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Dr Chaoran Huang

Dr Chaoran Huang

Postdoctoral Fellow

BEng, PhD

Engineering
Mineral and Energy Resources Engineering

Chaoran Huang is a Postdoctoral Fellow/Research Associate with Minerals and Energy Resources Engineering, and he was with School of Computer Science and Engineering, The University of New South Wales, supervised by Dr. Lina Yao , and works closely with and her group D².

He used to concentrate on Service-Oriented Computing, while much of his current research is focused on the data mining, machine learning and IoT data analytics. More can be found in http://chaoranhuang.com/.
Phone
+61 (02) 9385-9748
E-mail
chaoran.huang@unsw.edu.au
Location
K15 160
  • Journal articles | 2024
    Liang R; Huang C; Zhang C; Li B; Saydam S; Canbulat I, 2024, 'Data Diagram Design and Data Management for Visualisation and Analytics Fusion in The Mining Industry', Engineered Science, 32, http://dx.doi.org/10.30919/es1036
    Journal articles | 2024
    Liang R; Zhang C; Huang C; Li B; Saydam S; Canbulat I; Munsamy L, 2024, 'Multimodal data fusion for geo-hazard prediction in underground mining operation', Computers and Industrial Engineering, 193, http://dx.doi.org/10.1016/j.cie.2024.110268
    Journal articles | 2023
    Altulyan M; Yao L; Kanhere S; Huang C, 2023, 'A blockchain framework data integrity enhanced recommender system', Computational Intelligence, 39, pp. 104 - 120, http://dx.doi.org/10.1111/coin.12548
    Journal articles | 2023
    Liang R; Huang C; Zhang C; Li B; Saydam S; Canbulat I, 2023, 'Exploring the Fusion Potentials of Data Visualization and Data Analytics in the Process of Mining Digitalization', IEEE Access, 11, pp. 40608 - 40628, http://dx.doi.org/10.1109/ACCESS.2023.3267813
    Journal articles | 2022
    Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2022, 'A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions', Computer Journal, 65, pp. 2098 - 2132, http://dx.doi.org/10.1093/comjnl/bxab049
    Journal articles | 2022
    Huang C; Yao L; Wang X; Sheng QZ; Dustdar S; Wang Z; Xu X, 2022, 'Intent-Aware Interactive Internet of Things for Enhanced Collaborative Ambient Intelligence', IEEE Internet Computing, 26, pp. 68 - 75, http://dx.doi.org/10.1109/MIC.2021.3099599
    Journal articles | 2021
    Altulyan M; Yao L; Huang C; Wang X; Kanhere SS, 2021, 'Context-induced activity monitoring for on-demand things-of-interest recommendation in an ambient intelligent environment', Future Internet, 13, http://dx.doi.org/10.3390/fi13120305
    Journal articles | 2020
    Altulyan M; Yao L; Kanhere SS; Wang X; Huang C, 2020, 'A unified framework for data integrity protection in people-centric smart cities', Multimedia Tools and Applications, 79, pp. 4989 - 5002
    Journal articles | 2020
    Huang C; Yao L; Wang X; Benatallah B; Zhang X, 2020, 'Software expert discovery via knowledge domain embeddings in a collaborative network', Pattern Recognition Letters, 130, pp. 46 - 53, http://dx.doi.org/10.1016/j.patrec.2018.10.030
    Journal articles | 2018
    Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, 'Opinion fraud detection via neural autoencoder decision forest', Pattern Recognition Letters
    Journal articles | 2018
    Wang X; Huang C; Yao L; Benatallah B; Dong M, 2018, 'A Survey on Expert Recommendation in Community Question Answering', Journal of Computer Science and Technology, 33, pp. 625 - 653, http://dx.doi.org/10.1007/s11390-018-1845-0
    Journal articles | 2018
    Yao L; Wang X; Sheng QZ; Benatallah B; Huang C, 2018, 'Mashup Recommendation by Regularizing Matrix Factorization with API Co-Invocations', IEEE Transactions on Services Computing
    Journal articles |
    Zhang X; Yao L; Huang C; Gu T; Yang Z; Liu Y, 'DeepKey: A Multimodal Biometric Authentication System via Deep Decoding Gaits and Brainwaves', ACM Transactions on Intelligent Systems and Technology (TIST)
  • Conference Papers | 2022
    Altulyan MS; Huang C; Yao L; Wang X; Kanhere S, 2022, 'Deep Reinforcement Learning for Dynamic Things of Interest Recommendation in Intelligent Ambient Environment', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 393 - 404, http://dx.doi.org/10.1007/978-3-030-97546-3_32
    Conference Papers | 2021
    Altulayan MS; Huang C; Yao L; Wang X; Kanhere S, 2021, 'Contextual Bandit Learning for Activity-Aware Things-of-Interest Recommendation in an Assisted Living Environment', in Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, pp. 37 - 49, http://dx.doi.org/10.1007/978-3-030-69377-0_4
    Preprints | 2020
    Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2020, Recommender Systems for the Internet of Things: A Survey, http://dx.doi.org/10.48550/arxiv.2007.06758
