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".

• 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.

• Marchi 1, Jingsi Ming. Variational deep learning on single-cell RNAseq data analysis.

• 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.

• 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.