西安电子科技大学计算机科学与技术学院导师教师师资介绍简介-崔江涛

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基本信息
崔江涛　教授、博导、执行院长
博士学科：计算机系统结构
硕士学科：计算机系统结构
工作单位：计算机科学与技术学院

联系方式
通信地址：西安电子科技大学160＃信箱
电子邮箱：cuijt@xidian.edu.cn
办公电话：
办公地点：科技楼(老楼)A803

个人简介
崔江涛，西安电子科技大学计算机科学与技术学院教授、博士生导师。1998、2001和2005年分别在西安电子科技大学计算机学院获本科、硕士和博士学位。2007年至2008年作为国家公派访问****赴澳大利亚昆士兰大学数据与知识工程研究所从事访问研究。2018年入选陕西省高等学校教学名师，2020年入选陕西省特支计划领军人才。享受国务院政府特殊津贴，入选第八届教育部科学技术委员会学部委员。
现任计算机科学与技术学院(国家示范性软件学院)执行院长、校学术委员会委员，计算机科学与技术专业负责人、数据科学与知识工程学科方向带头人。是中国计算机学会（CCF）杰出会员、CCF理事、ACM/IEEE Member。担任CCF数据库专委会委员、大数据专委会委员、区块链专委会委员、教育工委委员，中国工程教育专业认证骨干专家，教育部高等学校计算机类专业教学指导委员会“网络工程专业教学指导工作组”副组长，高校在线开放课程联盟联席会工作组成员，信息技术新工科产学研联盟理事、陕西省计算机教育学会副理事长等。主持获得陕西省自然科学奖二等奖一项，陕西省教学成果奖一等奖两项。

主要经历
1998年，获得西安电子科技大学计算机学院工学学士学位。
2001年，获得西安电子科技大学计算机学院工学硕士学位。
2005年，获得西安电子科技大学计算机学院工学博士学位。
2004年至2006年，西安电子科技大学计算机科学与技术学院讲师。
2006年至2011年，西安电子科技大学计算机科学与技术学院副教授。
2007年至2008年，作为国家公派访问****赴澳大利亚昆士兰大学数据与知识工程研究所从事访问研究。
2011年至今，西安电子科技大学计算机科学与技术学院教授。
2011年至2013年，计算机科学与技术学院院长助理。
2013年至2018年，计算机科学与技术学院副院长。
2018年至今，计算机科学与技术学院执行院长。

研究领域
1、数据库管理与内核技术
2、时空数据管理-位置推荐与选址问题
3、基于哈希的大规模视觉搜索
4、区块链数据管理

团队主页
http://des.xidian.edu.cn/

新闻动态
? 博士生王蒙的论文“FROST: Movement History-conscious Facility Relocation”被国际期刊 ACM Transactions on Intelligent Systems and Technology全文接收！
? 硕士生李丹论文“k-Collective Influential Facility Placement over Moving Objects”获第20届IEEE International Conference on Mobile Data Magement会议最佳论文奖。
? 博士生冯小康论文“基于最优排序的局部敏感哈希索引”获第35届中国数据库学生会议(NDBC 2018)萨师煊优秀论文奖、最佳论文提名奖。
? 硕士生薛文卓论文“Secure k Nearest Neighbors Query for High-dimensional Vectors in Outsourced Environments” 被IEEE TBD全文接受！
? 2014届毕业生刘英帆同学获第三届“工程硕士实习实践优秀成果奖”，获奖日期2016.11.15，全国共100名专业学位研究生获奖！
? 博士生王蒙的论文“PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects”被数据管理与挖掘领域顶级期刊IEEE TKDE全文接收！

学术论文
近期发表的部分论文包括：
Jingyuan Yang, Jiangtao Cui, Yu-dong Wang,Artificial bee colony algorithm with adaptive covariance matrix for hearing loss detection, Knowledge based systems, 2021
Yanni Li, Bing Liu, Zhi Wang, Jiangtao Cui, Kaicheng Yao, Pengfan Lv, Yulong Shen, Yuesheng Xu, Yuanfang Guan and Xiaoke Ma, COVID-19 Envolves in Human Hosts, SIGKDD 2020-AI For COVID-19
冯小康, 彭延国, 崔江涛*, 刘英帆, 李辉. 基于最优排序的局部敏感哈希索引. 计算机学报. 2020, 5 .
Li, Yanni; Li, Hui; Wang, Zhi; Liu, Bing; Cui, Jiangtao*; Fei, Hang, ESA-Stream: Efficient Self-Adaptive Online Data Stream Clustering (IEEE TKDE),2020, doi:10.1109/TKDE.2020.**[CCF Rank A]
Peng Yanguo, Wang Long, Cui Jiangtao, Liu Ximeng*, Li Hui, Ma Jianfeng.LS-RQ: A lightweight and forward-secure range query on geographically encrypted data.IEEE Transactions on Dependable and Secure Computing (IEEE TDSC). 2020, to appear.doi: 10.1109/TDSC.2020.**. [JCR Q1, 中科院II区, CCF Rank A]
Wang Weiguo, Li Hui,Peng Yanguo, Sourav S Bhowmick, Chen Peng, Chen Xiaofeng, Cui Jiangtao.SCALE: An Efficient Framework for Secure Dynamic Skyline Query Processing in the Cloud.In The 25th International Conference on Database Systems for Advanced Applications (DASFAA). 2020 (EI, CCF Rank B).
