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Talks & Presentations

• Automated Knowledge Graph Learning. RIKEN AIP Seminar. 14/07/2022.
• 自动化机器学习原理方法与应用. CCF学科前沿讲习班. 27/06/2022.
• Fow-shot molecular property prediction. USC-THU Faculty Research Symposium. 10/05/2022. (slides)
• Fow-shot molecular property prediction. BAAI Live. 25/12/2021. (post)
• 机器学习：从自动化到自主化. 清华大学电子系青年教师论坛. 23/10/2021
• Automated Representation Learning from Knowledge Graph (v2.0). Valse Workshop (invited talk). 10/10/2021 (slides)
• Automated Learning from Noisy Labels@IJCAI 2021 Tutorial: Learning with Noisy Supervision. (slides) 22/08/2021.
• An Introduction to Automated Machine Learning (AutoML)@IJCAI 2021 Tutorial: Towards Automated Recommender System. (slides) 21/08/2021.
• Towards Automated Representation Learning of Knowledge Graphs (v1.0). 之江国际青年人才论坛. 16/11/2020 (slides)
• 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)
• The Beauty of Optimization to Machine Learning - from sparse learning to automated machine learning. ECE@Xidian University. (XiAn) 07/09/2019
• 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 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