Tiantian Feng

@article{feng2025voxlect,
  title = {Voxlect: A Speech Foundation Model Benchmark for Modeling Dialects and Regional Languages Around the Globe},
  author = {Feng, Tiantian and Huang, Kevin and Xu, Anfeng and Shi, Xuan and Lertpetchpun, Thanathai and Lee, Jihwan and Lee, Yoonjeong and Byrd, Dani and Narayanan, Shrikanth},
  journal = {Accepted to 2026 KDD Dataset and Benchmark Track},
  year = {2026},
  abbr2 = {Benchmark},
}

@inproceedings{feng2023fedmultimodal,
  title = {FedMultimodal: A Benchmark for Multimodal Federated Learning},
  author = {Feng, Tiantian and Bose, Digbalay and Zhang, Tuo and Hebbar, Rajat and Ramakrishna, Anil and Gupta, Rahul and Zhang, Mi and Avestimehr, Salman and Narayanan, Shrikanth},
  booktitle = {2023 KDD},
  pages = {4035--4045},
  year = {2023},
  abbr2 = {Benchmark},
}

@article{feng2026voxcog,
  title = {VoxCog: Towards End-to-End Multilingual Cognitive Impairment Classification through Dialectal Knowledge},
  author = {Feng, Tiantian and Xu, Anfeng and Lee, Jinkook and Narayanan, Shrikanth},
  journal = {Under review},
  year = {2026},
  abbr2 = {Speech AI},
}

@article{feng2025vox,
  title = {Vox-Profile: A Speech Foundation Model Benchmark for Characterizing Diverse Speaker and Speech Traits},
  author = {Feng, Tiantian and Lee, Jihwan and Xu, Anfeng and Lee, Yoonjeong and Lertpetchpun, Thanathai and Shi, Xuan and Wang, Helin and Thebaud, Thomas and Moro-Velazquez, Laureano and Byrd, Dani and others},
  journal = {Under review},
  year = {2025},
  abbr2 = {Benchmark},
}

@article{feng2025tiles,
  title = {TILES-2018 Sleep Benchmark Dataset: A Longitudinal Wearable Sleep Data Set of Hospital Workers for Modeling and Understanding Sleep Behaviors},
  author = {Feng, Tiantian and Booth, Brandon M and Mundnich, Karel and Zhou, Emily and Girault, Benjamin and Lerman, Kristina and Narayanan, Shrikanth},
  journal = {Under Review},
  year = {2025},
  abbr2 = {Digital Health},
}

@article{mundnich2020tiles,
  title = {TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers},
  author = {Mundnich, Karel and Booth, Brandon M and l'Hommedieu, Michelle and Feng, Tiantian and Girault, Benjamin and L'hommedieu, Justin and Wildman, Mackenzie and Skaaden, Sophia and Nadarajan, Amrutha and Villatte, Jennifer L and others},
  journal = {Scientific Data},
  volume = {7},
  number = {1},
  pages = {354},
  year = {2020},
  publisher = {Scientific Data - Nature Publishing Group UK London},
  abbr2 = {Digital Health},
}

@article{yau2022tiles,
  title = {TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit},
  author = {Yau, Joanna C and Girault, Benjamin and Feng, Tiantian and Mundnich, Karel and Nadarajan, Amrutha and Booth, Brandon M and Ferrara, Emilio and Lerman, Kristina and Hsieh, Eric and Narayanan, Shrikanth},
  journal = {Scientific Data},
  volume = {9},
  number = {1},
  pages = {536},
  year = {2022},
  publisher = {Scientific Data - Nature Publishing Group UK London},
  abbr2 = {Digital Health},
}

@inproceedings{feng25_interspeech,
  title = {{Developing a Top-tier Framework in Naturalistic Conditions Challenge for Categorized Emotion Prediction: From Speech Foundation Models and Learning Objective to Data Augmentation and Engineering Choices}},
  author = {Feng, Tiantian and Lertpetchpun, Thanathai and Byrd, Dani and Narayanan, Shrikanth},
  year = {2025},
  booktitle = {{Interspeech 2025}},
  pages = {4643--4647},
  doi = {10.21437/Interspeech.2025-1163},
  issn = {2958-1796},
  abbr2 = {Speech Emotion},
}

@inproceedings{feng25b_interspeech,
  title = {{Egocentric Speaker Classification in Child-Adult Dyadic Interactions: From Sensing to Computational Modeling}},
  author = {Feng, Tiantian and Xu, Anfeng and Shi, Xuan and Bishop, Somer and Narayanan, Shrikanth},
  year = {2025},
  booktitle = {{Interspeech 2025}},
  pages = {2835--2839},
  doi = {10.21437/Interspeech.2025-1216},
  issn = {2958-1796},
  abbr2 = {INTERSPEECH 2025},
}

