Chaoran Huang

Postdoctoral Fellow / Research Associate
Postdoctoral Fellow

Chaoran Huang is a Postdoctoral Fellow with Minerals and Energy Resources Engineering in DCGMP project with Dr Chengguo Zhang,and before that he is 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 .

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/.

 

Journal articles
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Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 2021, 'A Survey on Recommender Systems for Internet of Things: Techniques, Applications and Future Directions', The Computer Journal, http://dx.doi.org/10.1093/comjnl/bxab049
2021
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, vol. 79, pp. 4989 - 5002, http://dx.doi.org/10.1007/s11042-019-7182-7
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, vol. 130, pp. 46 - 53, http://dx.doi.org/10.1016/j.patrec.2018.10.030
2020
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, vol. 33, pp. 625 - 653, http://dx.doi.org/10.1007/s11390-018-1845-0
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, http://dx.doi.org/10.1016/j.patrec.2018.07.013
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, http://dx.doi.org/10.1109/TSC.2018.2803171
2018
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)
Altulyan M; Yao L; Wang X; Huang C; Kanhere SS; Sheng QZ, 'Recommender Systems for the Internet of Things: A Survey', , http://arxiv.org/abs/2007.06758v1
Conference Papers
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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
2021
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
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
2020
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
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, http://dx.doi.org/10.1007/978-3-030-35231-8_15
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, http://dx.doi.org/10.1007/978-3-030-35231-8_21
2019
Zhang X; Yao L; Huang C; Wang S; Tan M; Long G; Wang C, 2018, 'Multi-modality Sensor Data Classification with Selective Attention', in the 27th International Joint Conference on Artificial Intelligence, International Joint Conferences on Artificial Intelligence Organization, pp. 3111 - 3117, http://dx.doi.org/10.24963/ijcai.2018/432
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, http://dx.doi.org/10.1007/978-3-319-94289-6_16
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 International Conference on Service-Oriented Computing, Springer, Cham, pp. 373 - 387, Springer, Cham, http://dx.doi.org/10.1007/978-3-030-03596-9_27
2018
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, presented at 24th International Conference, ICONIP 2017, Springer, 14 November 2017 - 18 November 2017, http://dx.doi.org/10.1007/978-3-319-70096-0_76
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, Honolulu, HI, USA, pp. 317 - 324, presented at 2017 IEEE International Conference on Web Services (ICWS), Honolulu, HI, USA, 25 June 2017 - 30 June 2017, http://dx.doi.org/10.1109/ICWS.2017.122
2017

Course admin & lab demonstrator for COMP9321 in Term1, 2019

Assessor for Research Thesis B - 2021 T2