Yang Zhang

Ph.D. Candidate

University of Illinois, Urbana-Champaign

Department of Electrical and Computer Engineering

Email:  yzhan143@illinois.edu

Advisor:  Prof. Mark Hasegawa-Johnson (webpage)

Research Interests

  • Speech and Signal Processing
  • Data Mining
  • Generative Models
  • Bayesian Framework



  • University of Illinois, Urbana Champaign   USA
    Department of Electrical and Computer Engineering
    Master of Science; Ph.D. Candidate

  • Tsinghua University   Beijing, China
    Department of Electronic Engineering
    Bachelor of Engineering

  • Hong Kong University   Hong Kong, China
    Department of Electronic and Communication Engineering
    Exchange Student



  • Generative Models for Speech
    • Ruobai Wang, Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson, “Use of particle filtering and MCMC for inference in probabilistic acoustic tube model”, IEEE Statistical Signal Processing (SSP). 2016

    • Yang Zhang, Gautham J. Mysore, Floraine Berthouzoz, Mark Hasegawa-Johnson, “Analysis of Prosody Increment Induced by Pitch Accents for Automatic Emphasis Correction”, Speech Prosody. 2016

    • Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson, “Incorporating AM-FM effect in voiced speech for probabilistic acoustic tube model” IEEE Workshop on Applications of Signal Processing to Audio and Acoustics. 2015

    • Yang Zhang, Zhijian Ou, Mark Hasegawa-Johnson, “Improvement of PAT model for speech decomposition.” International Conference on Acoustic, Speech and Signal Processing (ICASSP). 2014

    • Zhijian Ou, and Yang Zhang. "Probabilistic acoustic tube: a probabilistic generative model of speech for speech analysis/synthesis." International Conference on Artificial Intelligence and Statistics (AISTATS). 2012
  • Streaming Data Mining with Generative Models
    • Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Thomas S. Huang, “Streaming Recommender Systems”, submitted to ACM International Workshop on Data Mining (WSDM). 2017

    • Shiyu Chang*, Yang Zhang*, Jiliang Tang, Dawei Yin, Yi Chang, Mark Hasegawa-Johnson, Thomas S. Huang, “Positive Unlabeled Learning in Streaming Networks”, ACM SIGKDD. 2016
  • Signal Processing with Generative Models
    • Yang Zhang, Dinei Florencio, Mark Hasegawa-Johnson, “Speech Beamforming without Position and Interference Calibration: a Model-based Approach with Ad-hoc Microphone Array, submitted to International Conference on Acoustic, Speech and Signal Processing (ICASSP). 2017

    • Yang Zhang, Nasser M. Nasrabadi, Mark Hasegawa-Johnson, “Multichannel transient acoustic signal classification using task-driven dictionary with joint sparsity and beamforming” International Conference on Acoustic, Speech and Signal Processing (ICASSP). 2015
  • Other Speech Related Research
    • Mark Hasegawa-Johnson; Thomas Huang; William Schuh; Renato Azevedo; Kuangxiao Gu; Yang Zhang; Bidisha Roy; Rocio Garcia-Retamero, “A Multidisciplinary Approach to Designing and Evaluating Electronic Medical Record Portal Messages that Support Patient Self-Care", submitted to Journal of Biological Informatics.

    • Kaizhi Qian, Yang Zhang, Mark Hasegawa-Johnson, “Acoustic Feature Extraction by Statistics Based Local Binary Pattern for Landmark Detection”, Speech Prosody. 2016

    • Xiayu Chen, Yang Zhang, Mark Hasegawa-Johnson, “An iterative approach to decision tree construction for context-dependent speech synthesis” Interspeech. 2014.



  • Yang Zhang, Mysore J. Gautham, Floraine Berthouzoz, “Automatic Emphasis of Spoken Words”, US Patent No. P5688US01/ADBS.241185. 2015


Industry Experience

  • Microsoft Research   Redmond, USA
    Research Intern
    Project: Beamforming with Heterogeneous Ad-Hoc Microphone Array

  • Adobe Creative Technology Lab   San Francisco, USA
    Research Intern
    Project: Automatic Emphasis Correction for Better Voiceover Quality

  • Logo's Care, Inc.
    Technology Consultant
    Project: Heartrate Tracking under Adverse SNR


Teaching Experience

  • Digital Communication (ECE 361), Teaching Assistant, Spring 2016
  • Pattern Recognition (ECE 544), Teaching Assistant, Fall 2014



  • 2013 Qualcomm Innovative Fellowship Finalist
  • 2012 Tsinghua Outstanding Thesis
  • 2011 Tsinghua Outstanding Academic Schlarship
  • 2008 Tsinghua Freshman Schlarship