| Towards Epidemiological Intelligence APEC Workshop on Application of Artificial Intelligence to Accelerate the Mitigation of Covid-19 Pandemic Indonesia (Online) |
05/2023 |
| Data Science and AI for Infectious Disease Control and Elimination The 22nd Workshop of Regional Network for Asian Schistosomiasis and Other Helminthic Zoonoses (RNAS+) Shanghai, China (Online) |
11/2022 |
| AI-enabled Malaria Control and Elimination Cambodia National Center for Parasitology, Entomology and Malaria Control (CNM), Department of Health Phnom Penh, Cambodia (Online) |
04/2021 |
| Towards Epidemiological Intelligence: Modelling Based Analytics Combating Emerging Infectious Diseases Global Health Practice for Greater Mekong Subregion (GHPGMS2020) Shanghai, China (Online) |
12/2020 |
| AI-enabled Active Surveillance Planning for Malaria Elimination International Workshop on AI-enabled Malaria Control and Prevention Hong Kong SAR, China |
07/2019 |
| Manifold learning for multimedia data analysis Department of Computer Science, Hong Kong Baptist University Hong Kong SAR, China |
10/2014 |
| Manifold learning for visual data analysis School of Computer Science and Technology, Shandong University Jinan, Shandong, China |
10/2012 |
| Dimensionality reduction for multimedia content analysis Department of Language and Speech, Radboud University Nijmegen Nijmegen, The Netherlands |
10/2010 |
| Multilinear subspace learning and its applications in multimedia content analysis Human Sensing Lab, Robotics Institute, Carnegie Mellon University Pittsburgh, PA, USA |
03/2010 |
| Dimensionality reduction for multimedia content analysis Department of Computer Science, Shenzhen Graduate School, Harbin Institute of Technology Shenzhen, China |
05/2009 |
| Jinfu Ren, Mutong Liu, Yang Liu, and Jiming Liu, TransCode: Uncovering COVID-19 transmission patterns via deep learning, Infectious Diseases of Poverty, 12, Article number: 14, 2023. (Featured Article) |
| Mutong Liu, Yang Liu, Ly Po, Shang Xia, Rekol Huy, Xiao-Nong Zhou, and Jiming Liu, Assessing the spatiotemporal malaria transmission intensity with heterogeneous risk factors: A modeling study in Cambodia, Infectious Disease Modelling, 8(1), pp. 253-269, 2023. |
| Jinfu Ren, Yang Liu, and Jiming Liu, Commonality and individuality based subspace learning, IEEE Transactions on Cybernetics (T-Cyber), In Press, 2022. |
| Jinfu Ren, Mutong Liu, Yang Liu, and Jiming Liu, Optimal resource allocation with spatiotemporal transmission discovery for effective disease control, Infectious Diseases of Poverty, 11, Article number: 34, 2022. |
| Qi Tan, Yang Liu, and Jiming Liu, Demystifying Deep Learning in Predictive Spatiotemporal Analytics: An Information-Theoretic Framework, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 32(8), pp. 3538-3552, 2021. |
| Yang Liu, Zhonglei Gu, and Jiming Liu, Uncovering transmission patterns of COVID-19 outbreaks: A region-wide comprehensive retrospective study in Hong Kong, EClinicalMedicine, Lancet Discovery Science, 36:100929, 2021. |
| Yang Liu, Zhonglei Gu, Shang Xia, Benyun Shi, Xiao-Nong Zhou, Yong Shi, and Jiming Liu, What are the underlying transmission patterns of COVID-19 outbreak? – An age-specific social contact characterization, EClinicalMedicine, Lancet Discovery Science, 22:100354, 2020. (One of the most cited articles in the journal in 2020-2021) |
| Tiantian He*, Yang Liu*, Tobey H. Ko, Keith C.C. Chan, and Yew-Soon Ong, Con-textual Correlation Preserving Multi-View Featured Graph Clustering, IEEE Transactions on Cybernetics (T-Cyber), 50(10), pp.4318-4331, 2020. (*Joint First Author) |
| Yang Liu, Tobey H. Ko, and Zhonglei Gu, Who is the Mr. Right for Your Brand? – Discovering Brand Key Assets via Multi-modal Asset-aware Projection, IEEE Transactions on Cybernetics (T-Cyber), 50(2), pp.717–728, 2020. |
| Yang Liu, Zhonglei Gu, Tobey H. Ko, and Jiming Liu, Identifying Key Opinion Leaders in Social Media via Modality-Consistent Harmonized Discriminant Embedding, in Proceedings of 41st International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-18), pp.1113–1116, 2018. |
| Yang Liu, Tobey H. Ko, and Zhonglei Gu, Who is the Mr. Right for Your Brand? – Discovering Brand Key Assets via Multi-modal Asset-aware Projection, IEEE Transactions on Cybernetics (T-Cyber), 50(2), pp.717–728, 2020. |
| Kejing Yin, William K. Cheung, Yang Liu, Benjamin C. M. Fung, and Jonathan Poon, Joint Learning of Phenotypes and Diagnosis-Medication Correspondence via Hidden Interaction Tensor Factorization, in Proceedings of 27th International Joint Conference on Artificial Intelligence (IJCAI-18), pp.3627–3633, 2018. |
| Jiabei Zeng, Yang Liu, Biao Leng, Zhang Xiong, and Yiu-ming Cheung, Dimensionality Reduction in Multiple Ordinal Regression, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 29(9), pp.4088–4101, 2018. |
| Yan Liu, Yang Liu, Shenghua Zhong, and Songtao Wu, Implicit Visual Learning: Image Recognition via Dissipative Learning Model, ACM Transactions on Intelligent Systems and Technology (TIST), 8(2), 31:1-24. |
| Yang Liu, Yan Liu, Xiang Zhang, Gong Chen, and Kejun Zhang. Learning Music Emotion Primitives via Supervised Dynamic Clustering, in Proceedings of 24th ACM International Conference on Multimedia (ACM MM), 50(2), 2016. |
| Yang Liu, Yan Liu, Yu Zhao, and Kien A. Hua. What Strikes the Strings of Your Heart? – Feature Mining for Music Emotion Analysis, IEEE Transactions on Affective Computing (TAC), 6(3), pp. 247-260, 2015. |
| Yang Liu, Yan Liu, Keith C.C. Chan, and Kien A. Hua. Hybrid manifold embedding, IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 25(12), pp. 2295-2302, 2014. |
