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    Professor Jianxin (Kevin) Li

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Professor Jianxin (Kevin) Li

Professor in Information Systems

Staff Member Details
Telephone: +61 8 6304 3508
Mobile: 0412 207 319
Email: jianxin.li@ecu.edu.au
Campus: Joondalup  
Room: JO2.464  

Jianxin is the Professor of Information Systems at the School of Business and Law.

Research Areas and Interests

  • Business Analytics and Intelligence
  • Applied Data Science & AI in Transportation
  • Multimodal Data Management and Retrieval
  • Social Network Data Exploration, Social Influence Analytics
  • Knowledge Graph Representation Learning, Entity & Relation Enrichment
  • Heterogeneous Information Network Data for Decision Making

Biography

Jianxin Li is one of the worldwide recognised scholars in the fields of information systems and data science. He was awarded as World Top 2% scientists by 2023 Stanford due to his research impact and high citation. He has published about 200 peer-reviewed and high-quality research articles in top international conferences and journals, including SIGMOD, PVLDB, ICDE, ACM WWW, SIGKDD, ACM CIKM, IEEE TKDE, KBS, TII, IS, etc. There are 12 research articles that were awarded as the Highly Cited Papers or Hot Papers in 2020-2024. His supervised PhD students had won the Best Student Paper Awards, the Best Paper Awards, the Shortlisted Best Thesis Awards. Based on his research contribution and solid track record, he has obtained more than 10 external grants with about 1.7 million funding, including two Australian Research Council Discovery Projects, three Australian Research Council Linkage Projects.

Jianxin has more than 16 years’ teaching experience in a range of subjects for undergraduates and postgraduates in the courses of data science, artificial intelligence as well as business intelligence across several Australian universities. Currently, he serves as the Editor-in-Chief in Array, Associate Editors in Information Systems, Knowledge-based Systems, and IEEE Signal Processing Letters, World Wide Web Journal. As Program Committee Chairs or Steering Committee Members, he chaired the international conferences of ADMA’2019, APWeb-WAIM’2023, and more than 10 workshops since 2014.

Media Topics
  • Business Intelligence
  • Applied Data Science & AI
  • Technology Innovation
  • Personalised Education

SBL Research Centres or Cluster/s

Business Intelligence Research Cluster

Awards & Recognition
  • 2015 – The Best Poster Award, Australasian Database Conference
  • 2017 – The Best Demo Paper Award, The Web Conference (previous name as World Wide Web Conference)
  • 2018 – The Third Prize of Innovation & Contest, Alpha Innovation Contest
  • 2018 – The Best Paper Award  Runner Up, APWeb-WAIM Joint Conference on Web and Big Data
  • 2018 – The Best Student Paper Award, Australasian Database Conference
  • 2021 – The Best Student Paper Award Runner Up, The International Conference on Web Information Systems Engineering
  • 2022 – The Best Student Paper Award, The International Conference on Advanced Data Mining and Applications
  • 2023 – The World Top 2% scientists, Stanford's list

Qualifications

  • Doctor of Philosophy, Swinburne University of Technology, 2009.

Research Outputs

2024

Journal Articles

  • Chen, Y., Xie, T., Chen, H., Huang, X., Cui, N., Li, J. (2024). KGCF: Social relationship-aware graph collaborative filtering for recommendation. Information Sciences, 680(Article in press), Article number 121102. https://doi.org/https://doi.org/10.1016/j.ins.2024.121102.
  • Tang, Y., Li, J., Haldar, NA., Guan, Z., Xu, J., Liu, C. (2024). Reliability-Driven Local Community Search in Dynamic Networks. IEEE Transactions on Knowledge and Data Engineering, 36(2), 809-822. https://doi.org/10.1109/TKDE.2023.3290295.
  • Cui, N., Wang, D., Li, J., Zhu, H., Yang, X., Xu, J., Cui, J., Zhong, H. (2024). Enabling Efficient, Verifiable, and Secure Conjunctive Keyword Search in Hybrid-Storage Blockchains. IEEE Transactions on Knowledge and Data Engineering, 36(6), 2445-2460. https://doi.org/10.1109/TKDE.2023.3324128.
  • Huang, S., Zhang, H., Wang, X., Chen, M., Li, J., Leung, VC. (2024). Fine-Grained Spatio-Temporal Distribution Prediction of Mobile Content Delivery in 5G Ultra-Dense Networks. IEEE Transactions on Mobile Computing, 23(1), 469-482. https://doi.org/10.1109/TMC.2022.3226448.
  • Haldar, NA., Li, J., Akhtar, N., Jia, Y., Mian, A. (2024). Co-Engaged Location Group Search in Location-Based Social Networks. IEEE Transactions on Knowledge and Data Engineering, 36(7), 2910-2926. https://doi.org/10.1109/TKDE.2023.3327405.
  • Xue, G., Zhong, M., Qian, T., Li, J. (2024). PSA-GNN: An augmented GNN framework with priori subgraph knowledge. Neural Networks, 173(Article in press), Article number 106155. https://doi.org/10.1016/j.neunet.2024.106155.

