Top of page

Student/Staff Portal
Global Site Navigation

School of Business and Law

Local Section Navigation
You are here: Main Content
  • Professor Jianxin (Kevin) Li

    Professor Jianxin (Kevin) Li

Related Contents

  • See Also
  • Google Scholar
    https://scholar.google.com.au/citations?user=WenZ4JUAAAAJ&hl=en
  • Google Scholar

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

2025

Journal Articles

  • Liu, Z., Li, J., Huang, Y., Cui, N., Pei, L. (2025). Knowledge-based natural answer generation via effective graph learning. Knowledge-Based Systems, 316(May 2025), Article number 113288. https://doi.org/https://doi.org/10.1016/j.knosys.2025.113288.
  • Chen, S., Yao, K., Wang, Y., Huang, X., Chen, Y., Yang, A., Li, J., Min, G. (2025). Multi-Scene Auxiliary Network-Based Road Crack Detection under the Framework of Distributed Edge Intelligence. IEEE Internet of Things Journal, 2025(Article in press), TBD. https://doi.org/10.1109/JIOT.2025.3527233.
  • Li, J., Deng, K., Li, J., Ren, Y. (2025). Session-Oriented Fairness-Aware Recommendation via Dual Temporal Convolutional Networks. IEEE Transactions on Knowledge and Data Engineering, 37(2), 923 - 935. https://doi.org/10.1109/TKDE.2024.3509454.

2024

Journal Articles

  • 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(2024), article number 106155. https://doi.org/10.1016/j.neunet.2024.106155.
  • 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(2024), 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.
  • Cao, S., Wu, L., Zhang, R., Chen, Y., Li, J., Liu, Q. (2024). A Spatial-Temporal Gated Hypergraph Convolution Network for Traffic Prediction. IEEE Transactions on Vehicular Technology, 73(7), 9546-9559. https://doi.org/10.1109/TVT.2024.3365213.
  • Fan, Y., Ren, T., Huang, C., Zheng, B., Jing, Y., He, Z., Li, J., Li, J. (2024). A confidence-based knowledge integration framework for cross-domain table question answering. Knowledge-Based Systems, 306(2024), article number 112718. https://doi.org/10.1016/j.knosys.2024.112718.
  • Zhang, Y., Kong, X., Shen, Z., Li, J., Yi, Q., Shen, G. (2024). A survey on temporal knowledge graph embedding: Models and applications. Knowledge-Based Systems, 304(NOV), Article number 112454. https://doi.org/10.1016/J.KNOSYS.2024.112454.
  • Kong, X., Chen, Z., Li, J., Bi, J., Shen, G. (2024). KGNext: Knowledge-Graph-Enhanced Transformer for Next {POI} Recommendation With Uncertain Check-Ins. IEEE Transactions on Computational Social Systems, 11(5), 6637--6648. https://doi.org/10.1109/TCSS.2024.3396506.
  • Zhao, T., Song , X., Li, M., Li, J., Luo, W., Razzak, I. (2024). Distributed Optimization of Graph Convolutional Network Using Subgraph Variance. IEEE Transactions on Neural Networks and Learning Systems, 35(8), 10764-10775. https://doi.org/10.1109/TNNLS.2023.3243904.
  • Cui, N., Wang, D., Zhu, H., Li, J., Xu, J., Yang, X. (2024). Enabling Verifiable and Secure Range Query in Multi-User Setting Under Cloud Environments. IEEE Transactions on Knowledge and Data Engineering, 36(12), 8148-8163. https://doi.org/10.1109/TKDE.2024.3419930.
  • 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.
  • Shen, S., Shen, G., Dai, Z., Zhang, K., Kong, X., Li, J. (2024). Asynchronous Federated Deep-Reinforcement-Learning-Based Dependency Task Offloading for UAV-Assisted Vehicular Networks. IEEE Internet of Things Journal, 11(19), 31561-31574. https://doi.org/10.1109/JIOT.2024.3418488.
  • Zhang, Z., Wu, L., He, D., Li, J., Lu, N., Wei, X. (2024). Using Third-Party Auditor to Help Federated Learning: An Efficient Byzantine-Robust Federated Learning. IEEE Transactions on Sustainable Computing, 9(6), 848-861. https://doi.org/10.1109/TSUSC.2024.3379440.

