Lu Zhang
Information Systems · 2008 ACM/IEEE 30th International Conference on Software Engineering · 2008–2021
A researcher in the Science corpus: 6 papers; trusts 37 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Information Systems — 69 citations into it; #2,958 of 8,771 by trust here, #1,362 by citations
- Software — 61 citations into it; #523 of 1,227 by trust here, #209 by citations
- Artificial Intelligence — 40 citations into it
- Natural Language Processing — 26 citations into it
- Computer Vision and Pattern Recognition — 15 citations into it
- Model Architectures — 15 citations into it
- Program Analysis & Verification — 13 citations into it
- Code Generation & Program Synthesis — 6 citations into it
Whom Lu Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Dana Angluin
- Kaiming He
- Jimmy Ba
- Alex Krizhevsky
- Yann LeCun
- Dan Hendrycks
Who trusts Lu Zhang overall
- Chengnian Sun
- Jaroslav M. Fowkes
- Tim Menzies
- Anh Tuan Nguyen
- Charles Sutton
- Gaeul Jeong
- David Lo
- Nicolas Bettenburg
- Ahmed Lamkanfi
Papers from Lu Zhang's perspective
Ordered by how strongly the researchers Lu Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Layer Normalization
Their papers
- A syntax-guided edit decoder for neural program repair (2021) — 301 citations
- TreeGen: A Tree-Based Transformer Architecture for Code Generation (2019) — 202 citations
- An empirical study on TensorFlow program bugs (2018) — 335 citations
- Precise Condition Synthesis for Program Repair (2016) — 331 citations
- MAPO: Mining and Recommending API Usage Patterns (2009) — 433 citations
- An approach to detecting duplicate bug reports using natural language and execution information (2008) — 584 citations