Weijie Su

Artificial Intelligence · arXiv.org · 2019–2025

A researcher in the Science corpus: 6 papers; trusts 374 researchers and is trusted by 446 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 281 citations into it; #4,585 of 35,345 by trust here, #1,560 by citations
• Computer Vision and Pattern Recognition — 279 citations into it; #1,994 of 21,575 by trust here, #1,114 by citations
• Model Architectures — 42 citations into it

Whom Weijie Su trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Diederik P. Kingma
6. Ilya Sutskever
7. Yoshua Bengio
8. Tsung-Yi Lin
9. Jia Deng
10. Yann LeCun

Who trusts Weijie Su overall

1. Zhe Gan
2. Jianwei Yang
3. Pengchuan Zhang
4. Chunyuan Li
5. Linjie Li
6. Yen-Chun Chen
7. Ronghang Hu
8. Xiaowei Hu
9. Liunian Harold Li
10. Salman Hameed Khan

Papers from Weijie Su's perspective

Ordered by how strongly the researchers Weijie Su 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. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• VL-BERT: Pre-training of Generic Visual-Linguistic Representations (2019) — 1,848 citations
• Deformable DETR: Deformable Transformers for End-to-End Object Detection (2020) — 7,924 citations
• Intern VL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks (2023) — 3,154 citations
• InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models (2025) — 1,590 citations
• Ghost in the Minecraft: Generally Capable Agents for Open-World Environments via Large Language Models with Text-based Knowledge and Memory (2023) — 345 citations
• InternVL3.5: Advancing Open-Source Multimodal Models in Versatility, Reasoning, and Efficiency (2025) — 1,136 citations