My research interests lie in 🎞️ Computer Vision, 🤖 Embodied AI, and 🏦 Fintech.
Lately, I've been immersed in the engineering implementation of agent benchmarks (e.g., GUI agents), with a particular
focus on how to improve the evaluation automation efficiency.
I'm open to collaborations on agent-related projects and welcome any online coffee chat!
Publications (* denotes equal contribution)
GUI-ReWalk: Massive Data Generation for GUI Agent via Stochastic Exploration and Intent-Aware Reasoning
Musen Lin*,
Minghao Liu*,
Taoran Lu*,
Lichen Yuan*,
Yiwei Liu,
Haonan Xu,
Yu Miao,
Yuhao Chao,
Zhaojian Li arXiv
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Website
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Bibtex
TL;DR:
GUI-ReWalk is a multi-stage framework for GUI trajectory synthesis mimicking human-computer interaction based on stochastic exploration and goal-aware reasoning.
Bi-Adapt: Few-shot Bimanual Adaptation for Novel Categories of 3D Objects via Semantic Correspondence
Jinxian Zhou,
Ruihai Wu,
Yiwei Liu,
Yiwen Hou,
Xunzhe Zhou,
Checheng Yu,
Licheng Zhong,
Lin Shao arXiv
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Website
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Bibtex
TL;DR:
Bi-Adapt integrates category-specific object features, task-level manipulation goals, and a few-shot adaptation strategy based on contact point selection to enable bi-manual manipulation.
Uncertainty-based Ensemble Learning in CMR Semantic Segmentation
Yiwei Liu,
Ziyi Wu,
Liang Zhong,
Lingyi Wen,
Yuankai Wu arXiv
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Code
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Bibtex ICASSP 2026International Conference on Acoustics, Speech, and Signal Processing
Poster Presentation, ICASSP 2026
TL;DR:
We propose an ensemble learning paradigm, Streaming, to enhance end-slice accuracy while maintaining near-SOTA DSC performance on cardiac CMR datasets.
TL;DR:
MetaFold employs language-guided point cloud trajectories for task planning and a foundation model for action prediction, enabling better generalization across garments and instructions.
TL;DR:
We propose a novel framework based on PLMs and LLMs, which systematically integrates firm-specific micro-level sentiment, industry-specific meso-level sentiment, and duration-aware smoothing to model the latency and persistence of textual impact.
Education
National University of Singapore
2024.08 - 2025.05
Early Collaborator 2024.10 - 2025.10
CEO: Ye Tian Website
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