Full Publications

[PLDI'21] DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion

Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren

42nd ACM SIGPLAN Conference on Programming Language Design and Implementation, 2021 (conditionally accepted, acceptance rate: 87/320)

[CVPR'21] NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration

Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin

IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2021 (oral paper: top 5%, acceptance rate: 1593/7500)

[DAC'21] Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles

Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin

58th Annual Design Automation Conference, 2021 (To appear)

[ASP-DAC'21] Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications

Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, and Yanzhi Wang

Proceeding of Asia and South Pacific Design Automation Conference, 2021 PDF

[AAAI'21] Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices

Wei Niu*, Mengshu Sun*, Zhengang Li*, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren

Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021 (Acceptance Rate: 20.9%) PDF

[AAAI'21] YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang

Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021 (Acceptance Rate: 20.9%) PDF

[AAAI'21 Demo track] A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices

Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang

AAAI (Demonstration Paper), 2021

[CACM'21] CoCoPIE: Making Mobile AI Sweet as PIE - Compression-Compilation Co-Design Goes a Long Way

Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao (author in alphabet order)

Communications of the ACM, 2021 PDF

[NIPS'20 Workshop] YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang

NeurIPS 2020 Workshop on Machine Learning for Autonomous Driving, 2020

[ECCV'20] An Image Enhancing Pattern-based Sparsity for Real-Time Inference on Mobile Devices

Xiaolong Ma*, Wei Niu*, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, and Yanzhi Wang

Proceeding of European Conference on Computer Vision, 2020 PDF

[ECCV'20 Demo track] Real-time 3D CNN Inference for Action Recognition on Mobile Devices

Wei Niu, Mengshu Sun, Zhengang Li, Geng Yuan, Pu Zhao, Xue Lin, Yanzhi Wang, and Bin Ren

European Conference on Computer Vision (ECCV), 2020 PDF

[ECCV'20 Demo track] Real-time DNN Accelerations on Mobile Devices for Versatile Practical Deep Learning Applications

Zheng Zhan, Pu Zhao, Geng Yuan, Wei Niu, Bin Ren, Xue Lin, and Yanzhi Wang

European Conference on Computer Vision (ECCV), 2020 PDF

[GLSVLSI'20] A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework

Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang

Proceedings of the 2020 on Great Lakes Symposium on VLSI, 2020

Full Publications

2021

[PLDI'21] DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion

[CVPR'21] NPAS: A Compiler-aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration

[DAC'21] Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles

[ASP-DAC'21] Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications

[AAAI'21] Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices

[AAAI'21] YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

[AAAI'21 Demo track] A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices

[CACM'21] CoCoPIE: Making Mobile AI Sweet as PIE - Compression-Compilation Co-Design Goes a Long Way

2020

[NIPS'20 Workshop] YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

[ECCV'20] An Image Enhancing Pattern-based Sparsity for Real-Time Inference on Mobile Devices

[ECCV'20 Demo track] Real-time 3D CNN Inference for Action Recognition on Mobile Devices

[ECCV'20 Demo track] Real-time DNN Accelerations on Mobile Devices for Versatile Practical Deep Learning Applications

[GLSVLSI'20] A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework

[IJCAI'20 Demo track] Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization

[DAC'20] RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition

[AAAI'20] PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

[ASPLOS'20] PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning

2019

[ICML'19 Workshop] 26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone