李文烨
职务/职称
深圳市大数据研究院基础理论与算法研究所研究科学家
香港中文大学(深圳)研究副教授
研究方向
计算机科学、人工智能
电子邮箱
wyli@cuhk.edu.cn
教育背景
香港中文大学博士
中国科学院硕士
山东大学学士
个人介绍
李文烨博士,2007到2009年在香港中文大学和加拿大阿尔伯塔大学从事博士后研究;2009到2016年在澳门理工学院任教;2016年8月加入香港中文大学(深圳)和深圳市大数据研究院,从事计算机和信息科学领域的教学和科研工作。李博士在人工智能和机器学习领域发表40余篇第一作者论文,获得IEEE-ICAL会议一项最佳论文奖和一项最佳论文提名;常年担任NeurIPS、ICML、IJCAI、AAAI等多个学术会议的组织者和审稿人。2009年至今,李博士主持和参与20余项政府委托的基础研究项目。
代表性论文
- Li W. (2020) Modeling Winner-Take-All Competition in Sparse Binary Projections. Joint European Conference on Machine Learning and Knowledge Discovery in Databases (ECML'2020).
- Li W. (2020) Scalable Calibration of Affinity Matrices from Incomplete Observations. Asian Conference on Machine Learning (ACML'2020).
- Li W., Mao J., Zhang Y., Cui S. (2018) Fast Similarity Search via Optimal Sparse Lifting. Advances in Neural Information Processing Systems 31 (NeurIPS'2018).
- Li W., Zhang J., Zhou J., Cui L. (2018) Learning Word Vectors with Linear Constraints: A Matrix Factorization Approach. Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI'2018).
- Li W. (2015) Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach. Advances in Neural Information Processing Systems 28 (NIPS'2015).
- Li W. (2015) Visualizing Network Communities with A Semi-Definite Programming Method. Information Sciences, vol. 321, pp. 1--13, 2015.
- Li W. (2015) Highlighting Data Clusters by Graph Embedding. Neurocomputing, vol. 165, pp. 75--80, 2015.
- Li W. (2013) Revealing Network Communities with a Nonlinear Programming Method. Information Sciences, vol. 229, pp. 18-28, 2013.
- Li W. and Schuurmans D. (2011) Modular Community Detection in Networks. Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'2011).
- Li W., Xu L. and Schuurmans D. (2010) Facility Locations Revisited: An Efficient Belief Propagation Approach. Proceedings of IEEE-ICAL'2010.
- Xu L., Li W. and Schuurmans D. (2009) Fast Normalized Cut with Linear Constraints. IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'2009).
- Li W., Lee K.H. and Leung K.S. (2007) Large-scale RLSC Learning Without Agony. Proceedings of the 24th International Conference on Machine Learning (ICML'2007).
- Li W., Leung K.S. and Lee K.H. (2007) Generalizing the Bias Term of Support Vector Machines. Proceedings of the 20th International Joint Conference on Artificial Intelligence (IJCAI'2007).
- Li W., Lee K.H. and Leung K.S. (2006) Generalized Regularized Least-Squares Learning with Predefined Features in a Hilbert Space. Advances in Neural Information Processing Systems 19 (NIPS'2006).