Jiajun Bu
Artificial Intelligence · 2008–2016
A researcher in the Science corpus: 8 papers; trusts 27 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 50 citations into it; #13,610 of 35,345 by trust here, #12,974 by citations
- Computer Vision and Pattern Recognition — 44 citations into it
- Information Systems — 31 citations into it; #7,265 of 8,771 by trust here, #4,885 by citations
- Computational Mechanics — 19 citations into it
- Signal Processing — 18 citations into it
- Recommender Systems — 11 citations into it
- Management Science and Operations Research — 8 citations into it; #10,470 of 11,946 by trust here, #10,392 by citations
- Natural Language Processing — 8 citations into it
Whom Jiajun Bu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Paul Resnick
- Dengyong Zhou
- Thomas Hofmann
- Beth T. Logan
- Geoffrey E. Hinton
- Ruslan Salakhutdinov
- Yann LeCun
- Stéphane Mallat
- J. Breese
- Yoshua Bengio
Who trusts Jiajun Bu overall
- B. Liu
- Yue Shi
- Lei Zhang
- Soujanya Poria
- Jianling Wang
- Fangtao Li
- Lei Shu
- Hu Xu
- Yongfeng Zhang
- Fatemeh Hemmatian
Papers from Jiajun Bu's perspective
Ordered by how strongly the researchers Jiajun Bu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Graph Regularized Sparse Coding for Image Representation (2011) — 576 citations
- Opinion Word Expansion and Target Extraction through Double Propagation (2011) — 1,139 citations
- Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems (2014) — 36 citations
- Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization (2016) — 51 citations
- Social Recommendation Using Low-Rank Semidefinite Program (2011) — 25 citations
- Music recommendation by unified hypergraph: combining social media information and music content (2010) — 326 citations
- Efficient Representation of Adhoc Constraints (2009) — 392 citations
- RNACompress: Grammar-based compression and informational complexity measurement of RNA secondary structure (2008) — 26 citations