Jiming LIU, Prof

Accepting PhD Students

PhD projects

Machine Learning; AI-Enabled Disease Control; Complex Systems/Networks

1988 …2024

Research activity per year

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  • 2024

    LLaCE: Locally Linear Contrastive Embedding

    Liu, R., Liu, Y. & Liu, J., 13 May 2024, WWW '24: Companion Proceedings of the ACM on Web Conference 2024. 1st ed. Association for Computing Machinery (ACM), p. 517-520 4 p. (WWW 2024 Companion - Companion Proceedings of the ACM Web Conference).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
  • 2023

    Epidemiology-aware Deep Learning for Infectious Disease Dynamics Prediction

    Liu, M., Liu, Y. & Liu, J., 21 Oct 2023, CIKM 2023 - Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 4084-4088 5 p. (International Conference on Information and Knowledge Management, Proceedings).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • 2021

    Cost-aware Graph Generation: A Deep Bayesian Optimization Approach

    Cui, J., Yang, B., Sun, B. & Liu, J., 18 May 2021, 35th AAAI Conference on Artificial Intelligence, AAAI 2021. AAAI press, p. 7142-7150 9 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 35, no. 8)(AAAI-21/ IAAI-21/ EAAI-21 Proceedings).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    2 Citations (Scopus)
  • LenC: A redundancy-aware length control framework for extractive summarization

    Li, S., Su, W. & Liu, J., 20 Aug 2021, 2021 4th International Conference on Pattern Recognition and Artificial Intelligence, PRAI 2021. IEEE, p. 1-7 7 p. (Proceedings of International Conference on Pattern Recognition and Artificial Intelligence).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • 2020

    AutoTrajectory: Label-Free Trajectory Extraction and Prediction from Videos Using Dynamic Points

    Ma, Y., Zhu, X., Cheng, X., Yang, R., Liu, J. & Manocha, D., 28 Nov 2020, Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part XIII. Vedaldi, A., Bischof, H., Brox, T. & Frahm, J-M. (eds.). 1st ed. Springer Cham, p. 646-662 17 p. (Lecture Notes in Computer Science; vol. 12358)(Image Processing, Computer Vision, Pattern Recognition, and Graphics (LNIP))(ECCV: European Conference on Computer Vision).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)
  • Mesoscale Anisotropically-Connected Learning

    Tan, Q., Liu, Y. & Liu, J., 17 Sept 2020, Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings. Helic, D., Stettinger, M., Felfernig, A., Leitner, G. & Ras, Z. W. (eds.). 1st ed. Cham: Springer, p. 171-180 10 p. (Lecture Notes in Computer Science; vol. 12117)(ISMIS: International Symposium on Methodologies for Intelligent Systems).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • Metric-Guided Multi-task Learning

    Ren, J., Liu, Y. & Liu, J., 17 Sept 2020, Foundations of Intelligent Systems: 25th International Symposium, ISMIS 2020, Graz, Austria, September 23–25, 2020, Proceedings. Helic, D., Stettinger, M., Felfernig, A., Leitner, G. & Ras, Z. W. (eds.). 1st ed. Cham: Springer, p. 21-31 11 p. (Lecture Notes in Computer Science; vol. 12117)(ISMIS: International Symposium on Methodologies for Intelligent Systems).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • Multi-objective Discrete Moth-Flame Optimization for Complex Network Clustering

    Liu, X., Zhang, F., Li, X., Gao, C. & LIU, J., 17 Sept 2020, Foundations of Intelligent Systems - 25th International Symposium, ISMIS 2020, Proceedings. Helic, D., Stettinger, M., Felfernig, A., Leitner, G. & Ras, Z. W. (eds.). Springer Science and Business Media Deutschland GmbH, p. 372-382 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12117 LNAI).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    2 Citations (Scopus)
  • 2019

    Deep inverse reinforcement learning for sepsis treatment

    Yu, C., Ren, G. & LIU, J., Jun 2019, 2019 IEEE International Conference on Healthcare Informatics, ICHI 2019. IEEE, 8904645. (2019 IEEE International Conference on Healthcare Informatics, ICHI 2019).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    28 Citations (Scopus)
  • Epirep: Learning node representations through epidemic dynamics on networks

