Xintao Wu
Artificial Intelligence · 2008–2025
A researcher in the Science corpus: 22 papers; trusts 295 researchers and is trusted by 53 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 320 citations into it; #3,767 of 35,345 by trust here, #5,533 by citations
- AI Ethics, Fairness & Society — 96 citations into it; #42 of 494 by trust here, #69 by citations
- Safety Research — 94 citations into it; #393 of 5,829 by trust here, #585 by citations
- Safety, Robustness & Interpretability — 91 citations into it
- Causal Inference & Discovery — 57 citations into it; #97 of 364 by trust here, #103 by citations
- Statistics and Probability — 55 citations into it; #8,608 of 12,932 by trust here, #7,914 by citations
- Sociology and Political Science — 50 citations into it; #4,698 of 22,756 by trust here, #12,387 by citations
- Computer Vision and Pattern Recognition — 39 citations into it; #8,744 of 21,575 by trust here, #14,478 by citations
Whom Xintao Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Toon Calders
- Faisal Kamiran
- Lu Zhang
- Cynthia Dwork
- Alex Krizhevsky
- Yongkai Wu
- Judea Pearl
- Sara Hajian
Who trusts Xintao Wu overall
- Lu Zhang
- Yongkai Wu
- Silvia Chiappa
- Ninareh Mehrabi
- Luca Oneto
- Bargav Jayaraman
- Fred Morstatter
- Nhathai Phan
- Fatemehsadat Mirshghallah
- Liyang Xie
Papers from Xintao Wu's perspective
Ordered by how strongly the researchers Xintao Wu 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)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- FairGAN: Fairness-aware Generative Adversarial Networks (2018) — 379 citations
- MathBERT: A Pre-trained Language Model for General NLP Tasks in Mathematics Education (2021) — 91 citations
- Anti-discrimination learning: a causal modeling-based framework (2017) — 54 citations
- A Causal Framework for Discovering and Removing Direct and Indirect Discrimination (2016) — 191 citations
- Using Loglinear Model for Discrimination Discovery and Prevention (2016) — 16 citations
- Causal Modeling-Based Discrimination Discovery and Removal: Criteria, Bounds, and Algorithms (2019) — 54 citations
- Differential Privacy Preserving Spectral Graph Analysis (2013) — 127 citations
- SplitE: Enhancing Knowledge Graph Embedding Precision with Entity Split and Contextualization (2025)
- LogBERT: Log Anomaly Detection via BERT (2021) — 437 citations
- PC-Fairness: A Unified Framework for Measuring Causality-based Fairness (2019) — 130 citations
- Counterfactual Fairness: Unidentification, Bound and Algorithm (2019) — 115 citations
- Fairness-aware Classification: Criterion, Convexity, and Bounds (2018) — 28 citations
- Adaptive Laplace Mechanism: Differential Privacy Preservation in Deep Learning (2017) — 222 citations
- Achieving non-discrimination in prediction (2017) — 33 citations
- Preserving differential privacy in convolutional deep belief networks (2017) — 88 citations
- SNE: Signed Network Embedding (2017) — 147 citations
- On Discrimination Discovery Using Causal Networks (2016) — 22 citations
- Differential Privacy Preservation for Deep Auto-Encoders: an Application of Human Behavior Prediction (2016) — 252 citations
- Achieving Non-Discrimination in Data Release (2016) — 74 citations
- Situation Testing-Based Discrimination Discovery: A Causal Inference Approach (2016) — 60 citations