级会议和期刊上发表多篇重要论文著作，是 VLDB J，IEEE TKDE等期刊的审稿人，以及ACM Multimedia 2015, MDM 2015, APWeb 2016, PAKDD 2016 等会议的程序团成员，并且是多项中/美/澳专利的发明人。
详细>>
个人主页：https://sites.google.com/site/drjiajunliu/homepage
电子邮箱：jiajunliu AT ruc DOT edu DOT cn

详细资料

教育经历
2002-2006 南京大学 软件工程 学士
2009-2012 昆士兰大学 计算机科学 博士

工作经历
2006-2008 IBM 中国研究院、开发院 研究员，工程师
2012-2015 澳大利亚联邦科学与工业研究组织 博后研究员
2015- 中国人民大学 副教授

研究方向
社会计算 多媒体 人工智能 机器学习
欢迎对这些方向有兴趣的同学联系

讲授课程
数据结构，数据库基础

对学生的培养要求
希望学生有较强的编程能力，在科研上有较强的自主性和积极性

科研项目
人民大学科学研究基金项目：社交网络多媒体事件监测与分析
人民大学海外人才启动基金项目：互动、共识、分歧与变迁 - 社交媒体大数据与社会/政治科学的交叉研究论证
国家自然科学基金青年项目：社交网络多媒体事件检测与影响力预测方法研究
人民大学科学研究基金项目：基于多维立方体及神经网络方法的跨媒体交互式分析方法研究
国家自然科学基金重点项目：跨模态大数据实时交互式分析 （参与）
国家重点研发计划项目：基于案件集中管理的办案多维评估及检务公开技术研究 子课题：基于法律法规的司法解释文件核查关键技术研究（参与）

