Xu Ma

Xu Ma (马旭)

Ph.D. Candidate,
SmileLab
Department of Electrical and Computer Engineering
Northeastern University.

Email: ma.xu1[at]northeastern.edu

Google Scholar Linkedin

Brief Bio

Xu Ma, PhD candidate @ Northeastern University, advised by Prof. Yun Raymond Fu.

Research Interests: Model Efficiency, Generative AI.

Research Internships: Bell Labs, eBay, Microsoft, Adobe, Meta GenAI.

Awards: ICME'20 Best Student Paper, SEC'19 Best Paper, NeurIPS'22 Outstanding Reviewer, CVPR'23 Outstanding Reviewer

Target: papers that can be called research, insightful and impactful, or useful. NO spam papers.

-- 2023

News

[Mar. 2024] I will join Meta GenAI as a research intern this summer.

[Feb 2024] One paper “Rewrite the Stars” has been accepted by CVPR'24.

[Jan. 2024] I will join Microsoft as a research intern in Spring 2024.

[Jan. 2023] One paper (Efficient Modulation for Vision Networks)accepted by ICLR'24.

[Jul. 2023] Two papers accepted by ICCV'23.

[May. 2023] I will join Adobe Research as a research intern.

[May. 2023] Named as CVPR 2023 Outstanding Reviewer.

[Jan. 2023] We have one paper (Image as Set of Points)accepted by ICLR'23 as Oral.

[Dec. 2022] I will join Microsoft as a research intern in Spring 2023.

[Oct. 2022] Selected as a Top Reviewer for NeurIPS'22.

[Sep. 2022] We have one paper on Parameter-efficient Transformer accepted by NeurIPS'22.

[Aug. 2022] We have one paper on Video Anomaly Detection accepted by ICDM'22.

[Aug. 2022] I have been selected as an Academic Technology Scholar from Northeastern University for Fall 2022.

[Mar. 2022] One paper on Image Vectorization accepted by CVPR'22 as Oral, thanks to my co-authors!

[Feb. 2022] I will join eBay Computer Vision group as a research intern this summer. See you in San Jose.

[Jan. 2022] One paper on Point Cloud Analysis accepted by ICLR'22.

Publications [Google Scholar]

	Rewrite the Stars Xu Ma, Xiyang Dai, Yue Bai, Yizhou Wang, Yun Fu CVPR 2024 [arXiv] [code]
	Efficient Modulation for Vision Networks Xu Ma, Xiyang Dai, Jianwei Yang, Bin Xiao, Yinpeng Chen, Yun Fu, Lu Yuan ICLR 2024 [openreivew] [code]
	Image as Set of Points Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu ICLR Oral 2023 [openreivew] [code]
	Towards Layer-wise Image Vectorization Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi CVPR Oral 2022 [arXiv] [code] [project homepage] [colab] [huggingface space]
	Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework Xu Ma, Can Qin, Haoxuan You, Haoxi Ran, Yun Fu ICLR 2022 [pdf] [arXiv] [code]
	A Close Look at Spatial Modeling: From Attention to Convolution Xu Ma, Huan Wang, Can Qin, Kunpeng Li, Xingchen Zhao, Jie Fu, Yun Fu arXiv 2022 [arXiv] [code]
	Parameter-Efficient Masking Networks Yue Bai, Huan Wang, Xu Ma, Yitian Zhang, ZHIQIANG TAO, Yun Fu NeurIPS 2022 [arXiv] [code]
	Making Reconstruction-based Method Great Again for Video Anomaly Detection Yizhou Wang, Can Qin, Yue Bai, Yi Xu, Xu Ma and Yun Fu ICDM 2022 [arXiv] [Code]
	Position-aware recalibration module: Learning from feature semantics and feature position Xu Ma, Song Fu IJCAI 2020 [pdf] [Code]