He Bing, Cui Jiangtao*,Peng Yanguo, Yang Tengfei.Image Analysis by Fast Improved Radial Harmonic-Fourier Moments Algorithm.International Journal of Imaging Systems and Technology. 2020, to appear.doi: 10.1002/ima.22426(JCR Q2, 中科院IV区).
Meng Wang, Hui Li, Jiangtao Cui*, Sourav S Bhowmick, Ping Liu. FROST: Movement History-conscious Facility Relocation. ACM Transactions on Intelligent Systems and Technology. 2019.to appear [JCR Q2]
Bing He, Jiangtao Cui*, Yanguo Peng.Walsh orthogonal moments for efficiently reducing Gibbs noise in image reconstruction.2nd International conference on Image, Video Processing and Artificial Intelligence (IVPAI2019). to appear.
He Bing, Cui Jiangtao*, Xiao Bin, Peng Yanguo. Image Analysis Using Modified Exponent-Fourier moments. EURASIP Journal on Image and Video Processing. 2019, to appear. (JCR Q4)
Dan Li, Hui Li, Meng Wang, Jiangtao Cui. k-Collective Influential Facility Placement over Moving Objects. The 20th IEEE International Conference on Mobile Data Management (MDM). Hong Kong, China. 10-13 June 2019, to appear.
何冰, 崔江涛^*, 肖斌, 彭延国. 参数可调的通用半正交图像矩模型. 中国图像图形学报. 2019. (To appear)
Xiaokang Feng, Jiangtao Cui, Hui Li, Yingfan Liu. An Efficient LSH Indexing on Discriminative Short Codes for High-dimensional Nearest Neighbors. Multimedia Tools and Applications. 2019. (To appear) [CCF Rank C]
Jiangtao Cui, Meng Wang, Hui Li, Yang Cai. Place Your Next Branch with MILE-RUN: Min-dist Location Selection over User Movement. Information Sciences. 2018, 463-464: 1-20. [CCF Rank B, JCR Q2]
Hui Li, Ke Deng, Jiangtao Cui, Zhenhua Dong, Jianfeng Ma, Jianbin Huang. Hidden Community Identification in Location-based Social Network via Probabilistic Venue Sequences. Information Sciences. 2018, 422: 188-203. [CCF Rank B, JCR Q2]
Wenzhuo Xue, Hui Li, Yanguo Peng, Jiangtao Cui^*, Yu Shi. Secure k Nearest Neighbors Query for High-dimensional Vectors in Outsourced Environments. IEEE Transactions on Big Data. 2018, 4(4): 586-599.
Yanguo Peng, Hui Li, Jiangtao Cui^*, Jianfeng Ma, Yingfan Liu. Towards Secure Approximate k-Nearest Neighbor Query over Encrypted High-dimensional Data. IEEE Access. 2018, 6: 23137-23151. [JCR Q2]
Bing He, Jiangtao Cui^*. Weighted Spherical Bessel–Fourier Image Moments. Cluster Computing. 2018. (To appear) [CCF Rank C]
Bing He, Jiangtao Cui, Bin Xiao, Xuan Wang. Image Analysis by two types of Franklin-Fourier Moments. IEEE/CAA Journal of Automatica Sinica. 2018. (To appear)
吴瑾, 彭延国, 崔江涛^*. 基于局部敏感哈希的安全相似性查询方案. 密码学报. 2018, 5(2): 196-205.
Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S Bhowmick, Zhenhua Dong. PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects [Extended Abstract]. IEEE ICDE. 2017, 21-22. [CCF rank A]
Yingfan Liu, Hong Cheng, Jiangtao Cui. PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. CIKM. 2017: 667-676. [CCF Rank B]
Yanguo Peng, Jiangtao Cui, Hui Li, Jianfeng Ma. A Reusable and Single-Interactive Model for Secure Approximate k-Nearest Neighbor Query in Cloud. Information Sciences. 2017, 387: 146-164. [CCF Rank B]
Yanguo Peng, Hui Li, Jiangtao Cui^*, Junwei Zhang, Jianfeng Ma, Changgen Peng. hOPE: Improved Order Preserving Encryption with the Power to Homomorphic Operations of Ciphers. SCIENCE CHINA Information Sciences. 2017, 60(6): 062101:1–062101:17. [CCF rank B]
Xiaokang Feng, Jiangtao Cui^*, Yingfan Liu, Hui Li. Effective Optimizations of Cluster-Based Nearest Neighbor Search in High-dimensional Space. Multimedia Systems. 2017, 23(1): 139-153. [CCF Rank C]
Hui Li, Sourav S Bhowmick, Jiangtao Cui, Jianfeng Ma. Time is What Prevents Everything from Happening at Once: Propagation Time-conscious Influence Maximization. CoRR, 2017, https://arxiv.org/abs/1705.10977.
Xue Meng, Hui Li, Jiangtao Cui. Different Strategies for Differentially Private Histogram Publication. Journal of Communications and Information Networks. 2017, 2(3): 68-77.