    SHI, B., Zhong, J., Bao, Q., Qiu, H. & LIU, J., 14 Oct 2019, Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019. Barnaghi, P., Gottlob, G., Manolopoulos, Y., Tzouramanis, T. & Vakali, A. (eds.). Association for Computing Machinery (ACM), p. 486-492 7 p. (Proceedings - 2019 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2019).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    6 Citations (Scopus)
  • Ewgan: Entropy-based wasserstein gan for imbalanced learning

    Ren, J., LIU, Y. & LIU, J., 17 Jul 2019, 33rd AAAI Conference on Artificial Intelligence, AAAI 2019, 31st Innovative Applications of Artificial Intelligence Conference, IAAI 2019 and the 9th AAAI Symposium on Educational Advances in Artificial Intelligence, EAAI 2019. AAAI press, p. 10011-10012 2 p. (Proceedings of the AAAI Conference on Artificial Intelligence).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    20 Citations (Scopus)
  • Message from the general and program chairs, IoP 2019

    Chen, L., Liu, J., Lopez-De-Ipina, D., Mulvenna, M. & Zhou, J., Aug 2019, Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019. IEEE, p. xci 1 p. (Proceedings - IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)).

    Research output: Chapter in book/report/conference proceedingConference proceeding

    Open Access
  • Multi-Modal Media Retrieval via Distance Metric Learning for Potential Customer Discovery

    LIU, Y., Gu, Z., Ko, T. H. & LIU, J., 10 Jan 2019, Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2018. IEEE, p. 310-317 8 p. 8609608. (Proceedings - 2018 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2018).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)
  • 2018

    Bayesian network structure learning: The two-step clustering-based algorithm

    Zhang, Y., Liu, J. & Liu, Y., 8 Feb 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 8183-8184 2 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 32, no. 1).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    1 Citation (Scopus)
  • Constructing weighted networks based on EEG data segmentation for brain wave pattern recognition

    Zhang, H. L., Li, X., LIU, J. & CHEUNG, Y. M., 8 Jun 2018, Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018. IEEE, p. 852-855 4 p. (Proceedings - 2018 10th International Conference on Advanced Computational Intelligence, ICACI 2018).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    2 Citations (Scopus)
  • Group sparse Bayesian learning for active surveillance on epidemic dynamics

    Pei, H., Yang, B., Liu, J. & Dong, L., 8 Feb 2018, 32nd AAAI Conference on Artificial Intelligence, AAAI 2018. AAAI press, p. 800-807 8 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 32, no. 1).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    16 Citations (Scopus)
  • Message from SocialCom 2018 Chairs

    Liu, J., Yang, J., Lee, W., Caton, S. & Wang, Y., Dec 2018, Proceedings - 16th IEEE International Symposium on Parallel and Distributed Processing with Applications, 17th IEEE International Conference on Ubiquitous Computing and Communications, 8th IEEE International Conference on Big Data and Cloud Computing, 11th IEEE International Conference on Social Computing and Networking and 8th IEEE International Conference on Sustainable Computing and Communications, ISPA/IUCC/BDCloud/SocialCom/SustainCom 2018. IEEE, p. XXXIII 1 p. (Proceedings - IEEE International Conference on Parallel & Distributed Processing with Applications, Ubiquitous Computing & Communications, Big Data & Cloud Computing, Social Computing & Networking, Sustainable Computing & Communications (ISPA/IUCC/BDCloud/SocialCom/SustainCom)).

