Tiantian Feng

发表

Screenplay Quality Assessment: Can We Predict Who Gets Nominated?

Shrikanth Narayanan, Shrikanth S. Narayanan, Xiang Ren, 2020, NUSE.

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

Shrikanth S. Narayanan, M. Annavaram, Tiantian Feng, 2021, ArXiv.

Cross-Modal Coordination of Face-Directed Gaze and Emotional Speech Production in School-Aged Children and Adolescents with ASD

Shrikanth S. Narayanan, Tiantian Feng, E. Zane, 2019, Scientific Reports.

User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning

Shrikanth S. Narayanan, Tiantian Feng, Raghuveer Peri, 2022, ArXiv.

Learning Multifeature Correlation Filter and Saliency Redetection for Long-Term Object Tracking

Tiantian Feng, Liqiang Liu, Yanfang Fu, 2022, Symmetry.

Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition

Shrikanth S. Narayanan, M. Annavaram, Tiantian Feng, 2022, ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

TILES-2019: A longitudinal physiologic and behavioral data set of medical residents in an intensive care unit

Shrikanth S. Narayanan, Brandon M. Booth, Joanna C. Yau, 2022, Scientific data.

Effects of a Randomised Trial of 5-Week Heart Rate Variability Biofeedback Intervention on Cognitive Function: Possible Benefits for Inhibitory Control

M. Mather, Tiantian Feng, J. Thayer, 2022, Applied Psychophysiology and Biofeedback.

Increasing coordination and responsivity of emotion-related brain regions with a heart rate variability biofeedback randomized trial

Shrikanth S. Narayanan, M. Mather, Tiantian Feng, 2022, Cognitive, Affective, & Behavioral Neuroscience.

Multimodal Estimation of Change Points of Physiological Arousal in Drivers

Shrikanth S. Narayanan, Tiantian Feng, Digbalay Bose, 2022, ArXiv.

Modeling Behavior as Mutual Dependency between Physiological Signals and Indoor Location in Large-Scale Wearable Sensor Study

Shrikanth S. Narayanan, Tiantian Feng, Brandon M. Booth, 2020, ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

TILES audio recorder: an unobtrusive wearable solution to track audio activity

Shrikanth S. Narayanan, Colin Vaz, Tiantian Feng, 2018, WearSys@MobiSys.

Temporal Dynamics of Workplace Acoustic Scenes: Egocentric Analysis and Prediction

Arindam Jati, Raghuveer Peri, Benjamin Girault, 2021, IEEE/ACM Transactions on Audio, Speech, and Language Processing.

Understanding the Effect of Speed on Human Emotion Perception in Mediated Social Touch Using Voice Coil Actuators

Tiantian Feng, Heather Culbertson, Xin Zhu, 2022, Frontiers in Computer Science.

A multimodal analysis of physical activity, sleep, and work shift in nurses with wearable sensor data

Shrikanth S. Narayanan, Brandon M. Booth, Tiantian Feng, 2021, Scientific Reports.

A Review of Speech-centric Trustworthy Machine Learning: Privacy, Safety, and Fairness

Shrikanth S. Narayanan, Tiantian Feng, Rajat Hebbar, 2022, APSIPA Transactions on Signal and Information Processing.

Attribute Inference Attack of Speech Emotion Recognition in Federated Learning Settings

Shrikanth S. Narayanan, M. Annavaram, Tiantian Feng, 2021, ArXiv.

FedAudio: A Federated Learning Benchmark for Audio Tasks

Shrikanth S. Narayanan, Tuo Zhang, S. Avestimehr, 2022, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

User-Level Differential Privacy against Attribute Inference Attack of Speech Emotion Recognition in Federated Learning

Shrikanth S. Narayanan, Tiantian Feng, Raghuveer Peri, 2022, INTERSPEECH.

Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings

Shrikanth S. Narayanan, Lindsay K. Butler, Tiantian Feng, 2023, 2305.14117.

TrustSER: On the Trustworthiness of Fine-tuning Pre-trained Speech Embeddings For Speech Emotion Recognition

Shrikanth S. Narayanan, Tiantian Feng, Rajat Hebbar, 2023, ArXiv.

TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers

Shrikanth S. Narayanan, Brandon M. Booth, Tiantian Feng, 2020, ArXiv.

Multimodal Human and Environmental Sensing for Longitudinal Behavioral Studies in Naturalistic Settings: Framework for Sensor Selection, Deployment, and Management

Shrikanth Narayanan, Shrikanth S. Narayanan, Emilio Ferrara, 2019, Journal of medical Internet research.

TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers

Shrikanth S. Narayanan, Brandon M. Booth, Tiantian Feng, 2020, Scientific Data.

Discovering Optimal Variable-length Time Series Motifs in Large-scale Wearable Recordings of Human Bio-behavioral Signals

Shrikanth Narayanan, Shrikanth S. Narayanan, Tiantian Feng, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Toward Robust Interpretable Human Movement Pattern Analysis in a Workplace Setting

Shrikanth Narayanan, Shrikanth S. Narayanan, Brandon M. Booth, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Unlocking Foundation Models for Privacy-Enhancing Speech Understanding: An Early Study on Low Resource Speech Training Leveraging Label-guided Synthetic Speech Content

Shrikanth S. Narayanan, Tiantian Feng, Digbalay Bose, 2023, 3rd Symposium on Security and Privacy in Speech Communication.

PEFT-SER: On the Use of Parameter Efficient Transfer Learning Approaches For Speech Emotion Recognition Using Pre-trained Speech Models

Shrikanth S. Narayanan, Tiantian Feng, 2023, 2306.05350.

Understanding Spoken Language Development of Children with ASD Using Pre-trained Speech Embeddings

Shrikanth S. Narayanan, Lindsay K. Butler, Tiantian Feng, 2023, INTERSPEECH 2023.

FedMultimodal: A Benchmark for Multimodal Federated Learning

Shrikanth S. Narayanan, Tuo Zhang, S. Avestimehr, 2023, KDD.

Semi-FedSER: Semi-supervised Learning for Speech Emotion Recognition On Federated Learning using Multiview Pseudo-Labeling

Shrikanth S. Narayanan, Tiantian Feng, 2022, INTERSPEECH.

Multimodal Estimation Of Change Points Of Physiological Arousal During Driving

Shrikanth S. Narayanan, Tiantian Feng, Digbalay Bose, 2023, 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW).

Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process

Shrikanth S. Narayanan, Brandon M. Booth, Tiantian Feng, 2023, ArXiv.

MM-AU:Towards Multimodal Understanding of Advertisement Videos

Tiantian Feng, Krishna Somandepalli, Anfeng Xu, 2023, ACM Multimedia.

Imputing Missing Data In Large-Scale Multivariate Biomedical Wearable Recordings Using Bidirectional Recurrent Neural Networks With Temporal Activation Regularization

Shrikanth Narayanan, Shrikanth S. Narayanan, Tiantian Feng, 2019, 2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Directional Source Separation for Robust Speech Recognition on Smart Glasses

Tiantian Feng, Ming Sun, Niko Moritz, 2023, 2309.10993.

Robust Self Supervised Speech Embeddings for Child-Adult Classification in Interactions involving Children with Autism

Shrikanth S. Narayanan, So Hyun Kim, C. Lord, 2023, INTERSPEECH 2023.

TILES-2018, a longitudinal physiologic and behavioral data set of hospital workers

Shrikanth S. Narayanan, Brandon M. Booth, Tiantian Feng, 2020, Scientific Data.

Toward Privacy-Enhancing Ambulatory-Based Well-Being Monitoring: Investigating User Re-Identification Risk in Multimodal Data

Shrikanth S. Narayanan, Tiantian Feng, Theodora Chaspari, 2023, ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Exploring Workplace Behaviors through Speaking Patterns using Large-scale Multimodal Wearable Recordings: A Study of Healthcare Providers

Shrikanth S. Narayanan, Tiantian Feng, 2022, ArXiv.

Emotion-Aligned Contrastive Learning Between Images and Music

Tiantian Feng, Kleanthis Avramidis, Shanti Stewart, 2023, ArXiv.

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning

Shrikanth S. Narayanan, Tuo Zhang, S. Avestimehr, 2023, ArXiv.

Learning Behavioral Representations of Routines From Large-scale Unlabeled Wearable Time-series Data Streams using Hawkes Point Process

Shrikanth S. Narayanan, Brandon M. Booth, Tiantian Feng, 2023, ArXiv.

Modeling Human Movement Behavior Among Nursing Profession

Shrikanth Narayanan, Shrikanth S. Narayanan, Tiantian Feng, 2020, 2020 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC).

Can Text-to-image Model Assist Multi-modal Learning for Visual Recognition with Visual Modality Missing?

Tiantian Feng, Digbalay Bose, Shrikanth S. Narayanan, 2024, ArXiv.