Xu Ma (马旭)


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

Email: ma.xu1[at]northeastern.edu

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Brief Bio
I am a PhD candidate in the College of Engineering, Northeastern University, USA and work with Prof. Yun Raymond Fu in the SMILE Lab. Before that I spent two years in the Department of Computer Sicence & Engineering, University of North Texas, working with Prof. Song Fu. Many thanks for Prof. Song Fu's kind help and great supports during the time! I received my BS and MS degrees in the College of Information Science and Technology, Nanjing Forestry University, China, advised by Prof. Yingan Liu and Prof. Qiaolin Ye.
My research interests are in the areas of Computer Vision, and Machine Learning. I was a research intern at Bell Labs Murry Hill in the summer of 2020 (remotely), and eBay Computer Vision Group San Jose in 2022. I was the recipient of ICME'20 Best Student Paper Award, SEC'19 Best Paper Award, and Academic Technology Scholar Award from Northeastern University for Fall 2022.

- I'm actively looking for a visiting position in academia or industry for Fall 2023 (and/or Spring 2024). Please drop me an email if you or your research group is interested.
News

[Mar. 2022] I will serve as a reviewer for NeurIPS 2023.

[Mar. 2022] I will serve as a reviewer for Workshop on Efficient Deep Learning for Computer Vision and Workshop on Transformers for Vision at CVPR 2023.

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

[Dec. 2022] I will serve as a member of the Program Committee (PC) for KDD'23.

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

[Dec. 2022] I will serve as a Program Committee Member for ICME'23.

[Dec. 2022] I will serve as a Reviewer for IJCAI'23.

[Nov. 2022] I will serve as a Reviewer for ICASSP'23.

[Nov. 2022] I will serve as a Reviewer for CVPR'23.

[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.

[Aug. 2022] I will serve as a Program Committee Member for AAAI-23.

[Apr. 2022] Received the travel grant award for CVPR 2022.

[Apr. 2022] I will serve as a reviewer for ACM MM 2022.

[Mar. 2022] I will serve as a reviewer for NeurIPS 2022.

[Mar. 2022] I will serve as a reviewer for Efficient Deep Learning for Computer Vision Workshop @ CVPR 2022.

[Mar. 2022] I will serve as a reviewer for ECCV 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.

[Feb. 2022] I will serve as a PC member of IJCAI-ECAI 22 AI4G track.

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

[Nov. 2021] I will serve as a reviewer for CVPR 2022.

[Nov. 2021] I will serve as a reviewer for ICLR 2022.

[Oct. 2021] I will serve as a reviewer for IJCAI 2022 and FG 2021.

[Mar. 2021] Two paper accepted by ICME, oral and poster.

[Feb. 2021] One paper accepted by IEEE Transactions on Multimedia.

[Jan. 2021] Invited as an reviewer for IEEE Signal Processing Letters.

[Jan. 2021] I move to Boston and Join Smile Lab.

Publications [Google Scholar]
Image as Set of Points

Xu Ma, Yuqian Zhou, Huan Wang, Can Qin, Bin Sun, Chang Liu, Yun Fu
ICLR Oral 2023
[arXiv, soon] [code, will be reoganized]

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]

 

Services and Honors

© 2022 Xu Ma. Thanks to Dr. Ce Liu and Dr. Deqing Sun for the template. [Updated: Mar/29/2022]