Lizhe Wang

5 papers · 2019–2021 · 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

Jump to papers ↓

🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (13) 🐣 Hot Topic Early Bird 🚀 Conference Pioneer

Venues

AAAI (3) CVPR (1) IJCAI (1)

Top co-authors

Chang Tang (5) Xinwang Liu (5) Xinzhong Zhu (4) En Zhu (3) Albert Zomaya (3) Kun Sun (1) Pichao WANG (1) Wen Gao (1) Zhigang Luo (1)

Research topics

Machine Learning (3) Core Methods (3) Computer Vision (2) Deep Learning (2) Analysis (2) Architectures (2) Learning Types · Machine Learning (2) Computer Science (1) Data Science & Analytics (1) Applications (1) Foundations (1) Learning Types · Deep Learning (1) Processing (1)

Keywords

recurrent neural network (2) defocus blur detection (2) multi-scale feature (2) semantic segmentation (2) consensus learning (1) graph-based clustering (1) multi-view learning (1) unsupervised feature selection (1) graph diffusion (1) image processing (1) semantic information (1) feature fusion (1) feature aggregation (1) manifold geometry (1) residual learning (1) graph fusion (1) consensus graph (1) complementary information (1) band selection (1) hyperspectral imaging (1)

Papers

Hyperspectral Band Selection via Spatial-Spectral Weighted Region-wise Multiple Graph Fusion-Based Spectral Clustering IJCAI 2021 CGD: Multi-View Clustering via Cross-View Graph Diffusion AAAI 2020 R²MRF: Defocus Blur Detection via Recurrently Refining Multi-Scale Residual Features AAAI 2020 Cross-View Local Structure Preserved Diversity and Consensus Learning for Multi-View Unsupervised Feature Selection AAAI 2019 DeFusionNET: Defocus Blur Detection via Recurrently Fusing and Refining Multi-Scale Deep Features CVPR 2019