Shilin Ma

Shilin Ma profile image

Hi! I am a PhD student at Tsinghua University, advised by Prof. Yansong Tang.

Previously, I received my B.Eng. degree in Electronic Engineering from Tsinghua University in 2025.

My research focuses on physical agents and long-horizon embodied tasks, with an emphasis on agent memory, planning, and closed-loop control.

Shilin Ma profile image

Education

Tsinghua University
  • PhD student, Shenzhen International Graduate School
  • Advisor: Prof. Yansong Tang
Tsinghua University
  • B.Eng. in Electronic Engineering
  • Department of Electronic Engineering

Industrial Experience

Tencent Robotics X
  • Research Intern
  • Research on embodied agents for long-horizon tasks

Recent Publications

(* Equal contribution, Corresponding author)

Figure 4: the overall SAFE-Pruner framework SAFE-Pruner: Semantic Attention-Guided Future-Aware Token Pruning for Efficient Vision-Language-Action Manipulation
Shilin Ma, Chubin Zhang, Changyuan Wang, Yuji Wang, Yue Wu, Zixuan Wang, Jingqi Tian, Zheng Zhu, Yansong Tang
European Conference on Computer Vision (ECCV), 2026
[arXiv] [Paper] [Code] [Project Page]

We propose a training-free, future-aware visual token pruning framework for efficient VLA manipulation.

VARestorer pipeline VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
Yixuan Zhu*, Shilin Ma*, Haolin Wang, Ao Li, Yanzhe Jing, Yansong Tang, Lei Chen, Jiwen Lu, Jie Zhou
International Conference on Learning Representations (ICLR), 2026
[arXiv] [Paper] [Code] [Project Page]

We distill a visual autoregressive model into a one-step real-world image super-resolution model.

FADE video editing pipeline FADE: Frequency-Aware Diffusion Model Factorization for Video Editing
Yixuan Zhu*, Haolin Wang*, Shilin Ma*, Wenliang Zhao, Yansong Tang, Lei Chen, Jie Zhou
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025
[arXiv] [Paper] [Code]

We factorize diffusion features by frequency to balance structural consistency and appearance change in video editing.

UA-NWM training and inference pipeline Uncertainty-Aware World Model for Aerial Image-Goal Navigation
Deyi Zhu, Haoyu Fan, Yinan Zhu, Weichen Zhang, Shilin Ma, Xinlei Chen, Yansong Tang
Preprint, 2026
[arXiv] [Paper] [Project Page]

We formulate trajectory scoring as conditional out-of-distribution detection for robust aerial navigation under future-state uncertainty.

AdaThinkV training and inference pipeline AdaThinkV: Adaptive Thinking for Token-Efficient Video Reasoning
Jingqi Tian*, Haoji Zhang*, Lin Chen*, Hongbo Jin, Haonan Xu, Tianrui Zhu, Xingming Shui, Shilin Ma, Wenjing Yang, Yansong Tang
Preprint, 2026
[arXiv] [Paper] [Code] [Project Page]

We propose an adaptive video-reasoning framework that learns when explicit reasoning is worth its generation cost.

MorphoQuant pipeline MorphoQuant: Modality-Aware Quantization for Omni-modal Large Language Models
Yue Wu, Changyuan Wang, Zixuan Wang, Shilin Ma, Yansong Tang
Preprint, 2026
[arXiv] [Paper]

We develop a modality-aware post-training quantization framework that preserves cross-modal structure at 4-bit precision.