Zhenchang Xing
Artificial Intelligence · 2005–2023
A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 90 citations into it; #16,334 of 35,345 by trust here, #16,166 by citations
- Natural Language Processing — 35 citations into it
- Information Systems — 22 citations into it; #3,480 of 8,771 by trust here, #7,997 by citations
- Evaluation & Benchmarks — 14 citations into it
- Computer Networks and Communications — 7 citations into it
- Model Architectures — 5 citations into it
Whom Zhenchang Xing trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Johannes Henkel
- Geoffrey E. Hinton
- Yoshua Bengio
- Erik Cambria
- Diederik P. Kingma
- Amer Diwan
- Tomas Mikolov
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
Who trusts Zhenchang Xing overall
- Nikolaos Tsantalis
- Danilo Silva
- Beat Fluri
- Michael Würsch
- Matin Mansouri
- Tom Young
- Marco Tulio de Oliveira Valente
- Martin Pinzger
Papers from Zhenchang Xing's perspective
Ordered by how strongly the researchers Zhenchang Xing trusts endorse each paper. Same corpus, a different order for every researcher.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- 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)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- Exploring AI Ethics of ChatGPT: A Diagnostic Analysis (2023) — 262 citations
- Ensemble application of convolutional and recurrent neural networks for multi-label text categorization (2017) — 245 citations
- Measuring Program Comprehension: A Large-Scale Field Study with Professionals (2018) — 346 citations
- UMLDiff: an algorithm for object-oriented design differencing (2005) — 488 citations