    Conference Papers | 2020
    Chen X; Huang C; Yao L; Wang X; Liu W; Zhang W, 2020, 'Knowledge-guided Deep Reinforcement Learning for Interactive Recommendation', in arXiv preprint arXiv:2004.08068
    Conference Papers | 2020
    Huang C; Yao L, 2020, 'Active Object Estimation for Human-Robot Collaborative Tasks', Online / Bangkok, Thailand, presented at The 27th International Conference on Neural Information Processing, Online / Bangkok, Thailand, 18 November 2020 - 22 November 2020, http://dx.doi.org/10.1007/978-3-030-63833-7_63
    Preprints | 2020
    Zhang X; Yao L; Huang C; Kanhere SS; Zhang D; Zhang Y, 2020, Brain2Object: Printing Your Mind from Brain Signals with Spatial Correlation Embedding, http://dx.doi.org/10.48550/arxiv.1810.02223
    Conference Papers | 2019
    Altulyan MS; Huang C; Yao L; Wang X; Kanhere S; Cao Y, 2019, 'Reminder Care System: An Activity-Aware Cross-Device Recommendation System', in International Conference on Advanced Data Mining and Applications, Springer, pp. 207 - 220, presented at ADMA, Springer, 21 November 2019 - 23 November 2019
    Conference Papers | 2019
    Chen X; Huang C; Zhang X; Wang X; Liu W; Yao L, 2019, 'Expert2Vec: Distributed Expert Representation Learning in Question Answering Community', in International Conference on Advanced Data Mining and Applications, Springer, pp. 288 - 301, presented at ADMA, Springer, 21 November 2019 - 23 November 2019
    Conference Papers | 2019
    Dong M; Yao L; Wang X; Benatallah B; Huang C, 2019, 'Similarity-Aware Deep Attentive Model for Clickbait Detection', in Pacific-Asia Conference on Knowledge Discovery and Data Mining, Springer, pp. 56 - 69, presented at PAKDD, Springer, 14 April 2019 - 17 April 2019, http://dx.doi.org/10.1007/978-3-030-16145-3_5
    Preprints | 2018
    Dong M; Yao L; Wang X; Benatallah B; Huang C; Ning X, 2018, Opinion Fraud Detection via Neural Autoencoder Decision Forest, http://dx.doi.org/10.48550/arxiv.1805.03379
    Conference Papers | 2018
    Huang C; Yao L; Wang X; Benatallah B; Zhang S; Dong M, 2018, 'Expert recommendation via tensor factorization with regularizing hierarchical topical relationships', in Pahl C; Vukovic M; Yin J; Yu Q (eds.), International Conference on Service-Oriented Computing, Springer Nature, Springer, Cham, pp. 373 - 387, presented at 16th International Conference on Service-Oriented Computing (ICSOC), Springer, Cham, 12 November 2018 - 15 November 2018, http://dx.doi.org/10.1007/978-3-030-03596-9_27
    Preprints | 2018
    Huang C; Yao L; Wang X; Benatallah B; Zhang S; Dong M, 2018, Expert Recommendation via Tensor Factorization with Regularizing Hierarchical Topical Relationships, http://dx.doi.org/10.48550/arxiv.1808.01092
    Preprints | 2018
    Huang C; Yao L; Wang X; Benatallah B; Zhang X, 2018, Software Expert Discovery via Knowledge Domain Embeddings in a Collaborative Network, http://dx.doi.org/10.48550/arxiv.1810.11305
    Preprints | 2018
    Wang X; Huang C; Yao L; Benatallah B; Dong M, 2018, A Survey on Expert Recommendation in Community Question Answering, http://dx.doi.org/10.48550/arxiv.1807.05540
    Conference Papers | 2018
    Zhang S; Yao L; Ning X; Huang C; Xu X; Ou S, 2018, 'Coupled Linear and Deep Nonlinear Method for Meetup Service Recommendation', in International Conference on Web Services, Springer, pp. 246 - 260, Springer
    Conference Papers | 2018
    Zhang X; Yao L; Huang C; Wang S; Tan M; Long G; Wang C, 2018, 'Multi-modality Sensor Data Classification with Selective Attention', in Lang J (ed.), the 27th International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence, SWEDEN, Stockholm, pp. 3111 - 3117, presented at Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, SWEDEN, Stockholm, 13 July 2018 - 19 July 2018, http://dx.doi.org/10.24963/ijcai.2018/432
    Conference Papers | 2017
    Huang C; Yao L; Wang X; Benatallah B; Sheng QZ, 2017, 'Expert as a Service: Software Expert Recommendation via Knowledge Domain Embeddings in Stack Overflow', in Web Services (ICWS), 2017 IEEE The 24th International Conference on
    Conference Papers | 2017
    Zhang X; Yao L; Huang C; Sheng QZ; Wang X, 2017, 'Intent recognition in smart living through deep recurrent neural networks', in International Conference on Neural Information Processing, Springer, pp. 748 - 758, Springer
    Preprints | 2017
    Zhang X; Yao L; Huang C; Sheng QZ; Wang X, 2017, Intent Recognition in Smart Living Through Deep Recurrent Neural Networks, http://dx.doi.org/10.48550/arxiv.1702.06830

My Research Supervision

1  PhD student currently joint supervising

 

My Teaching

Course admin & lab demonstrator for COMP9321 in Term1, 2019

Assessor for Research Thesis B - 2021 T2