Conference Publications

  • Cui, N., Wang, D., Li, J., Zhu, H., Yang, X., Xu, J., Cui, J., Zhong, H. (2024). Enabling Efficient, Verifiable, and Secure Conjunctive Keyword Search in Hybrid-Storage Blockchains. 2024 IEEE 40th International Conference on Data Engineering (ICDE) (1-2). IEEE. https://doi.org/10.1109/ICDE60146.2024.00481.
  • Yang, W., Xu, J., Zhou, R., Chen, L., Li, J., Zhao, P., Liu, C. (2024). Multi-view Attentive Variational Learning for Group Recommendation. 2024 IEEE 40th International Conference on Data Engineering (ICDE) (5022-5034). IEEE. https://doi.org/10.1109/ICDE60146.2024.00381.

2023

Journal Articles

  • Zhang, Z., Wu, L., Ma, C., Li, J., Wang, J., Wang, Q., Yu, S. (2023). LSFL: A Lightweight and Secure Federated Learning Scheme for Edge Computing. IEEE Transactions on Information Forensics and Security, 18(Article in press), 365-379. https://doi.org/10.1109/TIFS.2022.3221899.
  • Fang, U., Li, J., Lu, X., Mian, A., Gu, Z. (2023). Robust image clustering via context-aware contrastive graph learning. Pattern Recognition, 138(Article in press), Article number 109340. https://doi.org/10.1016/j.patcog.2023.109340.
  • Wu, Y., Tie, G., Yu, Y., Li, J., Song, J. (2023). EBSS: A secure blockchain-based sharing scheme for real estate financial credentials. World Wide Web, 26(4), 1599-1624. https://doi.org/10.1007/s11280-022-01106-2.
  • Zhang, R., Wu, L., Cao, S., Wu, D., Li, J. (2023). A Vehicular Task Offloading Method With Eliminating Redundant Tasks in 5G HetNets. IEEE Transactions on Network and Service Management, 20(1), 456-470. https://doi.org/10.1109/TNSM.2022.3201953.
  • Xu, M., Xu, J., Zhou, R., Li, J., Zheng, K., Zhao, P., Liu, C. (2023). Empowering A* Algorithm With Neuralized Variational Heuristics for Fastest Route Recommendation. IEEE Transactions on Knowledge and Data Engineering, 35(10), 10011-10023. https://doi.org/10.1109/TKDE.2023.3269084.
  • Li, Y., Chen, L., Liu, C., Zhou, R., Li, J. (2023). Generative adversarial network for unsupervised multi-lingual knowledge graph entity alignment. World Wide Web, 26(5), 2265-2290. https://doi.org/10.1007/s11280-023-01140-8.
  • Yang, Y., Guan, Z., Li, J., Zhao, W., Cui, J., Wang, Q. (2023). Interpretable and Efficient Heterogeneous Graph Convolutional Network. IEEE Transactions on Knowledge and Data Engineering, 35(2), 1637-1650. https://doi.org/10.1109/TKDE.2021.3101356.
  • Haldar, NA., Li, J., Ali, ME., Cai, T., Chen, Y., Sellis, T., Reynolds, M. (2023). Top-k Socio-Spatial Co-Engaged Location Selection for Social Users. IEEE Transactions on Knowledge and Data Engineering, 35(5), 5325-5340. https://doi.org/10.1109/TKDE.2022.3151095.
  • Cai, T., Yang, S., Li, J., Sheng, QZ., Yang, J., Wang, X., Zhang, WE., Gao, L. (2023). Incremental Graph Computation: Anchored Vertex Tracking in Dynamic Social Networks. IEEE Transactions on Knowledge and Data Engineering, 35(7), 7030-7044. https://doi.org/10.1109/TKDE.2022.3199494.
  • Fang, U., Li, J., Akhtar, N., Li, M., Jia, Y. (2023). GoMIC: Multi-view image clustering via self-supervised contrastive heterogeneous graph co-learning. World Wide Web, 26(4), 1667-1683. https://doi.org/10.1007/s11280-022-01110-6.