科研成果
部分成果：
Lianli Gao, Jingkuan Song, Xingyi Liu, Junming Shao, Jiajun Liu, Jie Shao: Learning in high-dimensional multimedia data: the state of the art. Multimedia Syst. 23(3): 303-313 (2017)
Rui Chen, Jiajun Liu: A Novel Framework for Online Sales Burst Prediction. ECML/PKDD (3) 2017: 3-14
Shuo Shang, Danhuai Guo, Jiajun Liu, Kai Zheng, Ji-Rong Wen: Finding regions of interest using location based social media. Neurocomputing 173: 118-123 (2016)
Jiajun Liu, Shuo Shang, Kai Zheng, Ji-Rong Wen: Multi-view ensemble learning for dementia diagnosis from neuroimaging: An artificial neural network approach. Neurocomputing 195: 112-116 (2016)
Shuo Shang, Danhuai Guo, Jiajun Liu, Ji-Rong Wen: Prediction-based Unobstructed Route Planning. Neurocomputing 213: 147-154 (2016)
Philipp Sommer, Branislav Kusy, Raja Jurdak, Navinda Kottege, Jiajun Liu, Kun Zhao, Adam McKeown, David Westcott: From the lab into the wild: Design and deployment methods for multi-modal tracking platforms. Pervasive and Mobile Computing 30: 1-17 (2016)
Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Jae-Gil Lee, Raja Jurdak: A Novel Framework for Online Amnesic Trajectory Compression in Resource-Constrained Environments. IEEE Trans. Knowl. Data Eng. 28(11): 2827-2841 (2016)
Philipp Sommer, Jiajun Liu, Kun Zhao, Branislav Kusy, Raja Jurdak, Adam McKeown, David Westcott: Information Bang for the Energy Buck: Towards Energy- and Mobility-Aware Tracking. EWSN 2016: 193-204
Jiajun Liu, Kun Zhao, Brano Kusy, Ji-Rong Wen, Kai Zheng, Raja Jurdak: Learning abstract snippet detectors with Temporal embedding in convolutional neural Networks. ICDE 2016: 895-905
Shuo Shang, Jiajun Liu, Kai Zheng, Hua Lu, Torben Bach Pedersen, Ji-Rong Wen: Planning unobstructed paths in traffic-aware spatial networks. GeoInformatica 19(4): 723-746 (2015)
Shuo Shang, Jiajun Liu, Kun Zhao, Mingrui Yang, Kai Zheng, Ji-Rong Wen: Dimension reduction with meta object-groups for efficient image retrieval. Neurocomputing 169: 50-54 (2015)
Shuo Shang, Kexin Xie, Kai Zheng, Jiajun Liu, Ji-Rong Wen: VID Join: Mapping Trajectories to Points of Interest to Support Location-Based Services. J. Comput. Sci. Technol. 30(4): 725-744 (2015)
Jiajun Liu, Ying Wang, Haiqing Tao: An improved matrix factorization model under multidimensional context situation. ICCC 2015: 1-6
Jiajun Liu, Kun Zhao, Saeed Khan, Mark A. Cameron, Raja Jurdak: Multi-scale population and mobility estimation with geo-tagged Tweets. ICDE Workshops 2015: 83-86
Kai Zheng, Han Su, Bolong Zheng, Shuo Shang, Jiajie Xu, Jiajun Liu, Xiaofang Zhou: Interactive Top-k Spatial Keyword queries. ICDE 2015: 423-434
Jiajun Liu, Kun Zhao, Philipp Sommer, Shuo Shang, Brano Kusy, Raja Jurdak: Bounded Quadrant System: Error-bounded trajectory compression on the go. ICDE 2015: 987-998
Jiajun Liu, Yi Yang, Zi Huang, Yang Yang, Heng Tao Shen: On the Influence Propagation of Web Videos. IEEE Trans. Knowl. Data Eng. 26(8): 1961-1973 (2014)
Shuo Shang, Danhuai Guo, Jiajun Liu, Kuien Liu: Human Mobility Prediction and Unobstructed Route Planning in Public Transport Networks. MDM (2) 2014: 43-48
Jiajun Liu, Zi Huang, HongYun Cai, Heng Tao Shen, Chong-Wah Ngo, Wei Wang: Near-duplicate video retrieval: Current research and future trends. ACM Comput. Surv. 45(4): 44:1-44:23 (2013)
Yang Yang, Zi Huang, Yi Yang, Jiajun Liu, Heng Tao Shen, Jiebo Luo: Local image tagging via graph regularized joint group sparsity. Pattern Recognition 46(5): 1358-1368 (2013)
Zi Huang, Jiajun Liu, Bin Cui, Xiaoyong Du: A Gram-Based String Paradigm for Efficient Video Subsequence Search. IEEE Trans. Multimedia 15(3): 608-620 (2013)
Qing Zhang, Mohan Karunanithi, Rajib Rana, Jiajun Liu: Determination of Activities of Daily Living of independent living older people using environmentally placed sensors. EMBC 2013: 7044-7047
Jiajun Liu, Zi Huang, Hong Cheng, Yueguo Chen, Heng Tao Shen, Yanchun Zhang: Presenting diverse location views with real-time near-duplicate photo elimination. ICDE 2013: 505-516
Wei Zhang, Li Ruan, Mingfa Zhu, Limin Xiao, Jiajun Liu, Xiaolan Tang, Yiduo Mei, Ying Song, Yuzhong Sun: SLA_Driven Adaptive Resource Allocation for Virtualized Servers. IEICE Transactions 95-D(12): 2833-2843 (2012)
Jiajun Liu, Zi Huang, Lei Chen, Heng Tao Shen, Zhixian Yan: Discovering areas of interest with geo-tagged images and check-ins. ACM Multimedia 2012: 589-598
Yang Yang, Yi Yang, Zi Huang, Jiajun Liu, Zhigang Ma: Robust cross-media transfer for visual event detection. ACM Multimedia 2012: 1045-1048
Jiajun Liu, Zi Huang, Heng Tao Shen, Xiaofang Zhou: Efficient Histogram-Based Similarity Search in Ultra-High Dimensional Space. DASFAA (2) 2011: 1-15
Zi Huang, Heng Tao Shen, Jiajun Liu, Xiaofang Zhou: Effective data co-reduction for multimedia similarity search. SIGMOD Conference 2011: 1021-1032

社会兼职
审稿人：
VLDB J, IEEE TKDE, IEEE TMM, ACM TOIS, ACM CSUR, etc.
会议程序委员：
ACM MM, MDM, PAKDD, APWEB

荣誉获奖
参与的项目两次获得由澳大利亚信息工业协会主办科技奖项iAwards
2014 年 Smarter, Safer Home 项目获澳大利亚 iAwards 奖研发类昆士兰州第二名
2013 年 Camazotz 项目获澳大利亚 iAwards 奖社区类昆士兰州第一名, 全国第二名