Tianjian Meng

(Tien-Chien Meng 孟天健)

1600 Amphitheatre Pkwy, Mountain View, CA 94043

(412) 888-9277

mengtianjian@google.com

I'm currently a Software Engineer at Google Cloud AI, working closely with Dr. Mingxing Tan, Dr. Yin Cui, Dr. Quoc Le and Prof. Ming-Hsuan Yang. I received my Bachelor of Science in Computer Science from University of Pittsburgh summa cum laude. I'm lucky to have worked with Prof. Zhangyang (Atlas) Wang at UT Austin, Prof. Xiaolong Wang at Carnegie Mellon University and Dr. Litong Feng, Prof. Liang Lin and Prof. Ping Luo at SenseTime Research. I'm interested in developing automated, efficient and scalable algorithms to solve Computer Vision related problems. My main interests include Neural Architecture Search, Self-Supervised Learning and Video Understanding, etc.

Recent News:

GitHub / Kaggle / LinkedIn / Google Scholar / CV

Publications

Rethinking Co-design of Neural Architectures and Hardware Accelerators

Yanqi Zhou*, Xuanyi Dong*, Berkin Akin*, Mingxing Tan, Daiyi Peng, Tianjian Meng, Amir Yazdanbakhsh, Da Huang, Ravi Narayanaswami, James Laudon

Tech report, February 2021.

Spatiotemporal Contrastive Video Representation Learning

Rui Qian*, Tianjian Meng*, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge Belongie, Yin Cui

In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2021.

A Design Space Study for LISTA and Beyond

Tianjian Meng*, Xiaohan Chen*, Yifan Jiang, Zhangyang Wang

In The 9th International Conference on Learning Representations (ICLR), May 2021.

Go Wide, Then Narrow: Efficient Training of Deep Thin Networks

Denny Zhou, Mao Ye, Chen Chen*, Tianjian Meng*, Mingxing Tan*, Xiaodan Song, Quoc Le, Qiang Liu, Dale Schuurmans

In The 37th International Conference on Machine Learning (ICML), July 2020.

SSN: Learning Sparse Switchable Normalization via SparsestMax

Wenqi Shao*, Tianjian Meng*, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo

In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.


Research Experiences

Google Research

Sep 2019 - Present
Software Engineer

ByteDance AI Lab

Jul 2019 - Sep 2019
Research Intern

Carnegie Mellon University

Jan 2019 - Jul 2019
Research Assistant

SenseTime Research

May 2018 - Jan 2019
Research Intern
Human-Cyber-Physical Intelligence Integration

University of Pittsburgh

Apr 2017 - May 2018

Research Assistant

Pitt Computational Social Dynamics Lab

Supervisor: Prof. Yu-Ru Lin


Education

University of Pittsburgh

Aug 2016 - Aug 2019

Pittsburgh, PA

Bachelor of Science in Computer Science (summa cum laude)

Carnegie Mellon University

May 2017 - May 2018

Pittsburgh, PA

Visiting/Non-Degree Student

Beijing Jiaotong University

Sep 2014 - Jun 2016

Beijing, China

Bachelor of Engineering, Discontinued (Transferred out)