Extracting PICO Elements From RCT Abstracts Using 1-2gram Analysis And Multitask Classification. - Yuan Xia; Xiaoli Liao; Shilei Li; Qinwen Shi; Ke Li (ICMHI, 2019)

Extracting PICO elements from RCT abstracts using 1-2gram analysis and multitask classification. - Yuan Xia; Xiaoli Liao; Shilei Li; Qinwen Shi; Jinfa Wu; Ke Li (CoRR, 2019)

Towards Efficient Elastic Parallelism for Deep Learning Processor. - Jinyu Cheng; Ruyi Qian; Qinwen Shi; Gaomei Hu; Mengjuan Gao; Qirun Huo; Yuanchao Xu 002 (ISPA/BDCloud/SocialCom/SustainCom, 2022)

An Empirical Study of Memory Pool Based Allocation and Reuse in CUDA Graph. - Ruyi Qian; Mengjuan Gao; Qinwen Shi; Yuanchao Xu 002 (ICA3PP (5), 2023)

EagerReuse: An Efficient Memory Reuse Approach for Complex Computational Graph. - Ruyi Qian; Bojun Cao; Mengjuan Gao; Qinwen Shi; Yida Wang; Yuanchao Xu 002; Qirun Huo; Keni Qiu (ICPADS, 2023)

Leaf: Learning-based Stream-level Fair Scheduling for Deep Learning Accelerators. - Yida Wang; Bojun Cao; Mengjuan Gao; Qinwen Shi; Yuanchao Xu 002 (ICPADS, 2024)

vLFS: Learning-based Scheduling for AI Chip Virtualization. - Mengjuan Gao; Yida Wang; Qinwen Shi; Bojun Cao; Yuanchao Xu 002 (ISPA, 2024)