Peng Liu
Artificial Intelligence · IEEE Internet of Things Journal · 2003–2021
A researcher in the Science corpus: 14 papers; trusts 46 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 129 citations into it; #34,981 of 35,345 by trust here, #11,327 by citations
- Signal Processing — 75 citations into it
- Computer Vision and Pattern Recognition — 66 citations into it
- Speech & Audio — 63 citations into it
- Generative Models — 35 citations into it
- Probabilistic & Bayesian Methods — 6 citations into it
Whom Peng Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Graves
- Aäron van den Oord
- Geoffrey E. Hinton
- Yoshua Bengio
- Oriol Vinyals
- Sepp Hochreiter
- Alex Krizhevsky
- Ilya Sutskever
- J. Urgen Schmidhuber
Who trusts Peng Liu overall
- Xu Tan
- Sankardas Roy
- Zhaoxi Mu
- Songxiang Liu
- S. Kotsiantis
- Ekim Yurtsever
- Heeseung Kim
- Tao Qin
- Zhengping Che
- Frank K. Soong
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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Neural Machine Translation by Jointly Learning to Align and Translate (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- DurIAN: Duration Informed Attention Network For Multimodal Synthesis (2019) — 119 citations
- Cross‐Stacked Superaligned Carbon Nanotube Films for Transparent and Stretchable Conductors (2011) — 165 citations
- Magnetically Motive Porous Sphere Composite and Its Excellent Properties for the Removal of Pollutants in Water by Adsorption and Desorption Cycles (2006) — 154 citations
- VARA-TTS: Non-Autoregressive Text-to-Speech Synthesis based on Very Deep VAE with Residual Attention (2021) — 24 citations
- Code-Switched Speech Synthesis Using Bilingual Phonetic Posteriorgram with Only Monolingual Corpora (2020) — 22 citations
- DurIAN: Duration Informed Attention Network for Speech Synthesis (2020) — 80 citations
- 3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics (2020) — 472 citations
- Maximizing Mutual Information for Tacotron (2019) — 16 citations
- The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved (2018) — 440 citations
- RoboADS: Anomaly Detection Against Sensor and Actuator Misbehaviors in Mobile Robots (2018) — 46 citations
- What makes a material printable? A viscoelastic model for extrusion-based 3D printing of polymers (2018) — 297 citations
- Classification of Highway Lane Change Behavior to Detect Dangerous Cut-in Maneuvers (2015)
- R-C4.5 decision tree model and its applications to health care dataset (2005) — 68 citations
- Incentive-based modeling and inference of attacker intent, objectives, and strategies (2003) — 296 citations