Xu Han
Artificial Intelligence · arXiv.org · 2018–2024
A researcher in the Science corpus: 28 papers; trusts 600 researchers and is trusted by 60 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 1,072 citations into it; #3,901 of 35,345 by trust here, #1,590 by citations
- Natural Language Processing — 514 citations into it; #2,513 of 5,688 by trust here, #1,518 by citations
- Computer Vision and Pattern Recognition — 398 citations into it; #19,485 of 21,575 by trust here, #5,116 by citations
- Large Language Models — 268 citations into it; #431 of 799 by trust here, #320 by citations
- Representation & Self-Supervised Learning — 156 citations into it
- Evaluation & Benchmarks — 116 citations into it; #1,833 of 3,147 by trust here, #1,371 by citations
- Efficiency & Compression — 86 citations into it
- Prompting & Reasoning — 71 citations into it; #170 of 359 by trust here, #206 by citations
Whom Xu Han trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Kaiming He
- Alex Krizhevsky
- Ilya Sutskever
- Oriol Vinyals
- Yann LeCun
- Tomas Mikolov
- Richard Socher
Who trusts Xu Han overall
- Tianyu Gao
- Ning Ding
- Chengwei Qin
- Wenpeng Yin
- Zhiyuan Liu
- Xiao Liu
- Yuxian Gu
- Zhengyan Zhang
- Shafiq R. Joty
- Maosong Sun
Papers from Xu Han's perspective
Ordered by how strongly the researchers Xu Han 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
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- ERNIE: Enhanced Language Representation with Informative Entities (2019) — 1,575 citations
- FewRel: A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation (2018) — 690 citations
- Pre-Trained Models: Past, Present and Future (2021) — 1,095 citations
- Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification (2019) — 398 citations
- PPT: Pre-trained Prompt Tuning for Few-shot Learning (2021) — 499 citations
- PTR: Prompt Tuning with Rules for Text Classification (2021) — 596 citations
- FewRel 2.0: Towards More Challenging Few-Shot Relation Classification (2019) — 279 citations
- GEAR: Graph-based Evidence Aggregating and Reasoning for Fact Verification (2019) — 241 citations
- CPM-2: Large-scale Cost-effective Pre-trained Language Models (2021) — 101 citations
- CPM: A Large-scale Generative Chinese Pre-trained Language Model (2020) — 132 citations
- DocRED: A Large-Scale Document-Level Relation Extraction Dataset (2019) — 584 citations
- Neural Snowball for Few-Shot Relation Learning (2019) — 85 citations
- MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies (2024) — 750 citations
- OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems (2024) — 1,199 citations
- MiniCPM-V: A GPT-4V Level MLLM on Your Phone (2024) — 1,205 citations
- UltraLink: An Open-Source Knowledge-Enhanced Multilingual Supervised Fine-tuning Dataset (2024)
- ∞Bench: Extending Long Context Evaluation Beyond 100K Tokens (2024) — 377 citations
- Tool Learning with Foundation Models (2023) — 420 citations
- Knowledge Inheritance for Pre-trained Language Models (2021) — 65 citations
- Prompt-Learning for Fine-Grained Entity Typing (2021) — 176 citations