@inproceedings{bose2023mm,
  title = {MM-AU: Towards Multimodal Understanding of Advertisement Videos},
  author = {Bose, Digbalay and Hebbar, Rajat and Feng, Tiantian and Somandepalli, Krishna and Xu, Anfeng and Narayanan, Shrikanth},
  booktitle = {ACM Multimedia},
  pages = {86--95},
  year = {2023},
  abbr2 = {Multimedia},
}

@article{feng2024can,
  title = {Can Text-to-image Model Assist Multi-modal Learning for Visual Recognition with Visual Modality Missing?},
  author = {Feng, Tiantian and Yang, Daniel and Bose, Digbalay and Narayanan, Shrikanth},
  journal = {ICMI},
  year = {2024},
  abbr2 = {Generative AI},
}

@article{feng2023unlocking,
  title = {Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content},
  author = {Feng, Tiantian and Bose, Digbalay and Shi, Xuan and Narayanan, Shrikanth},
  journal = {INTERSPEECH},
  year = {2023},
  abbr2 = {Generative AI},
}

@article{zhang2023gpt,
  title = {GPT-FL: Generative pre-trained model-assisted federated learning},
  author = {Zhang*, Tuo and Feng*, Tiantian and Alam, Samiul and Zhang, Mi and Narayanan, Shrikanth S and Avestimehr, Salman},
  journal = {arXiv preprint arXiv:2306.02210},
  year = {2023},
  abbr2 = {Generative AI},
}

@article{feng2023review,
  title = {A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness},
  author = {Feng, Tiantian and Hebbar, Rajat and Mehlman, Nicholas and Shi, Xuan and Kommineni, Aditya and Narayanan, Shrikanth},
  journal = {APSIPA Transactions on Signal and Information Processing},
  volume = {12},
  number = {3},
  year = {2023},
  publisher = {Now Publishers, Inc.},
  abbr2 = {Trustworthy AI},
}

@inproceedings{zhang2023fedaudio,
  title = {FedAudio: A federated learning benchmark for audio tasks},
  author = {Zhang, Tuo and Feng, Tiantian and Alam, Samiul and Lee, Sunwoo and Zhang, Mi and Narayanan, Shrikanth S and Avestimehr, Salman},
  booktitle = {ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages = {1--5},
  year = {2023},
  organization = {IEEE},
  abbr2 = {Federated Learning},
}

@inproceedings{feng22b_interspeech,
  author = {Feng, Tiantian and Peri, Raghuveer and Narayanan, Shrikanth},
  title = {{User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition on Federated Learning}},
  year = {2022},
  booktitle = {Proc. Interspeech 2022},
  pages = {5055--5059},
  doi = {10.21437/Interspeech.2022-10060},
  abbr2 = {Federated Learning},
}

@inproceedings{feng2023peft,
  title = {PEFT-SER: On the use of parameter efficient transfer learning approaches for speech emotion recognition using pre-trained speech models},
  author = {Feng, Tiantian and Narayanan, Shrikanth},
  booktitle = {2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII)},
  pages = {1--8},
  year = {2023},
  organization = {IEEE},
  abbr2 = {Foundation Model},
}

@article{feng2021multimodal,
  title = {A multimodal analysis of physical activity, sleep, and work shift in nurses with wearable sensor data},
  author = {Feng, Tiantian and Booth, Brandon M and Baldwin-Rodr{\'\i}guez, Brooke and Osorno, Felipe and Narayanan, Shrikanth},
  journal = {Scientific reports},
  volume = {11},
  number = {1},
  pages = {8693},
  year = {2021},
  publisher = {Nature Publishing Group UK London},
  abbr2 = {Wearables},
}

@inproceedings{feng2018tiles,
  title = {Tiles Audio Recorder: An Unobtrusive Wearable Solution to Track Audio Activity},
  author = {Feng, Tiantian and Nadarajan, Amrutha and Vaz, Colin and Booth, Brandon and Narayanan, Shrikanth},
  booktitle = {Proceedings of the 4th ACM Workshop on Wearable Systems and Applications},
  pages = {33--38},
  year = {2018},
  abbr2 = {Wearables},
  abbr3 = {Digital Health},
}

@inproceedings{feng2019discovering,
  title = {Discovering optimal variable-length time series motifs in large-scale wearable recordings of human bio-behavioral signals},
  author = {Feng, Tiantian and Narayanan, Shrikanth S},
  booktitle = {ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  pages = {7615--7619},
  year = {2019},
  organization = {IEEE},
  abbr2 = {Wearables}
}