SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam.
CoRR, April, 2025
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition.
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CoRR, 2024
Detection of Microsleep Events With a Behind-the-Ear Wearable System.
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IEEE Trans. Mob. Comput., 2023
AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2023
Large Language Models of Code Fail at Completing Code with Potential Bugs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition.
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Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023
Improved Input Reprogramming for GAN Conditioning.
CoRR, 2022
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence.
Proceedings of the ACM MobiCom '22: The 28th Annual International Conference on Mobile Computing and Networking, Sydney, NSW, Australia, October 17, 2022
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Coded-InvNet for Resilient Prediction Serving Systems.
Proceedings of the 38th International Conference on Machine Learning, 2021
WAKE: a behind-the-ear wearable system for microsleep detection.
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Proceedings of the MobiSys '20: The 18th Annual International Conference on Mobile Systems, 2020
Improving Speech Intelligibility Through Speaker Dependent and Independent Spectral Style Conversion.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020
Using a Manifold Vocoder for Spectral Voice and Style Conversion.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision.
CoRR, 2018
Stochastic Models of Biological Processes.
Proceedings of the Encyclopedia of Complexity and Systems Science, 2009
A Dual Receptor Crosstalk Model of G-Protein-Coupled Signal Transduction.
PLoS Comput. Biol., 2008