Meng Wang, Hui Li, Jiangtao Cui^*, Ke Deng, Sourav S Bhowmick, Zhenhua Dong. PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects. IEEE TKDE, 2016, 28(11): 3068-3082. [CCF Rank A, JCR Q2]
Hui Li, Jiangtao Cui, Bingqing Shen, Jianfeng Ma. An Intelligent Movie Recommendation System through Group-level Sentiment Analysis in Microblogs. Neurocomputing. 2016, 210: 164-173. [CCF Rank B, JCR Q2]
Xiaoyu Zhang, Manlin Wang, Jiangtao Cui^*. Efficient indexing of binary LSH for high dimensional nearest neighbor. Neurocomputing. 2016, 213: 24-33. [CCF Rank B, JCR Q2]
Miaomiao Cui, Jiangtao Cui, Hui Li. Dimensionality Reduction for Histogram Features: A Distance-adaptive Approach. Neurocomputing. 2016, 173: 181-195. [CCF Rank B, JCR Q2]
Zuobin Ying, Hui Li, Jianfeng Ma, Junwei Zhang, Jiangtao Cui. Adaptively Secure Ciphertext-Policy Attribute-Based Encryption with Dynamic Policy Updating. SCIENCE CHINA Information Sciences. 2016, 59: 042701:1-042701:16. [CCF rank B]
Hui Li, Jiangtao Cui, Xiaobin Lin, Jianfeng Ma. Improving the Utility in Differential Private Histogram Publishing: Theoretical Study and Practice. IEEE International Conference on Big Data. 2016, 1100-1109.
Hui Li, Sourav S Bhowmick, Jiangtao Cui, Yunjun Gao, Jianfeng Ma, GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks. SIGMOD. 2015: 1525-1537. [CCF Rank A]
Hui Li, Sourav S Bhowmick, Aixin Sun, Jiangtao Cui. Conformity-aware Influence Maximization in Online Social Networks. The VLDB Journal. 2015, 24(1): 117-141. [CCF Rank A, JCR Q1]
Jiangtao Cui*, Miaomiao Cui, Bin Xiao, Guangxin Li. Compact and Discriminative Representation of Bag-of-Features. Neurocomputing. 2015, 169: 55-67. [CCF Rank B, JCR Q2]
Hui Li, Jiangtao Cui, Jianfeng Ma. Social Influence Study in Online Networks: A Three Level Review. Journal of Computer Science and Technology (JCST). 2015, 30(1): 184-199. [CCF Rank B]
Yingfan Liu, Jiangtao Cui, Zi Huang, Hui Li, Hengtao Shen. SK-LSH: An Efficient Index Structure for Approximate Nearest Neighbor Search. VLDB. 2014, 7(9): 745-756. [CCF Rank A]
Hui Li, Sourav S Bhowmick, Aixin Sun, Jiangtao Cui. Affinity-driven Blog Cascade Analysis and Prediction. Data Mining and Knowledge Discovery. 2014, 28(2): 442-474. [CCF Rank B, JCR Q1]
Yanguo Peng, Jiangtao Cui, Changgen Peng, Zuobin Ying. Certificateless Public Key Encryption with Keyword Search. China Communications. 2014, 11(11): 100-113.
Xiaofeng Zhu, Zi Huang, Hong Cheng, Jiangtao Cui, Hengtao Shen. Sparse Hashing for Fast Multimedia Search. ACM Transactions on Information System. 2013, 31(2): 9. [CCF Rank A, JCR Q2]
Shuisheng Zhou, Jiangtao Cui, Feng Ye, Hongwei Liu, Qiang Zhu. New Smoothing SVM Algorithm with Tight Error Bound and Efficient Reduced Techniques. Computational Optimization and Applications. 2013, 56(3): 599-617. [JCR Q1]
Jiangtao Cui, Zi Huang, Bo Wang, Yingfan Liu. Near-optimal Partial Linear Scan for Nearest Neighbor Search in High-dimensional Space. The 18th International Conference on Database Systems for Advanced Applications (DASFAA). 2013: 101-115. [CCF Rank B]
Xiaofeng Zhu, Zi Huang, Jiangtao Cui, Hengtao Shen. Video-to-Shot Tag Propagation by Graph Sparse Group Lasso. IEEE Transactions on Multimedia. 2013, 15(3): 633-646. [CCF Rank B, JCR Q1]
Jiangtao Cui, Yingfan Liu, Hui Li. Efficient Nearest Neighbor Search for Visual Features Based on Hyperplane Bounds. IEEE International Conference on Image Processing (ICIP). 2013. [CCF Rank C]
Bin Xiao, Jianfeng Ma, Jiangtao Cui. Combined Blur, Translation, Scale and Rotation Invariant Image Recognition by Radon and Pseudo Fourier-Mellin Transforms. Pattern Recognition. 2012, 45(1): 314-321. [CCF Rank B, JCR Q1]
Bin Xiao, Jianfeng Ma, Jiangtao Cui. Radial Tchebichef Moment Invariants for Image Recognition. Journal of Visual Communication and Image Representation. 2012, 23(2): 381-386. [CCF Rank B, JCR Q2]
刘英帆， 崔江涛. 基于联合聚类的超立方体高维索引.计算机科学与探索(DNBC 2012). 2012, 6(11): 1007-1018.
Jiangtao Cui, Jianxin Tang, Lian Jiang. Efficient Multi-resolution Histogram Matching for Bag-of-Features. International Conference on Image and Graphics (ICIG). 2011: 406-411.
