Selected Publications
Jianxin Li, Taotao Cai, Ke Deng, Xinjue Wang, Timos Sellis, Feng Xia: Community-diversified influence maximization in social networks: Information Systems, 2020
Xiangjie Kong, Feng Xia, Jianxin Li, Mingliang Hou, Menglin Li, Yong Xiang:
A Shared Bus Profiling Scheme for Smart Cities Based on Heterogeneous Mobile Crowdsourced Data. IEEE Transactions on Industry Informatics 16(2): 1436-1444 (2020)
Lei Wang, Jing Ren, Bo Xu, Jianxin Li, Wei Luo, Feng Xia:
MODEL: Motif-Based Deep Feature Learning for Link Prediction. IEEE Transactions on Computational Social Systems7(2): 503-516 (2020)
Iynkaran Natgunanathan, Mohammad Belayet Hossain, Yong Xiang, Longxiang Gao, Dezhong Peng, Jianxin Li:
Progressive Average-Based Smart Meter Privacy Enhancement Using Rechargeable Batteries. IEEE Internet of Things Journal 6(6): 9816-9828 (2019)
Xiangjie Kong, Feng Xia, Kai Ma, Jianxin Li, Qiuyuan Yang:
Discovering Transit-Oriented Development Regions of Megacities Using Heterogeneous Urban Data. IEEE Transactions on Computational Social Systems 6(5): 943-955 (2019)
ShiJie Sun, Naveed Akhtar, HuanSheng Song, ChaoYang Zhang, Jianxin Li, Ajmal Mian:
Benchmark Data and Method for Real-Time People Counting in Cluttered Scenes Using Depth Sensors. IEEE Transactions on Intelligent Transportation Systems 20(10): 3599-3612 (2019)
Yu-Xuan Qiu, Rong-Hua Li, Jianxin Li, Shaojie Qiao, Guoren Wang, Jeffrey Xu Yu, Rui Mao:
Efficient Structural Clustering on Probabilistic Graphs. IEEE Transactions on Knowledge and Data Engineering 31(10): 1954-1968 (2019)
Nur Al Hasan Haldar, Jianxin Li, Mark Reynolds, Timos Sellis, Jeffrey Xu Yu:
Location prediction in large-scale social networks: an in-depth benchmarking study. The VLDB Journal 28(5): 623-648 (2019)
Feng Xia, Jinzhong Wang, Xiangjie Kong, Zhibo Wang, Jianxin Li, Chengfei Liu:
Exploring Human Mobility Patterns in Urban Scenarios: A Trajectory Data Perspective. IEEE Communications Magazine 56(3): 142-149 (2018)
Noha Alduaiji, Amitava Datta, Jianxin Li:
Influence Propagation Model for Clique-Based Community Detection in Social Networks. IEEE Transactions on Computational Social Systems 5(2): 563-575 (2018)
Jianxin Li, Timos Sellis, J. Shane Culpepper, Zhenying He, Chengfei Liu, Junhu Wang:
Geo-Social Influence Spanning Maximization. IEEE Transactions on Knowledge and Data Engineering 29(8): 1653-1666 (2017)
Jianxin Li, Chengfei Liu, Jeffrey Xu Yu, Yi Chen, Timos K. Sellis, J. Shane Culpepper:
Personalized Influential Topic Search via Social Network Summarization. IEEE Transactions on Knowledge and Data Engineering 28(7): 1820-1834 (2016)
Ke Deng, Jianxin Li, Chaoyi Pang, Jiuyong Li, Xiaofang Zhou:
Access Time Oracle for Planar Graphs. IEEE Transactions on Knowledge and Data Engineering 28(8): 1959-1970 (2016)
Jianxin Li, Chengfei Liu, Jeffrey Xu Yu:
Context-Based Diversification for Keyword Queries Over XML Data. IEEE Transactions on Knowledge and Data Engineering 27(3): 660-672 (2015)
Md. Saiful Islam, Chengfei Liu, Jianxin Li:
Efficient Answering of Why-Not Questions in Similar Graph Matching. IEEE Transactions on Knowledge and Data Engineering 27(10): 2672-2686 (2015)
Jianxin Li, Chengfei Liu, Rui Zhou, Jeffrey Xu Yu:
Quasi-SLCA Based Keyword QueryProcessing over Probabilistic XML Data. IEEE Transactions on Knowledge and Data Engineering 26(4): 957-969 (2014)
B. Cai, G. Huang, Y. Xiang, M. Angelova, L. Guo, C.-H. Chi, Multi-Scale Shapelets Discovery for Time Series Classification, International Journal of Information Technology and Decision Making, Vol. 19, No. 3, 2020.
