Associate Professor Lina Yao
Conjoint Professor

Associate Professor Lina Yao

PhD - University of Adelaide. 2014

 

Engineering
Computer Science and Engineering

A/Prof. Lina Yao is Scientia Associate Professor and Acting Associate Head of School (Research) in the School of Computer Science and Engineering. She is leading the research group Data Dynamics Lab (D2 Lab) founded in 2016. We strive for developing generalizable and explainable data-efficient data mining, machine learning and deep learning algorithms—as well as designing systems and interfaces—to enable novel ways of human-machine interactions, including an improved understanding of challenges such as robustness, trust, explainability and resilience that improve human-autonomy partnership.

Her research area is in Few-Shot Learning, Zero-Shot Learning, Deep Reinforcement Learning, Meta-Learning, Neural Process, Self-supervised Learning, Graph Neural Networks and their applications in a broad range of applications in Recommender Systems, Computer Vision, Brain-Computer Interface, Biomedical Image Analysis, Intelligent Transportation System, and Internet of Things. She maintains a strong international research collaboration with world-leading universities such as Stanford University, Tsinghua University, UCSD, TU Wien etc. She is serving as Associate Editor for ACM Transactions on Sensor Networks (ACM TOSN), Knowledge-based Systems (KNOSYS) and Section of Recommender Systems of Frontiers in Big Data. She has over 200 peer-reviewed publications both in international leading conferences and journals including NeurIPS, SIGKDD, WWW, SIGIR, ICDM, CVPR, UbiComp, AAAI, IJCAI etc.