Bin Xiao, Jianfeng Ma, Jiangtao Cui. Invariant Image Recognition Using Radial Jacobi Moment Invariants. International Conference on Image and Graphics (ICIG). 2011: 280-285.
崔江涛, 李凤华, 肖斌, 詹海生. 高维数据集合的空间区域描述与快速匹配. 计算机研究与发展(NDBC 2011). 2011, 48(S): 124-131.
Jiangtao Cui, Zhiyong An, Yong Guo, Shuisheng Zhou. Efficient Nearest Neighbor Query Based on Extended B+-tree in High-dimensional Space. Pattern Recognition Letters. 2010, 31(12):1740-1748. [CCF Rank C, JCR Q2]
Jiangtao Cui, Bin Xiao, Zhiliang Yin. Speed up Linear Scan in High-dimensions Using Extended B+-tree. International IEEE workshop on Database Technology and Application (DBTA). 2010: 1-4.
崔江涛, 李凤华, 马建峰. 基于子空间三角不等式的高维码字搜索算法. 电子学报. 2010, 39(4): 940-945, 962.
崔江涛, 肖斌, 詹海生. 面向高维数据集的近邻顺序查询方法. 计算机科学与探索(NDBC 2010). 2010, 4(9): 840-849.
崔江涛, 郭勇, 周水生. 一种基于椭圆体聚类的高维索引方法. 模式识别与人工智能. 2010,12(4): 483-490.
Jiangtao Cui, Shuisheng Zhou, Junding Sun. Efficient High-dimensional Indexing by Sorting Principal Component. Pattern Recognition Letters. 2007, 28(12): 2412-2418. [CCF Rank C, JCR Q2]
Jiangtao Cui, Shuisheng Zhou, Shan Zhao. PCR-tree: A Compression-based Index Structure for Similarity Searching in High-dimensional Image Databases. International Conference on Fuzzy Systems and Knowledge Discovery. 2007: 395-400.
Junding Sun, Ximin Zhang, Jiangtao Cui, Lihua Zhou. Image Retrieval Based on Color Distribution Entropy. Pattern Recognition Letters. 2006, 27(10): 1122-1126. [CCF Rank C, JCR Q2]

科研团队
团队教师
李辉博士，教授。2005年于哈尔滨工业大学计算机科学与技术学院获得本科学位，并分别于2007年和2012年在新加坡南洋理工大学获得硕士和博士学位，主要研究方向包括数据挖据，保护隐私的数据查询和检索等。入选西安电子科技大学华山****菁英人才计划，在社交网络的知识发现和挖掘、安全的数据查询等领域取得了较有影响的研究成果，相关成果发表在数据管理、数据挖掘领域顶级会议SIGMOD, SIGKDD, VLDB, ICDE, INFOCOM, EDBT, CIKM和期刊VLDB J, TKDE, DMKD, JASIST, INFORMATION SCIENCES上，曾获得2015年度ACMSIGMOD最佳论文奖提名。
彭延国 博士, 副教授。2009年于中北大学网络工程专业获得学士学位。2012年于贵州大学获得计算机软件与理论专业硕士学位。2016年于西安电子科技大学获得计算机系统结构专业博士学位。目前是IEEE、ACM、CCF、CACR学会会员。主持国家自然科学基金(青年基金)1项、中国博士后科学基金1项、陕西省自然科学计划1项、中央高校基本科研业务费2项，研究领域涵盖数据安全管理、分布式数据库、区块链技术等。在国内外主流期刊和会议上共发表学术论文10余篇，包括TPDS、Info. Sci.、IEEE Trans. on Big Data、计算机学报、密码学报等。获得2019年陕西高等学校科学技术奖一等奖(5/5)、2018年第35届中国数据库学术会议(NDBC 2018)萨师煊优秀论文奖(2/5)、2016年全国科技工作者创新创业大赛金奖(9/10)等。
夏小芳 博士，师资博士后，讲师。2012年于湘潭大学建筑电气及其智能化专业获得学士学位。2019年于中国科学院沈阳自动化研究所获得控制理论与控制工程专业博士学位。2016年8月至2018年2月获国家留学基金委资助，赴美国阿拉巴马大学计算机系联合培养。目前是IEEE、ACM、CCF学会会员。主要研究领域为信息物理系统、智能电网数据安全、智能交通系统、隐私保护等。主持国家自然科学基金青年基金1项，中国博士后科学基金站前特别资助1项，中国博士后科学基金面上项目（二等资助）1项，中央高校基本科研业务费1项。在网络与信息安全领域著名刊物TIFS, TNSE, Computers & Security, The Computer Journal以及通信领域旗舰会议IEEEICC上发表论文10余篇。目前申请国家发明专利6项，其中2项已获得授权。
刘英帆 博士，讲师。2011年于西安电子科技大学计算机科学与技术专业获得学士学位。2014年于西安电子科技大学计算机技术专业获得硕士学位。2019年于香港中文大学系统工程与工程管理专业获得博士学位。主要研究领域为高维数据检索和复杂数据管理。主持国家自然科学基金(青年基金)1项，在国内外主流期刊和会议上共发表论文数篇，包括VLDB、Info. Sci.和CIKM等。2016年获得第三届工程硕士实习实践优秀成果奖。
高熙越，博士，讲师，2014年于山东大学电气工程及其自动化专业获得学士学位，2020年于武汉大学通信与信息系统专业获得博士学位。主要研究领域为社会网络分析、推荐系统、多模态知识图谱、智能运维系统等。在国内外主流期刊和会议上共发表论文数篇，包括IPM、Neurocomputing和MMM等，同时已经申请国家发明专利2项。
博士毕业生
彭延国，应作斌(马建峰合作指导)，王蒙，何冰，冯小康
