Zhongnan Qu

According to our database, Zhongnan Qu authored at least 18 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

GhostViT: Expediting Vision Transformers via Cheap Operations.

Hu Cao, Zhongnan Qu, Guang Chen, Xinyi Li, Lothar Thiele, Alois Knoll

IEEE Trans. Artif. Intell., June, 2024

Efficient Large Language Models: A Survey.

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

Trans. Mach. Learn. Res., 2024

2022

Enabling Deep Learning on Edge Devices.

Zhongnan Qu

PhD thesis, 2022

Enabling Deep Learning on Edge Devices.

Zhongnan Qu

CoRR, 2022

DRESS: Dynamic REal-time Sparse Subnets.

Zhongnan Qu, Syed Shakib Sarwar, Xin Dong, Yuecheng Li, Huseyin Ekin Sumbul, Barbara De Salvo

CoRR, 2022

p-Meta: Towards On-device Deep Model Adaptation.

Zhongnan Qu, Zimu Zhou, Yongxin Tong, Lothar Thiele

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference.

Zhongnan Qu, Cong Liu, Lothar Thiele

Proceedings of the Computer Vision - ECCV 2022, 2022

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Measuring what Really Matters: Optimizing Neural Networks for TinyML.

Lennart Heim, Andreas Biri, Zhongnan Qu, Lothar Thiele

CoRR, 2021

2020

Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset.

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

Frontiers Neurorobotics, 2020

Deep Partial Updating.

Zhongnan Qu, Cong Liu, Junfeng Guo, Lothar Thiele

CoRR, 2020

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

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

CoRR, 2020

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

Fan Lu, Guang Chen, Yinlong Liu, Zhongnan Qu, Alois C. Knoll

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Adaptive Loss-Aware Quantization for Multi-Bit Networks.

Zhongnan Qu, Zimu Zhou, Yun Cheng, Lothar Thiele

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors.

Guang Chen, Hu Cao, Canbo Ye, Zhenyan Zhang, Xingbo Liu, Xuhui Mo, Zhongnan Qu, Jörg Conradt, Florian Röhrbein, Alois C. Knoll

Frontiers Neurorobotics, 2019

2018

Deep Anticipation: Light Weight Intelligent Mobile Sensing in IoT by Recurrent Architecture.

Guang Chen, Shu Liu, Gereon Hinz, Zhongnan Qu, Alois C. Knoll

CoRR, 2018

2017

Online Multi-object Tracking-by-Clustering for Intelligent Transportation System with Neuromorphic Vision Sensor.

Gereon Hinz, Guang Chen, Muhammad Aafaque, Florian Röhrbein, Jörg Conradt, Zhenshan Bing, Zhongnan Qu, Walter Stechele, Alois C. Knoll

Proceedings of the KI 2017: Advances in Artificial Intelligence, 2017

Adaptive robust moving hands recognition under complex lighting condition.

Zhongnan Qu

Proceedings of the 18th International Conference on Advanced Robotics, 2017