Yuan Yao
Artificial Intelligence · arXiv.org · 2001–2025
A researcher in the Science corpus: 21 papers; trusts 690 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 388 citations into it; #5,696 of 35,345 by trust here, #3,816 by citations
- Computer Vision and Pattern Recognition — 269 citations into it; #12,255 of 21,575 by trust here, #5,806 by citations
- Large Language Models — 103 citations into it
- Natural Language Processing — 95 citations into it; #3,525 of 5,688 by trust here, #2,567 by citations
- Multimodal Learning — 67 citations into it
- Evaluation & Benchmarks — 59 citations into it; #1,884 of 3,147 by trust here, #1,603 by citations
- Optimization & Training — 43 citations into it; #663 of 2,601 by trust here, #924 by citations
- Representation & Self-Supervised Learning — 40 citations into it
Whom Yuan Yao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Yoshua Bengio
- Diederik P. Kingma
- Ilya Sutskever
- Yann LeCun
- Ross B. Girshick
- Karen Simonyan
- David G. Lowe
Who trusts Yuan Yao overall
- Lorenzo Rosasco
- Mikhail Belkin
- Francis R. Bach
- Dominic Richards
- Octavio Loyola-González
- Hongmin Wang
- Francesco Orabona
- Lénaïc Chizat
- Ernesto De Vito
- Aymeric Dieuleveut
Papers from Yuan Yao's perspective
Ordered by how strongly the researchers Yuan Yao 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
Their papers
- Visual attribute transfer through deep image analogy (2017) — 548 citations
- CPT: Colorful Prompt Tuning for Pre-trained Vision-Language Models (2021) — 257 citations
- On Early Stopping in Gradient Descent Learning (2007) — 1,149 citations
- FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation (2018) — 690 citations
- ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills (2023) — 381 citations
- RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-Grained Correctional Human Feedback (2023) — 466 citations
- Transfer Visual Prompt Generator across LLMs (2023) — 114 citations
- An Acceleration Framework for High Resolution Image Synthesis (2019) — 10 citations
- CPM-2: Large-scale Cost-effective Pre-trained Language Models (2021) — 101 citations
- DocRED: A Large-Scale Document-Level Relation Extraction Dataset (2019) — 584 citations
- Statistical ranking and combinatorial Hodge theory (2008) — 424 citations
- Process Reinforcement through Implicit Rewards (2025) — 386 citations
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies (2024) — 750 citations
- Adversarial Language Games for Advanced Natural Language Intelligence (2019) — 8 citations
- MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning (2018) — 23 citations
- Large-Scale Off-Target Identification Using Fast and Accurate Dual Regularized One-Class Collaborative Filtering and Its Application to Drug Repurposing (2016) — 65 citations
- Sparse Recovery via Differential Inclusions (2014) — 77 citations
- Online Learning as Stochastic Approximation of Regularization Paths: Optimality and Almost-Sure Convergence (2011) — 99 citations
- Doping-dependent phase diagram of LaOMAs (M=V–Cu) and electron-type superconductivity near ferromagnetic instability (2008) — 156 citations
- Method and Application of Dynamic Comprehensive Evaluation (2007) — 67 citations