[1] YanguoPeng, Long Wang, Jiangtao Cui, Ximeng Liu, Hui Li, Jianfeng Ma. LS-RQ: ALightweight andForward-secureRangeQuery onGeographicallyEncryptedData. IEEE TDSC. 2020,publishedonline.
[2] 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.published online.
[3] Hui Li, Sourav S Bhowmick, Jiangtao Cui, YunjunGao, Jianfeng Ma. GetReal: Towards Realistic Selection of InfluenceMaximizationStrategies inCompetitive Networks.ACM SIGMOD. 2015, 1525-1537.published online.
[4] Hui Li, Sourav S Bhowmick, Aixin Sun, Jiangtao Cui.Conformity-aware Influence Maximization in Online Social Networks. SpringerVLDBJ. 2015, 24(1): 117-141.published online.
[5] Yingfan Liu, Jiangtao Cui, Zi Huang, Hui Li, HengtaoShen. SK-LSH: An Efficient Index Structure for Approximate Nearest Neighbor Search. Morgan Kaufmann/ACM VLDB. 2014, 7(9): 745-756.published online.
[6] Xiaofeng Zhu, Zi Huang, Hong Cheng, Jiangtao Cui, HengtaoShen. Sparse Hashing for Fast Multimedia Search. ACM TOIS. 2013, 31(2): 9.published online.
[7] Yanni Li*, Hui Li, TihuaDuan, Sheng Wang, Zhi Wang, Yang Cheng. A Real Linear and Parallel Multiple Longest CommonSubsequences (MLCS) Algorithm. ACM SIGKDD.2016,pp.1725-1734.published online.
[8] Yanni LI,Yuping WANG, Zhensong Zhang, Yaxin Wang, Ding Ma, Jianbin Huang.A Novel Fast and Memory Efficient Parallel MLCS Algorithm for Longer and Large-Scale Sequences Alignments.IEEE ICDE. 2016,pp.1033-1044.published online.
[9] Ziyu Guan, Lijun Zhang, JinyePeng, Jianping Fan. Multi-view Concept Learning for Data Representation. IEEETKDE. 2015, pages 3016-3028.published online.
[10] Ziyu Guan, Shengqi Yang, Huan Sun, MudhakarSrivatsa, Xifeng Yan. Fine-Grained Knowledge Sharing in Collaborative Environments. IEEE TKDE. 2015,pages 2163-2174.published online.
[11] Ziyu Guan, Gengxin Miao, Russell McLoughlin, Xifeng Yan, Deng Cai. Co-Occurrence Based Diffusion for Expert Search on the Web. IEEE TKDE.2013, pages 1001-1014.published online.
[12] Ziyu Guan, FeiXie, Wanqing Zhao, Xiaopeng Wang, Long Chen, Wei Zhao, JinyePeng. Tag-based Weakly-supervised Hashing for Image Retrieval.Morgan Kaufmann IJCAI.2018, 3776-3782.published online.
[13] Ziyu Guan, Long Chen, Wei Zhao, Yi Zheng, Shulong Tan, Deng Cai. Weakly-supervised Deep Learning for Customer Review Sentiment Classification.Morgan Kaufmann IJCAI. 2016, pages 3719-3725.published online.
[14] Ziyu Guan, Xifeng Yan, Lance M. Kaplan. Measuring Two-Event Structural Correlations on Graphs.Kaufmann/ACM VLDB.2012,pages 1400-1411.published online.
[15] HongweiHuo.MSQ-Index: asuccinct Index for fast graph similarity search.IEEE TKDE. 2019.published online.
[16] Jianbin Huang,Heli Sun, Qinbao Song, Hongbo Deng, Jiawei Han. Revealing Density-Based Clustering Structure from the Core-Connected Tree of a Network.IEEE TKDE. 2013, 25(8): 1876-1889.published online.
[17] Jianbin Huang, XuejunHuangfu, Heli Sun, Hui Li, Peixiang Zhao, Hong Cheng, Qinbao Song. Backward Path Growth for Efficient Mobile Sequential Recommendation.IEEE TKDE. 2015, 27(1): 46-60.published online.
[18] Zhou Yang, Heli Sun, Jianbin Huang, Zhongbing Sun, HuiXiong, ShaojieQiao, Ziyu Guan, XiaolinJia. An Efficient Destination Prediction Approach Based on Future Trajectory Prediction and Transition Matrix Optimization. IEEE TKDE. 2018,accepted.