  • Zhang, H., Huang, S., Wang, X., Li, J., Wang, X., Leung, VC. (2023). A Measurement-Driven Analysis and Prediction of Content Propagation in the Device-to-Device Social Networks. IEEE Transactions on Knowledge and Data Engineering, 35(8), 7651-7664. https://doi.org/10.1109/TKDE.2022.3219399.
  • Xu, D., Chen, Y., Cui, N., Li, J. (2023). Towards multi‑dimensional knowledge‑aware approach for efective community detection in LBSN. World Wide Web, 26(4), 1435-1458. https://doi.org/10.1007/s11280-022-01101-7.
  • Zhu, L., Bao, Y., Xu, M., Li, J., Zhu, Z., Kong, X. (2023). Aspect sentiment quadruple extraction based on the sentence-guided grid tagging scheme. World Wide Web, 26(5), 3303-3320. https://doi.org/10.1007/s11280-023-01185-9.
  • Fang, U., Li, M., Li, J., Gao, L., Jia, T., Zhang, Y. (2023). A Comprehensive Survey on Multi-View Clustering. IEEE Transactions on Knowledge and Data Engineering, 35(12), 12350-12368. https://doi.org/10.1109/TKDE.2023.3270311.
  • Song, Y., Qin, Y., Hao, W., Liu, P., Li, J., Choudhury, FM., Wang, X., Zhang, Q. (2023). Optimizing subgraph matching over distributed knowledge graphs using partial evaluation. World Wide Web, 26(2), 751-771. https://doi.org/10.1007/s11280-022-01075-6.
  • Liu, J., Chen, Y., Huang, X., Li, J., Min, G. (2023). GNN-based long and short term preference modeling for next-location prediction. Information Sciences, 629(Article in press), 1-14. https://doi.org/10.1016/j.ins.2023.01.131.
  • Yang, Y., Wu, H., Guan, Z., Li, J., Zhao, W., Xu, C., Li, H., Cao, Q., Lv, Y. (2023). Distributed dominance graph-based neural multi-objective evolutionary strategy for sponsored search real-time bidding. Knowledge-Based Systems, 279(Article in press), Article number 110921. https://doi.org/10.1016/j.knosys.2023.110921.

Conference Publications

  • Li, Y., Chen, L., Liu, C., Zhou, R., Li, J. (2023). Efficient and Effective Entity Alignment for Evolving Temporal Knowledge Graphs. 2023 IEEE International Conference on Data Mining (349-358). IEEE. https://doi.org/10.1109/ICDM58522.2023.00044.
  • Liang, X., Chen, T., Nguyen, QV., Li, J., Yin, H. (2023). Learning Compact Compositional Embeddings via Regularized Pruning for Recommendation. 2023 IEEE International Conference on Data Mining (ICDM) (378-387). IEEE. https://doi.org/10.1109/ICDM58522.2023.00047.
  • Xu, C., Li, Z., Guan, Z., Zhao, W., Song, X., Wu , Y., Li, J. (2023). Unbalanced Multi-view Deep Learning. MM '23: Proceedings of the 31st ACM International Conference on Multimedia (3051-3059). Association for Computing Machinery. https://doi.org/10.1145/3581783.3612527.
  • Wang, C., Wang, X., Li, Z., Chen, Z., Li, J. (2023). HyConvE: A Novel Embedding Model for Knowledge Hypergraph Link Prediction with Convolutional Neural Networks. WWW '23: Proceedings of the ACM Web Conference 2023 (188-198). Association for Computing Machinery. https://doi.org/10.1145/3543507.3583256.
  • Chen, L., Liu, C., Zhou, R., Liao, K., Xu, J., Li, J. (2023). Densest Multipartite Subgraph Search in Heterogeneous Information Networks. Proceedings of the VLDB Endowment (699-711). VLDB Endowment. https://doi.org/10.14778/3636218.3636226.

