2025 (5)
1. Kristin Qi, Jiatong Shi, Caroline Summerour, John A. Batsis, and Xiaohui Liang, Cog-TiPRO: Iterative Prompt Refinement with LLMs to Detect Cognitive Decline via Longitudinal Voice Assistant Commands, IEEE Global Communications Conference (Globecom), 2025.
2. Kristin Qi, Jiali Cheng, Youxiang Zhu, Hadi Amiri, Xiaohui Liang, Unveil Multi-Picture Descriptions for Multilingual Mild Cognitive Impairment Detection via Contrastive Learning, IEEE Global Communications Conference (Globecom), 2025.
3. Kristin Qi, Youxiang Zhu, Caroline Summerour, John A. Batsis, and Xiaohui Liang, Early Detection of Mild Cognitive Impairment Through Voice Assistant Interactions: An LLM-Driven Approach, the New England NLP (NENLP) workshop, 2025.
4. Kristin Qi, Youxiang Zhu, Xiaohui Liang, Enhancing Perspective-Aware Summarization with Prompt Optimization and Supervised Fine-Tuning, CL4Health workshop at Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL), 2025.
5. Youxiang Zhu, Ruochen Li, Danqing Wang, Daniel Haehn, Xiaohui Liang, Focus Directions Make Your Language Models Pay More Attention to Relevant Contexts, the New England NLP (NENLP) workshop, 2025.
2024 (7)
6. Youxiang Zhu, Nana Lin, Kiran Sandilya Balivada, Daniel Haehn, and Xiaohui Liang, Adversarial Text Generation using Large Language Models for Dementia Detection, The 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2024.
7. Nana Lin, Youxiang Zhu, Xiaohui Liang, Caroline E. Summerour, John A. Batsis, Analyzing Multimodal Features of Spontaneous Voice Assistant Commands for Mild Cognitive Impairment Detection, Conference of the International Speech Communication Association (INTERSPEECH), 2024
8. Kristin Qi, Jiatong Shi, Caroline Summerour, John A. Batsis, and Xiaohui Liang, Exploiting Longitudinal Speech Sessions via Voice Assistant Systems for Early Detection of Cognitive Decline, IEEE International Conference on E-health Networking, Application \& Services (Healthcom), 2024
9. Kristin Qi and Xiaohui Liang, Exploiting Longitudinal Speech Data via Voice Assistant Systems for Early Detection of Cognitive Decline, the 19th Workshop for Women in Machine Learning (WiML), with NeurIPS, 2024.
10. Youxiang Zhu, Ning Gao, Xiaohui Liang, and Honggang Zhang, Exploiting Privacy Preserving Prompt Techniques for Online Large Language Model Usage, IEEE Global Communications Conference (GLOBECOM), 2024.
11. Roba Alsaigh, Rashid Mehmood, Iyad Katib, Xiaohui Liang, Abdullah Alshanqiti, Juan M. Corchado, and Simon See, Harmonizing AI governance regulations and neuroinformatics: perspectives on privacy and data sharing, Frontiers in Neuroinformatics, 18 (2024): 1472653.
12. Rahi R. Shah, Claudia C. Dixon, Michael J. Fowler, Tiffany M. Driesse, Xiaohui Liang, Caroline E. Summerour, Danae C. Gross, Hillary B. Spangler, David H. Lynch, and John A. Batsis, Using Voice Assistant Systems to Improve Dietary Recall Among Older Adults: Perspectives of Registered Dietitians, Journal of Nutrition in Gerontology and Geriatrics, Volume 43, Issue 1, 2024.
2023 (6)
13. Eli Kurtz, Youxiang Zhu, Tiffany Driesse, Bang Tran, John A. Batsis, Robert M. Roth, and Xiaohui Liang, Early Detection of Cognitive Decline using Voice Assistant Commands, IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 2023.
14. Youxiang Zhu, Nana Lin, Xiaohui Liang, John A. Batsis, Robert M. Roth, Brian MacWhinney, Evaluating Picture Description Speech for Dementia Detection using Image-text Alignment, Multimodal KDD 2023: International Workshop on Multimodal Learning, 2023. An extended version has been submitted to ACM Transactions on Computing for Healthcare.
15. Bang Tran, Sai Harshavardhan Reddy Kona, Xiaohui Liang, Gabriel Ghinita, Caroline Summerour, and John A. Batsis, VPASS: Voice Privacy Assistant System for Monitoring In-home Voice Commands, 20th International Conference on Privacy, Security, and Trust (PST), 2023.
16. (Poster) Bang Tran, Xiaohui Liang, Gabriel Ghinita, Caroline Summerour, and John A. Batsis, Voice Privacy Assistant for Monitoring In-home Voice Commands, Nineteenth Symposium on Usable Privacy and Security (SOUPS), 2023.
