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2020 – today
- 2024
[j8]Jian Zhang
, Jing Pu, Ting an, Pengxin Wu, Hong Zhou, Qi Niu, Chengsong Li, Lihong Wang:
Monitoring of impurities in green peppers based on convolutional neural networks. Signal Image Video Process. 18(1): 63-69 (2024)- 2023
- [j7]Xinxin Nie, Jing Pu:
Mixed Attention Mechanism Generative Adversarial Network Painting Image Conversion Algorithm Based on Multi-Class Scenes. IEEE Access 11: 123242-123252 (2023) - [j6]Jing Pu, Xinxin Nie:
Convolutional Channel Attentional Facial Expression Recognition Network and Its Application in Human-Computer Interaction. IEEE Access 11: 129412-129424 (2023) - [i7]Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally:
Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network. CoRR abs/2306.09552 (2023) - 2022
- [j5]Jian Zhao, Dan Li, Jing Pu, Yue Meng, Asma Sbeih, Abdulsattar Abdullah Hamad:
Human-computer interaction for augmentative communication using a visual feedback system. Comput. Electr. Eng. 100: 107874 (2022) - [j4]Yujie Miao, Shiping Zhu, Hua Huang, Junxian Li, Xiao Wei, Lingkai Ma, Jing Pu:
Wood species recognition from wood images with an improved CNN. J. Intell. Fuzzy Syst. 42(6): 5031-5040 (2022) - [j3]Jing Pu, Kaishan Song, Yunfeng Lv, Ge Liu, Chong Fang, Junbin Hou, Zhidan Wen:
Distinguishing Algal Blooms from Aquatic Vegetation in Chinese Lakes Using Sentinel 2 Image. Remote. Sens. 14(9): 1988 (2022) - 2020
- [c12]Xuan Yang, Mingyu Gao, Qiaoyi Liu, Jeff Setter, Jing Pu, Ankita Nayak, Steven Bell, Kaidi Cao, Heonjae Ha, Priyanka Raina, Christos Kozyrakis, Mark Horowitz:
Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators. ASPLOS 2020: 369-383 - [c11]Yue Meng, Jing Pu, Wenkuan Chen:
Design and Implementation of Self-service Tourism Management Information System Based on B/S Architecture. SPIoT (2) 2020: 74-81 - [c10]Jing Pu:
Application and Outlook of Digital Media Technology in Smart Tourism. SPIoT (2) 2020: 90-96 - [c9]Yue Meng, Jing Pu, Wenkuan Chen:
Design and Implementation of Tourism Information Management System Based on .NET. SPIoT (2) 2020: 277-284
2010 – 2019
- 2019
- [c8]Mingyu Gao, Xuan Yang, Jing Pu, Mark Horowitz, Christos Kozyrakis:
TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators. ASPLOS 2019: 807-820 - [c7]Jing Pu, Xinxin Nie:
A Study of the 3D Animation Technology Based on the Internet. CSIA 2019: 325-331 - 2018
- [b1]Steven Bell, Jing Pu, James Hegarty, Mark Horowitz:
Compiling Algorithms for Heterogeneous Systems. Synthesis Lectures on Computer Architecture, Morgan & Claypool Publishers 2018, ISBN 978-3-031-00055-3 - [j2]Zheng "Jason" Song, Jing Pu, Junjie Cheng, Eli Tilevich:
Performance and programming effort trade-offs of android persistence frameworks. J. Syst. Softw. 146: 99-111 (2018) - [i6]Zheng "Jason" Song, Jing Pu, Junjie Cheng, Eli Tilevich:
Performance and Programming Effort Trade-offs of Android Persistence Frameworks. CoRR abs/1806.10716 (2018) - [i5]Xuan Yang, Mingyu Gao, Jing Pu, Ankita Nayak, Qiaoyi Liu, Steven Bell, Jeff Setter, Kaidi Cao, Heonjae Ha, Christos Kozyrakis, Mark Horowitz:
DNN Dataflow Choice Is Overrated. CoRR abs/1809.04070 (2018) - 2017
- [j1]Jing Pu, Steven Bell, Xuan Yang, Jeff Setter, Stephen Richardson, Jonathan Ragan-Kelley, Mark Horowitz:
Programming Heterogeneous Systems from an Image Processing DSL. ACM Trans. Archit. Code Optim. 14(3): 26:1-26:25 (2017) - [c6]Mingyu Gao, Jing Pu, Xuan Yang, Mark Horowitz, Christos Kozyrakis:
TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory. ASPLOS 2017: 751-764 - 2016
- [c5]Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark Horowitz, Bill Dally:
Deep compression and EIE: Efficient inference engine on compressed deep neural network. Hot Chips Symposium 2016: 1-6 - [c4]Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally:
EIE: Efficient Inference Engine on Compressed Deep Neural Network. ISCA 2016: 243-254 - [c3]Jing Pu, Zheng "Jason" Song, Eli Tilevich:
Understanding the Energy, Performance, and Programming Effort Trade-Offs of Android Persistence Frameworks. MASCOTS 2016: 433-438 - [c2]Suyao Ji, Jing Pu, ByongChan Lim, Mark Horowitz:
A 220pJ/pixel/frame CMOS image sensor with partial settling readout architecture. VLSI Circuits 2016: 1-2 - [i4]Song Han, Xingyu Liu, Huizi Mao, Jing Pu, Ardavan Pedram, Mark A. Horowitz, William J. Dally:
EIE: Efficient Inference Engine on Compressed Deep Neural Network. CoRR abs/1602.01528 (2016) - [i3]Xuan Yang, Jing Pu, Blaine Burton Rister, Nikhil Bhagdikar, Stephen Richardson, Shahar Kvatinsky, Jonathan Ragan-Kelley, Ardavan Pedram, Mark Horowitz:
A Systematic Approach to Blocking Convolutional Neural Networks. CoRR abs/1606.04209 (2016) - [i2]Jing Pu, Sameh Galal, Xuan Yang, Ofer Shacham, Mark Horowitz:
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. CoRR abs/1606.07852 (2016) - [i1]Jing Pu, Steven Bell, Xuan Yang, Jeff Setter, Stephen Richardson, Jonathan Ragan-Kelley, Mark Horowitz:
Programming Heterogeneous Systems from an Image Processing DSL. CoRR abs/1610.09405 (2016) - 2013
- [c1]Sameh Galal, Ofer Shacham, John S. Brunhaver, Jing Pu, Artem Vassiliev, Mark Horowitz:
FPU Generator for Design Space Exploration. IEEE Symposium on Computer Arithmetic 2013: 25-34
Coauthor Index
aka: Mark A. Horowitz
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