Adaptive robust moving hands recognition under complex lighting condition. - Zhongnan Qu (ICAR, 2017)

Online Multi-object Tracking-by-Clustering for Intelligent Transportation System with Neuromorphic Vision Sensor. - Gereon Hinz; Guang Chen 001; Muhammad Aafaque; Florian Röhrbein; Jörg Conradt; Zhenshan Bing; Zhongnan Qu; Walter Stechele; Alois C. Knoll (KI, 2017)

Deep Anticipation: Light Weight Intelligent Mobile Sensing in IoT by Recurrent Architecture. - Guang Chen 001; Shu Liu; Gereon Hinz; Zhongnan Qu; Alois C. Knoll (CoRR, 2018)

Multi-Cue Event Information Fusion for Pedestrian Detection With Neuromorphic Vision Sensors. - Guang Chen 001; Hu Cao; Canbo Ye; Zhenyan Zhang; Xingbo Liu; Xuhui Mo; Zhongnan Qu; Jörg Conradt; Florian Röhrbein; Alois C. Knoll (Frontiers Neurorobotics, 2019)

Adaptive Loss-Aware Quantization for Multi-Bit Networks. - Zhongnan Qu; Zimu Zhou; Yun Cheng; Lothar Thiele (CVPR, 2020)

RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor. - Fan Lu 001; Guang Chen 001; Yinlong Liu; Zhongnan Qu; Alois C. Knoll (NeurIPS, 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)

Deep Partial Updating. - Zhongnan Qu; Cong Liu 005; Junfeng Guo; Lothar Thiele (CoRR, 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)

Measuring what Really Matters: Optimizing Neural Networks for TinyML. - Lennart Heim; Andreas Biri; Zhongnan Qu; Lothar Thiele (CoRR, 2021)

SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. - Xin Dong 009; Barbara De Salvo; Meng Li 004; Chiao Liu; Zhongnan Qu; H. T. Kung 001; Ziyun Li (CVPR, 2022)

Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference. - Zhongnan Qu; Cong Liu 005; Lothar Thiele (ECCV (11), 2022)

p-Meta: Towards On-device Deep Model Adaptation. - Zhongnan Qu; Zimu Zhou; Yongxin Tong; Lothar Thiele (KDD, 2022)

DRESS: Dynamic REal-time Sparse Subnets. - Zhongnan Qu; Syed Shakib Sarwar; Xin Dong 009; Yuecheng Li; Huseyin Ekin Sumbul; Barbara De Salvo (CoRR, 2022)

Enabling Deep Learning on Edge Devices. - Zhongnan Qu (CoRR, 2022)

Enabling Deep Learning on Edge Devices. - Zhongnan Qu (2022)

Efficient Large Language Models: A Survey. - Zhongwei Wan; Xin Wang 120; Che Liu; Samiul Alam; Yu Zheng 022; Jiachen Liu; Zhongnan Qu; Shen Yan; Yi Zhu; Quanlu Zhang; Mosharaf Chowdhury; Mi Zhang 002 (Trans. Mach. Learn. Res., 2024)

GhostViT: Expediting Vision Transformers via Cheap Operations. - Hu Cao; Zhongnan Qu; Guang Chen 001; Xinyi Li; Lothar Thiele; Alois Knoll (IEEE Trans. Artif. Intell., 2024)