Personal website - https://www.linayao.com/

  • Book Chapters | 2021
    Barukh MC; Zamanirad S; Baez M; Beheshti A; Benatallah B; Casati F; Yao L; Sheng QZ; Schiliro F, 2021, 'Cognitive Augmentation in Processes', in Next-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future, pp. 123 - 137, http://dx.doi.org/10.1007/978-3-030-73203-5_10
  • Journal articles | 2022
    Wang S; Cao Y; Chen X; Yao L; Wang X; Sheng QZ, 2022, 'Adversarial Robustness of Deep Reinforcement Learning Based Dynamic Recommender Systems', Frontiers in Big Data, vol. 5, pp. 822783, http://dx.doi.org/10.3389/fdata.2022.822783
    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, vol. 130, pp. 46 - 53, http://dx.doi.org/10.1016/j.patrec.2018.10.030
    Journal articles | 2020
    Liu H; Yao L; Zheng Q; Luo M; Zhao H; Lyu Y, 2020, 'Dual-stream generative adversarial networks for distributionally robust zero-shot learning', Information Sciences, vol. 519, pp. 407 - 422, http://dx.doi.org/10.1016/j.ins.2020.01.025
    Journal articles | 2020
    Liu H; Zheng Q; Luo M; Chang X; Yan C; Yao L, 2020, 'Memory transformation networks for weakly supervised visual classification', Knowledge-Based Systems, vol. 210, http://dx.doi.org/10.1016/j.knosys.2020.106432
    Journal articles | 2020
    Zhang Y; Haghighi PD; Burstein F; Yap LW; Cheng W; Yao L; Cicuttini F, 2020, 'Electronic skin wearable sensors for detecting lumbar–pelvic movements', Sensors (Switzerland), vol. 20, http://dx.doi.org/10.3390/s20051510
    Journal articles | 2019
    Li Z; Yao L; Chang X; Zhan K; Sun J; Zhang H, 2019, 'Zero-shot event detection via event-adaptive concept relevance mining', Pattern Recognition, vol. 88, pp. 595 - 603, http://dx.doi.org/10.1016/j.patcog.2018.12.010
    Journal articles | 2019
    Ning X; Yao L; Benatallah B; Zhang Y; Sheng QZ; Kanhere SS, 2019, 'Source-aware crisis-relevant tweet identification and key information summarization', ACM Transactions on Internet Technology, vol. 19, http://dx.doi.org/10.1145/3300229
    Journal articles | 2019
    Zhang X; Yao L; Zhang S; Kanhere S; Sheng M; Liu Y, 2019, 'Internet of things meets brain-computer interface: A unified deep learning framework for enabling human-thing cognitive interactivity', IEEE Internet of Things Journal, vol. 6, pp. 2084 - 2092, http://dx.doi.org/10.1109/JIOT.2018.2877786
    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, http://dx.doi.org/10.1016/j.patrec.2018.07.013
    Journal articles | 2018
    Ning X; Yao L; Wang X; Benatallah B; Dong M; Zhang S, 2018, 'Rating prediction via generative convolutional neural networks based regression', Pattern Recognition Letters, http://dx.doi.org/10.1016/j.patrec.2018.07.028
    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, vol. 33, pp. 625 - 653, http://dx.doi.org/10.1007/s11390-018-1845-0
    Journal articles | 2018
    Yao L; Sheng QZ; Benatallah B; Dustdar S; Wang X; Shemshadi A; Kanhere SS, 2018, 'WITS: an IoT-endowed computational framework for activity recognition in personalized smart homes', Computing, vol. 100, pp. 369 - 385, http://dx.doi.org/10.1007/s00607-018-0603-z
    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, http://dx.doi.org/10.1109/TSC.2018.2803171
  • Conference Papers | 2020
    Yuan F; Yao L; Benatallah B, 2020, 'Exploring Missing Interactions: A Convolutional Generative Adversarial Network for Collaborative Filtering', in International Conference on Information and Knowledge Management, Proceedings, pp. 1773 - 1782, http://dx.doi.org/10.1145/3340531.3411917
    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
    Conference Papers | 2019
    Dong M; Yao L; Wang X; Benatallah B; Zhang X; Sheng QZ, 2019, 'Dual-stream Self-Attentive Random Forest for False Information Detection', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2019.8851765
    Conference Papers | 2019
    Yuan F; Yao L; Benatallah B, 2019, 'Adversarial Collaborative Auto-encoder for Top-N Recommendation', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2019.8851902
    Conference Papers | 2019
    Yuan F; Yao L; Benatallah B, 2019, 'Adversarial collaborative neural network for robust recommendation', in SIGIR 2019 - Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pp. 1065 - 1068, http://dx.doi.org/10.1145/3331184.3331321
    Conference Papers | 2019
    Yuan F; Yao L; Benatallah B, 2019, 'DARec: Deep domain adaptation for cross-domain recommendation via transferring rating patterns', in IJCAI International Joint Conference on Artificial Intelligence, Macao, China, pp. 4227 - 4233, presented at 28th International Joint Conference on Artificial Intelligence IJCAI-19, Macao, China, 10 August 2019
    Conference Papers | 2018
    Chen K; Yao L; Wang X; Zhang D; Gu T; Yu Z; Yang Z, 2018, 'Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling', in Proceedings of the International Joint Conference on Neural Networks, http://dx.doi.org/10.1109/IJCNN.2018.8489767
    Conference Papers | 2018
    Dong M; Yao L; Wang X; Benatallah B; Sheng QZ; Huang H, 2018, 'DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection', in Hacid H; Cellary W; Wang H; Paik H-Y; Zhou R (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Cham, Dubai, United Arab Emirates, pp. 199 - 209, presented at International Conference on Web Information Systems Engineering : WISE 2018, Dubai, United Arab Emirates, 12 November 2018 - 15 November 2018, http://dx.doi.org/10.1007/978-3-030-02922-7_14
    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 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
    Conference Papers | 2018
    Ning X; Yao L; Wang X; Benatallah B; Salim F; Haghighi PD, 2018, 'Predicting Citywide Passenger Demand via Reinforcement Learning from Spatio-Temporal Dynamics', in PROCEEDINGS OF THE 15TH EAI INTERNATIONAL CONFERENCE ON MOBILE AND UBIQUITOUS SYSTEMS: COMPUTING, NETWORKING AND SERVICES (MOBIQUITOUS 2018), ASSOC COMPUTING MACHINERY, NY, New York City, pp. 19 - 28, presented at 15th EAI International Conference on Mobile and Ubiquitous Systems - Computing, Networking and Services (Mobiquitous), NY, New York City, 05 November 2018 - 07 November 2018, http://dx.doi.org/10.1145/3286978.3286991
    Conference Papers | 2018
    Pan S; Hu R; Long G; Jiang J; Yao L; Zhang C, 2018, 'Adversarially Regularized Graph Autoencoder for Graph Embedding', in Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, IJCAI-18, International Joint Conferences on Artificial Intelligence Organization, pp. 2609 - 2615, http://dx.doi.org/10.24963/ijcai.2018/362
    Conference Papers | 2018
    Pessoa MAO; Pisching MA; Yao L; Junqueira F; Miyagi PE; Benatallah B, 2018, 'Industry 4.0, how to integrate legacy devices: A cloud IoT approach', in Proceedings: IECON 2018 - 44th Annual Conference of the IEEE Industrial Electronics Society, pp. 2902 - 2907, http://dx.doi.org/10.1109/IECON.2018.8592774
    Conference Papers | 2018
    Zhang D; Chen K; Yao L; Wang S, 2018, 'Ready for use: Subject-independent movement intention recognition via a convolutional attention model', in International Conference on Information and Knowledge Management, Proceedings, ACM, Torino, Italy, pp. 1763 - 1766, presented at 27th ACM International Conference on Information and Knowledge Management (CIKM 2018), Torino, Italy, 22 October 2018 - 26 October 2018, http://dx.doi.org/10.1145/3269206.3269259
    Conference Papers | 2018
    Zhang D; Yao L; Wang S; Chen K; Yang Z; Benatallah B, 2018, 'Fuzzy integral optimization with deep Q-network for EEG-based intention recognition', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 156 - 168, http://dx.doi.org/10.1007/978-3-319-93034-3_13
    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, 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
    Conference Papers | 2017
    Ning X; Yao L; Wang X; Benatallah B, 2017, 'Calling for response: Automatically distinguishing situation-aware tweets during crises', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Singapore, pp. 195 - 208, presented at 13th International Conference, ADMA 2017, Singapore, 05 November 2017 - 06 November 2017, http://dx.doi.org/10.1007/978-3-319-69179-4_14
    Conference Papers | 2016
    Wang X; Sheng QZ; Yao L; Li X; Fang XS; Xu X; Benatallah B, 2016, 'Empowering truth discovery with multi-truth prediction', in International Conference on Information and Knowledge Management, Proceedings, pp. 881 - 890, http://dx.doi.org/10.1145/2983323.2983767

