Xu Sun

Artificial Intelligence · AAAI Conference on Artificial Intelligence · 2013–2024

A researcher in the Science corpus: 27 papers; trusts 1,038 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 569 citations into it; #14,802 of 35,345 by trust here, #4,080 by citations
• Computer Vision and Pattern Recognition — 313 citations into it; #21,447 of 21,575 by trust here, #6,371 by citations
• Natural Language Processing — 290 citations into it; #5,172 of 5,688 by trust here, #3,190 by citations
• Model Architectures — 93 citations into it
• Large Language Models — 84 citations into it
• Optimization & Training — 70 citations into it; #1,921 of 2,601 by trust here, #1,134 by citations
• Multimodal Learning — 63 citations into it
• Prompting & Reasoning — 61 citations into it; #278 of 359 by trust here, #346 by citations

Whom Xu Sun trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Yoshua Bengio
3. Michael Collins
4. Diederik P. Kingma
5. Alex Krizhevsky
6. Kaiming He
7. Ilya Sutskever
8. Yann LeCun
9. L. Eon Bottou
10. Jimmy Ba

Who trusts Xu Sun overall

1. Elias Frantar
2. Lukas Hedegaard
3. Xin Jin
4. Xuancheng Ren
5. B. Ermiş
6. Sadhika Malladi
7. Jingjing Xu
8. Dan Alistarh
9. Zhiheng Huang
10. Liyuan Liu

Papers from Xu Sun's perspective

Ordered by how strongly the researchers Xu Sun trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Adaptive Gradient Methods with Dynamic Bound of Learning Rate (2019) — 693 citations
• Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation (2018) — 152 citations
• Unpaired Sentiment-to-Sentiment Translation: A Cycled Reinforcement Learning Approach (2018) — 215 citations
• Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations (2019) — 96 citations
• Learning Personalized End-to-End Goal-Oriented Dialog (2018) — 87 citations
• A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer (2019) — 188 citations
• Asking Clarification Questions in Knowledge-Based Question Answering (2019) — 80 citations
• meProp: Sparsified Back Propagation for Accelerated Deep Learning with Reduced Overfitting (2017) — 171 citations
• Exploring the Vulnerability of Deep Neural Networks: A Study of Parameter Corruption (2020) — 47 citations
• Be Careful about Poisoned Word Embeddings: Exploring the Vulnerability of the Embedding Layers in NLP Models (2021) — 181 citations
• A Survey on In-context Learning (2022) — 1,101 citations
• Learning to Control the Fine-grained Sentiment for Story Ending Generation (2019) — 54 citations
• Sequence-to-sequence Pre-training with Data Augmentation for Sentence Rewriting (2019) — 19 citations
• TempCompass: Do Video LLMs Really Understand Videos? (2024) — 342 citations
• A Survey for In-context Learning (2023) — 401 citations
• TimeChat: A Time-sensitive Multimodal Large Language Model for Long Video Understanding (2023) — 489 citations
• Hierarchical Inductive Transfer for Continual Dialogue Learning (2022) — 5 citations
• Rethinking Skip Connection with Layer Normalization (2020) — 85 citations
• Understanding and Improving Layer Normalization (2019) — 543 citations
• Aligning Visual Regions and Textual Concepts: Learning Fine-Grained Image Representations for Image Captioning (2019) — 5 citations