Wenhu Chen
Artificial Intelligence · Neural Information Processing Systems · 2017–2024
A researcher in the Science corpus: 22 papers; trusts 1,349 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 660 citations into it; #6,727 of 35,345 by trust here, #2,545 by citations
- Computer Vision and Pattern Recognition — 395 citations into it; #9,080 of 21,575 by trust here, #3,786 by citations
- Natural Language Processing — 289 citations into it; #3,957 of 5,688 by trust here, #1,926 by citations
- Large Language Models — 194 citations into it
- Multimodal Learning — 131 citations into it; #1,205 of 1,211 by trust here, #984 by citations
- Evaluation & Benchmarks — 130 citations into it
- Prompting & Reasoning — 91 citations into it; #195 of 359 by trust here, #182 by citations
- Information Systems — 67 citations into it
Whom Wenhu Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Yoshua Bengio
- Alex Krizhevsky
- Ilya Sutskever
- Yann LeCun
- Ross B. Girshick
- Alex Graves
- Sepp Hochreiter
Who trusts Wenhu Chen overall
- Pan Lu
- Jinhao Jiang
- Jie Huang
- Mihir Kale
- Baolin Peng
- Tianbao Xie
- Xinyun Chen
- Wenqing Chen
- Linjie Li
- Julian Martin Eisenschlos
Papers from Wenhu Chen's perspective
Ordered by how strongly the researchers Wenhu Chen 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
- 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)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- Video Captioning via Hierarchical Reinforcement Learning (2017) — 254 citations
- Re-Imagen: Retrieval-Augmented Text-to-Image Generator (2022) — 260 citations
- Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks (2022) — 1,410 citations
- Meta Module Network for Compositional Visual Reasoning (2019) — 82 citations
- Violin: A Large-Scale Dataset for Video-and-Language Inference (2020) — 79 citations
- HybridQA: A Dataset of Multi-Hop Question Answering over Tabular and Textual Data (2020) — 415 citations
- TabFact: A Large-scale Dataset for Table-based Fact Verification (2019) — 700 citations
- Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (2019) — 1,983 citations
- Logical Natural Language Generation from Open-Domain Tables (2020) — 180 citations
- MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Text (2022) — 304 citations
- Logic2Text: High-Fidelity Natural Language Generation from Logical Forms (2020) — 75 citations
- MagicBrush: A Manually Annotated Dataset for Instruction-Guided Image Editing (2023) — 689 citations
- Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention (2019) — 133 citations
- TheoremQA: A Theorem-driven Question Answering dataset (2023) — 250 citations
- MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning (2023) — 596 citations
- Enhancing the Robustness of Prior Network in Out-of-Distribution Detection (2018) — 9 citations
- Long-context LLMs Struggle with Long In-context Learning (2024) — 375 citations
- MAmmoTH2: Scaling Instructions from the Web (2024) — 170 citations
- OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement (2024) — 279 citations
- MMMU-Pro: A More Robust Multi-discipline Multimodal Understanding Benchmark (2024) — 489 citations