Ming Li

Artificial Intelligence · Pattern Recognition Letters · 2000–2020

A researcher in the Science corpus: 23 papers; trusts 237 researchers and is trusted by 44 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 108 citations into it; #7,535 of 35,345 by trust here, #10,430 by citations
• Computer Vision and Pattern Recognition — 83 citations into it; #10,291 of 21,575 by trust here, #3,786 by citations
• Signal Processing — 82 citations into it; #1,026 of 7,572 by trust here, #443 by citations
• Materials Chemistry — 39 citations into it
• Biomedical Engineering — 34 citations into it
• Electrical and Electronic Engineering — 32 citations into it
• Speech & Audio — 21 citations into it; #421 of 1,076 by trust here, #783 by citations
• Representation & Self-Supervised Learning — 19 citations into it

Whom Ming Li trusts overall

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

1. Andreas Stolcke
2. Patrick Kenny
3. Najim Dehak
4. Douglas A. Reynolds
5. Hynek Hermansky
6. William M. Campbell
7. Baback Moghaddam
8. Simon J. D. Prince
9. Yun Lei
10. Andrew O. Hatch

Who trusts Ming Li overall

1. Weicheng Cai
2. Rabia Jafri
3. Jian Zhang
4. Joon Son Chung
5. Arsha Nagrani
6. Jinkun Chen
7. Weiyang Liu
8. Lutz Büch
9. Hamid Reza Arabnia
10. Gang Zhao

Papers from Ming Li's perspective

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

1. ImageNet classification with deep convolutional neural networks
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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• SphereFace: Deep Hypersphere Embedding for Face Recognition (2017) — 3,098 citations
• A Novel Learnable Dictionary Encoding Layer for End-to-End Language Identification (2018) — 79 citations
• 2D-LDA: A statistical linear discriminant analysis for image matrix (2005) — 706 citations
• Exploring the Encoding Layer and Loss Function in End-to-End Speaker and Language Recognition System (2018) — 356 citations
• NONCODEv4: exploring the world of long non-coding RNA genes (2013) — 407 citations
• Size effects on the band-gap of semiconductor compounds (2006) — 138 citations
• The Relation between Parenting Stress and Child Behavior Problems: Negative Parenting Styles as Mediator (2020) — 137 citations
• DeepChain: Auditable and Privacy-Preserving Deep Learning with Blockchain-Based Incentive (2019) — 567 citations
• Supervised Deep Features for Software Functional Clone Detection by Exploiting Lexical and Syntactical Information in Source Code (2017) — 316 citations
• Variational mode decomposition denoising combined the detrended fluctuation analysis (2016) — 309 citations
• Alternate or equal ridge-furrow pattern: which is better for maize production in the rain-fed semi-arid Loess Plateau of China? (2016) — 68 citations
• Generalized I-vector Representation with Phonetic Tokenizations and Tandem Features for both Text Independent and Text Dependent Speaker Verification (2015) — 21 citations
• Forecasting Fine-Grained Air Quality Based on Big Data (2015) — 519 citations
• A review of microfabrication techniques and dielectrophoretic microdevices for particle manipulation and separation (2014) — 210 citations
• A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios (2014) — 348 citations
• Speaker verification and spoken language identification using a generalized i-vector framework with phonetic tokenizations and tandem features (2014) — 29 citations
• Nature GeNetics ADVANCE ONLINE PUBLICATION Whole-genome sequencing of the snub-nosed monkey provides insights into folivory and evolutionary history (2014) — 112 citations
• Extrinsic origins of the apparent relaxorlike behavior in CaCu3Ti4O12 ceramics at high temperatures: A cautionary tale (2011) — 191 citations
• Incremental local online Gaussian Mixture Regression for imitation learning of multiple tasks (2010) — 92 citations
• Relaxor ferroelectric-like high effective permittivity in leaky dielectrics/oxide semiconductors induced by electrode effects: A case study of CuO ceramics (2009) — 133 citations