Chenguang Zhu
Artificial Intelligence · 2012–2023
A researcher in the Science corpus: 29 papers; trusts 1,221 researchers and is trusted by 44 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 886 citations into it; #5,484 of 35,345 by trust here, #2,684 by citations
- Natural Language Processing — 564 citations into it; #1,665 of 5,688 by trust here, #1,262 by citations
- Computer Vision and Pattern Recognition — 457 citations into it; #7,620 of 21,575 by trust here, #4,372 by citations
- Evaluation & Benchmarks — 197 citations into it; #2,660 of 3,147 by trust here, #2,545 by citations
- Large Language Models — 186 citations into it
- Multimodal Learning — 146 citations into it
- Representation & Self-Supervised Learning — 101 citations into it
- Information Retrieval & Search — 71 citations into it; #426 of 1,022 by trust here, #350 by citations
Whom Chenguang Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Kaiming He
- Jimmy Ba
- Alex Graves
- Yann LeCun
- Richard Socher
Who trusts Chenguang Zhu overall
- Mihir Kale
- Andrea Madotto
- Mingqi Gao
- Siva Reddy
- W. Yu
- Hsin-Yuan Huang
- Siqi Sun
- Christian Geishauser
- Debajyoti Chatterjee
- Shuyang Gao
Papers from Chenguang Zhu's perspective
Ordered by how strongly the researchers Chenguang Zhu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Long Short-Term Memory
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
Their papers
- An Empirical Study of Training End-to-End Vision-and-Language Transformers (2021) — 462 citations
- G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment (2023) — 2,735 citations
- Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners (2022) — 171 citations
- FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension (2017) — 187 citations
- Generate rather than Retrieve: Large Language Models are Strong Context Generators (2022) — 431 citations
- REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering (2022) — 115 citations
- Automatic Prompt Optimization with "Gradient Descent" and Beam Search (2023) — 730 citations
- Few-shot Natural Language Generation for Task-Oriented Dialog (2020) — 210 citations
- SDNet: Contextualized Attention-based Deep Network for Conversational Question Answering (2018) — 131 citations
- Enhancing Factual Consistency of Abstractive Summarization (2021) — 158 citations
- Learning to Attend On Essential Terms: An Enhanced Retriever-Reader Model for Open-domain Question Answering (2018) — 38 citations
- Want To Reduce Labeling Cost? GPT-3 Can Help (2021) — 338 citations
- SPLAT: Speech-Language Joint Pre-Training for Spoken Language Understanding (2021) — 72 citations
- A Survey of Knowledge-enhanced Text Generation (2020) — 345 citations
- Towards a Unified Multi-Dimensional Evaluator for Text Generation (2022) — 375 citations
- KG-FiD: Infusing Knowledge Graph in Fusion-in-Decoder for Open-Domain Question Answering (2021) — 112 citations
- MediaSum: A Large-scale Media Interview Dataset for Dialogue Summarization (2021) — 163 citations
- Knowledge-Augmented Methods for Natural Language Processing (2023) — 21 citations
- i-Code V2: An Autoregressive Generation Framework over Vision, Language, and Speech Data (2023) — 4 citations
- Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer (2022) — 13 citations