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Enshu Liu

MS student, Tsinghua University, Tsinghua University

3 papers at NeurIPS 2025

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Poster Session 2

Wednesday, December 3, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

Distilled Decoding 2: One-step Sampling of Image Auto-regressive Models with Conditional Score Distillation

#4203 · Enshu Liu, Qian Chen, Xuefei Ning, Shengen Yan, Guohao Dai, Zinan Lin, Yu Wang

We propose a new method that reduce the sampling steps of image auto-regressive models to only 1

Poster Session 3

Thursday, December 4, 2025 · 11:00 AM → 2:00 PM

Exhibit Hall C,D,E

Latent Zoning Network: A Unified Principle for Generative Modeling, Representation Learning, and Classification

#3601 · Zinan Lin, Enshu Liu, Xuefei Ning, Junyi Zhu, Wenyu Wang, Sergey Yekhanin

A Unified Principle for Generative Modeling, Representation Learning, and Classification

Poster Session 4

Thursday, December 4, 2025 · 4:30 PM → 7:30 PM

Exhibit Hall C,D,E

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing

#5317 · Tianyu Fu, Yi Ge, Yichen You, Enshu Liu, Zhihang Yuan, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang

We train a token-level neural router to let SLM following LLM reasoning paths by replacing only divergent tokens