Guanzhi Wang
Artificial Intelligence · 2020–2025
A researcher in the Science corpus: 8 papers; trusts 303 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 344 citations into it
- Computer Vision and Pattern Recognition — 279 citations into it
- Reinforcement Learning — 147 citations into it
- Control and Systems Engineering — 102 citations into it
- Robotics & Control — 76 citations into it
- Large Language Models — 44 citations into it
- Model Architectures — 26 citations into it
- Biomedical Engineering — 18 citations into it
Whom Guanzhi Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Ross B. Girshick
- Alec Radford
- Alex Graves
Who trusts Guanzhi Wang overall
- Danijar Hafner
- Andy Zhou
- J. Pašukonis
- Shuyan Zhou
- Theodore R. Sumers
- Peiyi Wang
- Tianle Cai
- Xingyao Wang
- Jimmy Ba
- Jihan Yang
Papers from Guanzhi Wang's perspective
Ordered by how strongly the researchers Guanzhi Wang 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- VIMA: General Robot Manipulation with Multimodal Prompts (2022) — 578 citations
- MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge (2022) — 597 citations
- RubiksNet: Learnable 3D-Shift for Efficient Video Action Recognition (2020) — 73 citations
- Voyager: An Open-Ended Embodied Agent with Large Language Models (2023) — 1,998 citations
- iGibson 1.0: A Simulation Environment for Interactive Tasks in Large Realistic Scenes (2020) — 246 citations
- GR00T N1: An Open Foundation Model for Generalist Humanoid Robots (2025) — 1,085 citations
- Eureka: Human-Level Reward Design via Coding Large Language Models (2023) — 673 citations
- iGibson, a Simulation Environment for Interactive Tasks in Large Realistic Scenes (2020) — 57 citations