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Zhijian Liu
Zhijian Liu
Ph.D. Student, MIT
Zweryfikowany adres z mit.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Deep Leakage from Gradients
L Zhu, Z Liu, S Han
Conference on Neural Information Processing Systems (NeurIPS), 2019
18792019
AMC: AutoML for Model Compression and Acceleration on Mobile Devices
Y He*, J Lin*, Z Liu, H Wang, LJ Li, S Han
European Conference on Computer Vision (ECCV), 2018
15702018
HAQ: Hardware-Aware Automated Quantization with Mixed Precision
K Wang*, Z Liu*, Y Lin*, J Lin, S Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019
9732019
Point-Voxel CNN for Efficient 3D Deep Learning
Z Liu*, H Tang*, Y Lin, S Han
Conference on Neural Information Processing Systems (NeurIPS), 2019
6342019
Differentiable Augmentation for Data-Efficient GAN Training
S Zhao, Z Liu, J Lin, JY Zhu, S Han
Conference on Neural Information Processing Systems (NeurIPS), 2020
5682020
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution
H Tang*, Z Liu*, S Zhao, Y Lin, J Lin, H Wang, S Han
European Conference on Computer Vision (ECCV), 2020
5382020
BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation
Z Liu*, H Tang*, A Amini, X Yang, H Mao, D Rus, S Han
IEEE International Conference on Robotics and Automation (ICRA), 2023
4322023
Lite Transformer with Long-Short Range Attention
Z Wu*, Z Liu*, J Lin, Y Lin, S Han
International Conference on Learning Representations (ICLR), 2020
2792020
HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
H Wang, Z Wu, Z Liu, H Cai, L Zhu, C Gan, S Han
Annual Conference of the Association for Computational Linguistics (ACL), 2020
2622020
GAN Compression: Efficient Architectures for Interactive Conditional GANs
M Li, J Lin, Y Ding, Z Liu, JY Zhu, S Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
2252020
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
T Wang, K Wang, H Cai, J Lin, Z Liu, H Wang, Y Lin, S Han
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020
1912020
Unsupervised Discovery of Parts, Structure, and Dynamics
Z Xu*, Z Liu*, C Sun, K Murphy, WT Freeman, JB Tenenbaum, J Wu
International Conference on Learning Representations (ICLR), 2019
91*2019
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
H Cai*, J Lin*, Y Lin*, Z Liu*, H Tang*, H Wang*, L Zhu*, S Han
ACM Transactions on Design Automation of Electronic Systems (TODAES), 2022
712022
TorchSparse: Efficient Point Cloud Inference Engine
H Tang*, Z Liu*, X Li*, Y Lin, S Han
Conference on Machine Learning and Systems (MLSys), 2022
682022
LongLoRA: Efficient Fine-Tuning of Long-Context Large Language Models
Y Chen, S Qian, H Tang, X Lai, Z Liu, S Han, J Jia
International Conference on Learning Representations (ICLR), 2024
672024
VISTA 2.0: An Open, Data-Driven Simulator for Multimodal Sensing and Policy Learning for Autonomous Vehicles
A Amini*, TH Wang*, I Gilitschenski, W Schwarting, Z Liu, S Han, ...
IEEE International Conference on Robotics and Automation (ICRA), 2022
582022
AutoML for Architecting Efficient and Specialized Neural Networks
H Cai*, J Lin*, Y Lin*, Z Liu*, K Wang*, T Wang*, L Zhu*, S Han
IEEE Micro, 2019
50*2019
Learning to Exploit Stability for 3D Scene Parsing
Y Du, Z Liu, H Basevi, A Leonardis, WT Freeman, JB Tenenbaum, J Wu
Conference on Neural Information Processing Systems (NeurIPS), 2018
432018
Efficient and Robust LiDAR-Based End-to-End Navigation
Z Liu*, A Amini*, S Zhu, S Karaman, S Han, D Rus
International Conference on Robotics and Automation (ICRA), 2021
392021
PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution
Z Liu*, H Tang*, S Zhao, K Shao, S Han
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021
322021
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