S. Yang, G. Huang, B. Ofoghi, J. Yearwood, Short Text Similarity based on Biterm Topic Model, Concurrency and Computation: Practice and Experience, 2020. DOI: 10.1002/cpe.5765
N. Samadiani, G. Huang, W. Luo, C.-H. Chi, Y. Shu, R. Wang, T. Kocaturk, A Multiple Feature Fusion Framework for Video Emotion Recognition in The Wild, Concurrency and Computation: Practice and Experience, 2020. DOI: 10.1002/cpe.5764
J. Wu, J. He, C.-H. Chi, G. Huang, Absorbing Diagonal Algorithm: an Eigensolver of O(n^2.584963 log(1/ε)) Complexity at Precision ε, IEEE Transactions on Knowledge and Data Engineering, 2019. Doi: 10.1109/TKDE.2019.2949309
B. Cai, G. Huang, C.-H. Chi, R. Liu and Y. Shu, An Accurate Negative Survey Using Answer Confidence Level, IEEE Transactions on Dependable and Secure Computing, 2019.
S. Yang, G. Huang, B. Cai, Discovering Topic Representative Terms for Short Text Clustering, IEEE Access 7: 92037-92047, 2019.
M. Hossain, I. Natgunanathan, Y. Xiang, L.-X. Yang, G. Huang, Enhanced smart meter privacy protection using rechargeable batteries, IEEE Internet of Things Journal, 6(4): 7079-7092, 2019.
N. Samadiani, G. Huang, B. Cai, W. Luo, C.-H. Chi, Y. Xiang, J. He, A review on automatic facial expression recognition assisted by multimodal sensor data, Sensors, 19(8): 1863, 2019.
P. Shi, G. Li, Y. Yuan, G. Huang, L. Kuang, Prediction of dissolved oxygen content in aquaculture using clustering-based softplus extreme learning machine, Computers and Electronics in Agriculture, 157, 329-338, 2019.
X. Zhou, L. Chen, Y. Zhang, D. Qin, L. Cao, G. Huang and C. Wang, Enhancing online video recommendation using social user interactions, VLDB Journal, 26(5): 637-656, 2017.
G. Huang, J. He, W. Zhou, G.-L. Huang, L. Guo, X. Zhou and F. Tang, Discovery of stop regions for understanding repeat travel behaviors of moving objects, Journal of Computer and System Sciences, 82(4): 582-593, 2016.
G. Huang, J. He, Y. Zhang, W. Zhou, H. Liu, P. Zhang, Z. Ding, Y. You and J. Cao, Mining streams of short text for analysis of world-wide event evolutions, World Wide Web, 18(5): 1201-1217, 2015.
G. Huang, Y. Zhang, J. Cao, M. Steyn and K. Taraporewalla, Online mining abnormal period patterns from multiple medical sensor data streams, World Wide Web, 17(4): 569-587, 2014.
J. He, Y. Zhang, G. Huang and P. de Souza, CIRCE: correcting imprecise readings and compressing excrescent points for querying common patterns in uncertain sensor streams, Information Systems, 38(8):1234-1251, 2013.
J. He, Y. Zhang, G. Huang, Y. Shi and J. Cao, Distributed data possession checking for securing multiple replicas in geographically dispersed clouds, Journal of Computer and System Sciences, 78(5): 1345-1358, 2012.
G. Huang, Y. Zhang, J. He and J. Cao, Fault tolerance in data gathering wireless sensor networks, The Computer Journal 54(6): 976-987, 2011.
