Yujun Lin

According to our database, Yujun Lin authored at least 35 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Radial Attention: O(n log n) Sparse Attention with Energy Decay for Long Video Generation.

Xingyang Li, Muyang Li, Tianle Cai, Haocheng Xi, Shuo Yang, Yujun Lin, Lvmin Zhang, Songlin Yang, Jinbo Hu, Kelly Peng, Maneesh Agrawala, Ion Stoica, Kurt Keutzer, Song Han

CoRR, June, 2025

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation.

Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Chenfeng Xu, Kelly Peng, Jianfei Chen, Song Han, Kurt Keutzer, Ion Stoica

CoRR, May, 2025

LServe: Efficient Long-sequence LLM Serving with Unified Sparse Attention.

Shang Yang, Junxian Guo, Haotian Tang, Qinghao Hu, Guangxuan Xiao, Jiaming Tang, Yujun Lin, Zhijian Liu, Yao Lu, Song Han

CoRR, February, 2025

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han

CoRR, February, 2025

SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion Transformer.

Enze Xie, Junsong Chen, Yuyang Zhao, Jincheng Yu, Ligeng Zhu, Yujun Lin, Zhekai Zhang, Muyang Li, Junyu Chen, Han Cai, Bingchen Liu, Daquan Zhou, Song Han

CoRR, January, 2025

SANA: Efficient High-Resolution Text-to-Image Synthesis with Linear Diffusion Transformers.

Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SVDQuant: Absorbing Outliers by Low-Rank Component for 4-Bit Diffusion Models.

Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

LEGO: Spatial Accelerator Generation and Optimization for Tensor Applications.

Yujun Lin, Zhekai Zhang, Song Han

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

2024

Algorithm-System-Hardware Co-Design for Efficient 3D Deep Learning.

Zhijian Liu, Haotian Tang, Yujun Lin, Song Han

World Sci. Annu. Rev. Artif. Intell., 2024

SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models.

Muyang Li, Yujun Lin, Zhekai Zhang, Tianle Cai, Xiuyu Li, Junxian Guo, Enze Xie, Chenlin Meng, Jun-Yan Zhu, Song Han

CoRR, 2024

SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformers.

Enze Xie, Junsong Chen, Junyu Chen, Han Cai, Haotian Tang, Yujun Lin, Zhekai Zhang, Muyang Li, Ligeng Zhu, Yao Lu, Song Han

CoRR, 2024

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving.

Yujun Lin, Haotian Tang, Shang Yang, Zhekai Zhang, Guangxuan Xiao, Chuang Gan, Song Han

CoRR, 2024

2022

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

ACM Trans. Design Autom. Electr. Syst., 2022

TorchSparse: Efficient Point Cloud Inference Engine.

Haotian Tang, Zhijian Liu, Xiuyu Li, Yujun Lin, Song Han

Proceedings of the Fifth Conference on Machine Learning and Systems, 2022

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits.

Hanrui Wang, Yongshan Ding, Jiaqi Gu, Yujun Lin, David Z. Pan, Frederic T. Chong, Song Han

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021

Delayed Gradient Averaging: Tolerate the Communication Latency for Federated Learning.

Ligeng Zhu, Hongzhou Lin, Yao Lu, Yujun Lin, Song Han

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

PointAcc: Efficient Point Cloud Accelerator.

Yujun Lin, Zhekai Zhang, Haotian Tang, Hanrui Wang, Song Han

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

NAAS: Neural Accelerator Architecture Search.

Yujun Lin, Mengtian Yang, Song Han

Proceedings of the 58th ACM/IEEE Design Automation Conference, 2021

2020

Long Live TIME: Improving Lifetime and Security for NVM-Based Training-in-Memory Systems.

Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 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

Hardware-Centric AutoML for Mixed-Precision Quantization.

Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han

Int. J. Comput. Vis., 2020

MCUNet: Tiny Deep Learning on IoT Devices.

Ji Lin, Wei-Ming Chen, Yujun Lin, John Cohn, Chuang Gan, Song Han

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Lite Transformer with Long-Short Range Attention.

Zhanghao Wu, Zhijian Liu, Ji Lin, Yujun Lin, Song Han

Proceedings of the 8th International Conference on Learning Representations, 2020

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution.

Haotian Tang, Zhijian Liu, Shengyu Zhao, Yujun Lin, Ji Lin, Hanrui Wang, Song Han

Proceedings of the Computer Vision - ECCV 2020, 2020

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

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Design Automation for Efficient Deep Learning Computing.

Song Han, Han Cai, Ligeng Zhu, Ji Lin, Kuan Wang, Zhijian Liu, Yujun Lin

CoRR, 2019

Point-Voxel CNN for Efficient 3D Deep Learning.

Zhijian Liu, Haotian Tang, Yujun Lin, Song Han

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Fine-Grained Sparse Accelerator for Multi-Precision DNN.

Shulin Zeng, Yujun Lin, Shuang Liang, Junlong Kang, Dongliang Xie, Yi Shan, Song Han, Yu Wang, Huazhong Yang

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

A Configurable Multi-Precision CNN Computing Framework Based on Single Bit RRAM.

Zhenhua Zhu, Hanbo Sun, Yujun Lin, Guohao Dai, Lixue Xia, Song Han, Yu Wang, Huazhong Yang

Proceedings of the 56th Annual Design Automation Conference 2019, 2019

HAQ: Hardware-Aware Automated Quantization With Mixed Precision.

Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

HAQ: Hardware-Aware Automated Quantization.

Kuan Wang, Zhijian Liu, Yujun Lin, Ji Lin, Song Han

CoRR, 2018

Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training.

Yujun Lin, Song Han, Huizi Mao, Yu Wang, Bill Dally

Proceedings of the 6th International Conference on Learning Representations, 2018

Long live TIME: improving lifetime for training-in-memory engines by structured gradient sparsification.

Yi Cai, Yujun Lin, Lixue Xia, Xiaoming Chen, Song Han, Yu Wang, Huazhong Yang

Proceedings of the 55th Annual Design Automation Conference, 2018

2017

On the Understanding of Interdependency of Mobile App Usage.

Jiaxin Huang, Fengli Xu, Yujun Lin, Yong Li

Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017

2016

Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach.

Fengli Xu, Yuyun Lin, Jiaxin Huang, Di Wu, Hongzhi Shi, Jeungeun Song, Yong Li

IEEE Trans. Serv. Comput., 2016