Name
Affiliation
Papers
SHILEI ZHANG
IBM Res China, Beijing 100193, Peoples R China
22
Collaborators
Citations 
PageRank 
55
57
9.81
Referers 
Referees 
References 
162
390
150
Search Limit
100390
Title
Citations
PageRank
Year
A Method to Accelerate and Visualize Iterative Clinical Paper Searching.00.342019
Few-Shot Audio Classification with Attentional Graph Neural Networks20.402019
Load balancing for multiple controllers in SDN based on switches group.10.352017
Autoencoder Regularized Network For Driving Style Representation Learning.50.442017
Targeting Self-Binding Peptides as a Novel Strategy To Regulate Protein Activity and Function: A Case Study on the Proto-oncogene Tyrosine Protein Kinase c-Src.40.482017
Emotion recognition with multimodal features and temporal models.00.342017
Service failure diagnosis in service function chain.00.342017
Video emotion recognition in the wild based on fusion of multimodal features.50.392016
Speaker Diarization System For Autism Children'S Real-Life Audio Data00.342016
Self-Binding Peptides: Folding or Binding?80.852015
Semi-Supervised Accent Detection And Modeling10.352013
Rapid feature space MLLR speaker adaptation with bilinear models00.342011
Improved Mandarin Keyword Spotting Using Confusion Garbage Model60.522010
Modeling Syllable-Based Pronunciation Variation for Accented Mandarin Speech Recognition00.342010
The 2009 Ibm Gale Mandarin Broadcast Transcription System80.862010
Automatic Pronunciation Transliteration for Chinese-English Mixed Language Keyword Spotting00.342010
Main vowel domain tone modeling with lexical and prosodic analysis for Mandarin ASR30.522009
Utterance verification using improved confidence measures based on alignment confusion rate in Chinese digits recognition20.422009
Recent advances in the IBM GALE Mandarin transcription system80.722008
Robust Target Speaker Tracking in Broadcast TV Streams00.342006
A Two-level Method for Unsupervised Speaker-based Audio Segmentation40.472006
Optimal model order selection based on regression tree in speaker identification00.342005