Conference Publications

  • 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.
  • Long, A., Wang, Y., Huang, X., Han, W., Fan, R., Chen, Y., Li, J. (2024). An Efficient Device Placement Method for Distributed Training of Multi-branch Neural Network-Based Remote Sensing Interpretation. Web Information Systems Engineering - WISE 2024 (278–288). Springer. https://doi.org/10.1007/978-981-96-0570-5_20.
  • Cui, N., Wang, D., Ma, Y., Wang, M., Qian, K., Li, J. (2024). Searching Untrusted Clouds Meets Multiple Keys: Privacy-Preserving Spatio-Textual Top-k Query. Database Systems for Advanced Applications - 29th International Conference, DASFAA 2024 (190–209). Springer. https://doi.org/10.1007/978-981-97-5562-2_12.
  • 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.
  • Zhang, X., Chen, X., Han, W., Huang, X., Chen, Y., Li, J., Wang, L. (2024). Satellite-Driven Deep Learning Algorithm for Bathymetry Extraction. Web Information Systems Engineering - WISE 2024 (313–325). Springer. https://doi.org/10.1007/978-981-96-0573-6_23.
  • Wang, L., Kong, X., Li, J., Shu, C., Shen, G. (2024). Exploring Personalized Intents with Knowledge Graph for Federated Self-supervised Recommendation. 20th International Conference on Intelligent Computing (ICIC) (402–414). Springer. https://doi.org/10.1007/978-981-97-5663-6_34.
  • Ding, X., Wang, Y., Huang, X., Chen, Y., Li, J. (2024). A Learned Image Compression Method for Electricity Tower Monitoring Based on the Transformer-CNN-Based Network. 8th International Joint Conference on Advanced Web and Big Data (APWeb) and Web-Age Information Management (WAIM) (345–360). Springer. https://doi.org/10.1007/978-981-97-7232-2_23.
  • Zheng, X., Chen, S., Wang, S., Huang, X., Chen, Y., Li, J., Han, W. (2024). MSCFNet: A Multi-scale Spatial and Channel Fusion Network for Geological Environment Remote Sensing Interpreting. 8th International Joint Conference on Advanced Web and Big Data (APWeb) and Web-Age Information Management (WAIM) (18-30). Springer. https://doi.org/10.1007/978-981-97-7238-4_2.

2023

Journal Articles

  • 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(2023), 1-14. https://doi.org/10.1016/j.ins.2023.01.131.
  • Fang, U., Li, J., Lu, X., Mian, A., Gu, Z. (2023). Robust image clustering via context-aware contrastive graph learning. Pattern Recognition, 138(2023), article number 109340. https://doi.org/10.1016/j.patcog.2023.109340.
  • 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.
  • 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, 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(2023), 365-379. https://doi.org/10.1109/TIFS.2022.3221899.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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(2023), article number 110921. https://doi.org/10.1016/j.knosys.2023.110921.
  • 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.
  • Xu, C., Zhao, W., Zhao, J., Guan, Z., Song , X., Li, J. (2023). Uncertainty-Aware Multiview Deep Learning for Internet of Things Applications. IEEE Transactions on Industrial Informatics, 19(2), 1456-1466. https://doi.org/10.1109/TII.2022.3206343.
  • Cai, J., Wu, L., Wu, D., Li, J., Wu, X. (2023). Multi-Dimensional Information Alignment in Different Modalities for Generalized Zero-Shot and Few-Shot Learning. Information (Basel), 14(3), Article number 148. https://doi.org/10.3390/info14030148.
  • Luo, H., Yang, F., Feng, X., Dong, Y., Zhang, Y., Min , G., Li, J. (2023). Multiview Learning for Impervious Surface Mapping Using High-Resolution Multispectral Imagery and LiDAR Data. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 16(-), 7866-7881. https://doi.org/10.1109/JSTARS.2022.3221625.
  • Cui, N., Qian, K., Cai, T., Li, J., Yang, X., Cui, J., Zhong, H. (2023). Towards Multi-User, Secure, and Verifiable kNN Query in Cloud Database. IEEE Transactions on Knowledge and Data Engineering, 35(9), 9333-9349. https://doi.org/10.1109/TKDE.2023.3237879.
  • Zhang, Z., Wu, L., He, D., Li, J., Cao, S., Wu, X. (2023). Communication-Efficient and Byzantine-Robust Federated Learning for Mobile Edge Computing Networks. IEEE Network: the magazine of global information exchange, 37(4), 112-119. https://doi.org/10.1109/MNET.006.2200651.

