Youjie Li

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 19

Top Topics

Vector Quantization

Pattern Recognition

Intracranial Aneurysms

Top Venues

Proc. VLDB Endow.

Publications

Shunyu Zhao, Yelin Wang, Gen Deng, Ping Yang, Zhi Chen, Youjie Li
An intelligently adjusted carbon price forecasting approach based on breakpoints segmentation, feature selection and adaptive machine learning. Appl. Soft Comput. 149 (Part A) (2024)
Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. CoRR (2022)
Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. MLSys (2022)
Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim
Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers. Proc. VLDB Endow. 15 (11) (2022)
Youjie Li, Amar Phanishayee, Derek Murray, Jakub Tarnawski, Nam Sung Kim
Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers. CoRR (2022)
Cheng Wan, Youjie Li, Cameron R. Wolfe, Anastasios Kyrillidis, Nam Sung Kim, Yingyan Lin
PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. ICLR (2022)
Cheng Wan, Youjie Li, Ang Li, Nam Sung Kim, Yingyan Lin
BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. CoRR (2022)
Youjie Li, Amar Phanishayee, Derek Murray, Nam Sung Kim
Doing more with less: training large DNN models on commodity servers for the masses. HotOS (2021)
Sagar Jha, Youjie Li, Shadi Noghabi, Vaishnavi Ranganathan, Peeyush Kumar, Andrew Nelson, Michael Toelle, Sudipta N. Sinha, Ranveer Chandra, Anirudh Badam
Visage: enabling timely analytics for drone imagery. MobiCom (2021)
Weiping Wang, Simei Niu, Xiangfu Meng, Youjie Li
Study on Sensitivity and Accuracy of Diagnosis of Intracranial Aneurysms Based on 256-Slice Spiral CT Angiography. J. Medical Imaging Health Informatics 10 (4) (2020)
Youjie Li, Iou-Jen Liu, Yifan Yuan, Deming Chen, Alexander G. Schwing, Jian Huang
Accelerating distributed reinforcement learning with in-switch computing. ISCA (2019)
Vikram Sharma Mailthody, Zaid Qureshi, Weixin Liang, Ziyan Feng, Simon Garcia De Gonzalo, Youjie Li, Hubertus Franke, Jinjun Xiong, Jian Huang, Wen-Mei Hwu
DeepStore: In-Storage Acceleration for Intelligent Queries. MICRO (2019)
Youjie Li, Jongse Park, Mohammad Alian, Yifan Yuan, Zheng Qu, Peitian Pan, Ren Wang, Alexander G. Schwing, Hadi Esmaeilzadeh, Nam Sung Kim
A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks. MICRO (2018)
Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. NeurIPS (2018)
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. NeurIPS (2018)
Mingchao Yu, Zhifeng Lin, Krishna Narra, Songze Li, Youjie Li, Nam Sung Kim, Alexander G. Schwing, Murali Annavaram, Salman Avestimehr
GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. CoRR (2018)
Youjie Li, Mingchao Yu, Songze Li, Salman Avestimehr, Nam Sung Kim, Alexander G. Schwing
Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. CoRR (2018)
Qian Wang, Youjie Li, Botang Shao, Siddhartha Dey, Peng Li
Energy efficient parallel neuromorphic architectures with approximate arithmetic on FPGA. Neurocomputing 221 (2017)
Qian Wang, Youjie Li, Peng Li
Liquid state machine based pattern recognition on FPGA with firing-activity dependent power gating and approximate computing. ISCAS (2016)
Peiqing Luo, Zhibin Zhou, Youjie Li, Shuquan Lin, Xiaoming Dou, Rongqiang Cui
Effects of deposition pressure on the microstructural and optoelectrical properties of B-doped hydrogenated nanocrystalline silicon (nc-Si: H) thin films grown by hot-wire chemical vapor deposition. Microelectron. J. 39 (1) (2008)