Zhi Jin

Artificial Intelligence · 2014–2024

A researcher in the Science corpus: 21 papers; trusts 392 researchers and is trusted by 57 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 334 citations into it; #4,501 of 35,345 by trust here, #2,646 by citations
• Natural Language Processing — 252 citations into it; #1,364 of 5,688 by trust here, #826 by citations
• Information Systems — 147 citations into it; #817 of 8,771 by trust here, #312 by citations
• Computer Vision and Pattern Recognition — 98 citations into it; #15,186 of 21,575 by trust here, #9,079 by citations
• Software — 79 citations into it; #372 of 1,227 by trust here, #54 by citations
• Code Generation & Program Synthesis — 72 citations into it; #19 of 220 by trust here, #9 by citations
• Large Language Models — 68 citations into it; #649 of 799 by trust here, #715 by citations
• Model Architectures — 59 citations into it; #1,901 of 2,278 by trust here, #1,246 by citations

Whom Zhi Jin trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Diederik P. Kingma
5. Richard Socher
6. Alex Krizhevsky
7. Tomas Mikolov
8. Yann LeCun
9. Sepp Hochreiter
10. Oriol Vinyals

Who trusts Zhi Jin overall

1. Lili Mou
2. Ge Li
3. Xi Victoria Lin
4. Qian Chen
5. Wasi Uddin Ahmad
6. Daya Guo
7. Saikat Chakraborty
8. Yichen Xu
9. Xiaodong Gu
10. Ziyu Yao

Papers from Zhi Jin's perspective

Ordered by how strongly the researchers Zhi Jin trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
9. Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers

• Natural Language Inference by Tree-Based Convolution and Heuristic Matching (2015) — 368 citations
• How Transferable are Neural Networks in NLP Applications? (2016) — 305 citations
• On End-to-End Program Generation from User Intention by Deep Neural Networks (2015) — 48 citations
• Convolutional Neural Networks over Tree Structures for Programming Language Processing (2014) — 843 citations
• Discriminative Neural Sentence Modeling by Tree-Based Convolution (2015) — 127 citations
• Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths (2015) — 691 citations
• Deep Code Comment Generation (2018) — 791 citations
• Self-Edit: Fault-Aware Code Editor for Code Generation (2023) — 184 citations
• CodeAgent: Enhancing Code Generation with Tool-Integrated Agent Systems for Real-World Repo-level Coding Challenges (2024) — 342 citations
• Structured Chain-of-Thought Prompting for Code Generation (2023) — 358 citations
• Self-Collaboration Code Generation via ChatGPT (2023) — 528 citations
• Integrating Tree Path in Transformer for Code Representation (2021) — 54 citations
• Multi-task Learning based Pre-trained Language Model for Code Completion (2020) — 236 citations
• Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree (2020) — 325 citations
• Code Generation as a Dual Task of Code Summarization (2019) — 241 citations
• Summarizing Source Code with Transferred API Knowledge (2018) — 339 citations
• CodeSum: Translate Program Language to Natural Language (2017) — 14 citations
• Coupling Distributed and Symbolic Execution for Natural Language Queries (2016) — 43 citations
• Distilling Word Embeddings: An Encoding Approach (2015) — 28 citations
• A Comparative Study on Regularization Strategies for Embedding-based Neural Networks (2015) — 29 citations