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  • 2021

    Hyper meta-path contrastive learning for multi-behavior recommendation

    YANG, H., CHEN, H., LI, L., YU, P. S. & XU, G., 2021, Proceedings of 21st IEEE International Conference on Data Mining. BAILEY, J., MIETTINEN, P., KOH, Y. S., TAO, D. & WU, X. (eds.). Danvers, MA: IEEE, p. 787-796

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    50 Citations (Scopus)

  • Stochastic intervention for causal effect estimation

    DUONG, T. D., LI, Q. & XU, G., 2021, Proceedings of 2021 International Joint Conference on Neural Networks (IJCNN). Danvers, MA: IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    6 Citations (Scopus)

  • TagPick: A system for bridging micro-video hashtags and e-commerce categories

    HE, L., WANG, D., WANG, H., CHEN, H. & XU, G., Oct 2021, Proceedings of the 30th ACM International Conference on Information and Knowledge Management, CIKM '21. New York: Association for Computing Machinery, p. 4721-4724

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    3 Citations (Scopus)

  • Temporal meta-path guided explainable recommendation

    CHEN, H., LI, Y., SUN, X., XU, G. & YIN, H., 2021, Proceedings of the 14th ACM International Conference on Web Search and Data Mining. New York: The Association for Computing Machinery, p. 1056-1064

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    76 Citations (Scopus)

  • TFROM: A two-sided fairness-aware recommendation model for both customers and providers

    WU, Y., CAO, J., XU, G. & TAN, Y., Jul 2021, Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval. New York: The Association for Computing Machinery, p. 1013-1022

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    63 Citations (Scopus)

  • UCBVis: Understanding customer behavior sequences with visual interactive system

    ISLAM, M. R., RAZZAK, I., WANG, X., TILOCCA, P. & XU, G., Jul 2021, Proceedings of 2021 International Joint Conference on Neural Networks, IJCNN. USA: IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    7 Citations (Scopus)

  • Where are we in embedding spaces?

    ZHANG, S., CHEN, H., MING, X., CUI, L., YIN, H. & XU, G., Aug 2021, Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. New York: Association for Computing Machinery, p. 2223-2231

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    20 Citations (Scopus)

  • 序言

    張仁良, 2021, 感恩與迴響：羅富國校友會七十五周年紀念特刊. 江慧芬 (ed.). 香港: 羅富國校友會, p. 4

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • 推薦序

    張仁良, Dec 2021, 運動與癌症：講是又講非. 香港: 一丁文化

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • 2020

    Electricity price forecasting using convolution and LSTM models

    MITTAL, D. A., LIU, S. & XU, G., Nov 2020, Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020. Danvers, MA: IEEE, 9348313

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    8 Citations (Scopus)

  • FAST: A fairness assured service recommendation strategy considering service capacity constraint

    WU, Y., CAO, J. & XU, G., 2020, Service-Oriented Computing: 18th International Conference, ICSOC 2020, Dubai, United Arab Emirates, December 14–17, 2020, Proceedings. KAFEZA, E., BENATALLAH, B., MARTINELLI, F., HACID, H., BOUGUETTAYA, A. & MOTAHARI, H. (eds.). Springer, p. 287-303

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    4 Citations (Scopus)

  • Joint relational dependency learning for sequential recommendation

    WANG, X., LI, Q., ZHANG, W., XU, G., LIU, S. & ZHU, W., 2020, Advances in knowledge discovery and data mining: 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11–14, 2020, proceedings, part I. LAUW, H. W., WONG, R.C.-W., NTOULAS, A., LIM, E.-P., NG, S.-K. & PAN, S. J. (eds.). Cham: Springer, p. 168-180

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    8 Citations (Scopus)

  • Leveraging sentiment distributions to distinguish figurative from literal health reports on Twitter

    BIDDLE, R., JOSHI, A., LIU, S., PARIS, C. & XU, G., Apr 2020, Proceedings of The Web Conference 2020. New York: Association for Computing Machinery (ACM), p. 1217-1227

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    Open Access
    39 Citations (Scopus)

