Xiangliang Zhang
Artificial Intelligence · Science · 2012–2021
A researcher in the Science corpus: 12 papers; trusts 241 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 185 citations into it; #7,415 of 35,345 by trust here, #7,112 by citations
- Information Systems — 83 citations into it; #4,297 of 8,771 by trust here, #2,821 by citations
- Computer Vision and Pattern Recognition — 58 citations into it
- Natural Language Processing — 51 citations into it
- Management Science and Operations Research — 22 citations into it
- Representation & Self-Supervised Learning — 19 citations into it
- Model Architectures — 16 citations into it
- Evaluation & Benchmarks — 12 citations into it
Whom Xiangliang Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Alex Krizhevsky
- Lei Wang
- Faisal Kamiran
- Ilya Sutskever
- Jimmy Ba
- Yann LeCun
- Ruslan Salakhutdinov
Who trusts Xiangliang Zhang overall
- Sara Hajian
- Asmita Kashid
- Indrė Žliobaitė
- Luca Oneto
- Niels Bantilan
- Junliang Yu
- Simon Caton
- Salvatore Ruggieri
- Vrushali Kulkarni
Papers from Xiangliang Zhang's perspective
Ordered by how strongly the researchers Xiangliang Zhang 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)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Is Attribute-Based Zero-Shot Learning an Ill-Posed Strategy? (2016) — 8 citations
- Controlling Attribute Effect in Linear Regression (2013) — 159 citations
- Anti-discrimination Analysis Using Privacy Attack Strategies (2014) — 28 citations
- CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles (2018) — 485 citations
- Solving Math Word Problems with Teacher Supervision (2021) — 33 citations
- Self-Supervised Multi-Channel Hypergraph Convolutional Network for Social Recommendation (2021) — 617 citations
- MWP-BERT: A Strong Baseline for Math Word Problems (2021) — 42 citations
- The soundscape of the Anthropocene ocean (2021) — 668 citations
- Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation (2020) — 632 citations
- In2Rec: Influence-based Interpretable Recommendation (2019) — 11 citations
- An up-to-date comparison of state-of-the-art classification algorithms (2017) — 392 citations
- Decision Theory for Discrimination-Aware Classification (2012) — 381 citations