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. - Peiqing Luo; Zhibin Zhou; Youjie Li; Shuquan Lin; Xiaoming Dou; Rongqiang Cui (Microelectron. J., 2008)

Liquid state machine based pattern recognition on FPGA with firing-activity dependent power gating and approximate computing. - Qian Wang 003; Youjie Li; Peng Li 001 (ISCAS, 2016)

Energy efficient parallel neuromorphic architectures with approximate arithmetic on FPGA. - Qian Wang 003; Youjie Li; Botang Shao; Siddhartha Dey; Peng Li 001 (Neurocomputing, 2017)

A Network-Centric Hardware/Algorithm Co-Design to Accelerate Distributed Training of Deep Neural Networks. - Youjie Li; Jongse Park; Mohammad Alian; Yifan Yuan; Zheng Qu 002; Peitian Pan; Ren Wang 001; Alexander G. Schwing; Hadi Esmaeilzadeh; Nam Sung Kim (MICRO, 2018)

Pipe-SGD: A Decentralized Pipelined SGD Framework for Distributed Deep Net Training. - Youjie Li; Mingchao Yu; Songze Li; Salman Avestimehr; Nam Sung Kim; Alexander G. Schwing (NeurIPS, 2018)

GradiVeQ: Vector Quantization for Bandwidth-Efficient Gradient Aggregation in Distributed CNN Training. - Mingchao Yu; Zhifeng Lin; Krishna Narra; Songze Li; Youjie Li; Nam Sung Kim; Alexander G. Schwing; Murali Annavaram; Salman Avestimehr (NeurIPS, 2018)

Accelerating distributed reinforcement learning with in-switch computing. - Youjie Li; Iou-Jen Liu; Yifan Yuan; Deming Chen; Alexander G. Schwing; Jian Huang 006 (ISCA, 2019)

DeepStore: In-Storage Acceleration for Intelligent Queries. - Vikram Sharma Mailthody; Zaid Qureshi; Weixin Liang; Ziyan Feng; Simon Garcia De Gonzalo; Youjie Li; Hubertus Franke; Jinjun Xiong; Jian Huang 006; Wen-Mei Hwu (MICRO, 2019)

Study on Sensitivity and Accuracy of Diagnosis of Intracranial Aneurysms Based on 256-Slice Spiral CT Angiography. - Weiping Wang; Simei Niu; Xiangfu Meng; Youjie Li (J. Medical Imaging Health Informatics, 2020)

Doing more with less: training large DNN models on commodity servers for the masses. - Youjie Li; Amar Phanishayee; Derek Murray; Nam Sung Kim (HotOS, 2021)

Visage: enabling timely analytics for drone imagery. - Sagar Jha; Youjie Li; Shadi A. Noghabi; Vaishnavi Nattar Ranganathan; Peeyush Kumar; Andrew Nelson; Michael Toelle; Sudipta N. Sinha; Ranveer Chandra; Anirudh Badam (MobiCom, 2021)

PipeGCN: Efficient Full-Graph Training of Graph Convolutional Networks with Pipelined Feature Communication. - Cheng Wan 005; Youjie Li; Cameron R. Wolfe; Anastasios Kyrillidis; Nam Sung Kim; Yingyan Lin (ICLR, 2022)

BNS-GCN: Efficient Full-Graph Training of Graph Convolutional Networks with Partition-Parallelism and Random Boundary Node Sampling. - Cheng Wan 005; Youjie Li; Ang Li 006; Nam Sung Kim; Yingyan Lin (MLSys, 2022)

Harmony: Overcoming the hurdles of GPU memory capacity to train massive DNN models on commodity servers. - Youjie Li; Amar Phanishayee; Derek Murray; Jakub Tarnawski; Nam Sung Kim (Proc. VLDB Endow., 2022)

An intelligently adjusted carbon price forecasting approach based on breakpoints segmentation, feature selection and adaptive machine learning. - Shunyu Zhao; Yelin Wang; Gen Deng; Ping Yang; Zhi Chen; Youjie Li (Appl. Soft Comput., 2024)

An enhanced secondary decomposition model considering energy price for carbon price prediction. - Gen Deng; Shunyu Zhao; Xiaoyao Yu; Yelin Wang; Youjie Li (Appl. Soft Comput., 2025)

An adaptive multi-factor integrated forecasting model based on periodic reconstruction and random forest for carbon price. - Shunyu Zhao; Yelin Wang; Jianwei Deng; Zheng Li; Gen Deng; Zhi Chen; Youjie Li (Appl. Soft Comput., 2025)

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo. - Qianli Ma; Yaowei Zheng; Zhelun Shi; Zhongkai Zhao; Bin Jia; Ziyue Huang; Zhiqi Lin; Youjie Li; Jiacheng Yang; Yanghua Peng; Zhi Zhang; Xin Liu (CoRR, 2025)