Jipeng Zhang
Artificial Intelligence · with Wang · 2019–2023
A researcher in the Science corpus: 8 papers; trusts 115 researchers and is trusted by 23 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 204 citations into it; #8,593 of 35,345 by trust here, #6,517 by citations
- Natural Language Processing — 143 citations into it; #1,945 of 5,688 by trust here, #2,069 by citations
- Computer Vision and Pattern Recognition — 44 citations into it; #18,901 of 21,575 by trust here, #11,721 by citations
- Information Systems — 43 citations into it; #7,747 of 8,771 by trust here, #5,501 by citations
- Computational Theory and Mathematics — 18 citations into it
- Model Architectures — 12 citations into it; #1,950 of 2,278 by trust here, #1,749 by citations
- Optimization & Training — 7 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Jipeng Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Lei Wang
- Subhro Roy
- Rik Koncel-Kedziorski
- Yan Wang
- Geoffrey E. Hinton
- Shuming Shi
- Diederik P. Kingma
- Yoshua Bengio
- Ashish Vaswani
- Ilya Sutskever
Who trusts Jipeng Zhang overall
- Zhenwen Liang
- Iddo Drori
- Zhanming Jie
- Xiangliang Zhang
- Qinzhuo Wu
- Yihuai Lan
- Jierui Li
- Lei Wang
- Donggeon Lee
- Xin Lin
Papers from Jipeng Zhang's perspective
Ordered by how strongly the researchers Jipeng Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Long Short-Term Memory
- ImageNet classification with deep convolutional neural networks
- 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
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
Their papers
- RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment (2023) — 752 citations
- Template-Based Math Word Problem Solvers with Recursive Neural Networks (2019) — 168 citations
- LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models (2023) — 82 citations
- Execution-based Evaluation for Data Science Code Generation Models (2022) — 43 citations
- MWP-BERT: A Strong Baseline for Math Word Problems (2021) — 42 citations
- Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem (2020) — 72 citations
- Graph-to-Tree Learning for Solving Math Word Problems (2020) — 213 citations
- Modeling Intra-Relation in Math Word Problems with Different Functional Multi-Head Attentions (2019) — 109 citations