    Research output: Chapter in book/report/conference proceedingConference proceeding

    Open Access
  • Motif-aware diffusion network inference

    Tan, Q., LIU, Y. & LIU, J., 2018, Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Proceedings. Webb, G. I., Phung, D., Ganji, M., Rashidi, L., Tseng, V. S. & Ho, B. (eds.). Springer Verlag, p. 638-650 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10939 LNAI).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • Partially observable reinforcement learning for sustainable active surveillance

    Chen, H., Yang, B. & LIU, J., 2018, Knowledge Science, Engineering and Management - 11th International Conference, KSEM 2018, Proceedings. Liu, W., Giunchiglia, F. & Yang, B. (eds.). Springer Verlag, p. 425-437 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11062 LNAI).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    6 Citations (Scopus)
  • Preface

    Ceci, M., Japkowicz, N., Liu, J., Papadopoulos, G. A. & Raś, Z. W., 7 Oct 2018, Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings. Ceci, M., Japkowicz, N., Liu, J., Papadopoulos, G. A. & Raś, Z. W. (eds.). 1st ed. Cham: Springer, p. V-VI 2 p. (Lecture Notes in Computer Science; vol. 11177)(Lecture Notes in Artificial Intelligence)(ISMIS: International Symposium on Methodologies for Intelligent Systems).

    Research output: Chapter in book/report/conference proceedingConference proceeding

    1 Citation (Scopus)
  • Public health surveillance with incomplete data - Spatio-temporal imputation for inferring infectious disease dynamics

    Tan, Q., Liu, J., Shi, B., Liu, Y. & Zhou, X. N., 24 Jul 2018, Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018. IEEE, p. 255-264 10 p. 8419369. (Proceedings - 2018 IEEE International Conference on Healthcare Informatics, ICHI 2018).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    2 Citations (Scopus)
  • 2017

    Bayesian Nominal Matrix Factorization for Mining Daily Activity Patterns

    CHEN, L., CHEUNG, K. W., LIU, J. & NG, J. K. Y., 12 Jan 2017, Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016. IEEE, p. 335-342 8 p. 7817071. (Proceedings - 2016 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2016).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)
  • Brand key asset discovery via cluster-wise biased discriminant projection

    Liu, Y., Gu, Z., Ko, T. H. & Liu, J., 23 Aug 2017, Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017. Association for Computing Machinery (ACM), p. 284-290 7 p. (Proceedings - 2017 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2017).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • Extracting sample data based on poisson distribution

    Zhang, H. L., LIU, J., Li, T., Xue, Y., Xu, S. & Chen, J., 14 Nov 2017, Proceedings of 2017 International Conference on Machine Learning and Cybernetics, ICMLC 2017. IEEE, p. 374-378 5 p. (Proceedings of 2017 International Conference on Machine Learning and Cybernetics, ICMLC 2017; vol. 2).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    9 Citations (Scopus)
  • Ontology-based graph visualization for summarized view

    HUANG, X., CHOI, K. K., XU, J., CHEUNG, K. W., Zhang, Y. & LIU, J., 6 Nov 2017, CIKM 2017 - Proceedings of the 2017 ACM Conference on Information and Knowledge Management. Association for Computing Machinery (ACM), p. 2115-2118 4 p. (International Conference on Information and Knowledge Management, Proceedings; vol. Part F131841).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    3 Citations (Scopus)
  • 2016

    Adaptive noise immune cluster ensemble using affinity propagation

    Yu, Z., Han, G., Li, L., LIU, J. & Zhang, J., May 2016, 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. IEEE, p. 1454-1455 2 p. 7498371. (2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • Complex social network partition for balanced subnetworks

    Zhang, H. L., LIU, J., Feng, C., Pang, C., Li, T. & He, J., 31 Oct 2016, 2016 International Joint Conference on Neural Networks, IJCNN 2016. IEEE, p. 4177-4182 6 p. 7727744. (Proceedings of the International Joint Conference on Neural Networks; vol. 2016-October).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)
  • Inferring latent co-activation patterns for information diffusion

    Bao, Q., CHEUNG, K. W., LIU, J. & SONG, C., 2 Feb 2016, Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015. IEEE, p. 485-492 8 p. 7396852. (Proceedings - 2015 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2015; vol. 1).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)
  • Inferring motif-based diffusion models for social networks

    Bao, Q., CHEUNG, K. W. & Liu, J., Jul 2016, Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence (IJCAI-16). AAAI press, Vol. 2016-January. p. 3677-3683 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    8 Citations (Scopus)
  • 2015

