Chengming Xu

Computer Vision · Multimodal Learning

Chengming Xu

Senior Researcher at Youtu Lab, Tencent · Ph.D. in Data Science, Fudan University

I work on deep learning for computer vision with limited supervision, with recent interests in visual in-context learning, multimodal reasoning, and controllable generation.

Research interests: few-shot learning, visual in-context learning, vision-language models, and video generation/editing.

Selected Recent Works

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* Equal contribution / core contributor. † Corresponding author.

Conformal Cache: Reliable Proxy-Discrepancy Caching for Fast Generative Inference

Wenxiao Wu*, Yukang Feng*, Yachen Gao, Chengming Xu†, et al.

NeurIPS 2026

Evidence-RL: Towards Evidence-intensive Visual Reasoning

Haojie Huang*, Xinlei Yu*, Chengming Xu*, et al.

NeurIPS 2026

PixVerve: Advancing Native UHR Image Generation to 100MP with a Large-Scale High-Quality Dataset

Haojun Chen*, Haoyang He*, Chengming Xu*, et al.

arXiv preprint, 2026

What Semantics Survive the Connector? Diagnosing VLM-to-DiT Alignment in Video Editing

Hangyu Lin*, Chao Wen*, Chengming Xu†, Jianxiong Gao, et al.

arXiv preprint, 2026

FFP-300K: Scaling First-Frame Propagation for Generalizable Video Editing

Xijie Huang*, Chengming Xu*, Donghao Luo, et al.

CVPR 2026