About Me

Hi, I'm Luxin Zhang!
I'm a software engineer at Facebook. I was a graduate student enrolled in the Master of Science in Computer Vision (MSCV) program in The Robotics Institute at Carnegie Mellon University.
I was an undergraduate student at Department of Intelligence Science, School of EECS, Peking University.
I was a visiting student at Department of Computer Science, The University of Texas at Austin, instructed by Professor Dana Ballard during July and August 2017.
I was an intern in Big Data Mining Group at Microsoft Research Asia, supervised by Dr. Borje Karlsson from September 2017 to January 2018.
I am interested in Machine Learning, Computer Vision and Artificial Intelligence.

Educations

Aug. 2018 - Dec. 2019 School of Computer Science, Carnegie Mellon University Master of Science in Computer Vision

Sep. 2014 - Jul. 2018 Department of Computer Intelligence Science, Peking University Bachelor of Science Overall GPA: 3.56/4.0   Junior GPA: 3.70/4.0

Jul. 2017 - Sep. 2017 School of Computer Science, The University of Texas at Austin Vision, Cognition, and Action VR Lab Research Assistant to Professor Dana Ballard.

Experience

Mar. 2020 - present Facebook Software Engineer

May. 2019 - Aug. 2019 Facebook Software Engineering Intern

Sep. 2017 - Jan. 2018 Big Data Mining Group, Microsoft Research Asia Software Engineering Intern

Publications

Cloth Region Segmentation for Robust Grasp Selection
J. Qian*, T. Weng*, L. Zhang, B. Okorn and D. Held
IROS 2020, Las Vegas, USA, Oct. 2020
[PDF]

Atari-head: Atari Human Eye-Tracking and Demonstration Dataset
R. Zhang, C. Walshe, Z. Liu, L. Guan, K. Mulle, J. Whritner, L. Zhang, M. Hayhoe and D. Ballard
AAAI 2020, New York, USA, Feb. 2020
[PDF]

AGIL: Learning Attention from Human for Visuomotor Tasks
R. Zhang, Z. Liu, L. Zhang, J. Whritner, K. Muller, M. Hayhoe and D. Ballard
ECCV 2018, Munich, Germany, Sep. 2018
[PDF]

Learning Attention Model from Human for Visuomotor Tasks
L. Zhang, R. Zhang, Z. Liu, M. Hayhoe and D. Ballard
AAAI'18 Student Abstract and Poster Program, New Orleans, Louisiana, USA, Feb. 2018
[PDF] [Video]

Visual Attention Guided Deep Imitation Learning
R. Zhang, Z. Liu, L. Zhang, K. Muller, M. Hayhoe and D. Ballard
spotlight paper, NIPS'17 Cognitively Informed Artificial Intelligence Workshop, Long Beach, California, USA, Dec. 2017
[PDF]

Honors and Awards

• Outstanding Research Award, Peking University, 2015~2016

• Wu Si Scholarship, Peking University, 2015~2016

• Chang Fei Scholarship, School of EECS, Peking University, 2016~2017

Contact