博士研究生
侯勇超，朱怡潇，王玉超，刘洋，王智彬，杨静媛，蔡震（工程博士）
硕士研究生
王馨艺，刘平，周玉舒，肖阳，王腾宇
李鑫，季汉禹，牛东尧，蔺健，章嘉炜
贾倩楠，赵溪羽，赖锦淘，宋超伟，黄麓源，刘宗泱，牛晓银、韩羽

毕业学生就业情况
2008级 郭勇(深圳万兴科技)
2009级 唐建鑫(西安华为)，孙远(南京28所)，金鑫(安慧软件)，胡吉兴(河南南阳理工学院)
2010级 蒋莲(北京百度)，李林(北京航天4院)，王博(西安771所)，张佳琦(西安20所)，张国良(西电教工)
2011级 刘英帆(香港中文)，王阳(西安华为)，汪鹏(广东核电)，毕源良(公务员烟台)
2012级 陈煜(深圳大疆)，原玥(北京Oracle)，崔苗苗(杭州阿里巴巴)，崔小利(公务员郑州)，彭延国博士(西电教师)，应作斌博士（安徽大学教师）
2013级 冯小康(西电博士)，史雨(深圳腾讯)，杨阳(上海腾讯)，王毅凡(公务员北京)，刘泽民(杭州阿里)，王蒙(西安工程大学教师)，张力月（西电教工）
2014级 郭宗义(杭州网易)，宋贤波(公务员西安地税)，罗夏君、张晓雨、王蔓琳(北京百度)，王凌霄(西电教工)
2015级 张家瑞(北京今日头条), 蔡洋、李健(北京美团)，吕鑫(日照银监局)，王磊(东北大学)，焦文菲(北京小米)，刘畅(西安631所)，薛文卓(西安华为)
2016级周密（杭州阿里）、魏志伟（北京陌陌）、邓硕玮（西安华为）、赵雪媛（西安华为）、吴瑾（杭州蚂蚁金服）、王超（北京百度）、刘易斯（北京网心科技）、余奇颖（北京小米）、赵锦波（北京搜狗）
2017级刘嘉煜（腾讯音乐）、赵杰（阿里巴巴）、李胜东（字节跳动）、王鹤（电科五十四所）、王龙（猿辅导）

招生要求
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关于研究生招生的信息：
~~~~~~~~~~~~~~~~~~~~~~~~~~
硕士研究生招生人数：4～6人/年。分类培养：1）科研项目研发 2）学术及算法研究
：掌握基本的计算机知识体系结构(编程与算法；数据结构与数据库；从计算机系统结构到汇编、编译；数字信号处理、图像处理)；具备刻苦钻研、勤于琢磨的精神；良好、开朗的心态和善于合作的精神。
博士研究生招生人数：1～2人/年。主要从事学术及算法研究
：良好的英文写作能力；熟练掌握一类数学分析方法；算法设计与实现能力；能够到国外交流学习至少1年

Profile
Dr. Jiangtao Cui
Professor, Ph.D supervisor,
The Executive Dean of the School of Computer Science and Technology, Xidian University

Contact Information
Address: No. 2, Taibai South Road, Yanta District, Xi'an City, Shaanxi, China
Email: cuijt@xidian.edu.cn
Tel:

Short Bio
Jiangtao Cui was born in Pingdu, Shandong Province, China in 1975. He received his Bachelor, Master and Ph.D. Degrees in Computer Science from Xidian University, Xi’an, China, in 1998, 2001 and 2005, respectively. From 2007 to 2008, he was a Postdoctoral Fellow in Dr. Heng Tao SHEN’s Data and Knowledge Engineering Lab, School of Information Technology & Electrical Engineering at the University of Queensland, Brisbane, Australia.
In 2001, Dr. Jiangtao Cui joined Xidian University. In 2006, he was promoted as an Associate Professor of the School of Computer Science and Technology. Since 2011, he has been a Full Professor and a Ph.D. student supervisor. From 2012 to 2018, he was the Vice Dean of the School of Computer Science and Technology. Currently, he is the Executive Dean of the School of Computer Science and Technology, the Director of the National Experimental Demonstration Center of Computer Network and Information Security, the Head of the National First-class Discipline of Computer Science and Technology, the Leader of Data Science and Knowledge Engineering Field, and the Deputy Head of the 2018-2022 Network Engineering Working Group of Teaching Guidance Committee for the Computer Science Major in Higher Educational Institutions. He was awarded with the Shaanxi Outstanding Teacher (2018), the first prize of Shaanxi Higher Education Teaching Achievement (2017, ranked first), the second prize of Shaanxi Higher Education Teaching Achievement (2015, ranked second), and the first prize of Science and Technology Award of Shaanxi Higher Educational Institutions (2019, ranked first).
