Tuan Dinh

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 21

Top Topics

Top Venues

Publications

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 (2024)
Van-Tam Nguyen, Enzo Tartaglione, Tuan Dinh
AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results. SSP (2023)
Nhat Pham, Tuan Dinh, Taeho Kim, Zohreh Raghebi, Nam Bui, Hoang Truong, Tuan Nguyen, Farnoush Banaei Kashani, Ann C. Halbower, Thang N. Dinh, Phuc Nguyen, Tam Vu
Detection of Microsleep Events With a Behind-the-Ear Wearable System. IEEE Trans. Mob. Comput. 22 (2) (2023)
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)
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)
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 (2023)
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 (2023)
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 (2022)
Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young Kwon, Dong Ma, Phuc Nguyen, Cecilia Mascolo, Tam Vu
PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence. MobiCom (2022)
Tuan Dinh, Daewon Seo, Zhixu Du, Liang Shang, Kangwook Lee
Improved Input Reprogramming for GAN Conditioning. CoRR (2022)
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)
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)
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 (2022)
Tuan Dinh, Kangwook Lee
Coded-InvNet for Resilient Prediction Serving Systems. ICML (2021)
Tuan Dinh, Kangwook Lee
Coded-InvNet for Resilient Prediction Serving Systems. CoRR (2021)
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)
Nhat Pham, Tuan Dinh, Zohreh Raghebi, Taeho Kim, Nam Bui, Phuc Nguyen, Hoang Truong, Farnoush Banaei Kashani, Ann C. Halbower, Thang N. Dinh, Tam Vu
WAKE: a behind-the-ear wearable system for microsleep detection. MobiSys (2020)
Tuan Dinh, Alexander Kain, Kris Tjaden
Improving Speech Intelligibility Through Speaker Dependent and Independent Spectral Style Conversion. INTERSPEECH (2020)
Tuan Dinh, Alexander Kain, Kris Tjaden
Using a Manifold Vocoder for Spectral Voice and Style Conversion. INTERSPEECH (2019)
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)
Sathya N. Ravi, Tuan Dinh, Vishnu Sai Rao Lokhande, Vikas Singh
Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision. CoRR (2018)
Patrick Flaherty, Mala L. Radhakrishnan, Tuan Dinh, Robert A. Rebres, Tamara I. Roach, Michael I. Jordan, Adam P. Arkin
A Dual Receptor Crosstalk Model of G-Protein-Coupled Signal Transduction. PLoS Comput. Biol. 4 (9) (2008)