Australia Category-1 Grants:

  • ACARP, Chief Investigator, Risk Based Model for Forecasting Longwall Face Cavity Development, 2022 - 2023
  • ARC Discovery Project, Lead CI, Robust Preference Inference from Spatial-Temporal Interaction Networks, 2021 - 2023
  • ARC Linkage Project, Lead CI, Context and Activity Recognition for Personalised Behaviour Recommendation, 2020 - 2022
  • ARC LIEF, CI, "A Large-Scale Distributed Experimental Facility for the Internet of Things", Australian Research Council Linkage Infrastructure, Equipment and Facilities Project, 2018
  • ARC DECRA Award, Sole CI, "Effective Recommendation for Web of Things", Australian Research Council Discovery Early Career Researcher Award, 2016-2018

Others:

  • EpiWatch – Artificial Intelligence Early-Warning System for Epidemics, CI, Medical Research Future Fund 2021 - 2022
  • Machine learning techniques for self-aware computing, Sole CI, Defence Science and Technology Group, 2021 - 2025
  • Deep learning for objective measure of tinnitus, CI, British Tinnitus Association 2021 - 2024
  • Exploration of Hierarchy of Learning Models in Relation to Goals, Defence Science and Technology Group, 2020-2023
  • Long Range/BAA Project, Sole CI, "Context-aware Intent Prediction for Human-Machine Cooperation Improvement", Office of Naval Research (US Department of Navy), 2019 - 2021
  • Multi-faceted Adaptive Trust Management in Federated/Distributed Data and AI Systems, Lead CI, Collaborative Research Project, Data61, 2019 - 2021

Selected awards:

  • TechVouchers Project - Succession Plus Australia, Co-CI, Automatic and Integrative Business Solution for Valuation Data Warehousing, Department of Industry, New South Wales 2020
  • Cooperative Research Centres Projects, CI, DeepIoT – A New Hybrid Wireless IoT Platform for Underground Mines, 2020 - 2023
  • TechVouchers Project - iKnow Pty Ltd., Sole CI, Customter-centric Interactive Decision Making System, Department of Industry, New South Wales, 2019
  • UNSW-Tsinghua University Collaborative Research Fund, CI, "iAgeWell: A Unified Computational Mobile Solution for Personalised Wellness management in Senior Citizens", 2019 -2020
  • TechVoucher Project, Co-CI, Inkerz Smartpen, Department of Industry, New South Wales, 2019
  • TechVouchers Project - Raiz Pty Ltd., Sole CI, "Collaborative Deep Learning based Personalized Product Recommendation Model", Department of Industry, New South Wales, 2018
  • UNSW-Tsinghua University Collaborative Research Fund, Lead CI, "City Pulse: A Unified Computational Framework for Data-driven, People-centric Smarter City Applications", 2018 - 2019

My Research Supervision

Please check my personal website or Data Dynamics website for more information.

My Teaching

COMP9727 - Recommender Systems

COMP9321 - Data Service Engineering

UNSW CSE Honour thesis and Master's research project students

Vertically Integrated Project - Data Dynamics