Tiantian Feng

Tiantian Feng, Postdoctoral Researcher at University of Southern California

Tiantian Feng is a Postdoctoral Researcher at the University of Southern California (USC), where his research focuses on understanding human behaviors using wearable sensors and making this process trustworthy to ensure that technologies are reliable, fair, and privacy-preserving.3

Key Facts about Tiantian Feng

• Postdoctoral Researcher at the University of Southern California13
• Ph.D. in Computer Science from USC in 20234
• Advised by Professor Shrikanth Narayanan during his Ph.D.4
• Research interests include human behavioral computing, wearable sensors, affective computing, speech and multimodal processing, and privacy1
• Cited over 621 times according to Google Scholar1
• Active on OpenReview with the username ~Tiantian_Feng15
• LinkedIn profile at tiantian-feng-b43679893

Selected Publications

• "FedMultimodal: A Benchmark For Multimodal Federated Learning" (2023)2
• "Enhancing Privacy Through Domain Adaptive Noise Injection For Speech Emotion Recognition" (2022)2
• "Discovering optimal variable-length time series motifs in large-scale wearable recordings of human bio-behavioral signals" (2019)2

Tiantian Feng is an accomplished postdoctoral researcher at USC, making significant contributions to the fields of human behavioral computing, wearable sensing, and privacy-preserving machine learning through his research and publications.