2022

Journal Articles

  • Song, X., Li, J., Cai, T., Yang, S., Yang, T., Liu, C. (2022). A survey on deep learning based knowledge tracing. Knowledge-Based Systems, 258(Article in press), Article number 110036. https://doi.org/10.1016/j.knosys.2022.110036.
  • Cui, N., Yang, X., Chen, Y., Li, J., Wang, B., Min, G. (2022). Secure Boolean Spatial Keyword Query With Lightweight Access Control in Cloud Environments. IEEE Internet of Things Journal, 9(12), 9503-9514. https://doi.org/10.1109/JIOT.2021.3122991.
  • Xue , G., Zhong, M., Li, J., Chen, J., Zhai, C., Kong, R. (2022). Dynamic network embedding survey. Neurocomputing, 472(Article in press), 212-223. https://doi.org/10.1016/j.neucom.2021.03.138.
  • Yin, H., Song, X., Yang, S., Li, J. (2022). Sentiment analysis and topic modeling for COVID-19 vaccine discussions. World Wide Web, 25(3), 1067-1083. https://doi.org/10.1007/s11280-022-01029-y.
  • Zhang, R., Wu, L., Cao, S., Xiong, NN., Li, J., Wu, D., Ma, C. (2022). MPTO-MT: A multi-period vehicular task offloading method in 5G HetNets. Journal of Systems Architecture, 131(Article in press), Article number 102712. https://doi.org/10.1016/j.sysarc.2022.102712.
  • Xia, F., Yu, S., Liu, C., Li, J., Lee, I. (2022). CHIEF: Clustering with Higher-order Motifs in Big Networks. IEEE Transactions on Network Science and Engineering, 9(3), 990-1005. https://doi.org/10.1109/TNSE.2021.3108974.
  • Wang, M., Wu, L., Li, J., He, L. (2022). Traffic Signal Control With Reinforcement Learning Based on Region-Aware Cooperative Strategy. IEEE Transactions on Intelligent Transportation Systems, 23(7), 3774-6785. https://doi.org/10.1109/TITS.2021.3062072.
  • Chen, J., Zhong, M., Li, J., Wang, D., Qian, T., Tu, H. (2022). Effective Deep Attributed Network Representation Learning With Topology Adapted Smoothing. IEEE Transactions on Cybernetics, 52(7), 5935-5946. https://doi.org/10.1109/TCYB.2021.3064092.
  • Liu, H., Chen, Y., Cui, N., Xu, D., Li, J. (2022). An Effective Data Fusion Model for Detecting the Risk of Transmission Line in Smart Grid. IEEE Internet of Things Journal, 9(22), 22256-22266. https://doi.org/10.1109/JIOT.2021.3100522.
  • Zhang, M., Wang, G., Ren, L., Li, J., Deng, K., Zhang, B. (2022). METoNR: A meta explanation triplet oriented news recommendation model. Knowledge-Based Systems, 238(Article in press), Article number 107922. https://doi.org/10.1016/j.knosys.2021.107922.
  • Anirban, S., Wang, J., Islam, MS., Kayesh, H., Li, J., Huang, ML. (2022). Compression techniques for 2-hop labeling for shortest distance queries. World Wide Web, 25(1), 151-174. https://doi.org/10.1007/s11280-021-00977-1.
  • Zhang, J., Sun, Y., Li, G., Wang, Y., Sun, J., Li, J. (2022). Machine-learning-assisted shear strength prediction of reinforced concrete beams with and without stirrups. Engineering with Computers: an international journal for simulation-based engineering, 38(2), 1293-1307. https://doi.org/10.1007/s00366-020-01076-x.
  • Song, X., Li, J., Lei, Q., Zhao, W., Chen, Y., Mian, A. (2022). Bi-CLKT: Bi-Graph Contrastive Learning based Knowledge Tracing. Knowledge-Based Systems, 241(Article in press), Article number 108274. https://doi.org/10.1016/j.knosys.2022.108274.
  • Kong, X., Wang, K., Hou, M., Xia, F., Karmakar, G., Li, J. (2022). Exploring Human Mobility for Multi-Pattern Passenger Prediction: A Graph Learning Framework. IEEE Transactions on Intelligent Transportation Systems, 23(9), 16148-16160. https://doi.org/10.1109/TITS.2022.3148116.
  • Cai, T., Li, J., Mian, A., Li, RH., Sellis, T., Yu, JX. (2022). Target-Aware Holistic Influence Maximization in Spatial Social Networks. IEEE Transactions on Knowledge and Data Engineering, 34(4), 1993-2007. https://doi.org/10.1109/TKDE.2020.3003047.
  • Wu, L., Cao, S., Chen, Y., Li, J., Cui, J., Chang, Y. (2022). A cooperative mobility model for multiple autonomous vehicles. Computer Communications, 195(Article in press), 148-161. https://doi.org/10.1016/j.comcom.2022.08.017.

