Back

Talks & Presentations

  • What is Automated machine learning (AutoML) - A retrospective view. KDD 2020 Tutorial. 24/08/2020 (slides)
  • A Short Course on Automated Machine Learning (AutoML). "Deep learning" (post-graduate level course). Department of Computer Science and Technology, School of EECS, Peking University (host by Prof. Ge Li). 28/05/2020
  • 自动化推荐系统 - 搜索协同过滤中的交互函数. 先荐@第四范式. (Online) 19/12/2019 (slides)
  • 优化之美 - 进击的机器学习优化技术. 中国人工智能产业年会 - 青年科学家论坛. (苏州, 江苏省) 01/12/2019 (slides)
  • Towards Automated Embedding of Knowledge Graphs. CSE@NJUST. (NanJing) 09/10/2019 (slides)
  • The Beauty of Optimization to Machine Learning - from sparse learning to automated machine learning. ECE@Xidian University. (XiAn) 07/09/2019
  • A tutorial to machine learning. State Grid Corporation of China. (Beijing). 09/07/2019
  • Robust Learning from Noisy labels. CSE@WHU. (Wuhan) 28/04/2019
  • Robust Learning from Noisy labels. keynote@PAKDD19 Workshop (Macau). 14/04/2019 (slides)
  • Knowledge Graph Embedding: Better and faster negative sampling. MOOC.ai. (online) 07/03/2019 (slides)
  • The Beauty of Optimization to Machine Learning - the evolving needs of optimization techniques. ECE@HUST. (Wuhan) 04/03/2019
  • The New Paradigm for Learning from Structured-data. Qiming College@HUST. (Wuhan) 03/03/2019
  • The Beauty of Optimization to Machine Learning - the evolving needs of optimization techniques. CSE@WHU (Wuhan). 02/03/2019
  • The Beauty of Optimization to Machine Learning - the evolving needs of optimization techniques. Global Scientist Interdisciplinary Forum@SUSTech (Shenzhen). 06/01/2019 (slides)
  • Structure-aware optimization for machine learning. Eastlake forum@HUST (Wuhan). 26/12/2018
  • Heterogeneous Side Information Fusion for Recommender Systems. Invited talk@ACML MIMO Workshop (Beijing). 14/11/2018 (slides)
  • Efficient Learning of Nonconvex Sparse and Low-rank Models. Valse (online). 17/10/2018 (slides)
  • Some Thoughts on Algorithms for Machine Learning. 15th Anniversary of Dian Group, HUST (Wuhan). 28/05/2017
  • Optimization for Machine Learning - with a focus on proximal gradient descent algorithm. 4Paradigm (Beijing). 24/02/2017 slides)
  • Efficient Learning with Nonconvex Regularizers by Redistributing Nonconvexity. McLab, HUST (Wuhan). 27/09/2016
  • Fast Learning with Nonconvex Regularization. NLP Department, Baidu (Shenzhen). 21/07/2016
  • Low-Rank Modeling with Fast Optimization. Citadel (Hong Kong). 31/03/2016