17. Hillary B. Spangler, Tiffany M. Driesse, Michael J. Fowler, David H. Lynch, Xiaohui Liang, Danae C. Gross, Curtis Petersen, and John A. Batsis, Feasibility of using the Automated Self-Administered 24-hour (ASA-24) Dietary Assessment Tool in Older Adults, Digital Health, 2023
18. Bang Tran, Youxiang Zhu, James W. Schwoebel, and Xiaohui Liang, Exploiting Relevance of Speech to Sleepiness Detection via Attention Mechanism, IEEE International Conference on Communications (ICC), 2023.
2022 (7)
19. Youxiang Zhu, Xiaohui Liang, John A. Batsis, and Robert M. Roth, Domain-aware Intermediate Pretraining for Dementia Detection with Limited Data, Conference of the International Speech Communication Association (INTERSPEECH) 2022.
20. Youxiang Zhu, Bang Tran, Xiaohui Liang, John A. Batsis, and Robert M. Roth, Towards Interpretability of Speech Pause in Dementia Detection using Adversarial Learning, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022.
21. Youxiang Zhu and Xiaohui Liang, More Data, Better Accuracy? An Empirical Study on Few-shot Speech-based Dementia Detection, Southern California Natural Language Processing Symposium (SoCal), 2022
22. (Poster) Tiffany M. Driesse, Xiaohui Liang, Robert M. Roth, and John A. Batsis, Older Adults Experiences and Responses to Voice Assistant Systems, American Geriatrics Society (AGS) annual meeting, 2022. Best Poster Award in the category of Geriatric Syndromes (descriptive research on the mechanisms, natural history or management of major geriatric syndromes.
23. Hillary B. Spangler, Tiffany M. Driesse, David H. Lynch, Xiaohui Liang, Robert M. Roth, David Kotz, Karen Fortuna, and John A Batsis, Privacy Concerns of Older Adults Using Voice Assistant Systems, Journal of the American Geriatrics Society, 70(12), 2022.
24. Xiaohui Liang, John A. Batsis, Jing Yuan, Youxiang Zhu, Tiffany M. Driesse, and Josh Schultz, Voice-assisted Food Recall using Voice Assistants, International Conference on Human-Computer Interaction (HCII), 2022.
25. Tiffany M. Driesse, Xiaohui Liang, Michael Fowler, Jing Yuan, and John A. Batsis, Patient Perceptions of Using Voice-Based Dietary Assessment Tools Among Older Adults, Gerontological Scientific Association Conference, 2022
26. Bang Tran, Youxiang Zhu, Xiaohui Liang, James W. Schwoebel, Lindsay A. Warrenburg, Speech Tasks Relevant to Sleepiness Determined with Deep Transfer Learning, IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP) 2022.
2021 (5)
27. Xiaohui Liang, John Batsis, Youxiang Zhu, Tiffany Driesse, Robert Roth, David Kotz, and Brian MacWhinney, Evaluating Voice-Assistant Commands for Dementia Detection, Elsevier Computer Speech and Language Special Issue on Speech Based Evaluation of Neurological Diseases, 2021.
28. Youxiang Zhu, Abdelrahman Obyat, Xiaohui Liang, John Batsis, and Robert Roth, WavBERT: Exploiting Semantic and Non-semantic Speech using Wav2vec and BERT for Dementia Detection, Conference of the International Speech Communication Association (INTERSPEECH), 2021.
29. Youxiang Zhu, Xiaohui Liang, John Batsis, and Robert Roth, Exploring Deep Transfer Learning Techniques for Alzheimer’s Dementia Detection, Frontiers in Computer Science Special Issue on Alzheimer’s Dementia Recognition through Spontaneous Speech, 2021.
30. Hillary Spangler, Tiffany Driesse, Robert Roth, Xiaohui Liang, John Batsis, and David Kotz, Privacy Concerns Among Older Adults Using Voice Assistant Systems, Gerontological Scientific Association conference, 2021.
31. Bang Tran, Shenhui Pan, Xiaohui Liang, and Honggang Zhang, Exploiting Physical Presence Sensing to Secure Voice Assistant Systems. IEEE International Conference on Communications (ICC), 2021, Best Paper Award, 15/1881.
2020 (3)
32. Youxiang Zhu and Xiaohui Liang, Exploiting Fully Convolutional Network and Visualization Techniques on Spontaneous Speech for Dementia Detection, arXiv preprint arXiv:2008.07052 (2020).
33. Thamer Altuwaiyan, Mohammad Hadian, Samuel Rubel, and Xiaohui Liang, Exploiting Privacy-preserving Voice Query in Healthcare-based Voice Assistant System, IEEE International Conference on Communications (ICC), 2020.
34. Bang Tran and Xiaohui Liang, Exploiting Peer-to-peer Communications for Query Privacy Preservation in Voice Assistant Systems, Peer-to-Peer Networking and Applications, Springer, 2020.
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