Conference Publications

  • Chen, L., Liu, C., Zhou, R., Xu, J., Li, J. (2022). Efficient maximal biclique enumeration for large sparse bipartite graphs. Proceedings of the VLDB Endowment (1559-1571). VLDB Endowment. https://doi.org/10.14778/3529337.3529341.
  • Fan, Y., Xu, J., Zhou, R., Li, J., Zheng, K., Chen, L., Liu, C. (2022). MetaER-TTE: An Adaptive Meta-learning Model for En Route Travel Time Estimation. Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence (IJCAI-22) (2023-2029). International Joint Conferences on Artificial Intelligence Organization (IJCAI). https://doi.org/10.24963/ijcai.2022/281.
  • Dong, S., Miao, X., Liu, P., Wang, X., Cui, B., Li, J. (2022). HET-KG: Communication-Efficient Knowledge Graph Embedding Training via Hotness-Aware Cache. 2022 IEEE 38th International Conference on Data Engineering (ICDE) (1754-1766). IEEE. https://doi.org/10.1109/ICDE53745.2022.00177.
  • Tang, Y., Li, J., Haldar, NA., Guan, Z., Xu, J., Liu, C. (2022). Reliable Community Search in Dynamic Networks. Proceedings of the VLDB Endowment (2826-2838). ASSOC COMPUTING MACHINERY. https://doi.org/10.14778/3551793.3551834.