Dr. Jiangtao Cui’s research interests mainly include complex data query and indexing, data security and privacy preserving and blockchain application technology. In these fields, he has published more than 50 academic papers in top-level conferences and important international academic journals, including IEEE International Conference on Data Engineering (ICDE), ACM SIGMOD International Conference on Management of Data (SIGMOD), International Conference on Very Large Data Bases (VLDB), IEEE Transactions on Knowledge and Data Engineering (TKDE), The VLDB Journal, Information Science, etc. His research has been supported by Natural Science Foundation of China (NSFC), Scientific Research Foundation for the Returned Overseas Chinese Scholars, the Fundamental Research Funds for the Central Universities. He serves as a grant reviewer for NSFC and the Scientific Research Foundation for the Returned Overseas Chinese Scholars. He also has served as a PC member for more than 10 academic conferences including 2016 ACM Multimedia Conference (ACM MM 2016). In addition, he is a Distinguished Member of China Computer Federation (CCF), a Member of CCF Council,a Member of ACM/IEEE, a Member of CCF Education Committee, a Member of CCF Database Special Committee and Computer Application Special Committee, an Expert in Engineering Education, and Vice Chairman of the Council of Computer Education in Shaanxi Province.

Research Interests
1. Complex Data Query and Indexing；
2. Data Security and Privacy Preserving；
3. Blockchain Application Technology.

Publications
Selected RecentPapers：
Meng Wang, Hui Li, Jiangtao Cui*, Sourav S Bhowmick, Ping Liu. FROST: Movement History-conscious Facility Relocation. ACM Transactions on Intelligent Systems and Technology. 2019.to appear [JCR Q2]
Bing He, Jiangtao Cui*, Yanguo Peng.Walsh orthogonal moments for efficiently reducing Gibbs noise in image reconstruction.2nd International conference on Image, Video Processing and Artificial Intelligence (IVPAI2019). to appear.
He Bing, Cui Jiangtao*, Xiao Bin, Peng Yanguo. Image Analysis Using Modified Exponent-Fourier moments. EURASIP Journal on Image and Video Processing. 2019, to appear. (JCR Q4)
Dan Li, Hui Li, Meng Wang, Jiangtao Cui. k-Collective Influential Facility Placement over Moving Objects. The 20th IEEE International Conference on Mobile Data Management (MDM). Hong Kong, China. 10-13 June 2019, to appear.
Xiaokang Feng, Jiangtao Cui, Hui Li, Yingfan Liu. An Efficient LSH Indexing on Discriminative Short Codes for High-dimensional Nearest Neighbors. Multimedia Tools and Applications. 2019. (To appear) [CCF Rank C]
Jiangtao Cui, Meng Wang, Hui Li, Yang Cai. Place Your Next Branch with MILE-RUN: Min-dist Location Selection over User Movement. Information Sciences. 2018, 463-464: 1-20. [CCF Rank B, JCR Q2]
Hui Li, Ke Deng, Jiangtao Cui, Zhenhua Dong, Jianfeng Ma, Jianbin Huang. Hidden Community Identification in Location-based Social Network via Probabilistic Venue Sequences. Information Sciences. 2018, 422: 188-203. [CCF Rank B, JCR Q2]
Wenzhuo Xue, Hui Li, Yanguo Peng, Jiangtao Cui^*, Yu Shi. Secure k Nearest Neighbors Query for High-dimensional Vectors in Outsourced Environments. IEEE Transactions on Big Data. 2018, 4(4): 586-599.
Yanguo Peng, Hui Li, Jiangtao Cui^*, Jianfeng Ma, Yingfan Liu. Towards Secure Approximate k-Nearest Neighbor Query over Encrypted High-dimensional Data. IEEE Access. 2018, 6: 23137-23151. [JCR Q2]
Bing He, Jiangtao Cui^*. Weighted Spherical Bessel–Fourier Image Moments. Cluster Computing. 2018. (To appear) [CCF Rank C]
Bing He, Jiangtao Cui, Bin Xiao, Xuan Wang. Image Analysis by two types of Franklin-Fourier Moments. IEEE/CAA Journal of Automatica Sinica. 2018. (To appear)
Meng Wang, Hui Li, Jiangtao Cui, Ke Deng, Sourav S Bhowmick, Zhenhua Dong. PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects [Extended Abstract]. IEEE ICDE. 2017, 21-22. [CCF rank A]
Yingfan Liu, Hong Cheng, Jiangtao Cui. PQBF: I/O-Efficient Approximate Nearest Neighbor Search by Product Quantization. CIKM. 2017: 667-676. [CCF Rank B]
Yanguo Peng, Jiangtao Cui, Hui Li, Jianfeng Ma. A Reusable and Single-Interactive Model for Secure Approximate k-Nearest Neighbor Query in Cloud. Information Sciences. 2017, 387: 146-164. [CCF Rank B]
Yanguo Peng, Hui Li, Jiangtao Cui^*, Junwei Zhang, Jianfeng Ma, Changgen Peng. hOPE: Improved Order Preserving Encryption with the Power to Homomorphic Operations of Ciphers. SCIENCE CHINA Information Sciences. 2017, 60(6): 062101:1–062101:17. [CCF rank B]
Xiaokang Feng, Jiangtao Cui^*, Yingfan Liu, Hui Li. Effective Optimizations of Cluster-Based Nearest Neighbor Search in High-dimensional Space. Multimedia Systems. 2017, 23(1): 139-153. [CCF Rank C]
Hui Li, Sourav S Bhowmick, Jiangtao Cui, Jianfeng Ma. Time is What Prevents Everything from Happening at Once: Propagation Time-conscious Influence Maximization. CoRR, 2017, https://arxiv.org/abs/1705.10977.
