FPU Generator for Design Space Exploration. - Sameh Galal; Ofer Shacham; John S. Brunhaver; Jing Pu; Artem Vassiliev; Mark Horowitz (IEEE Symposium on Computer Arithmetic, 2013)

Deep compression and EIE: Efficient inference engine on compressed deep neural network. - Song Han 003; Xingyu Liu 001; Huizi Mao; Jing Pu; Ardavan Pedram; Mark Horowitz; Bill Dally (Hot Chips Symposium, 2016)

EIE: Efficient Inference Engine on Compressed Deep Neural Network. - Song Han 003; Xingyu Liu 001; Huizi Mao; Jing Pu; Ardavan Pedram; Mark A. Horowitz; William J. Dally (ISCA, 2016)

Understanding the Energy, Performance, and Programming Effort Trade-Offs of Android Persistence Frameworks. - Jing Pu; Zheng "Jason" Song; Eli Tilevich (MASCOTS, 2016)

A 220pJ/pixel/frame CMOS image sensor with partial settling readout architecture. - Suyao Ji; Jing Pu; ByongChan Lim; Mark Horowitz (VLSI Circuits, 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 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)

TETRIS: Scalable and Efficient Neural Network Acceleration with 3D Memory. - Mingyu Gao 001; Jing Pu; Xuan Yang; Mark Horowitz; Christos Kozyrakis (ASPLOS, 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)

DNN Dataflow Choice Is Overrated. - Xuan Yang; Mingyu Gao 001; Jing Pu; Ankita Nayak; Qiaoyi Liu; Steven Bell; Jeff Setter; Kaidi Cao; Heonjae Ha; Christos Kozyrakis; Mark Horowitz (CoRR, 2018)

Performance and programming effort trade-offs of android persistence frameworks. - Zheng "Jason" Song; Jing Pu; Junjie Cheng; Eli Tilevich (J. Syst. Softw., 2018)

Compiling Algorithms for Heterogeneous Systems - Steven Bell; Jing Pu; James Hegarty; Mark Horowitz (Morgan & Claypool Publishers, 2018)

TANGRAM: Optimized Coarse-Grained Dataflow for Scalable NN Accelerators. - Mingyu Gao 001; Xuan Yang; Jing Pu; Mark Horowitz; Christos Kozyrakis (ASPLOS, 2019)

A Study of the 3D Animation Technology Based on the Internet. - Jing Pu; Xinxin Nie (CSIA, 2019)

Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators. - Xuan Yang; Mingyu Gao 001; Qiaoyi Liu; Jeff Setter; Jing Pu; Ankita Nayak; Steven Bell; Kaidi Cao; Heonjae Ha; Priyanka Raina; Christos Kozyrakis; Mark Horowitz (ASPLOS, 2020)

Design and Implementation of Self-service Tourism Management Information System Based on B/S Architecture. - Yue Meng; Jing Pu; Wenkuan Chen (SPIoT (2), 2020)

Design and Implementation of Tourism Information Management System Based on .NET. - Yue Meng; Jing Pu; Wenkuan Chen (SPIoT (2), 2020)

Application and Outlook of Digital Media Technology in Smart Tourism. - Jing Pu (SPIoT (2), 2020)

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)

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)

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)

Mixed Attention Mechanism Generative Adversarial Network Painting Image Conversion Algorithm Based on Multi-Class Scenes. - Xinxin Nie; Jing Pu (IEEE Access, 2023)

Convolutional Channel Attentional Facial Expression Recognition Network and Its Application in Human-Computer Interaction. - Jing Pu; Xinxin Nie (IEEE Access, 2023)

Retrospective: EIE: Efficient Inference Engine on Sparse and Compressed Neural Network. - Song Han 003; Xingyu Liu 001; Huizi Mao; Jing Pu; Ardavan Pedram; Mark A. Horowitz; William J. Dally (CoRR, 2023)

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., 2024)

Tourism Promotion Mechanism Based on Virtual Reality Technology for Real-life Interactive Experience. - Xinxin Nie; Jing Pu (Informatica (Slovenia), 2025)