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Ph.D. @ NTU # Efficient AI
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Nanyang Technological University
Data Scientist
June 29, 2026 – Present
LightForcing
February 3, 2026 – Present
[ICML 2026] Official repository for the paper "Light Forcing: Accelerating Autoregressive Video Diffusion via Sparse Attention"
View ProjectLLaMA3-Quantization
April 21, 2024 – January 14, 2025
A repository dedicated to evaluating the performance of quantizied LLaMA3 using various quantization methods..
View ProjectLightCompress
March 6, 2024 – Present
[EMNLP 2024 & AAAI 2026] A powerful toolkit for compressing large models including LLMs, VLMs, and video generative models.
View ProjectPTQ4SAM
March 5, 2024 – June 26, 2024
[CVPR 2024] PTQ4SAM: Post-Training Quantization for Segment Anything
View ProjectCultural Fit Analysis
The candidate's projects are heavily research-oriented and academic, which aligns well with roles requiring innovation and deep technical problem-solving. However, the lack of diverse project types (e.g., production deployments, team-based industry projects) and limited information on collaboration might indicate a need to assess their fit within a more product-focused or cross-functional team environment. The current experience is a 'Data Scientist' role at a university, which aligns with the research focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The candidate's profile primarily highlights technical project contributions and academic achievements.