Xue Meng, Hui Li, Jiangtao Cui. Different Strategies for Differentially Private Histogram Publication. Journal of Communications and Information Networks. 2017, 2(3): 68-77.
Meng Wang, Hui Li, Jiangtao Cui^*, Ke Deng, Sourav S Bhowmick, Zhenhua Dong. PINOCCHIO: Probabilistic Influence-based Location Selection over Moving Objects. IEEE TKDE, 2016, 28(11): 3068-3082. [CCF Rank A, JCR Q2]
Hui Li, Jiangtao Cui, Bingqing Shen, Jianfeng Ma. An Intelligent Movie Recommendation System through Group-level Sentiment Analysis in Microblogs. Neurocomputing. 2016, 210: 164-173. [CCF Rank B, JCR Q2]
Miaomiao Cui, Jiangtao Cui, Hui Li. Dimensionality Reduction for Histogram Features: A Distance-adaptive Approach. Neurocomputing. 2016, 173: 181-195. [CCF Rank B, JCR Q2]
Zuobin Ying, Hui Li, Jianfeng Ma, Junwei Zhang, Jiangtao Cui. Adaptively Secure Ciphertext-Policy Attribute-Based Encryption with Dynamic Policy Updating. SCIENCE CHINA Information Sciences. 2016, 59: 042701:1-042701:16. [CCF rank B]
Hui Li, Jiangtao Cui, Xiaobin Lin, Jianfeng Ma. Improving the Utility in Differential Private Histogram Publishing: Theoretical Study and Practice. IEEE International Conference on Big Data. 2016, 1100-1109.
Hui Li, Sourav S Bhowmick, Jiangtao Cui, Yunjun Gao, Jianfeng Ma, GetReal: Towards Realistic Selection of Influence Maximization Strategies in Competitive Networks. SIGMOD. 2015: 1525-1537. [CCF Rank A]
Hui Li, Sourav S Bhowmick, Aixin Sun, Jiangtao Cui. Conformity-aware Influence Maximization in Online Social Networks. The VLDB Journal. 2015, 24(1): 117-141. [CCF Rank A, JCR Q1]
Jiangtao Cui*, Miaomiao Cui, Bin Xiao, Guangxin Li. Compact and Discriminative Representation of Bag-of-Features. Neurocomputing. 2015, 169: 55-67. [CCF Rank B, JCR Q2]
Hui Li, Jiangtao Cui, Jianfeng Ma. Social Influence Study in Online Networks: A Three Level Review. Journal of Computer Science and Technology (JCST). 2015, 30(1): 184-199. [CCF Rank B]
Yingfan Liu, Jiangtao Cui, Zi Huang, Hui Li, Hengtao Shen. SK-LSH: An Efficient Index Structure for Approximate Nearest Neighbor Search. VLDB. 2014, 7(9): 745-756. [CCF Rank A]
Hui Li, Sourav S Bhowmick, Aixin Sun, Jiangtao Cui. Affinity-driven Blog Cascade Analysis and Prediction. Data Mining and Knowledge Discovery. 2014, 28(2): 442-474. [CCF Rank B, JCR Q1]
Yanguo Peng, Jiangtao Cui, Changgen Peng, Zuobin Ying. Certificateless Public Key Encryption with Keyword Search. China Communications. 2014, 11(11): 100-113.
Xiaofeng Zhu, Zi Huang, Hong Cheng, Jiangtao Cui, Hengtao Shen. Sparse Hashing for Fast Multimedia Search. ACM Transactions on Information System. 2013, 31(2): 9. [CCF Rank A, JCR Q2]
Shuisheng Zhou, Jiangtao Cui, Feng Ye, Hongwei Liu, Qiang Zhu. New Smoothing SVM Algorithm with Tight Error Bound and Efficient Reduced Techniques. Computational Optimization and Applications. 2013, 56(3): 599-617. [JCR Q1]
Jiangtao Cui, Zi Huang, Bo Wang, Yingfan Liu. Near-optimal Partial Linear Scan for Nearest Neighbor Search in High-dimensional Space. The 18th International Conference on Database Systems for Advanced Applications (DASFAA). 2013: 101-115. [CCF Rank B]
Xiaofeng Zhu, Zi Huang, Jiangtao Cui, Hengtao Shen. Video-to-Shot Tag Propagation by Graph Sparse Group Lasso. IEEE Transactions on Multimedia. 2013, 15(3): 633-646. [CCF Rank B, JCR Q1]
Jiangtao Cui, Yingfan Liu, Hui Li. Efficient Nearest Neighbor Search for Visual Features Based on Hyperplane Bounds. IEEE International Conference on Image Processing (ICIP). 2013. [CCF Rank C]
Bin Xiao, Jianfeng Ma, Jiangtao Cui. Combined Blur, Translation, Scale and Rotation Invariant Image Recognition by Radon and Pseudo Fourier-Mellin Transforms. Pattern Recognition. 2012, 45(1): 314-321. [CCF Rank B, JCR Q1]
Bin Xiao, Jianfeng Ma, Jiangtao Cui. Radial Tchebichef Moment Invariants for Image Recognition. Journal of Visual Communication and Image Representation. 2012, 23(2): 381-386. [CCF Rank B, JCR Q2]
Jiangtao Cui, Jianxin Tang, Lian Jiang. Efficient Multi-resolution Histogram Matching for Bag-of-Features. International Conference on Image and Graphics (ICIG). 2011: 406-411.
