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Zhongnan Qu
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2020 – today
- 2024
- [j4]Hu Cao
, Zhongnan Qu
, Guang Chen
, Xinyi Li
, Lothar Thiele
, Alois Knoll
:
GhostViT: Expediting Vision Transformers via Cheap Operations. IEEE Trans. Artif. Intell. 5(6): 2517-2525 (2024) - [j3]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. Trans. Mach. Learn. Res. 2024 (2024) - 2023
- [i11]Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang:
Efficient Large Language Models: A Survey. CoRR abs/2312.03863 (2023) - 2022
- [b1]Zhongnan Qu
:
Enabling Deep Learning on Edge Devices. ETH Zurich, Zürich, Switzerland, 2022 - [c7]Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li:
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. CVPR 2022: 12549-12559 - [c6]Zhongnan Qu
, Cong Liu, Lothar Thiele:
Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference. ECCV (11) 2022: 137-153 - [c5]Zhongnan Qu
, Zimu Zhou, Yongxin Tong
, Lothar Thiele:
p-Meta: Towards On-device Deep Model Adaptation. KDD 2022: 1441-1451 - [i10]Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li:
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. CoRR abs/2204.04705 (2022) - [i9]Zhongnan Qu, Zimu Zhou, Yongxin Tong
, Lothar Thiele:
p-Meta: Towards On-device Deep Model Adaptation. CoRR abs/2206.12705 (2022) - [i8]Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Huseyin Ekin Sumbul, Barbara De Salvo:
DRESS: Dynamic REal-time Sparse Subnets. CoRR abs/2207.00670 (2022) - [i7]Zhongnan Qu:
Enabling Deep Learning on Edge Devices. CoRR abs/2210.03204 (2022) - 2021
- [i6]Lennart Heim
, Andreas Biri
, Zhongnan Qu, Lothar Thiele:
Measuring what Really Matters: Optimizing Neural Networks for TinyML. CoRR abs/2104.10645 (2021) - 2020
- [j2]Bin Li, Hu Cao
, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang:
Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset. Frontiers Neurorobotics 14: 51 (2020) - [c4]Zhongnan Qu
, Zimu Zhou, Yun Cheng, Lothar Thiele:
Adaptive Loss-Aware Quantization for Multi-Bit Networks. CVPR 2020: 7985-7994 - [c3]Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois C. Knoll:
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor. NeurIPS 2020 - [i5]Bin Li, Hu Cao
, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang:
Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset. CoRR abs/2004.13652 (2020) - [i4]Zhongnan Qu, Cong Liu, Junfeng Guo, Lothar Thiele:
Deep Partial Updating. CoRR abs/2007.03071 (2020) - [i3]Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois C. Knoll:
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor. CoRR abs/2010.12394 (2020)
2010 – 2019
- 2019
- [j1]Guang Chen, Hu Cao
, Canbo Ye, Zhenyan Zhang, Xingbo Liu, Xuhui Mo, Zhongnan Qu, Jörg Conradt, Florian Röhrbein
, Alois C. Knoll
:
Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors. Frontiers Neurorobotics 13: 10 (2019) - [i2]Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele:
Adaptive Loss-aware Quantization for Multi-bit Networks. CoRR abs/1912.08883 (2019) - 2018
- [i1]Guang Chen, Shu Liu, Gereon Hinz, Zhongnan Qu, Alois C. Knoll:
Deep Anticipation: Light Weight Intelligent Mobile Sensing in IoT by Recurrent Architecture. CoRR abs/1801.01444 (2018) - 2017
- [c2]Zhongnan Qu:
Adaptive robust moving hands recognition under complex lighting condition. ICAR 2017: 560-565 - [c1]Gereon Hinz, Guang Chen, Muhammad Aafaque, Florian Röhrbein
, Jörg Conradt, Zhenshan Bing, Zhongnan Qu, Walter Stechele, Alois C. Knoll
:
Online Multi-object Tracking-by-Clustering for Intelligent Transportation System with Neuromorphic Vision Sensor. KI 2017: 142-154
Coauthor Index

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last updated on 2024-10-07 21:14 CEST by the dblp team
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