Tian Huey Teh

According to our database1, Tian Huey Teh authored at least 12 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Decoding Safety Feedback from Diverse Raters: A Data-driven Lens on Responsiveness to Severity.
Trans. Mach. Learn. Res., 2026

Human-AI Complementarity: A Goal for Amplified Oversight.
Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency, 2026

2025
"Just a strange pic": Evaluating 'safety' in GenAI Image safety annotation tasks from diverse annotators' perspectives.
CoRR, July, 2025

Whose View of Safety? A Deep DIVE Dataset for Pluralistic Alignment of Text-to-Image Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

2024
Insights on Disagreement Patterns in Multimodal Safety Perception across Diverse Rater Groups.
CoRR, 2024

Controllable Prosody Generation with Partial Inputs.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Controlling High-Dimensional Data With Sparse Input.
CoRR, 2023

Ensemble Prosody Prediction For Expressive Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2023

2021
ADEPT: A Dataset for Evaluating Prosody Transfer.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Ctrl-P: Temporal Control of Prosodic Variation for Speech Synthesis.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Phonological Features for 0-Shot Multilingual Speech Synthesis.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Incremental Text to Speech for Neural Sequence-to-Sequence Models Using Reinforcement Learning.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020


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