2021

Journal Articles

  • Haldar, NA., Reynolds, M., Shao, Q., Paris, C., Li, J., Chen , Y. (2021). Activity location inference of users based on social relationship. World Wide Web, 24(4), 1165-1183. https://doi.org/10.1007/s11280-021-00899-y.
  • Yin, H., Yang, S., Song, X., Liu, W., Li, J. (2021). Deep fusion of multimodal features for social media retweet time prediction. World Wide Web, 24(4), 1027-1044. https://doi.org/10.1007/s11280-020-00850-7.
  • Tang, K., Zhan, S., Zhan, T., Zhu, H., Zeng, Q., Zhong, M., Zhu, X., Zhu, Y., Li, J., Qian, T. (2021). Efficient Sample Location Selection for Query Zone in Geo-Social Networks. Complexity, 2021(Article in press), Article number 2581288. https://doi.org/10.1155/2021/2581288.
  • Fang, U., Li, J., Lu, X., Gao, L., Ali, M., Xiang, Y. (2021). Self-supervised cross-iterative clustering for unlabeled plant disease images. Neurocomputing, 456(Article in press), 36/48. https://doi.org/10.1016/j.neucom.2021.05.066.
  • Li, Z., Wang, X., Li, J., Zhang, Q. (2021). Deep attributed network representation learning of complex coupling and interaction. Knowledge-Based Systems, 212(Article in press), Article number 106618. https://doi.org/10.1016/j.knosys.2020.106618.
  • Sun, J., Ma, Y., Li, J., Zhang, J., Ren, Z., Wang, X. (2021). Machine learning-aided design and prediction of cementitious composites containing graphite and slag powder. Journal of Building Engineering, 43(Article in press), Article number 102544. https://doi.org/10.1016/j.jobe.2021.102544.
  • Wang, F., Zhang, D., Min, G., Li, J. (2021). Reservoir Production Prediction Based on Variational Mode Decomposition and Gated Recurrent Unit Networks. IEEE Access, 9(Article in press), Article number 9393382. https://doi.org/10.1109/ACCESS.2021.3070343.
  • Zeng, Q., Zhong, M., Zhu, Y., Qian, T., Li, J. (2021). Business location planning based on a novel geo-social influence diffusion model. Information Sciences, 559(Article in press), 61-74. https://doi.org/10.1016/j.ins.2021.01.047.
  • Song , X., Li, J., Tang, Y., Zhao , T., Chen, Y., Guan, Z. (2021). JKT: A joint graph convolutional network based Deep Knowledge Tracing. Information Sciences, 580(Article in press), 510-523. https://doi.org/10.1016/j.ins.2021.08.100.
  • Ho, S., Qu, Y., Gu, B., Gao, L., Li, J., Xiang, Y. (2021). DP-GAN: Differentially private consecutive data publishing using generative adversarial nets. Journal of Network and Computer Applications, 185(Article in press), Article number 103066. https://doi.org/10.1016/j.jnca.2021.103066.
  • Lv, C., Pan, D., Li, Y., Li, J., Wang, Z. (2021). A Novel Chinese Entity Relationship Extraction Method Based on the Bidirectional Maximum Entropy Markov Mode. Complexity, 2021(Article in press), Article number 6610965. https://doi.org/10.1155/2021/6610965.
  • Cao, Y., Fan, J., Cao, H., Chen, Y., Li, J., Li, J., Zhang, S. (2021). Prediction model for recurrence of hepatocellular carcinoma after resection by using neighbor2vec based algorithms. WIREs Data Mining and Knowledge Discovery, 11(2), Article number e1390. https://doi.org/10.1002/WIDM.1390.
  • He, Z., Wang, L., Lu, C., Jing, Y., Zhang, K., Han, W., Li, J., Liu, C., Wang, XS. (2021). Efficiently answering top-k frequent term queries in temporal-categorical range. Information Sciences, 574(Article in press), 238-258. https://doi.org/10.1016/j.ins.2021.05.081.
  • Wang, X., Tong, X., Fan, H., Wang, C., Li, J., Wang, X. (2021). Multi-Community Influence Maximization in Device-to-Device social networks. Knowledge-Based Systems, 221(Article in press), Article number 106944. https://doi.org/10.1016/j.knosys.2021.106944.
  • Song, X., Li, J., Sun, S., Yin, H., Dawson, P., Doss, RR. (2021). SEPN: A Sequential Engagement Based Academic Performance Prediction Model. IEEE Intelligent Systems, 36(1), 46-53. https://doi.org/10.1109/MIS.2020.3006961.

Conference Publications

  • Chen, L., Liu, C., Zhou, R., Xu, J., Li, J. (2021). Efficient Exact Algorithms for Maximum Balanced Biclique Search in Bipartite Graphs. SIGMOD '21: Proceedings of the 2021 International Conference on Management of Data (248-260). Association for Computing Machinery. https://doi.org/10.1145/3448016.3459241.

