Zhongnan Qu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 22

Top Topics

Pedestrian Detection

Neural Architectures

Top Venues

Frontiers Neurorobotics

Publications

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) (2024)
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)
Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang
Efficient Large Language Models: A Survey. CoRR (2023)
Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, H. Ekin Sumbul, Barbara De Salvo
DRESS: Dynamic REal-time Sparse Subnets. CoRR (2022)
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 (2022)
Zhongnan Qu, Cong Liu, Lothar Thiele
Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference. ECCV (11) (2022)
Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele
p-Meta: Towards On-device Deep Model Adaptation. KDD (2022)
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)
Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele
p-Meta: Towards On-device Deep Model Adaptation. CoRR (2022)
Zhongnan Qu
Enabling Deep Learning on Edge Devices. CoRR (2022)
Lennart Heim, Andreas Biri, Zhongnan Qu, Lothar Thiele
Measuring what Really Matters: Optimizing Neural Networks for TinyML. CoRR (2021)
Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele
Adaptive Loss-Aware Quantization for Multi-Bit Networks. CVPR (2020)
Zhongnan Qu, Cong Liu, Junfeng Guo, Lothar Thiele
Deep Partial Updating. CoRR (2020)
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 (2020)
Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois C. Knoll
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor. NeurIPS (2020)
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 (2020)
Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois C. Knoll
RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor. CoRR (2020)
Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele
Adaptive Loss-aware Quantization for Multi-bit Networks. CoRR (2019)
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 (2019)
Guang Chen, Shu Liu, Gereon Hinz, Zhongnan Qu, Alois C. Knoll
Deep Anticipation: Light Weight Intelligent Mobile Sensing in IoT by Recurrent Architecture. CoRR (2018)
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)
Zhongnan Qu
Adaptive robust moving hands recognition under complex lighting condition. ICAR (2017)