Singapore

Zigeng Chen

Advanced
@czg1225

PhD Student @NUS

czg1225.github.io/chenzigeng99/

SlimSAM. [NeurIPS 2024] SlimSAM: 0.1% Data Makes Segment Anything Slim

360

AsyncDiff. [NeurIPS 2024] AsyncDiff: Parallelizing Diffusion Models by Asynchronous Denoising

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DMax. DMax: Aggressive Parallel Decoding for dLLMs

127

Awesome-Efficient-Segment-Anything. One summary of efficient segment anything models

124

CoDe. [CVPR 2025] CoDe: Collaborative Decoding Makes Visual Auto-Regressive Modeling Efficient

108

VeriThinker. [NeurIPS 2025] VeriThinker: Learning to Verify Makes Reasoning Model Efficient

67

dParallel. [ICLR 2026] dParallel: Learnable Parallel Decoding for dLLMs

65

NUS-EE5907-CA1-by-Chen-Zigeng. Jupyter Notebook

4

NUS-EE5907-CA2-by-ChenZigeng. Jupyter Notebook

3

chenzigeng99. academic personal homepage

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