Bin Xiao, Jianfeng Ma, Jiangtao Cui. Invariant Image Recognition Using Radial Jacobi Moment Invariants. International Conference on Image and Graphics (ICIG). 2011: 280-285.
Jiangtao Cui, Zhiyong An, Yong Guo, Shuisheng Zhou. Efficient Nearest Neighbor Query Based on Extended B+-tree in High-dimensional Space. Pattern Recognition Letters. 2010, 31(12):1740-1748. [CCF Rank C, JCR Q2]
Jiangtao Cui, Bin Xiao, Zhiliang Yin. Speed up Linear Scan in High-dimensions Using Extended B+-tree. International IEEE workshop on Database Technology and Application (DBTA). 2010: 1-4.
Jiangtao Cui, Shuisheng Zhou, Junding Sun. Efficient High-dimensional Indexing by Sorting Principal Component. Pattern Recognition Letters. 2007, 28(12): 2412-2418. [CCF Rank C, JCR Q2]
Jiangtao Cui, Shuisheng Zhou, Shan Zhao. PCR-tree: A Compression-based Index Structure for Similarity Searching in High-dimensional Image Databases. International Conference on Fuzzy Systems and Knowledge Discovery. 2007: 395-400.
Junding Sun, Ximin Zhang, Jiangtao Cui, Lihua Zhou. Image Retrieval Based on Color Distribution Entropy. Pattern Recognition Letters. 2006, 27(10): 1122-1126. [CCF Rank C, JCR Q2]

Team
Faculties:
Dr. Hui Li is currently a professor with the School of Cyber Engineering, Xidian University, and is a member of The State Key Laboratory of Integrated Services Network. He obtained the B.E degree from Harbin Institute of Technology in 2005, and Ph.D degree from Nanyang Technological University in 2012. Under the supervision of Associate Prof. Sourav S. Bhowmick, Dr Li used to be a member of Centre of Advanced Information Systems (renamed as DISCO now) during 2007 to 2011. His research interests includes social computing, knowledge discovery, graph mining and data privacy in big data. Many of his papers appear in major international conferences including VLDB, SIGMOD, SIGKDD, ICDE, INFOCOM, CIKM, EDBT, and journals like TKDE, VLDB J, DMKD, JASIST, INF. SCI. and etc. He have been nominated as the Best Paper Award in ACM SIGMOD 2015!
Dr. Yanguo Pengis currently a lecturer with the School of Computer Science and Technology, Xidian University, China.He received the B.Sc. degree in Network Engineering from North University of China, Taiyuan, China, in 2009, M.S. degree in Computer Software and Theory from Guizhou University, Guiyang, China, in 2012 and Ph.D. degrees in Computer Systems Organization from Xidian University, China, in 2016. His research interests includeSecure issues in data management, privacy protection, cloud security.He is currently the senior member of ACM, IEEE, CCF (China Computer Federation), CACR (Chinese Association for Cryptologic Research). He has published over 10 research articles includeing IEEE transactions on Big Data, Informaton Sciences, IEEE Access, etc.
Dr. Xiaofang Xiais currently a postdoc faculty with the School of Computer Science and Technology, Xidian University, China. She received her Ph.D. degree in Control Theory and Control Engineering from Shenyang Institute of Automation, Chinese Academy of Sciences, China, in 2019. She received the B.E degree from Xiangtan University, China, in 2012. She was a visiting student at the Department of Computer Science, University of Alabama, USA, from August 2016 to February 2018. Her research interests are mainly in communication networks, cyber physical system, smart grid security and privacy preserving. She has published multiple papers in IEEE Transactions on Information Forensics and Security, IEEE Transactions on Network Science and Engineering, Computers & Security, The Computer Journal, IEEE Access, International Conference on Communications, etc.
Dr. Yingfan Liu is currently a lecturer with the School of Computer Science and Technology, Xidian University, China. He received the B.Eng. degree in Computer Science and Technology from Xidian University in 2011, M.Eng. degree in Computer Engineering from Xidian University in 2014 and Ph.D. degree in Systems Engineering and Engineering Management from Chinese University of Hong Kong in 2019. His research interests include high-dimensional indexing and management of complex data. He has several works published in VLDB, Info. Sci., CIKM, etc.
P.hD students beingsupervised:
Xiaokang Feng,Yongchao Hou,Yixiao Zhu,Yuchao Wang,Yang Liu, Zhibing Wang

Admission
Dr. Jiangtao Cui currently has 4~6 opening positions for Master and 1~2 opening positions for Ph.D every year.
Candidates are expected to have strong communication skills such that you are able to build and maintain good relationshipsand collaborate wellwith other team members.
Additionally, Master candidates are expected to beproficient atone (or more) of the following knowledge or skills: programing and algorithms, data structure, database, computer system structure, digital information processing, and image processing.
Ph.D candidates are expected to: (1) have excellent English writing skills; (2) befamiliar with common mathematical analysis tools; (3) design novel algorithms and implement it; and (4) be willing to study abroad for at least one year.
If you are interested to joinour team,please have a look at the research section for further details.To be considered, please send me an email, attaching your unofficial transcripts and a CV/resume.