Lei Li
Artificial Intelligence · Knowledge Discovery and Data Mining · 2009–2023
A researcher in the Science corpus: 44 papers; trusts 1,659 researchers and is trusted by 55 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 874 citations into it; #9,342 of 35,345 by trust here, #2,350 by citations
- Computer Vision and Pattern Recognition — 557 citations into it; #4,397 of 21,575 by trust here, #2,155 by citations
- Natural Language Processing — 459 citations into it; #3,397 of 5,688 by trust here, #1,636 by citations
- Evaluation & Benchmarks — 167 citations into it
- Large Language Models — 162 citations into it
- Civil and Structural Engineering — 103 citations into it
- Model Architectures — 85 citations into it
- Representation & Self-Supervised Learning — 79 citations into it
Whom Lei Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Ilya Sutskever
- Alex Krizhevsky
- Ross B. Girshick
- Yann LeCun
- Jimmy Ba
- Alex Graves
Who trusts Lei Li overall
- Mohd Shahrimie Mohd Asaari
- Katja Hofmann
- A. Buschmann
- Massimo Minervini
- Masrour Zoghi
- Shimon Whiteson
- Wenwei Zhang
- Puneet Mishra
- Miroslav Dud'ik
- Zhiqi Li
Papers from Lei Li's perspective
Ordered by how strongly the researchers Lei Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research (2019) — 718 citations
- Sparse R-CNN: End-to-End Object Detection with Learnable Proposals (2020) — 1,499 citations
- SOLOv2: Dynamic and Fast Instance Segmentation (2020) — 1,141 citations
- SOLO: Segmenting Objects by Locations (2019) — 839 citations
- FoveaBox: Beyound Anchor-Based Object Detection (2019) — 774 citations
- Unified Visual-Semantic Embeddings: Bridging Vision and Language With Structured Meaning Representations (2019) — 199 citations
- Dynamically Fused Graph Network for Multi-hop Reasoning (2019) — 213 citations
- CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling (2018) — 211 citations
- Variational Template Machine for Data-to-Text Generation (2020) — 45 citations
- Towards Making the Most of BERT in Neural Machine Translation (2019) — 167 citations
- Generating Sentences from Disentangled Syntactic and Semantic Spaces (2019) — 122 citations
- BRITS: Bidirectional Recurrent Imputation for Time Series (2018) — 923 citations
- Generating Fluent Adversarial Examples for Natural Languages (2019) — 158 citations
- It's who you know: graph mining using recursive structural features (2011) — 282 citations
- On the Sentence Embeddings from BERT for Semantic Textual Similarity (2020) — 254 citations
- Pre-training Multilingual Neural Machine Translation by Leveraging Alignment Information (2020) — 134 citations
- MTG: A Benchmark Suite for Multilingual Text Generation (2021) — 26 citations
- Provable Robust Watermarking for AI-Generated Text (2023) — 352 citations
- Vocabulary Learning via Optimal Transport for Neural Machine Translation (2020) — 104 citations
- A Survey on In-context Learning (2022) — 1,101 citations