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Ph.D. student at the Renmin University of China (from the 2023 fall @ML-GSAI ). I'm interested in scalability and optimization in deep learning.
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Renmin University of China
Data Scientist
June 29, 2026 – Present
Width-Depth-muP
February 28, 2026 – Present
Official implementation for our paper "Spectral Condition for μP under Width–Depth Scaling".
View ProjectDiffusion-LLM-Papers
May 28, 2025 – September 15, 2025
A Collection of Papers on Diffusion Language Models
View ProjectScaling-Diffusion-Transformers-muP
May 21, 2025 – November 2, 2025
[NeurIPS 2025] Official implementation for our paper "Scaling Diffusion Transformers Efficiently via μP".
View ProjectMesaOpt-AR-Transformer
October 25, 2024 – October 25, 2024
[NeurIPS 2024] Official implementation for our paper "On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability".
View ProjectLCGDM
June 17, 2023 – June 17, 2023
[TGRS 2023] Official implementation for the paper Domain Adaptive Land-Cover Classification via Local Consistency and Global Diversity.
View ProjectUnderstanding-GDA
May 17, 2023 – May 30, 2023
[NeurIPS 2023] Official implementation for our paper "Toward Understanding Generative Data Augmentation".
View ProjectAutoLC
December 11, 2022 – December 11, 2022
[ICPR 2022] AutoLC: Search Lightweight and Top-Performing Architecture for Remote Sensing Image Land-Cover Classification. Including implementations of AutoDeepLab, Deeplab, Deeplabv3, Deeplabv3+, U-Net, FCN, PSPNet on LoveDA, Cityscapes and Floodnet data sets.
View Project2021SpringCOE-WHU
June 3, 2021 – June 27, 2021
武汉大学2021年春季学期,计算机组成原理实验代码,包括modelsim和vivado工程文件
View ProjectFloodNet-Challenge-EARTHVISION-2021
May 15, 2021 – May 15, 2021
FloodNet Challenge @ EARTHVISION 2021:https://competitions.codalab.org/competitions/30320
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards academic research and publications in advanced machine learning, particularly in diffusion models, transformers, and remote sensing image analysis. This aligns well with a research-intensive Data Scientist role. The diversity of projects, while all academic, shows a broad interest within the ML domain. The current role at Renmin University of China as a Data Scientist further supports this fit. The lack of diverse industry experience or collaborative team projects outside of academic settings might indicate a need to assess adaptability to different organizational cultures.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong focus on research and academic contributions, suggesting a detail-oriented and analytical approach. The involvement in competitive challenges and paper implementations points to a drive for problem-solving and achieving high-quality results. However, without psychometric test results or interview data, it is difficult to assess specific soft skills like teamwork, stress handling, or communication clarity in a collaborative operational environment.