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Posts

Speculative Decoding

less than 1 minute read

Published: January 30, 2025

Mixture of Experts

less than 1 minute read

Published: January 30, 2025

MoE LLMs

DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning from DeepSeek-AI

Image Synthesis

less than 1 minute read

Published: January 30, 2025

✅ -> finished reading ❌ -> not yet finished reading

coursework

Statistical Machine Learning (机器学习基础)

Undergraduate course, Renmin University of China, 2024

This is a math intensive machine learning course lectured by Prof. Hongteng Xu from GSAI, Renmin University of China. The course has a focus on the mathematical derivations and theorems behind machine learning algorithms, covering four major topics in statistical machine learning: Regression, Dimensionality Reduction, Clustering, and Classification.

Multimodal Machine Learning (多模态机器学习)

Undergraduate course, Renmin University of China, 2025

This is a comprehensive course on multimodal machine learning lectured by Prof. Wenbing Huang from GSAI, Renmin University of China. This course predominantly focuses on recent advances in Computer Vision, Vision Language Model (VLM) and Multimodal Large Language Model (MLLM).

Optimization Methods (最优化方法)

Undergraduate course, Renmin University of China, 2025

This is a math-intensive optimization methods course lectured by Prof. Feng Zhou from the School of Statistics, Renmin University of China. The course covers basic topics in optimization methods, including linear search methods, unconstrained optimization and constrained optimization.

Parallel Computing (大数据并行计算)

Undergraduate course, Renmin University of China, 2025

This is an applied introductory course on parallel computing lectured by Yanbing Bai from the School of Statistics, Renmin University of China. This courses mainly focuses accelerating the computation of large-scale satellite data using parallel computing techniques, such as multiprocessing, threading, OpenMP, MPI, and CUDA.

Stochastic Processes (随机过程)

Undergraduate course, Renmin University of China, 2025

This is an applied stochastic processes course lectured by Prof. Yugu Xiao from the School of Statistics, Renmin University of China. The course covers 5 major sections in stochastic processes: Poisson Processes, Renewal Processes, Markov Chains, Martingales, and Brownian Motion. Advanced topics such as stochastic calculus is not covered in this course.