Conference Publications

  • 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.
  • 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.
  • 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.
  • 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.
  • Cai, B., Xiang, Y., Gao, L., Zhang, H., Li, Y., Li, J. (2023). Temporal Knowledge Graph Completion: A Survey. Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence (IJCAI 2023) (6545-6553). IJCAI Organization. https://doi.org/10.24963/IJCAI.2023/734.
  • Gu, Z., Wang, H., Xiang, X., Zhou, K., Feng, W., Li, J. (2023). CY-Apollo A Multi-view Profile System for Complicated Network Attacks. Web and Big Data – APWeb-WAIM (489–495). Springer, Singapore. https://doi.org/10.1007/978-981-97-2421-5_33.
  • Song, H., Wen, Y., Song, X., Sun, S., Cai, T., Li, J. (2023). ECS-STPM: An Efficient Model for Tunnel Fire Anomaly Detection. Web and Big Data – APWeb-WAIM 2023 International Joint Conference (277–293). Springer. https://doi.org/10.1007/978-981-97-2421-5_19.
  • 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.

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(2022), article number 110036. https://doi.org/10.1016/j.knosys.2022.110036.
  • Yang, S., Cai, B., Cai, T., Song, X., Jiang , J., Li, B., Li, J. (2022). Robust cross-network node classification via constrained graph mutual information. Knowledge-Based Systems, 257(December), Article number 109852. https://doi.org/10.1016/j.knosys.2022.109852.
  • 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(2022), article number 102712. https://doi.org/10.1016/j.sysarc.2022.102712.
  • 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, 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(2022), article number 107922. https://doi.org/10.1016/j.knosys.2021.107922.
  • 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.
  • 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.
  • 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(2022), article number 108274. https://doi.org/10.1016/j.knosys.2022.108274.
  • 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.
  • Wu, L., Cao, S., Chen, Y., Li, J., Cui, J., Chang, Y. (2022). A cooperative mobility model for multiple autonomous vehicles. Computer Communications, 195(2022), 148-161. https://doi.org/10.1016/j.comcom.2022.08.017.
  • Huang, X., Wang, S., Zhang , M., Hu, T., Hohl, A., She, B., Gong, X., Li, J., Liu, X., Gruebner, O., Liu, R., Li, X., Liu, Z., Ye, X., Li, Z. (2022). Social media mining under the COVID-19 context: Progress, challenges, and opportunities. International Journal of Applied Earth Observation and Geoinformation, 113(September), Article number 102967. https://doi.org/10.1016/j.jag.2022.102967.
  • 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(2022), 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.
  • 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.

