Xin ZHANG

Hi, there! I am a Ph.D. student majoring in Electrical and Computer Engineering(ECE) at National University of Singapore (NUS), supervised by Prof. Robby T. Tan. Before that, I received both my bachelor's and master's degrees from Beihang University.

My primary research interests include semantic segmentation, parameter-efficient fine-tuning and vision foundation models, etc.

Email: x.zhang@u.nus.edu

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[Jul. 2026] Our paper "Actor as Its Own Critic: Unifying Region Understanding and Localization via CycleGRPO" is accepted to ECCV 2026!

[Apr. 2025] Our paper "Mamba as a Bridge: Where Vision Foundation Models Meet Vision Language Models for Domain-Generalized Semantic Segmentation" is selected as a CVPR 2025 Highlight!

We introduce CycleGRPO, a self-evaluating reinforcement learning framework that closes the region-to-text-to-region loop, jointly improving region understanding and localization without caption ground truth.

We propose MFuser, a lightweight Mamba-based framework that efficiently fuses vision foundation and vision-language models, achieving state-of-the-art performance in domain-generalized semantic segmentation with strong spatial and semantic alignment.

We introduce ERF, the first benchmark for semantic segmentation under violent rain, revealing major model robustness gaps.

We propose a hierarchical contrastive grouping framework, HEAP, for unsupervised object discovery and localization.

This work introduces AdaODM, which adapts models at test time by reducing classifier disagreement, boosting generalization to unseen domains.

Serve as a reviewer for CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, MICCAI, TPAMI, TMLR.

[2020] Outstanding Master’s Graduate of Beijing

[2019] National Scholarship

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