ScAI Machine Learning Seminar (2019-2020, Archive)

Welcome to our ScAI seminar on machine learning! Each week, we invite a current researcher to give a talk on the latest advancement in big data and machine learning. Please check the following links to slides.

Spring 2019

Time & Location: 10:00-11:30am, Fridays, Room 289, Engeering VI


Date Title Speaker Refs.
4.10 Generative Pre-training of Graph Neural Networks Ziniu Hu PDF, Video

Winter 2019

Date Title Speaker Refs.
2.7 Dynamic Neural User Models Srijan Kumar PDF
2.21 Neural Network-based Graph-Level Operator Learning Yunsheng Bai N/A
2.28 Unsupervised state embedding and aggregation towards scalable reinforcement learning Mengdi Wang N/A

Fall 2019

Date Title Speaker Refs.
10.4 Deep Learning on Graphs: Methods and Applications Lingfei Wu N/A
10.11 Reducing Societal Bias in Natural Language Processing Jieyu Zhao N/A
10.18 Two-view Knowledge Graph Learning and Applications on Recommendation Junheng Hao PDF
10.25 Data Science at Scale: from Theory to Practice Xiaolin Shi N/A
11.1 How Powerful are Graph Neural Networks? (Cancelled) Jure Leskovec N/A
11.20 Machine Reading for Precision Medicine (Location: MRL1-441) Hoifung Poon N/A
11.22 Deep Probabilistic Logic: A Unifying Framework for Self-Supervision Hoifung Poon N/A

Seminars in previous academic year: