Zhongnan Qu

4 papers · 2020–2022 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird

Venues

CVPR (2) ECCV (1) NeurIPS (1)

Top co-authors

Lothar Thiele (2) Ziyun Li (1) Alois Knoll (1) Barbara De Salvo (1) Xin Dong (1) Chiao Liu (1) Guang Chen (1) Cong Liu (1) H.T. Kung (1) Zimu Zhou (1)

Research topics

Machine Learning (3) Artificial Intelligence (2) Deep Learning (2) Application Areas (2) Core AI (2) Computer Vision (1) Analysis (1) Architectures (1) Core Methods (1) Optimization & Theory · Deep Learning (1) Optimization & Theory · Machine Learning (1) Techniques (1)

Keywords

neural network quantization (1) model compression (1) model quantization (1) point cloud registration (1) 3d vision (1) neural architecture search (1) distributed computing (1) multi-view learning (1) loss function (1) edge computing (1) bit-width reduction (1) weight quantization (1) keypoint detection (1) network compression (1) neural network (1) low-resource deployment (1) keypoint descriptor (1) model splitting (1) head-mounted system (1) multi-bit network (1)

Papers

Deep Partial Updating: Towards Communication Efficient Updating for On-Device Inference ECCV 2022 SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems CVPR 2022 Adaptive Loss-Aware Quantization for Multi-Bit Networks CVPR 2020 RSKDD-Net: Random Sample-based Keypoint Detector and Descriptor NeurIPS 2020