Haoqi Li

Click to see my name in Chinese characters.
University of Southern California
  • Email:
  • Address: 3740 McClintock Avenue,
             EEB 405,
             Los Angeles, CA

About Me

I am a PhD candidate in the Electrical and Computer Engineering Department at University of Southern California, working at Signal Analysis and Interpretation Laboratory (SAIL) under Prof. Shrikanth Narayanan and Prof. Panayiotis Georgiou

I work on understanding and quantification of human emotions and behaviors from speech, language and vision through deep learning techniques.

My research interests include Machine/Deep Learning, Behavioral Signal Processing, Speech Signal Processing, Affective Computing, Natural Language Processing and Speech Recognition.

Publications

Journals

Linking emotions to behaviors through deep transfer learning

Haoqi Li, Brian Baucom, Panayiotis Georgiou PeerJ Computer Science Journal 6:e246, 2020 pdf | bibtex

Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized Networks

Haoqi Li, Brian Baucom, Shrikanth Narayanan, Panayiotis Georgiou. Submitted to Computer Speech and Language pdf | bibtex

Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling

Prashanth Gurunath Shivakumar, Haoqi Li, Kevin Knight, and Panayiotis Georgiou APSIPA Transactions on Signal and Information Processing 8 (2019) pdf | bibtex

Conferences

Speaker-invariant Affective Representation Learning via Adversarial Training

Haoqi Li, Ming Tu, Jing Huang, Shrikanth Narayanan, Panayiotis Georgiou IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 pdf | bibtex

Automatic prediction of suicidal risk in military couples using multimodal interaction cues from couples conversations

Sandeep Nallan Chakravarthula, Md Nasir, Shao-Yen Tseng, Haoqi Li, Tae Jin Park, Brian Baucom, Craig J Bryan, Shrikanth Narayanan, Panayiotis Georgiou IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 pdf | bibtex

An empirical analysis of information encoded in disentangled neural speaker representations

Raghuveer Peri, Haoqi Li, Krishna Somandepalli, Arindam Jati, Shrikanth Narayanan Odyssey: The Speaker and Language Recognition Workshop, 2020. (Odyssey), 2020 pdf | bibtex

Predicting Behavior in Cancer-Afflicted Patient and Spouse Interactions using Speech and Language

Haoqi Li*, Sandeep Nallan Chakravarthula*, Shao-Yen Tseng, Maija Reblin, Panayiotis Georgiou Proceedings of Interspeech (Interspeech), 2019 pdf | bibtex

"Honey, I Learned to Talk": Multimodal Fusion for Behavior

Haoqi Li*, Shao-Yen Tseng*, Brian Baucom, Panayiotis Georgiou ACM International Conference on Multimodal Interaction (ICMI), 2018 pdf | bibtex

A Deep Reinforcement Learning Framework for Identifying Funny Scenes in Movies

Haoqi Li, Naveen Kumar, Ruxin Chen, Panayiotis Georgiou IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018 pdf | bibtex

Unsupervised Latent Behavior Manifold Learning from Acoustic Features: audio2behavior

Haoqi Li, Brian Baucom and Panayiotis Georgiou IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2017 pdf | bibtex

Sparsely Connected and Disjointly Trained Deep Neural Networks for Low Resource Behavioral Annotation: Acoustic Classification in Couples’ Therapy

Haoqi Li, Brian Baucom and Panayiotis Georgiou Proceedings of Interspeech (Interspeech), 2016 pdf | bibtex

Experience

Internships:
  Applied Scientist Intern@Amazon 126 Lab, Summer 2020, Sunnyvale
  JD AI Research@JD.com, Summer 2018, Mountain View
  Acoustic Analysis Research Group @Playstation, SONY, Summer 2017, San Mateo

Teaching Assistant:
  USC EE503 Probability for Electrical and Computer Engineers, Spring 2018.
  Instructor: Prof. Vijay Kumar
  USC EE 660: Machine Learning from Signals: Foundations and Methods, Fall 2019
  Instructor: Prof. Keith Jenkins

Reviewer:
  ICASSP 2020
  IEEE Transactions on Affective Computing
  IEEE Transactions on Multimedia
  IEEE Signal Processing Letters
  APSIPA Transactions on Signal and Information Processing
  EURASIP Journal on Audio, Speech, and Music Processing

Last updated: May, 2020