Zhongnan Qu

23 papers A* 4Misc 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2024 J jnl
Efficient Large Language Models: A Survey.
Trans. Mach. Learn. Res.
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
2024 J jnl
GhostViT: Expediting Vision Transformers via Cheap Operations.
IEEE Trans. Artif. Intell.
Hu Cao, Zhongnan Qu, Guang Chen, Xinyi Li, Lothar Thiele, Alois Knoll
2023 J jnl
Efficient Large Language Models: A Survey.
CoRR
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
2022 J jnl
DRESS: Dynamic REal-time Sparse Subnets.
CoRR
Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Huseyin Ekin Sumbul, Barbara De Salvo
2022 — conf
Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference.
ECCV (11)
Zhongnan Qu, Cong Liu, Lothar Thiele
2022 J jnl
Enabling Deep Learning on Edge Devices.
CoRR
Zhongnan Qu
2022 — —
Enabling Deep Learning on Edge Devices.
Zhongnan Qu
2022 A* conf
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems.
CVPR
Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li
2022 J jnl
SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems.
CoRR
Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li
2022 A* conf
p-Meta: Towards On-device Deep Model Adaptation.
KDD
Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele
2022 J jnl
p-Meta: Towards On-device Deep Model Adaptation.
CoRR
Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele
2021 J jnl
Measuring what Really Matters: Optimizing Neural Networks for TinyML.
CoRR
Lennart Heim, Andreas Biri, Zhongnan Qu, Lothar Thiele
2020 A* conf
Adaptive Loss-Aware Quantization for Multi-Bit Networks.
CVPR
Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele
2020 J jnl
Deep Partial Updating.
CoRR
Zhongnan Qu, Cong Liu, Junfeng Guo, Lothar Thiele
2020 J jnl
Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset.
Frontiers Neurorobotics
Bin Li, Hu Cao, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang
2020 J jnl
Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset.
CoRR
Bin Li, Hu Cao, Zhongnan Qu, Yingbai Hu, Zhenke Wang, Zichen Liang
2020 A* conf
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor.
NeurIPS
Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois C. Knoll
2020 J jnl
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor.
CoRR
Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois C. Knoll
2019 J jnl
Adaptive Loss-aware Quantization for Multi-bit Networks.
CoRR
Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele
2019 J jnl
Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors.
Frontiers Neurorobotics
Guang Chen, Hu Cao, Canbo Ye, Zhenyan Zhang, Xingbo Liu, Xuhui Mo, Zhongnan Qu, Jörg Conradt, Florian Röhrbein, Alois C. Knoll
2018 J jnl
Deep Anticipation: Light Weight Intelligent Mobile Sensing in IoT by Recurrent Architecture.
CoRR
Guang Chen, Shu Liu, Gereon Hinz, Zhongnan Qu, Alois C. Knoll
2017 — conf
Adaptive robust moving hands recognition under complex lighting condition.
ICAR
Zhongnan Qu
2017 Misc conf
Online Multi-object Tracking-by-Clustering for Intelligent Transportation System with Neuromorphic Vision Sensor.
KI
Gereon Hinz, Guang Chen, Muhammad Aafaque, Florian Röhrbein, Jörg Conradt, Zhenshan Bing, Zhongnan Qu, Walter Stechele, Alois C. Knoll