Zhiqing Sun

Artificial Intelligence · 2018–2023

A researcher in the Science corpus: 11 papers; trusts 543 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 412 citations into it; #9,752 of 35,345 by trust here, #2,887 by citations
• Computer Vision and Pattern Recognition — 194 citations into it; #16,149 of 21,575 by trust here, #4,212 by citations
• Natural Language Processing — 188 citations into it; #4,827 of 5,688 by trust here, #2,172 by citations
• Large Language Models — 146 citations into it; #515 of 799 by trust here, #262 by citations
• Evaluation & Benchmarks — 87 citations into it
• Model Architectures — 44 citations into it
• Generative Models — 36 citations into it
• Representation & Self-Supervised Learning — 26 citations into it

Whom Zhiqing Sun trusts overall

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

1. Geoffrey E. Hinton
2. Diederik P. Kingma
3. Kaiming He
4. Alex Krizhevsky
5. Yoshua Bengio
6. Ross B. Girshick
7. Ilya Sutskever
8. Yann LeCun
9. Jimmy Ba
10. Alex Graves

Who trusts Zhiqing Sun overall

1. William L. Hamilton
2. Hongyu Ren
3. Zequn Sun
4. Hong-Liu Cao
5. Joseph Fisher
6. Shikhar Vashishth
7. Canwen Xu
8. Gaurav Menghani
9. Weihua Hu
10. Zhiyuan Fang

Papers from Zhiqing Sun's perspective

Ordered by how strongly the researchers Zhiqing 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. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
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. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Rethinking Transformer-based Set Prediction for Object Detection (2020) — 383 citations
• MobileBERT: a Compact Task-Agnostic BERT for Resource-Limited Devices (2020) — 1,053 citations
• PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts (2022) — 417 citations
• RotatE: Knowledge Graph Embedding by Relational Rotation in Complex Space (2018) — 2,814 citations
• Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision (2023) — 457 citations
• Aligning Large Multimodal Models with Factually Augmented RLHF (2023) — 811 citations
• Understanding and Improving Transformer From a Multi-Particle Dynamic System Point of View (2019) — 234 citations
• Active Retrieval Augmented Generation (2023) — 758 citations
• DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization (2023) — 307 citations
• BLOOM: A 176B-Parameter Open-Access Multilingual Language Model (2022) — 2,975 citations
• MobileBERT: Task-Agnostic Compression of BERT by Progressive Knowledge Transfer (2019) — 20 citations