Peng Liu
Artificial Intelligence · Science · 2009–2022
A researcher in the Science corpus: 18 papers; trusts 381 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 250 citations into it; #10,223 of 35,345 by trust here, #14,438 by citations
- Natural Language Processing — 146 citations into it
- Computer Vision and Pattern Recognition — 117 citations into it; #20,777 of 21,575 by trust here, #11,721 by citations
- Evaluation & Benchmarks — 72 citations into it
- Signal Processing — 42 citations into it; #4,632 of 7,572 by trust here, #4,560 by citations
- Computer Networks and Communications — 36 citations into it
- Safety, Robustness & Interpretability — 30 citations into it
- Information Systems — 25 citations into it; #6,195 of 8,771 by trust here, #5,303 by citations
Whom Peng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ilya Sutskever
- Yoshua Bengio
- Yann LeCun
- Alex Krizhevsky
- Chin-Yew Lin
- Kaiming He
- Ronald J. Williams
- Jimmy Ba
Who trusts Peng Liu overall
- Adair Morse
- Pengfei Liu
- David Wan
- Shuyang Cao
- Yixin Liu
- Haokui Zhang
- Yang Liu
- Dongfu Jiang
- Michael Backes
- Li Deng
Papers from Peng Liu's perspective
Ordered by how strongly the researchers Peng Liu 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- BP4D-Spontaneous: a high-resolution spontaneous 3D dynamic facial expression database (2014) — 831 citations
- Cross-lingual speech recognition under runtime resource constraints (2009) — 22 citations
- SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization (2021) — 295 citations
- How well do you know your summarization datasets? (2021) — 31 citations
- Towards a Unified Multi-Dimensional Evaluator for Text Generation (2022) — 375 citations
- Rational Herding in Microloan Markets (2012) — 883 citations
- Are Factuality Checkers Reliable? Adversarial Meta-evaluation of Factuality in Summarization (2021) — 29 citations
- DiffSinger: Diffusion Acoustic Model for Singing Voice Synthesis (2021) — 32 citations
- Learning Privately over Distributed Features: An ADMM Sharing Approach (2019) — 39 citations
- Deep Evolutionary Networks with Expedited Genetic Algorithms for Medical Image Denoising (2019) — 82 citations
- Uniqueness-Driven Saliency Analysis for Automated Lesion Detection with Applications to Retinal Diseases (2018) — 28 citations
- Elastic sketch: adaptive and fast network-wide measurements (2018) — 662 citations
- Ni2P(O)/Fe2P(O) Interface Can Boost Oxygen Evolution Electrocatalysis (2017) — 177 citations
- Using Non-invertible Data Transformations to Build Adversary-Resistant Deep Neural Networks (2016) — 10 citations
- Homogeneously dispersed multimetal oxygen-evolving catalysts (2016) — 2,069 citations
- Using Non-invertible Data Transformations to Build Adversarial-Robust Neural Networks (2016) — 10 citations
- Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis (2016) — 439 citations
- Achieving accuracy and scalability simultaneously in detecting application clones on Android markets (2014) — 316 citations