Taotao Cai, Jianxin Li, Nur Al Hasan Haldar, Ajmal Mian, John Yearwood, Timos Sellis:
Anchored Vertex Exploration for Community Engagement in Social Networks: ICDE 2020:409-420
Ningning Cui, Xiaochun Yang, Bin Wang, Jianxin Li, Guoren Wang:
SVkNN: Efficient Secure and Verifiable k-Nearest Neighbor Query on the Cloud Platform: ICDE 2020:253-264
Mo Li, Farhana M Choudhury, Renata Borovica-Gajic, Zhiqiong Wang, Junchang Xin, Jianxin Li:
CrashSim: An Efficient Algorithm for Computing SimRank over Static and Temporal Graphs: ICDE 2020:1141-1152
Lu Chen, Chengfei Liu, Kewen Liao, Jianxin Li, Rui Zhou:
Contextual Community Search Over Large Social Networks. ICDE 2019: 88-99
Lu Chen, Chengfei Liu, Rui Zhou, Jianxin Li, Xiaochun Yang, Bin Wang:
Maximum Co-located Community Search in Large Scale Social Networks. Proc. VLDB Endow. 11(10): 1233-1246 (2018)
Bishwamittra Ghosh, Mohammed Eunus Ali, Farhana Murtaza Choudhury, Sajid Hasan Apon, Timos Sellis, Jianxin Li:
The Flexible Socio Spatial Group Queries. Proc. VLDB Endow. 12(2): 99-111 (2018)
Jianxin Li, Taotao Cai, Ajmal Mian, Rong-Hua Li, Timos Sellis, Jeffrey Xu Yu:
Holistic Influence Maximization for Targeted Advertisements in Spatial Social Networks. ICDE 2018: 1340-1343
Xinjue Wang, Ke Deng, Jianxin Li, Jeffrey Xu Yu, Christian S. Jensen, Xiaochun Yang:
Targeted Influence Minimization in Social Networks. PAKDD (3) 2018: 689-700
Jianxin Li, Xinjue Wang, Ke Deng, Xiaochun Yang, Timos Sellis, Jeffrey Xu Yu:
Most Influential Community Search over Large Social Networks. ICDE 2017: 871-882
Jianxin Li, Chengfei Liu, Lu Chen, Zhenying He, Amitava Datta, Feng Xia:
iTopic: Influential Topic Discovery from Information Networks via Keyword Query. WWW (Companion Volume) 2017: 231-235
Chen Liu, Ke Deng, Chaojie Li, Jianxin Li, Yanhua Li, Jun Luo:
The Optimal Distribution of Electric-Vehicle Chargers across a City. ICDM 2016: 261-270
Jianxin Li, Chengfei Liu, Md. Saiful Islam:
Keyword-based correlated network computation over large social media. ICDE 2014: 268-279
Yifei Lu, Wei Wang, Jianxin Li, Chengfei Liu:
XClean: Providing valid spelling suggestions for XML keyword queries. ICDE 2011: 661-672
Jianxin Li, Chengfei Liu, Rui Zhou, Wei Wang:
Top-k keyword search over probabilistic XML data. ICDE 2011: 673-684
B. Cai, G. Huang, Y. Xiang, G.-L. Huang, K. Deng, J. He and X. Zhou, Clustering of multiple density peaks, 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’18), pp.413-425, Melbourne, Australia, June 3-6, 2018.
S. Yang, G. Huang, Y. Xiang and C.-H. Chi, Modeling user preferences on spatiotemporal topics for point-of-interest recommendation, the 14th IEEE International Conference on Services Computing (SCC’17), pp. 204-211, Honolulu, Hawaii, USA, June 25 – 30, 2017.
G. Huang, J. He, C.-H.. Chi, W. Zhou and Y. Zhang, A data as a product model for future consumption of big stream data in clouds, the 12th IEEE International Conference on Services Computing (SCC’15), pp. 256-263, June 27 – July 2, 2015, USA.
X. Zhou, L. Chen, Y. Zhang, L. Cao, G. Huang and C. Wang, Online video recommendation in sharing community, SIGMOD’2015, Melbourne, Australia, May 31 – June 4, 2015, pp. 1645-1656.
W. Yao, J. He, G. Huang and Y. Zhang, Modeling dual role preferences for trust-aware recommendation, ACM SIGIR 2014 Conference, pp. 975-978.
H. Zheng, J. He, G. Huang and Y. Zhang, Optimized fuzzy association rule mining for quantitative data, the 2014 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE’2014), Beijing, China, July 6-11, 2014, pp. 396-403.
W. Yao, J. He, G. Huang and Y. Zhang, SoRank: incorporating social information into learning to rank models for recommendation, WWW conference (Companion Volume), Seoul, Korea, April 7-11, 2014: 409-410.
G. Huang, J. He, J. Cao, Z. Qiao, M. Steyn and K. Taraporewalla, Real-time abnormality detection system for intensive care management, The 29th IEEE International Conference on Data Engineering (ICDE’13), Brisbane, Australia, April 8-11, 2013, pp. 1376-1379.
Y. You, G. Huang, J. Cao, E. Chen, J. He, Y. Zhang, and L. Hu: GEAM: a general and event-related aspects model for Twitter event detection, WISE (2):319-332, 2013.
W. Yao, J. He, G. Huang, J. Cao, Y. Zhang: Personalized recommendation on multi-layer context graph. WISE (1): 135-148, 2013. (Best Student Paper Award)
Z. Qiao, G. Huang, J. He, P. Zhang, L. Guo, J. Cao and Y. Zhang, Discovering semantics from multiple correlated time series, The 17th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’13), Queensland, Australia April 14-17, pp. 509-520, 2013.
G. Huang, Y. Zhang, J. He and Z. Ding, Efficiently retrieving longest common route patterns of moving objects by summarizing turning regions, The 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD’11), pp. 375-386, 2011.