Publications

You can see the complete list of my publications on my Google Scholar profile.

Journals

1. Unsupervised Speech Representation Learning for Behavior Modeling using Triplet Enhanced Contextualized Networks
   Haoqi Li, Brian Baucom, Shrikanth Narayanan, Panayiotis Georgiou.
   Computer Speech and Language, Volume 70, 2021,101226 [paper]
   bibtex

   
   article{li2021unsupervised,
        title={Unsupervised speech representation learning for behavior modeling using triplet enhanced contextualized networks},
        author={Li, Haoqi and Baucom, Brian and Narayanan, Shrikanth and Georgiou, Panayiotis},
        journal={Computer Speech \& Language},
        volume={70},
        pages={101226},
        year={2021},
        publisher={Elsevier}
   }
2. Linking emotions to behaviors through deep transfer learning
   Haoqi Li, Brian Baucom, Panayiotis Georgiou
   PeerJ Computer Science Journal 6:e246, 2020 [paper] [code]
   bibtex

   
   article{li2020linking,
        title={Linking emotions to behaviors through deep transfer learning},
        author={Li, Haoqi and Baucom, Brian and Georgiou, Panayiotis},
        journal={PeerJ Computer Science},
        volume={6},
        pages={e246},
        year={2020},
        publisher={PeerJ Inc.}
   }
3. 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) [paper]
   bibtex

   
   article{shivakumar2019learning,
        title={Learning from past mistakes: improving automatic speech recognition output via noisy-clean phrase context modeling},
        author={Shivakumar, Prashanth Gurunath and Li, Haoqi and Knight, Kevin and Georgiou, Panayiotis},
        journal={APSIPA Transactions on Signal and Information Processing},
        volume={8},
        year={2019},
        publisher={Cambridge University Press}
   }

Conferences

1. Self-Supervised Speaker Verification with Simple Siamese Network and Self-Supervised Regularization
   Mufan Sang, Haoqi Li, Fang Liu, Andrew O. Arnold, Li Wan
   ICASSP 2022 [paper]

2. Acted vs. Improvised: Domain Adaptation for Elicitation Approaches in Audio-Visual Emotion Recognition
   Haoqi Li, Yelin Kim, Cheng-Hao Kuo, Shrikanth Narayanan
   Proceedings of Interspeech (Interspeech), 2021 [paper]

3. 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 [paper]

4. 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 [paper]

5. 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 [paper]

6. 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 [paper]

7. “Honey, I Learned to Talk”: Multimodal Fusion for Behavior Analysis
   Haoqi Li^*, Shao-Yen Tseng^*, Brian Baucom, Panayiotis Georgiou
   ACM International Conference on Multimodal Interaction (ICMI), 2018 [paper]

8. 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 [paper]

9. 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 [paper]

10. 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 [paper]

Patents

1. Deep reinforcement learning framework for characterizing video content
   Ruxin Chen, Naveen Kumar, Haoqi Li
   U.S. Patent granted US10885341B2, 2021 [link]