[19] Shaojie Qiao,Nan Han,Yunjun Gao,Rong-Hua Li, Jianbin Huang,Jun Guo,Louis Alberto Gutierrez.A Fast Parallel Community Discovery Model on Complex Networks Through Approximate Optimization.IEEE TKDE.2018,30(9):1638-1651.published online.
[20] Wei Feng, Jianyong Wang, Jiaweihan, CharuAggarwal,Jianbin Huang. StreamCube: Hierarchical Spatio-temporal Hashtag Clustering for Event Exploration over the Twitter Stream. IEEE ICDE. 2015, pp.1561-1572.published online.
[21] Yanni Li, Yuping Wang, Zhensong Zhang, Yaxin Wang, Ding Ma and Jianbin Huang. A Novel Fast and Memory Efficient Parallel MLCS Algorithm for Long and Large-Scale Sequences Alignments. IEEE ICDE. 2016, published online.
[22] Xiaoke Ma,Di Dong, Quan Wang. Community detection in multi-layer networks using joint nonnegative matrix factorization.IEEE TKDE. 2019,31(2):273-286.published online.
[23] Xiaoke Ma, Di Dong,Evolutionary nonnegative matrix factorization algorithms for community detection in dynamic networks.IEEE TKDE. 2017,29(5):1045-1058.published online.
[24] Xiaoke Ma, Wanxin Tang, et al.,Extracting stage-specific and dynamic modulesthrough analyzing multiple networks associatedwith cancer progression. IEEE/ACMTCBB. 2018,15(8):647-658.published online.
[25] Liang Bao, Chase Q. Wu, et al. Performance Modeling and Workflow Scheduling of Microservice-based Applications in Clouds. IEEE TPDS. 2019, vol.30, pages:2114-2129. published online.
[26] Liang Bao, Xin Liu, Fangzheng Wang, and Baoyin Fang. ACTGAN: Automatic Configuration Tuning for Software Systems with Generative Adversarial Networks. IEEE/ACM ASE 2019.published online.
[27] Liang Bao, Chase Q. Wu, et al. LAS: Logical-Block Affinity Scheduling in Big Data Analytics Systems. In Proceedings of the IEEE INFOCOM. 2018, pages: 15-19.published online.
[28] Liang Bao, Xin Liu, ZihengXu, and Baoyin Fang. AutoConfig: Automatic Configuration Tuning for Distributed Message Systems. In Proceedings of IEEE/ACM ASE. 2018, pages: 29-40.published online.
[29] Xiaoli Wang, BharadwajVeeravalli, Haiming Ma. On the Design of a Time, Resource, and Energy Efficient Multi-installment Large-Scale Workload Scheduling Strategy for Nework-based Compute Platforms. IEEE TPDS. 2019, 30(5):1120-1133. published online.
[30] Xiaoli Wang, BharadwajVeeravalli. Performance Characterization on Handling Large-scale Partitionable Workloads on Networked Compute Platforms. IEEE TPDS.2017, 28(10):2925-2938.published online.
[31] Xiaofang Xia, Yang Xiao, Wei Liang. “ABSI: An Adaptive Binary Splitting Algorithm for Malicious Meter Inspection in Smart Grid”, IEEE TIFS. 2019,vol. 14, issue 2,pp.445-458.published online.
[32] Xiaofang Xia, Yang Xiao, Wei Liang. “SAI: A Suspicion Assessment Based Inspection Algorithm to Detect Malicious Users in the Smart Grid”, IEEE TIFS. 2019, vol. 15, pp. 361-374.published online.
[33] HongweiHuo.Efficient compression and indexing for highly repetitive DNA sequence collections. IEEE/ACM TCBB. 2020.published online.
[34] Zhao Wei, Guan Ziyu, Chen Long, He Xiaofei,Cai Deng, Wang Beidou, Wang Quan. Weakly-Supervised Deep Embedding for Product Review sentiment Analysis. IEEE TKDE. 2018,30(1):185-197.published online.
[35] Zhao Wei, ZhangBoxuan, WangBeidou, Guan Ziyu, GuanWanxian,QiuGuang,Ning Wei, Chen Jiming, Liu Hongmin. Personalized Attraction Enhanced Sponsored Search with Multi-task Learning. ACM SIGKDD, 2019,pages 2632–2642.published online.
