Pinjia He

Artificial Intelligence · 2016–2023

A researcher in the Science corpus: 6 papers; trusts 38 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 69 citations into it; #30,595 of 35,345 by trust here, #20,377 by citations
• Information Systems — 51 citations into it; #4,222 of 8,771 by trust here, #4,885 by citations
• Computer Networks and Communications — 46 citations into it; #3,967 of 9,886 by trust here, #3,993 by citations
• Software — 37 citations into it
• Natural Language Processing — 13 citations into it
• Signal Processing — 12 citations into it
• Management Science and Operations Research — 7 citations into it
• Code Generation & Program Synthesis — 6 citations into it

Whom Pinjia He trusts overall

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

1. Adam J. Oliner
2. Ray R. Larson
3. Gerard A. Salton
4. Min Du
5. L. Eon Bottou
6. Risto Vaarandi
7. Yann LeCun
8. Jian-Guang Lou
9. Diederik P. Kingma
10. Qiang Fu

Who trusts Pinjia He overall

1. Van-Hoang Le
2. Haixuan Guo
3. Shilin He
4. Hongyu Zhang
5. Shuhan Yuan
6. Xintao Wu
7. Thibaud Lutellier

Papers from Pinjia He's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• GPT-4 Is Too Smart To Be Safe: Stealthy Chat with LLMs via Cipher (2023) — 478 citations
• A Survey on Automated Log Analysis for Reliability Engineering (2020) — 383 citations
• Tools and Benchmarks for Automated Log Parsing (2018) — 528 citations
• Drain: An Online Log Parsing Approach with Fixed Depth Tree (2017) — 961 citations
• Software Defect Prediction via Convolutional Neural Network (2017) — 406 citations
• Experience Report: System Log Analysis for Anomaly Detection (2016) — 589 citations