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Yujun Lin 0001
Person information
- affiliation: Massachusetts Institute of Technology, Cambridge, USA
- affiliation (former): Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with the same name
- Yujun Lin (aka: Yu-Yun Lin) — disambiguation page
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2020 – today
- 2024
- [i15]Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han:
QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving. CoRR abs/2405.04532 (2024) - [i14]Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han:
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers. CoRR abs/2410.10629 (2024) - 2023
- [j6]Zhijian Liu
, Haotian Tang
Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning. World Sci. Annu. Rev. Artif. Intell. 1: 2340003:1-2340003:56 (2023) - 2022
- [j5]Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han:
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. ACM Trans. Design Autom. Electr. Syst. 27(3): 20:1-20:50 (2022) - [c16]Hanrui Wang, Yongshan Ding
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. HPCA 2022: 692-708 - [c15]Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han:
TorchSparse: Efficient Point Cloud Inference Engine. MLSys 2022 - [i13]Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han:
TorchSparse: Efficient Point Cloud Inference Engine. CoRR abs/2204.10319 (2022) - [i12]Han Cai, Ji Lin, Yujun Lin, Zhijian Liu, Haotian Tang, Hanrui Wang, Ligeng Zhu, Song Han:
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications. CoRR abs/2204.11786 (2022) - 2021
- [c14]Yujun Lin, Mengtian Yang, Song Han:
NAAS: Neural Accelerator Architecture Search. DAC 2021: 1051-1056 - [c13]Yujun Lin
PointAcc: Efficient Point Cloud Accelerator. MICRO 2021: 449-461 - [c12]Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han:
Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning. NeurIPS 2021: 29995-30007 - [i11]Yujun Lin, Mengtian Yang, Song Han:
NAAS: Neural Accelerator Architecture Search. CoRR abs/2105.13258 (2021) - [i10]Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han:
QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits. CoRR abs/2107.10845 (2021) - [i9]Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han:
PointAcc: Efficient Point Cloud Accelerator. CoRR abs/2110.07600 (2021) - 2020
- [j4]Kuan Wang, Zhijian Liu, Yujun Lin
Hardware-Centric AutoML for Mixed-Precision Quantization. Int. J. Comput. Vis. 128(8): 2035-2048 (2020) - [j3]Han Cai, Ji Lin, Yujun Lin
AutoML for Architecting Efficient and Specialized Neural Networks. IEEE Micro 40(1): 75-82 (2020) - [j2]Yi Cai
Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39(12): 4707-4720 (2020) - [c11]Tianzhe Wang, Kuan Wang, Han Cai, Ji Lin, Zhijian Liu, Hanrui Wang, Yujun Lin
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy. CVPR 2020: 2075-2084 - [c10]Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. ECCV (28) 2020: 685-702 - [c9]Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han:
Lite Transformer with Long-Short Range Attention. ICLR 2020 - [c8]Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han:
MCUNet: Tiny Deep Learning on IoT Devices. NeurIPS 2020 - [i8]Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin
Lite Transformer with Long-Short Range Attention. CoRR abs/2004.11886 (2020) - [i7]Ji Lin, Wei-Ming Chen, Yujun Lin
MCUNet: Tiny Deep Learning on IoT Devices. CoRR abs/2007.10319 (2020) - [i6]Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han:
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution. CoRR abs/2007.16100 (2020) - [i5]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
Hardware-Centric AutoML for Mixed-Precision Quantization. CoRR abs/2008.04878 (2020)
2010 – 2019
- 2019
- [c7]Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han:
HAQ: Hardware-Aware Automated Quantization With Mixed Precision. CVPR 2019: 8612-8620 - [c6]Zhenhua Zhu, Hanbo Sun, Yujun Lin
A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM. DAC 2019: 56 - [c5]Shulin Zeng, Yujun Lin
A Fine-Grained Sparse Accelerator for Multi-Precision DNN. FPGA 2019: 185 - [c4]Zhijian Liu, Haotian Tang, Yujun Lin, Song Han:
Point-Voxel CNN for Efficient 3D Deep Learning. NeurIPS 2019: 963-973 - [i4]Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin:
Design Automation for Efficient Deep Learning Computing. CoRR abs/1904.10616 (2019) - [i3]Zhijian Liu, Haotian Tang, Yujun Lin
Point-Voxel CNN for Efficient 3D Deep Learning. CoRR abs/1907.03739 (2019) - 2018
- [c3]Yi Cai, Yujun Lin
Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification. DAC 2018: 107:1-107:6 - [c2]Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally:
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. ICLR (Poster) 2018 - [i2]Kuan Wang, Zhijian Liu, Yujun Lin
HAQ: Hardware-Aware Automated Quantization. CoRR abs/1811.08886 (2018) - 2017
- [c1]Jiaxin Huang, Fengli Xu, Yujun Lin
On the Understanding of Interdependency of Mobile App Usage. MASS 2017: 471-475 - [i1]Yujun Lin
Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training. CoRR abs/1712.01887 (2017) - 2016
- [j1]Fengli Xu, Yuyun Lin
Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach. IEEE Trans. Serv. Comput. 9(5): 796-805 (2016)
Coauthor Index
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