Zhijian Liu
zhijian [at] mit (dot) edu
I am a fourth-year PhD student at MIT, advised by Song Han. My
research focuses on efficient deep learning and its applications in computer vision and robotics.
Before coming to MIT, I received my B.Eng. in Computer Science from Shanghai Jiao Tong University.
During my undergrad, I was fortunate to work with Jiajun Wu, Josh Tenenbaum and Bill Freeman.
Email
/ Google Scholar
/ LinkedIn
/ GitHub
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News
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Publications
SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss
Zhijian Liu*,
Haotian Tang*,
Sibo Zhu*,
Song Han
IROS 2021
LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision
Zhijian Liu,
Simon Stent,
Jie Li,
John Gideon,
Song Han
ICCV 2021
Efficient and Robust LiDAR-Based End-to-End Navigation
Zhijian Liu*,
Alexander Amini*,
Sibo Zhu,
Sertac Karaman,
Song Han,
Daniela L. Rus
ICRA 2021
Differentiable Augmentation for Data-Efficient GAN Training
Shengyu Zhao,
Zhijian Liu,
Ji Lin,
Jun-Yan Zhu,
Song Han
NeurIPS 2020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
Haotian Tang*,
Zhijian Liu*,
Shengyu Zhao,
Yujun Lin,
Ji Lin,
Hanrui Wang,
Song Han
ECCV 2020
/ Paper
/ arXiv
/ Project Page
DataMix: Efficient Privacy-Preserving Edge-Cloud Inference
Zhijian Liu*,
Zhanghao Wu*,
Chuang Gan,
Ligeng Zhu,
Song Han
ECCV 2020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
Muyang Li,
Ji Lin,
Yaoyao Ding,
Zhijian Liu,
Jun-Yan Zhu,
Song Han
CVPR 2020
/ arXiv
/ Code
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Tianzhe Wang*,
Kuan Wang*,
Han Cai,
Ji Lin,
Zhijian Liu,
Hanrui Wang,
Yujun Lin,
Song Han
CVPR 2020
Lite Transformer with Long-Short Range Attention
Zhanghao Wu*,
Zhijian Liu*,
Ji Lin,
Yujun Lin,
Song Han
ICLR 2020
AutoML for Architecting Efficient and Specialized Neural Networks
Han Cai*,
Ji Lin*,
Yujun Lin*,
Zhijian Liu*,
Kuan Wang*,
Tianzhe Wang*,
Ligeng Zhu*,
Song Han
IEEE Micro 2020
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Kuan Wang*,
Zhijian Liu*,
Yujun Lin*,
Ji Lin,
Song Han
CVPR 2019
/ Paper
/ arXiv
/ Project Page
/ Code
Oral Presentation
Unsupervised Discovery of Parts, Structure, and Dynamics
Zhenjia Xu*,
Zhijian Liu*,
Chen Sun,
Kevin Murphy,
William T. Freeman,
Joshua B. Tenenbaum,
Jiajun Wu
ICLR 2019
/ Paper
/ arXiv
/ Project Page
Learning to Exploit Stability for 3D Scene Parsing
Yilun Du,
Zhijian Liu,
Hector Basevi,
Ales Leonardis,
William T. Freeman,
Joshua B. Tenenbaum,
Jiajun Wu
NeurIPS 2018
/ Paper
/ Project Page
Physical Primitive Decomposition
Zhijian Liu,
William T. Freeman,
Joshua B. Tenenbaum,
Jiajun Wu
ECCV 2018
/ Paper
/ arXiv
/ Project Page
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Yihui He*,
Ji Lin*,
Zhijian Liu,
Hanrui Wang,
Li-Jia Li,
Song Han
ECCV 2018
/ Paper
/ arXiv
/ Project Page
/ Code
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