    Adaptive Noise Immune Cluster Ensemble Using Affinity Propagation

    Yu, Z., Li, L., LIU, J., Zhang, J. & Han, G., 6 Jul 2015, 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016. 12 ed. Vol. 27. p. 3176-3189 14 p. (IEEE Transactions on Knowledge and Data Engineering).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    89 Citations (Scopus)
  • Elderly Mobility and Daily Routine Analysis Based on Behavior-Aware Flow Graph Modeling

    CHEN, L., CHEUNG, K. W. & LIU, J., 8 Dec 2015, Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015. Fu, W-T., Balakrishnan, P., Harabagiu, S., Wang, F. & Srivatsava, J. (eds.). IEEE, p. 427-436 10 p. 7349721. (Proceedings - 2015 IEEE International Conference on Healthcare Informatics, ICHI 2015).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    2 Citations (Scopus)
  • Medical error prevention based on path integration system approach

    Chan, S. W., LEUNG, C. H. C., Cheng, V. & LIU, J., 26 Jan 2015, Proceedings - 14th IEEE International Conference on Data Mining Workshops, ICDMW 2014. Zhou, Z-H., Wang, W., Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. IEEE Computer Society, p. 856-861 6 p. 7022685. (IEEE International Conference on Data Mining Workshops, ICDMW; vol. 2015-January, no. January).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
  • 2014

    Inferring Metapopulation Based Disease Transmission Networks

    Yang, X., Liu, J., Cheung, K. W. & Zhou, X. N., 8 May 2014, Advances in Knowledge Discovery and Data Mining: 18th Pacific-Asia Conference, PAKDD 2014, Tainan, Taiwan, May 13-16, 2014. Proceedings, Part II. Tseng, V. S., Ho, T. B., Zhou, Z-H., Chen, A. L. P. & Kao, H-Y. (eds.). 1st ed. Cham: Springer, p. 385-399 15 p. (Lecture Notes in Computer Science; vol. 8444)(Lecture Notes in Artificial Intelligence)(PAKDD: Pacific-Asia Conference on Knowledge Discovery and Data Mining).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    4 Citations (Scopus)
  • Modeling and mining spatiotemporal patterns of infection risk from heterogeneous data for active surveillance planning

    Yang, B., Guo, H., Yang, Y., Shi, B., Zhou, X. & Liu, J., 1 Aug 2014, Proceedings of the 28th AAAI Conference on Artificial Intelligence and the 26th Innovative Applications of Artificial Intelligence Conference and the 5th Symposium on Educational Advances in Artificial Intelligence. AAAI press, p. 493-499 7 p. (Proceedings of the AAAI Conference on Artificial Intelligence; vol. 28, no. 1).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    Open Access
    11 Citations (Scopus)
  • Modeling and Mining Spatiotemporal Social Contact of Metapopulation from Heterogeneous Data

    Yang, B., Pei, H., Chen, H., LIU, J. & Xia, S., 1 Jan 2014, Proceedings - 14th IEEE International Conference on Data Mining, ICDM 2014. Kumar, R., Toivonen, H., Pei, J., Zhexue Huang, J. & Wu, X. (eds.). January ed. IEEE, p. 630-639 10 p. 7023380. (Proceedings - IEEE International Conference on Data Mining, ICDM; vol. 2015-January, no. January).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • Multi-view based adaboost classifier ensemble for class prediction from gene expression profiles

    Li, L., Yu, Z., LIU, J., You, J., Wong, H. S. & Han, G., 4 Dec 2014, Proceedings - International Conference on Pattern Recognition. IEEE, p. 178-183 6 p. 6976751. (Proceedings - International Conference on Pattern Recognition).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • 2013

    A complex systems approach to infectious disease surveillance and response

    SHI, B., Xia, S. & LIU, J., 2013, Brain and Health Informatics - International Conference, BHI 2013, Proceedings. p. 524-535 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8211 LNAI).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    6 Citations (Scopus)
  • Detecting stochastic temporal network motifs for human communication patterns analysis

    Liu, K., CHEUNG, K. W. & LIU, J., Aug 2013, Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013. IEEE, p. 533-540 8 p. (Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2013).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    8 Citations (Scopus)
  • Preface

    Rodrigues, P. P., Pechenizkiy, M., Gama, J., Correia, R. C., Liu, J., Traina, A., Lucas, P. & Soda, P., Jun 2013, Proceedings of 26th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2013. IEEE, p. iii 1 p. (Proceedings of IEEE International Symposium on Computer-Based Medical Systems, CBMS).

