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Zhongnan Qu

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Efficient Large Language Models: A Survey

Dec 23, 2023
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

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Enabling Deep Learning on Edge Devices

Oct 06, 2022
Zhongnan Qu

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DRESS: Dynamic REal-time Sparse Subnets

Jul 01, 2022
Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Ekin Sumbul, Barbara De Salvo

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p-Meta: Towards On-device Deep Model Adaptation

Jun 25, 2022
Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele

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SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems

Apr 10, 2022
Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li

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Measuring what Really Matters: Optimizing Neural Networks for TinyML

Apr 21, 2021
Lennart Heim, Andreas Biri, Zhongnan Qu, Lothar Thiele

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RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor

Oct 23, 2020
Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois Knoll

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Deep Partial Updating

Jul 06, 2020
Zhongnan Qu, Cong Liu, Junfeng Guo, Lothar Thiele

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Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset

May 01, 2020
Bin Li, Hu Cao, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang

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