Xiaolong Ma is a Ph.D. candidate in the Department of Electrical and Computer Engineering in Northeastern University (NEU), supervised by Professor Yanzhi Wang.

His research interests include:

Efficient machine learning
High performance computing
Computer vision
Machine learning algorithm

Useful links: Google Scholar, DBLP, CoCoPIE real-time AI optimization framework: Youtube Channel, bilibili Channel.

Professional Experience

02/2020 – 12/2020 @ Alibaba Inc (U.S.), Sunnyvale, CA
Research Scientist Intern @ Alibaba DAMO Academy – Computing Technology Lab

News

09/2021, one paper is accepted with spotlight presentation in NeurIPS 2021.
09/2021, one paper is accepted in NeurIPS 2021.
09/2021, Xiaolong will serve as program committee member of AAAI 2021.
06/2021, one paper is in proceeding of the IJCAI 2021 demonstration track.
05/2021, one paper is accepted by TPAMI (Impact Factor 17.861).
05/2021, one paper is accepted by ICML 2021.
05/2021, Best Paper Award in the ICLR 2021 workshop of Hardware-Aware Efficient Training of Deep Learning Models.
04/2021, one paper is accepted as Contributed Article in the Communications of the ACM (CACM)
04/2021, one paper is accepted by ISCA 2021.
02/2021, one paper is formally accepted by TNNLS (Impact Factor 8.793).
02/2021, one paper is accepted by DAC 2021.
01/2021, one paper is accepted by ISQED 2021.
11/2020, one paper is accepted by DATE 2021.
11/2020, one paper is formally accepted by TNNLS (Impact Factor 8.793).
09/2021, Xiaolong will serve as program committee member of AAAI 2020.
09/2020, one paper is accepted by GLSVLSI 2020.
08/2020, one paper is accepted by SOCC 2020.
07/2020, one paper is accepted by PACT 2020.
07/2020, one paper is accepted ECCV 2020.
04/2020, one paper is accepted ICS 2020.
02/2020, two papers are accepted by DAC 2020.
11/2019, Xiaolong will join Alibaba Damo Academy (Sunnyvale, CA) as research scientist intern in 02/2020.
11/2019, one paper is accepted by AAAI 2020.
11/2019, one paper is accepted by AAAI 2020..
11/2019, one paper is accepted by ASPLOS 2020.