    Research output: Chapter in book/report/conference proceedingConference proceeding

    Open Access
  • Social collaborative filtering by trust

    Yang, B., Lei, Y., Liu, D. & Liu, J., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 2747-2753 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    197 Citations (Scopus)
  • Solving complex decision-making problems through agent-matrices cooperation

    Zhang, H. L., LIU, J., Tang, Y. & Pang, C., 2013, Web Information Systems Engineering, WISE 2013 - 14th International Conference, Proceedings. PART 2 ed. p. 489-498 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8181 LNCS, no. PART 2).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • 2012

    A naïve hypergraph model of brain networks

    Wang, Z., LIU, J., Zhong, N., Qin, Y., Zhou, H., Yang, J. & Li, K., 2012, Brain Informatics - International Conference, BI 2012, Proceedings. p. 119-129 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7670 LNAI).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • An enhanced mechanism for agent capability reuse

    Zhang, H. L., LIU, J., Pang, C. & Li, X., 2012, Active Media Technology - 8th International Conference, AMT 2012, Proceedings. p. 115-123 9 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7669 LNCS).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

  • Clustering-based media analysis for understanding human emotional reactions in an extreme event

    Gao, C. & LIU, J., 2012, Foundations of Intelligent Systems - 20th International Symposium, ISMIS 2012, Proceedings. p. 125-135 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7661 LNAI).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    5 Citations (Scopus)
  • Detecting multiple stochastic network motifs in network data

    Liu, K., CHEUNG, K. W. & LIU, J., 2012, Advances in Knowledge Discovery and Data Mining - 16th Pacific-Asia Conference, PAKDD 2012, Proceedings. PART 2 ed. p. 205-217 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7301 LNAI, no. PART 2).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    6 Citations (Scopus)
  • Extracting behavioral motifs for characterizing human daily activities in smart environments

    Liu, K., Cheung, K. W. & Liu, J., Aug 2012, ACM SIGKDD Workshop on Health Informatics (HI-KDD 2012). Association for Computing Machinery (ACM)

    Research output: Chapter in book/report/conference proceedingConference proceeding

  • Preface

    Chen, L., Felfernig, A., Liu, J. & Raś, Z. W., 12 Oct 2012, Foundations of Intelligent Systems: 20th International Symposium, ISMIS 2012, Macau, China, December 4-7, 2012, Proceedings. Chen, L., Felfernig, A., Liu, J. & Raś, Z. W. (eds.). 1st ed. Berlin, Heidelberg: Springer, p. V-VI 2 p. (Lecture Notes in Computer Science; vol. 7661)(Lecture Notes in Artificial Intelligence)(ISMIS: International Symposium on Methodologies for Intelligent Systems).

    Research output: Chapter in book/report/conference proceedingConference proceeding

    1 Citation (Scopus)
  • Self-organizing agents for efficient sustainable resource utilization

    SHI, B. & LIU, J., 2012, Proceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012. p. 510-517 8 p. 6511615. (Proceedings - 2012 IEEE/WIC/ACM International Conference on Intelligent Agent Technology, IAT 2012; vol. 2).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    1 Citation (Scopus)
  • 2011

    Adaptive immunization in dynamic networks

    LIU, J. & Gao, C., 2011, Foundations of Intelligent Systems - 19th International Symposium, ISMIS 2011, Proceedings. p. 673-683 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6804 LNAI).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review

    3 Citations (Scopus)
  • Community adaptive educational games

    LEUNG, C. H. C., Li, Y., LIU, J. & Milani, A., 2011, New Horizons in Web-Based Learning - ICWL 2010 Workshops: STEG, CICW, WGLBWS, and IWKDEWL, Revised Selected Papers. p. 45-54 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6537 LNCS).

    Research output: Chapter in book/report/conference proceedingConference proceedingpeer-review