2020

Journal Articles

  • Wang, X., Deng, K., Li, J., Yu, JX., Jensen, CS., Yang, X. (2020). Efficient targeted influence minimization in big social networks. World Wide Web, 23(4), 2323-2340. https://doi.org/10.1007/s11280-019-00748-z.
  • Zhang, S., Wu, J., Li, J., Gu, J., Tang, X., Xu, X. (2020). Semi-Supervised Community Detection via Constraint Matrix Construction and Active Node Selection. IEEE Access, 8(Article in press), Article number 8945143. https://doi.org/10.1109/ACCESS.2019.2962634.
  • Wang, L., Ren, J., Xu, B., Li, J., Luo, W., Xia, F. (2020). MODEL: Motif-Based Deep Feature Learning for Link Prediction.. IEEE Transactions on Computational Social Systems, 7(2), 503-516. https://doi.org/10.1109/TCSS.2019.2962819.
  • Li, J., Cai, T., Deng, K., Wang, X., Sellis, T., Xia, F. (2020). Community-diversified influence maximization in social networks. Information Systems, 92(Article in press), Article number 101522. https://doi.org/10.1016/j.is.2020.101522.
  • Dong, Y., Fu, Y., Wang, L., Chen, Y., Dong, Y., Li, J. (2020). A Sentiment Analysis Method of Capsule Network Based on BiLSTM. IEEE Access, 8(Article in press), Article number 9007445. https://doi.org/10.1109/ACCESS.2020.2973711.
  • Kong, X., Xia, F., Li, J., Hou, M., Li, M., Xiang, Y. (2020). A Shared Bus Profiling Scheme for Smart Cities Based on Heterogeneous Mobile Crowdsourced Data. IEEE Transactions on Industrial Informatics, 16(2), 1436-1444. https://doi.org/10.1109/TII.2019.2947063.
  • Wang, X., Wang, S., Xin, Y., Yang, Y., Li, J., Wang, X. (2020). Distributed Pregel-based provenance-aware regular path query processing on RDF knowledge graphs. World Wide Web, 23(3), 1465-1496. https://doi.org/10.1007/s11280-019-00739-0.
  • Cui, N., Yang, X., Wang, B., Geng, J., Li, J. (2020). Secure range query over encrypted data in outsourced environments. World Wide Web, 23(1), 491-517. https://doi.org/10.1007/s11280-019-00726-5.
  • Zhang, H., Wang, X., Fan, H., Cai, T., Li, J., Li, X., Leung, VC. (2020). Anchor Vertex Selection for Enhanced Reliability of Traffic Offloading Service in Edge-Enabled Mobile P2P Social Networks. Journal of Communications and Information Networks, 5(2), 217-224. https://doi.org/10.23919/JCIN.2020.9130437.

Conference Publications

  • Cai, T., Li, J., Halda, NA., Mia, A., Yearwood, J., Sellis, T. (2020). Anchored Vertex Exploration for Community Engagement in Social Networks. 2020 IEEE 36th International Conference on Data Engineering (ICDE) (409-420). IEEE. https://doi.org/10.1109/ICDE48307.2020.00042.
  • Li, M., Choudhury, FM., Borovica-Gajic, R., Wang, Z., Xin, J., Li, J. (2020). CrashSim: An Efficient Algorithm for Computing SimRank over Static and Temporal Graphs. 2020 IEEE 36th International Conference on Data Engineering (ICDE) (1141-1152). IEEE. https://doi.org/10.1109/ICDE48307.2020.00103.
  • Chen, L., Liu, C., Zhou, R., Xu, J., Yu, JX., Li, J. (2020). Finding Effective Geo-social Group for Impromptu Activities with Diverse Demands. KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (698-708). Association for Computing Machinery. https://doi.org/10.1145/3394486.3403114.
  • Zhang, F., Wang, X., Li, Z., Li, J. (2020). TransRHS: A Representation Learning Method for Knowledge Graphs with Relation Hierarchical Structure. Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence (2987-2993). International Joint Conferences on Artificial Intelligence Organization. https://doi.org/10.24963/ijcai.2020/413.
  • Zhang, H., Wang, X., Chen, J., Wang, C., Li, J. (2020). D2D-LSTM: LSTM-Based Path Prediction of Content Diffusion Tree in Device-to-Device Social Networks. The Thirty-Fourth AAAI Conference on Artificial Intelligence (295-302). AAAI Press. https://doi.org/10.1609/aaai.v34i01.5363.
  • Cui, N., Yang, X., Wang, B., Li, J., Wang, G. (2020). SVkNN: Efficient Secure and Verifiable k-Nearest Neighbor Query on the Cloud Platform. 2020 IEEE 36th International Conference on Data Engineering (ICDE) (253-264). IEEE. https://doi.org/10.1109/ICDE48307.2020.00029.

Research Projects

  • Building an Aussie Information Recommendation System You Can Trust, Australian Research Council, Linkage Projects (LP23), 2025 ‑ 2029, $105,000.

Research Student Supervision

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