Chun Xia

Information Systems · 2022–2024

A researcher in the Science corpus: 7 papers; trusts 204 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

• Information Systems — 142 citations into it; #1,852 of 8,771 by trust here, #2,471 by citations
• Artificial Intelligence — 125 citations into it
• Software — 124 citations into it; #249 of 1,227 by trust here, #281 by citations
• Natural Language Processing — 84 citations into it
• Large Language Models — 63 citations into it
• Code Generation & Program Synthesis — 45 citations into it
• Evaluation & Benchmarks — 31 citations into it
• Signal Processing — 22 citations into it

Whom Chun Xia trusts overall

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

1. Ilya Sutskever
2. Geoffrey E. Hinton
3. Yoshua Bengio
4. Diederik P. Kingma
5. Oriol Vinyals
6. Alex Krizhevsky
7. Alec Radford
8. Alex Graves
9. Yann LeCun
10. Lingming Zhang

Who trusts Chun Xia overall

1. Yinlin Deng
2. Lingming Zhang
3. Jiawei Liu
4. Adam Suma
5. Angela Fan
6. Soren Dunn
7. Haoran Peng
8. Terry Yue Zhuo
9. Chenyuan Yang
10. Shizhuo Dylan Zhang

Papers from Chun Xia's perspective

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

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

Their papers

• Agentless: Demystifying LLM-based Software Engineering Agents (2024) — 421 citations
• Fuzz4ALL: Universal Fuzzing with Large Language Models (2023) — 326 citations
• Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation (2023) — 1,966 citations
• Automated Program Repair via Conversation: Fixing 162 out of 337 Bugs for $0.42 Each using ChatGPT (2023) — 348 citations
• Automated Program Repair in the Era of Large Pre-trained Language Models (2022) — 380 citations
• Large Language Models Are Zero-Shot Fuzzers: Fuzzing Deep-Learning Libraries via Large Language Models (2022) — 383 citations
• Less training, more repairing please: revisiting automated program repair via zero-shot learning (2022) — 298 citations