Fall 2022
Zhiyuan Yu. Dec 14. Generative Model with Nerf [pdf]
Fa Zhang. Dec. 1. Graph Classification. [pdf]
Jia Zhao. November 16. An introduction to contrastive learning. [pdf]
Gefei Wang. November 9. Alignment of multiple spatial transcriptomics slices. [pdf]
Xiaomeng Wan. October 27. Diffusion Posterior Sampling For General Noisy Inverse Problems. [pdf]
Zhiyuan Yu. October 19. Volume rendering and neural radiance fields (NeRF). [ppt]
Spring -- Summer, 2022
Cong ZHENG. July 28. Option pricing and dynamic hedging with reinforcement learning. [pdf]
Jiafa HE. July 21. Reinforcement learning and its applications. [pdf]
Zhiwei WANG. July 14. Gaussian Process Boosting. [pdf]
Fa ZHANG. July 7. An overview of graph neural networks and graph Markov neural networks. [pdf]
Jia ZHAO. June 16. An overview of leveraging spatial coordinate information in spatial transcriptomics data analysis. [pdf]
Gefei WANG. June 9. An introduction to Energy-based Generative Models. [pdf]
Jiashun XIAO. June 2. Leveraging the local genetic architecture for trans-association mapping. [pdf]
Mingxuan CAI. May 28. Finemapping and compressed sensing.
Shunkang ZHANG. May 19. Rematerialization & Tensor Swapping. We covered optimization techniques in training large-scale deep learning model. Specially, we discussed rematerialization which saves time by recomputing a value instead of loading it from memory based on static and dynamic computing graph, such as Dynamic Tensor Rematerialization.
Cong ZHENG. March 17. Market Making. In this group meeting, we first introduced basic concepts of market making. We also discussed Inventory management based on the AS model .
Jiafa HE. March 10. Introduction of Bitcoin, Ethereum, Smart Contracts and Dapps. In this group meeting, we covered the basic workflow of different decentralized applications based on the Blockchain technology, including Bitcoin, Ethereum, Smart Contracts and Dapps. We firstly overviewed the history and development of the blockchain, and then introduced the role of Ethereum as the platform for various decentralized applications, such as faucet (a simple example of smart contracts) and decentralized auction systems. Finally, we also discussed the pros and cons of decentralized applications as well as the potential direction for future improvement.