Ligeng Zhu
ligeng [at] mit (dot) edu
I am a Ph.D student at MIT, fortunately working with Prof. Song
Han.
Before coming to freezing Boston (not that cold recent days), I have lived in Hangzhou and Vancouver, where I was a member of Dual
Degree Program between Zhejiang University and Simon Fraser University.
My research interests focus on efficient designs for edge computing.
During my undergrade, I worked with Prof. Brian
Funt on colour vision, and Prof. Ping Tan on
attribute recognition.
If you find any research interests that we might share, feel free to drop me an email. I am always open
to potential collaborations.
Email
/ Google Scholar
/ GitHub
/ Résumé
Latest update on April 20 2024.
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News
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Publications
Enable deep learning on mobile devices: Methods, systems, and applications
Han Cai*, Ji Lin*, Yujun Lin*, Zhijian Liu*, Haotian Tang*, Hanrui Wang*, Ligeng Zhu*, Song Han
(* denotes equal contribution, sorted in aplhabetic order)
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2022
Paper
Distributed Training across the World
Ligeng Zhu,
Yao Lu,
Yujun Lin,
Song Han
Neural Information Processing Systems (NeurIPS) Workshop on Systems for ML (MLSys), 2019
Paper
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Poster
Scale Synchronous SGD across the world, without loss of speed and accuracy!
Media coverage:
Zhihu
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Students Collaborated with
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Talks & Presentations
- [08/2019] AutoML for Efficient Neural Architecture Design (Slides)
@ OpenPower Summit, Polarr Tech
- [08/2019] Scalable and Secure Machine Learning for Edge Devices @ Qualcomm
- [05/2019] Neural Architecture Designs @ UIUC IFP Group (Slides)
- [12/2018] Proxylessly Specialize CNN for Hardware @ IBM-MIT Watson Events (Poster)
- [01/2018] Sparsely Aggregated Convolutional Networks (Slides)
@ UBC Vision Group, Deephi Tech, Sensetime Inc
- [11/2017] Invited lectures about deep learning
(Lecture1,
Lecture2)
@ SFU Computer Vision Course (CMPT-412), ZJU Programming Group
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Open-source Projects (Selected)
My life (both academic and daily) is greatly powered by open source projects. To thank their selfless
effort, I embrace open source as much as possible. Please refer to my github for a complete list of projects.
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Services
Review papers for:
NeurIPS 22 / CVPR 22 / NeurIPS 21 / ICCV 21 / ICML 21 / ACL 21 / NeurIPS 20 / CVPR 20 / AAAI 20 / NeurIPS 19 / ICCV 19 / CVPR 19
T-PAMI / IEEE Micro
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