Jing Pu

According to our database, Jing Pu authored at least 25 papers between 2013 and 2024.

Collaborative distances:

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

2024

Monitoring of impurities in green peppers based on convolutional neural networks.

Jian Zhang, Jing Pu, Ting an, Pengxin Wu, Hong Zhou, Qi Niu, Chengsong Li, Lihong Wang

Signal Image Video Process., February, 2024

2023

Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network.

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally

CoRR, 2023

Convolutional Channel Attentional Facial Expression Recognition Network and Its Application in Human-Computer Interaction.

Jing Pu, Xinxin Nie

IEEE Access, 2023

Mixed Attention Mechanism Generative Adversarial Network Painting Image Conversion Algorithm Based on Multi-Class Scenes.

Xinxin Nie, Jing Pu

IEEE Access, 2023

2022

Distinguishing Algal Blooms from Aquatic Vegetation in Chinese Lakes Using Sentinel 2 Image.

Jing Pu, Kaishan Song, Yunfeng Lv, Ge Liu, Chong Fang, Junbin Hou, Zhidan Wen

Remote. Sens., 2022

Wood species recognition from wood images with an improved CNN.

Yujie Miao, Shiping Zhu, Hua Huang, Junxian Li, Xiao Wei, Lingkai Ma, Jing Pu

J. Intell. Fuzzy Syst., 2022

Human-computer interaction for augmentative communication using a visual feedback system.

Jian Zhao, Dan Li, Jing Pu, Yue Meng, Asma Sbeih, Abdulsattar Abdullah Hamad

Comput. Electr. Eng., 2022

2020

Application and Outlook of Digital Media Technology in Smart Tourism.

Jing Pu

Proceedings of the 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020

Design and Implementation of Tourism Information Management System Based on .NET.

Yue Meng, Jing Pu, Wenkuan Chen

Proceedings of the 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020

Design and Implementation of Self-service Tourism Management Information System Based on B/S Architecture.

Yue Meng, Jing Pu, Wenkuan Chen

Proceedings of the 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy, 2020

Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators.

Xuan Yang, Mingyu Gao, Qiaoyi Liu, Jeff Setter, Jing Pu, Ankita Nayak, Steven Bell, Kaidi Cao, Heonjae Ha, Priyanka Raina, Christos Kozyrakis, Mark Horowitz

Proceedings of the ASPLOS '20: Architectural Support for Programming Languages and Operating Systems, 2020

2019

A Study of the 3D Animation Technology Based on the Internet.

Jing Pu, Xinxin Nie

Proceedings of the Cyber Security Intelligence and Analytics, 2019

TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators.

Mingyu Gao, Xuan Yang, Jing Pu, Mark Horowitz, Christos Kozyrakis

Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018

Compiling Algorithms for Heterogeneous Systems

Steven Bell, Jing Pu, James Hegarty, Mark Horowitz

Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers, ISBN: 978-3-031-01758-2, 2018

Performance and programming effort trade-offs of android persistence frameworks.

Zheng "Jason" Song, Jing Pu, Junjie Cheng, Eli Tilevich

J. Syst. Softw., 2018

DNN Dataflow Choice Is Overrated.

Xuan Yang, Mingyu Gao, Jing Pu, Ankita Nayak, Qiaoyi Liu, Steven Bell, Jeff Setter, Kaidi Cao, Heonjae Ha, Christos Kozyrakis, Mark Horowitz

CoRR, 2018

2017

Programming Heterogeneous Systems from an Image Processing DSL.

Jing Pu, Steven Bell, Xuan Yang, Jeff Setter, Stephen Richardson, Jonathan Ragan-Kelley, Mark Horowitz

ACM Trans. Archit. Code Optim., 2017

TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory.

Mingyu Gao, Jing Pu, Xuan Yang, Mark Horowitz, Christos Kozyrakis

Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017

2016

A Systematic Approach to Blocking Convolutional Neural Networks.

Xuan Yang, Jing Pu, Blaine Burton Rister, Nikhil Bhagdikar, Stephen Richardson, Shahar Kvatinsky, Jonathan Ragan-Kelley, Ardavan Pedram, Mark Horowitz

CoRR, 2016

FPMax: a 106GFLOPS/W at 217GFLOPS/mm2 Single-Precision FPU, and a 43.7GFLOPS/W at 74.6GFLOPS/mm2 Double-Precision FPU, in 28nm UTBB FDSOI.

Jing Pu, Sameh Galal, Xuan Yang, Ofer Shacham, Mark Horowitz

CoRR, 2016

A 220pJ/pixel/frame CMOS image sensor with partial settling readout architecture.

Suyao Ji, Jing Pu, ByongChan Lim, Mark Horowitz

Proceedings of the 2016 IEEE Symposium on VLSI Circuits, 2016

Understanding the Energy, Performance, and Programming Effort Trade-Offs of Android Persistence Frameworks.

Jing Pu, Zheng "Jason" Song, Eli Tilevich

Proceedings of the 24th IEEE International Symposium on Modeling, 2016

EIE: Efficient Inference Engine on Compressed Deep Neural Network.

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally

Proceedings of the 43rd ACM/IEEE Annual International Symposium on Computer Architecture, 2016

Deep compression and EIE: Efficient inference engine on compressed deep neural network.

Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, Bill Dally

Proceedings of the 2016 IEEE Hot Chips 28 Symposium (HCS), 2016

2013

FPU Generator for Design Space Exploration.

Sameh Galal, Ofer Shacham, John S. Brunhaver, Jing Pu, Artem Vassiliev, Mark Horowitz

Proceedings of the 21st IEEE Symposium on Computer Arithmetic, 2013