  • MHIVis: Visual analytics for exploring mental illness of policyholders in life insurance industry

    ISLAM, M. R., LIU, S., RAZZAK, I., KABIR, M. A., WANG, X., TILOCCA, P. & XU, G., 2020, Proceedings of 2020 7th IEEE International Conference on Behavioural and Social Computing, BESC 2020. USA: IEEE, 9348301

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    9 Citations (Scopus)

  • Perf-AL: Performance prediction for configurable software through adversarial learning

    SHU, Y., SUI, Y., ZHANG, H. & XU, G., Oct 2020, Proceedings of the 14th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM). New York: Association for Computing Machinery, 3410677

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    9 Citations (Scopus)

  • 序一：紅包裏的祝福

    張仁良, Jun 2020, 多媒體與中國語文及文化教學. 何志恆, 馮志弘 & 李婉薇 (eds.). 香港: 學術專業圖書中心, p. 7-9

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • 序二

    張仁良, Oct 2020, 直資人語：直資學校校長文集. 香港: 南華早報, p. 4-5

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • 校長序

    張仁良, May 2020, 父母童行：75個實證為本的家教貼士. 香港: 香港教育大學兒童與家庭科學中心, p. 1-2

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • 2019

    A boundary-aware neural model for nested named entity recognition

    ZHENG, C., CAI, Y., XU, J., LEUNG, H.-F. & XU, G., 2019, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP). Hong Kong, China: Association for Computational Linguistics (ACL), p. 357-366

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    Open Access
    136 Citations (Scopus)

  • Electricity price forecast using meteorology data: A study in Australian energy market

    ZHAO, M., SHU, Y., LIU, S. & XU, G., Oct 2019, 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC. IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    4 Citations (Scopus)

  • Emotion recognition from music enhanced by domain knowledge

    SHU, Y. & XU, G., 2019, PRICAI 2019: Trends in Artificial Intelligence: 16th Pacific Rim International Conference on Artificial Intelligence, Cuvu, Yanuca Island, Fiji, August 26–30, 2019, Proceedings, Part I. NAYAK, A. C. & SHARMA, A. (eds.). Springer, p. 121-134

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    5 Citations (Scopus)

  • Foreword IV

    CHEUNG, Y. L. S., 2019, Gweimui's Hong Kong wet markets. Hong Kong: The Commercial Press, p. ix-xi

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Multi-modal attention network learning for semantic source code retrieval

    WAN, Y., SHU, J., SUI, Y., XU, G., ZHAO, Z., WU, J. & YU, P., 2019, Proceedings of 2019 34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019. USA: IEEE, p. 13-25

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    148 Citations (Scopus)

  • On completing sparse knowledge base with transitive relation embedding

    ZHOU, Z., LIU, S., XU, G. & ZHANG, W., 2019, Proceedings of 33rd AAAI Conference on Artificial Intelligence, AAAI 2019. USA: AAAI press, p. 3125-3132

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    10 Citations (Scopus)

  • Polynomial representation for persistence diagram

    WANG, Z., LI, Q., LI, G. & XU, G., Jun 2019, Proceedings of 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2019. USA: IEEE, p. 6116-6125

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    11 Citations (Scopus)

  • Prediction and analysis of rumour's impact on social media

    YIN, J., LIU, S., LI, Q. & XU, G., 2019, Proceedings of 2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC. IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    1 Citation (Scopus)

  • 序四

    張仁良, Jun 2019, 鬼妹港街市. 香港: 商務印書館, p. vii-ix

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • 2018

    A multiple source based transfer learning framework for marketing campaigns

    BROWNLOW, J., CHU, C., XU, G., CULBERT, B., FU, B. & MENG, A. Q., Oct 2018, Proceedings of 2018 International Joint Conference on Neural Networks, IJCNN 2018. USA: IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • An effective joint framework for document summarization

    GUI, M., ZHANG, Z., YANG, Z., GU, Y. & XU, G., Apr 2018, The Web Conference 2018: Companion of the World Wide Web Conference, WWW 2018. International World Wide Web Conferences Steering Committee, p. 121-122

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    Open Access
    4 Citations (Scopus)

  • Automated underwriting in life insurance: Predictions and optimisation

    BIDDLE, R., LIU, S., TILOCCA, P. & XU, G., 2018, Databases theory and applications: 29th Australasian Database Conference, ADC 2018, Gold Coast, QLD, Australia, May 24-27, 2018, proceedings. WANG, J., CONG, G., CHEN, J. & QI, J. (eds.). Cham: Springer, p. 135-146

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    13 Citations (Scopus)

  • Client churn prediction with call log analysis

    VO, N. N. Y., LIU, S., BROWNLOW, J., CHU, C., CULBERT, B. & XU, G., 2018, Database systems for advanced applications: 23rd International Conference, DASFAA 2018, proceedings, part I. PEI, J., MANOLOPOULOS, Y., SADIQ, S. & LI, J. (eds.). Springer, p. 752-763

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    6 Citations (Scopus)

  • Cost-sensitive churn prediction in fund management services

    BROWNLOW, J., CHU, C., FU, B., XU, G., CULBERT, B. & MENG, Q., 2018, Database systems for advanced applications: 23rd International Conference, DASFAA 2018, proceedings, part II. PEI, J., MANOLOPOULOS, Y., SADIQ, S. & LI, J. (eds.). Springer, p. 776-788

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    2 Citations (Scopus)

  • Customer churn prediction in superannuation: A sequential pattern mining approach

    CULBERT, B., FU, B., BROWNLOW, J., CHU, C., MENG, Q. & XU, G., 2018, Databases theory and applications: 29th Australasian Database Conference, ADC 2018, proceedings. WANG, J., CONG, G., CHEN, J. & QI, J. (eds.). Springer, p. 123-134

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    2 Citations (Scopus)

  • Improving automatic source code summarization via deep reinforcement learning

    WAN, Y., ZHAO, Z., YANG, M., XU, G., YING, H., WU, J. & YU, P. S., Sept 2018, Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering. HUCHARD, M., KÄSTNER, C. & FRASER, G. (eds.). New York: The Association for Computing Machinery, p. 397-407

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    333 Citations (Scopus)

  • Knowledge-based recommendation with hierarchical collaborative embedding

    ZHOU, Z., LIU, S., XU, G., XIE, X., YIN, J., LI, Y. & ZHANG, W., 2018, Advances in knowledge discovery and data mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, proceedings, part II. PHUNG, D., TSENG, V. S., WEBB, G. I., HO, B., GANJI, M. & RASHIDI, L. (eds.). Cham: Springer, p. 222-234

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    13 Citations (Scopus)

  • Multimodal mixture density boosting network for personality mining

    VO, N. N. Y., LIU, S., HE, X. & XU, G., 2018, Advances in knowledge discovery and data mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, proceedings, part I. PHUNG, D., TSENG, V. S., WEBB, G. I., HO, B., GANJI, M. & RASHIDI, L. (eds.). Cham: Springer, p. 644-655

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    11 Citations (Scopus)

  • Research performance reporting is fallacious

    BUTLER, A., XU, G. & MUSIAL, K., 2018, Proceedings of 2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2018. USA: IEEE, p. 1-5

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    1 Citation (Scopus)

  • Robust 2D joint sparse principal component analysis with f-norm minimization for sparse modelling: 2D-RJSPCA

    RAZZAK, M. I., SARIS, R. A., BLUMENSTEIN, M. & XU, G., 2018, Proceedings of 2018 International Joint Conference on Neural Networks, IJCNN 2018. USA: IEEE, p. 4639-4646

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    9 Citations (Scopus)

  • Semi-supervised soft k-means clustering of life insurance questionnaire responses

    BIDDLE, R., LIU, S. & XU, G., Jul 2018, Proceedings of 2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2018. GUERRERO, J. E. (ed.). Danvers, MA: IEEE, p. 30-31

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    3 Citations (Scopus)

