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Conference Papers

Blow EC; de Lima TF; Peng H-T; Zhang W; Huang C; Shastri BJ; Prucnal PR, 2022, 'Broadband Radio-Frequency Signal Processing with Neuromorphic Photonics', in Jalali B; Kitayama KI (ed.), AI AND OPTICAL DATA SCIENCES III, SPIE-INT SOC OPTICAL ENGINEERING, ELECTR NETWORK, presented at Conference on AI and Optical Data Sciences III, ELECTR NETWORK, 22 January 2022 - 24 February 2022, http://dx.doi.org/10.1117/12.2614131

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

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

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

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

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

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

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

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

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

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

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

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


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