人员简介

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

 

  1. 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).
  2. Li W. (2020) Scalable Calibration of Affinity Matrices from Incomplete Observations. Asian Conference on Machine Learning (ACML'2020).
  3. 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).
  4. 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).
  5. Li W. (2015) Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach. Advances in Neural Information Processing Systems 28 (NIPS'2015).
  6. Li W. (2015) Visualizing Network Communities with A Semi-Definite Programming Method. Information Sciences, vol. 321, pp. 1--13, 2015.
  7. Li W. (2015) Highlighting Data Clusters by Graph Embedding. Neurocomputing, vol. 165, pp. 75--80, 2015.
  8. Li W. (2013) Revealing Network Communities with a Nonlinear Programming Method. Information Sciences, vol. 229, pp. 18-28, 2013.
  9. Li W. and Schuurmans D. (2011) Modular Community Detection in Networks. Proceedings of the 22nd International Joint Conference on Artificial Intelligence (IJCAI'2011).
  10. Li W., Xu L. and Schuurmans D. (2010) Facility Locations Revisited: An Efficient Belief Propagation Approach. Proceedings of IEEE-ICAL'2010.
  11. 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).
  12. 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).
  13. 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).
  14. 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).