  • Sequential recommender system based on hierarchical attention network

    YING, H., ZHUANG, F., ZHANG, F., LIU, Y., XU, G., XIE, X., XIONG, H. & WU, J., 2018, Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). LANG, J. (ed.). Vienna, Austria: International Joint Conferences on Artificial Intelligence, p. 3926-3932

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    329 Citations (Scopus)

  • Social spammer detection: A multi-relational embedding approach

    YIN, J., ZHOU, Z., LIU, S., WU, Z. & XU, G., 2018, Advances in knowledge discovery and data mining: 22nd Pacific-Asia Conference, PAKDD 2018, proceedings, part I. PHUNG, D., TSENG, V. S., WEBB, G. I., HO, B., GANJI, M. & RASHIDI, L. (eds.). Springer, p. 615-627

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    3 Citations (Scopus)

  • Taxpayer behavior prediction in SMS campaigns

    CAO, G., DOWNES, A., KHAN, S., WONG, W. & XU, G., Jul 2018, Proceedings of 2018 5th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2018. Danvers, MA: IEEE, p. 19-23

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    1 Citation (Scopus)

  • Text stream to temporal network: A dynamic heartbeat graph to detect emerging events on Twitter

    SAEED, Z., ABBASI, R. A., SADAF, A., RAZZAK, M. I. & XU, G., 2018, Advances in knowledge discovery and data mining: 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June3–6, 2018 Proceedings, Part II. PHUNG, D., TSENG, V. S., WEBB, G. I., HO, B., GANJI, M. & RASHIDI, L. (eds.). Switzerland: Springer International Publishing AG, p. 534-545

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    23 Citations (Scopus)

  • Workshop proposal on knowledge discovery from digital libraries

    SHI, H., HE, W. & XU, G., May 2018, Proceedings of the 18th ACM/IEEE Joint Conference on Digital Libraries, JCDL '18. New York: Association for Computing Machinery, p. 429-430

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    2 Citations (Scopus)

  • 序三：重返校園開拓運動員退役多元出路

    張仁良, Nov 2018, 運動員的雙行道. 香港: 三聯書店, p. 10-11

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • 2017

    An enhanced convolutional neural network model for answer selection

    GUO, J., YUE, B., XU, G., YANG, Z. & WEI, J. M., 2017, Proceedings of the 26th International Conference on World Wide Web, WWW 2017. USA: The Association for Computing Machinery, p. 789-790

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    Open Access
    22 Citations (Scopus)

  • Classifying sybil in MSNs using C4.5

    CHINCHORE, A., XU, G. & JIANG, F., Jan 2017, Proceedings of 2016 International Conference on Behavioral, Economic and Socio-cultural Computing, BESC. IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    3 Citations (Scopus)

  • Collaborative filtering via different preference structures

    LIU, S., PANG, N., XU, G. & LIU, H., 2017, Knowledge science, engineering and management: 10th International Conference, KSEM 2017, Melbourne, VIC, Australia, August 19-20, 2017, proceedings. LI, G., GE, Y., ZHANG, Z., JIN, Z. & BLUMENSTEIN, M. (eds.). Cham: Springer, p. 309-321

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Combining heterogeneous features for time series prediction

    CHU, C., BROWNLOW, J., MENG, Q., FU, B., CULBERT, B., ZHU, M., XU, G. & HE, X., Jul 2017, Proceedings of 4th International Conference on Behavioral, Economic, and Socio-Cultural Computing, BESC 2017. USA: IEEE

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

  • Co-training an improved recurrent neural network with probability statistic models for named entity recognition

    SUN, Y., LI, L., XIE, Z., XIE, Q., LI, X. & XU, G., 2017, Database systems for advanced applications: 22nd International Conference, DASFAA 2017, Suzhou, China, March 27-30, 2017, proceedings, part II. CANDAN, S., CHEN, L., PEDERSEN, T. B., CHANG, L. & HUA, W. (eds.). Cham: Springer, p. 545-555

    Research output: Chapter in Book/Report/Conference proceeding › Chapters

    9 Citations (Scopus)