Haoqi Li

Click to see my name in Chinese characters.
University of Southern California
  • Email:
  • Address: 3740 McClintock Avenue,
             EEB B16,
             Los Angeles, CA

About Me

I'm a Ph.D. student at University of Southern California, working at Signal Processing for Communication Understanding and Behavior Analysis Laboratory (SCUBA) under Prof. Panayiotis Georgiou.

My research mainly focuses on Machine Learning, Behavioral Signal Processing, Speech Signal Processing and Automatic Speech Recognition.


"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

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 arXiv preprint, 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

Probability Constrained Robust Multicast Beamforming in Cognitive Radio Network

Xin Liu, Haoqi Li, Haibin Wang International Conference on Communications and Networking in China (CHINACOM), 2016 pdf | bibtex


  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.

  Journals: IEEE Signal Processing Letters,
      APSIPA Transactions on Signal and Information Processing

Last updated: Jul, 2018