Vincent Wenchen Zheng
Artificial Intelligence · 2007–2019
A researcher in the Science corpus: 19 papers; trusts 815 researchers and is trusted by 45 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 320 citations into it; #10,460 of 35,345 by trust here, #6,569 by citations
- Computer Vision and Pattern Recognition — 172 citations into it; #11,945 of 21,575 by trust here, #10,677 by citations
- Representation & Self-Supervised Learning — 139 citations into it; #2,991 of 3,145 by trust here, #2,066 by citations
- Graph Learning — 112 citations into it; #412 of 693 by trust here, #330 by citations
- Statistical and Nonlinear Physics — 89 citations into it; #3,866 of 10,127 by trust here, #1,314 by citations
- Information Systems — 44 citations into it; #6,843 of 8,771 by trust here, #2,912 by citations
- Natural Language Processing — 43 citations into it
- Signal Processing — 36 citations into it; #1,807 of 7,572 by trust here, #1,538 by citations
Whom Vincent Wenchen Zheng trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Ilya Sutskever
- Diederik P. Kingma
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Tomas Mikolov
- Sepp Hochreiter
- Radford M. Neal
Who trusts Vincent Wenchen Zheng overall
- Yu Zheng
- Qiang Yang
- Chen-Kuang Cheng
- Diane Joyce Cook
- Jie Bao
- Qiang Liu
- Mao Ye
- Nazli Ikizler-Cinbis
- Zemin Liu
- Haiqin Yang
Papers from Vincent Wenchen Zheng's perspective
Ordered by how strongly the researchers Vincent Wenchen Zheng trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A Survey of Zero-Shot Learning (2019) — 777 citations
- Indoor localization in multi-floor environments with reduced effort (2010) — 66 citations
- Multi-task learning for cross-platform siRNA efficacy prediction: an in-silico study (2010) — 85 citations
- Distance-Aware DAG Embedding for Proximity Search on Heterogeneous Graphs (2018) — 35 citations
- Subgraph-augmented Path Embedding for Semantic User Search on Heterogeneous Social Network (2018) — 28 citations
- CityTransfer (2018) — 69 citations
- A Comprehensive Survey of Graph Embedding: Problems, Techniques, and Applications (2017) — 1,965 citations
- Community-Based Question Answering via Asymmetric Multi-Faceted Ranking Network Learning (2017) — 58 citations
- Topological Recurrent Neural Network for Diffusion Prediction (2017) — 203 citations
- Learning Community Embedding with Community Detection and Node Embedding on Graphs (2017) — 395 citations
- Semantic Proximity Search on Heterogeneous Graph by Proximity Embedding (2017) — 71 citations
- From Node Embedding To Community Embedding (2016) — 34 citations
- Covariate Shift in Hilbert Space: A Solution via Sorrogate Kernels (2013) — 79 citations
- Collaborative Filtering Meets Mobile Recommendation: A User-Centered Approach (2010) — 383 citations
- Collaborative location and activity recommendations with GPS history data (2010) — 730 citations
- Cross-domain activity recognition (2009) — 140 citations
- Transferring Localization Models over Time (2008) — 104 citations
- Transferring Multi-device Localization Models using Latent Multi-task Learning (2008) — 106 citations
- Domain-constrained semi-supervised mining of tracking models in sensor networks (2007) — 41 citations