Conference Publications

  • 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.
  • Cao, S., Wu, L., Zhang, R., Li, J., Wu, D. (2022). Capturing Local and Global Spatial-Temporal Correlations of Spatial-Temporal Graph Data for Traffic Flow Prediction. Proceedings of the International Joint Conference on Neural Networks (8 pages). IEEE. https://doi.org/10.1109/IJCNN55064.2022.9892616.
  • 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.
  • 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.
  • Chen, Z., Wang, X., Wang, C., Li, J. (2022). Explainable Link Prediction in Knowledge Hypergraphs. International Conference on Information & Knowledge Management Proceedings (262-271). Association for Computing Machinery (ACM). https://doi.org/10.1145/3511808.3557316.
  • Hong, W., Yin, J., You, M., Wang, H., Cao, J., Li, J., Liu , M. (2022). Graph Intelligence Enhanced Bi-Channel Insider Threat Detection. Network and System Security, NSS 2022 (86–102). Springer Nature. https://doi.org/10.1007/978-3-031-23020-2_5.
  • Wu, J., Huang, G., Zarei, R., Li, J., Huang, G., Zheng, H., He, J., Chi, C. (2022). Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms. 26th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2022) (29–40). Springer Nature. https://doi.org/10.1007/978-3-031-05933-9_3.
  • Wang, M., Wu, L., Li, J., Wu, D., Ma, C. (2022). Urban Traffic Signal Control with Reinforcement Learning from Demonstration Data. Proceedings of the International Joint Conference on Neural Networks (8 pages). IEEE. https://doi.org/10.1109/IJCNN55064.2022.9892538.
  • Xia, J., Tang, Y., Zhao, T., Li, J. (2022). AuCM: Course Map Data Analytics for Australian IT Programs in Higher Education. Advanced Data Mining and Applications (158–172). Springer. https://doi.org/10.1007/978-3-031-22064-7_13.
  • Cai, J., Wu, L., Wu, D., Li, J., Wu, X. (2022). Multi-dimensional alignment via Variational Autoencoders for Generalized Zero-Shot and Few-Shot Learning. Proceedings of the 2022 IEEE International Conference on Behavioural and Social Computing, BESC 2022 (4 pages). IEEE. https://doi.org/10.1109/BESC57393.2022.9995148.
  • 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.

2021

Journal Articles

  • 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.
  • 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(2021), article number 102544. https://doi.org/10.1016/j.jobe.2021.102544.
  • 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(2021), 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.
  • 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(2021), article number 103066. https://doi.org/10.1016/j.jnca.2021.103066.
  • 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(2021), 53317-53325. https://doi.org/10.1109/ACCESS.2021.3070343.
  • 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(2021), 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(2021), 36-48. https://doi.org/10.1016/j.neucom.2021.05.066.
  • 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(2021), article number 6610965. https://doi.org/10.1155/2021/6610965.
  • Li, Z., Wang, X., Li, J., Zhang, Q. (2021). Deep attributed network representation learning of complex coupling and interaction. Knowledge-Based Systems, 212(2021), article number 106618. https://doi.org/10.1016/j.knosys.2020.106618.
  • 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.
  • 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(2021), 510-523. https://doi.org/10.1016/j.ins.2021.08.100.
  • 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(2021), 61-74. https://doi.org/10.1016/j.ins.2021.01.047.
  • 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.
  • 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(2021), 238-258. https://doi.org/10.1016/j.ins.2021.05.081.

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, 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(2020), article number 101522. https://doi.org/10.1016/j.is.2020.101522.
  • 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, 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(2020), 39078-39090. https://doi.org/10.1109/ACCESS.2019.2962634.
  • 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.
  • 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.
  • 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(2020), 37014-37020. 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.

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.
  • 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.
  • 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.
  • 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, 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.
  • 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.

Research Projects

  • Building an Aussie Information Recommendation System You Can Trust, Australian Research Council, Linkage Projects (LP23), 2025 ‑ 2029, $105,000.
  • Beyond Query: Exploratory Subgraph Discovery and Search System, Australian Research Council, Discovery Projects (DP24), 2024 ‑ 2027, $655,744.
  • Personalised Privacy-Preserving Network Data Publishing System, Australian Research Council, Linkage Projects (LP22), 2023 ‑ 2026, $15,000.
  • Personalised Online Learning Analytics by Exploring Multilayer Graph Data, Australian Research Council, Grant - Linkage (Projects), 2019 ‑ 2025, $27,651.

Research Student Supervision

Skip to top of page