Group Meeting 2019
Nov. 1. Yueqi QIAN. An introduction to deep reinforcement learning. [Talk Slides]
October 25. Yuchen MA. A brief introduction to GPU programming. [Talk Slides]
October 18. Zhiyuan YU. Abstractive Summarization in NLP. [Talk Slides]
October, 11. Zhixian CHEN. PinSAGE: Graph Convolutional Neural Networks for Web Scale Recommender Systems. [Talk Slides]
October, 4. Jiafa HE. Geometric deep learning for point cloud analysis. [Talk Slides]
September, 27. Shunkang ZHANG. Attention mechanism in deep learning. [Talk Slides]
September, 20. Jiashun XIAO. Identification of genetic signatures of human face by AI-driven phenotyping.
September, 13. Xiaomeng WAN. Invertible residual networks and Residual flow for invertible generative modeling. [Talk Slides][Code]
Special thanks to Xiaomeng for her very impressive talk on Mid-Autumn Day!
September, 6. Cong ZHENG. Conditional GANs. [Talk Slides][Code]
August, 30. Gefei WANG. Progressive training of GANs. [Talk Slides][Code]
August, 23, Jia ZHAO. Pixel Convolutional Neural Networks (PixelCNN) and Vector Quantised Variational AutoEncoder (VQ-VAE). [Talk Slides][Code]
July 25, Mingxuan CAI. Recent progress in trans-ethnic studies.
July 18, Jiashun XIAO. Connecting human genome with human face by AI-driven facial phenotyping.
May 9, Xiaomeng Wan. From VAE to FFJORD [link].
May 3, Xu Liao. Discussion about "oi-VAE: Output Interpretable VAEs for Nonlinear Group Factor Analysis".
Xu LIAO
Xu LIAO
March 29, Jiashun XIAO. Face alignment: from Machine Learning to Deep Learning. An interesting paper "One Millisecond Face Alignment with an Ensemble of Regression Trees" [link] was discussed.
March 15, Xiaomeng WAN. f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization.
March 8, Jianfa LAI. AlphaGo, AlphaGoZero and AlphaZero with Reinforcement learning.
Jianfa LAI
Xiaomeng WAN
Jiashun XIAO
Marchi 1, Jingsi Ming. Variational deep learning on single-cell RNAseq data analysis.
Jingsi MING
Yujie WANG
Feb. 22, Yujie WANG. Reinforcement learning using generalized advantage estimation.
Feb. 15, Jia ZHAO. Reparameterization gradients through acceptance-rejection sampling algorithms by C. Naesseth, F. Ruiz, S. Linderman, and D. Blei.
Jia ZHAO
Jia ZHAO
Jan. 24, 2019. Gefei WANG. Learning deep generative model via variational gradient flow.
Jan. 11. 2019. Yuling JIAO. Deep Generative learning via functional gradient descent.