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Tuan Dinh
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2020 – today
- 2024
- [i8]Yu Yu, Chao-Han Huck Yang, Tuan Dinh, Sungho Ryu, Jari Kolehmainen, Roger Ren, Denis Filimonov, Prashanth Gurunath Shivakumar, Ankur Gandhe, Ariya Rastrow, Jia Xu, Ivan Bulyko, Andreas Stolcke:
Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition. CoRR abs/2401.10447 (2024) - 2023
- [j2]Nhat Pham
, Tuan Dinh, Taeho Kim, Zohreh Raghebi, Nam Bui
Detection of Microsleep Events With a Behind-the-Ear Wearable System. IEEE Trans. Mob. Comput. 22(2): 841-857 (2023) - [c12]Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen, Prashanth Gurunath Shivakumar, Yile Gu, Sungho Ryu, Roger Ren, Qi Luo, Aditya Gourav, I-Fan Chen, Yi-Chieh Liu, Tuan Dinh, Ankur Gandhe, Denis Filimonov, Shalini Ghosh, Andreas Stolcke, Ariya Rastrow, Ivan Bulyko:
Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. ASRU 2023: 1-8 - [c11]Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis:
Large Language Models of Code Fail at Completing Code with Potential Bugs. NeurIPS 2023 - [c10]Van-Tam Nguyen, Enzo Tartaglione, Tuan Dinh:
AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results. SSP 2023: 705-709 - [i7]Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis:
Large Language Models of Code Fail at Completing Code with Potential Bugs. CoRR abs/2306.03438 (2023) - [i6]Yu Yu, Chao-Han Huck Yang, Jari Kolehmainen, Prashanth Gurunath Shivakumar, Yile Gu, Sungho Ryu, Roger Ren, Qi Luo, Aditya Gourav, I-Fan Chen, Yi-Chieh Liu, Tuan Dinh, Ankur Gandhe, Denis Filimonov, Shalini Ghosh, Andreas Stolcke, Ariya Rastrow, Ivan Bulyko:
Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. CoRR abs/2309.15223 (2023) - 2022
- [c9]Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee:
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. EMNLP (Findings) 2022: 154-168 - [c8]Nhat Pham
PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence. MobiCom 2022: 661-675 - [c7]Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee:
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. NeurIPS 2022 - [i5]Tuan Dinh, Daewon Seo, Zhixu Du, Liang Shang, Kangwook Lee:
Improved Input Reprogramming for GAN Conditioning. CoRR abs/2201.02692 (2022) - [i4]Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee:
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. CoRR abs/2205.11616 (2022) - [i3]Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee:
LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. CoRR abs/2206.06565 (2022) - 2021
- [c6]Tuan Dinh, Kangwook Lee:
Coded-InvNet for Resilient Prediction Serving Systems. ICML 2021: 2749-2759 - [i2]Tuan Dinh, Kangwook Lee:
Coded-InvNet for Resilient Prediction Serving Systems. CoRR abs/2106.06445 (2021) - 2020
- [c5]Tuan Dinh, Alexander Kain, Kris Tjaden:
Improving Speech Intelligibility Through Speaker Dependent and Independent Spectral Style Conversion. INTERSPEECH 2020: 1146-1150 - [c4]Tuan Dinh, Alexander Kain, Robin Samlan, Beiming Cao, Jun Wang:
Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency. INTERSPEECH 2020: 4781-4785 - [c3]Nhat Pham
WAKE: a behind-the-ear wearable system for microsleep detection. MobiSys 2020: 404-418
2010 – 2019
- 2019
- [c2]Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh:
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. AAAI 2019: 4772-4779 - [c1]Tuan Dinh, Alexander Kain, Kris Tjaden:
Using a Manifold Vocoder for Spectral Voice and Style Conversion. INTERSPEECH 2019: 1388-1392 - 2018
- [i1]Sathya N. Ravi, Tuan Dinh, Vishnu Sai Rao Lokhande, Vikas Singh:
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision. CoRR abs/1803.06453 (2018)
2000 – 2009
- 2009
- [r1]Steven S. Andrews, Tuan Dinh, Adam P. Arkin
Stochastic Models of Biological Processes. Encyclopedia of Complexity and Systems Science 2009: 8730-8749 - 2008
- [j1]Patrick Flaherty, Mala L. Radhakrishnan
A Dual Receptor Crosstalk Model of G-Protein-Coupled Signal Transduction. PLoS Comput. Biol. 4(9) (2008)
Coauthor Index
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