A Dual Receptor Crosstalk Model of G-Protein-Coupled Signal Transduction. - Patrick Flaherty; Mala L. Radhakrishnan; Tuan Dinh; Robert A. Rebres; Tamara I. Roach; Michael I. Jordan; Adam P. Arkin (PLoS Comput. Biol., 2008)

Stochastic Models of Biological Processes. - Steven S. Andrews; Tuan Dinh; Adam P. Arkin (Encyclopedia of Complexity and Systems Science, 2009)

Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision. - Sathya N. Ravi; Tuan Dinh; Vishnu Sai Rao Lokhande; Vikas Singh (CoRR, 2018)

Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. - Sathya N. Ravi; Tuan Dinh; Vishnu Suresh Lokhande; Vikas Singh (AAAI, 2019)

Using a Manifold Vocoder for Spectral Voice and Style Conversion. - Tuan Dinh; Alexander Kain; Kris Tjaden (INTERSPEECH, 2019)

Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency. - Tuan Dinh; Alexander Kain; Robin Samlan; Beiming Cao; Jun Wang 037 (INTERSPEECH, 2020)

Improving Speech Intelligibility Through Speaker Dependent and Independent Spectral Style Conversion. - Tuan Dinh; Alexander Kain; Kris Tjaden (INTERSPEECH, 2020)

WAKE: a behind-the-ear wearable system for microsleep detection. - Nhat Pham; Tuan Dinh; Zohreh Raghebi; Taeho Kim; Nam Bui; Phuc Nguyen 002; Hoang Truong 002; Farnoush Banaei Kashani; Ann C. Halbower; Thang N. Dinh; Tam Vu 001 (MobiSys, 2020)

Coded-InvNet for Resilient Prediction Serving Systems. - Tuan Dinh; Kangwook Lee 001 (ICML, 2021)

Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. - Tuan Dinh; Jy-yong Sohn; Shashank Rajput; Timothy Ossowski; Yifei Ming; Junjie Hu 001; Dimitris S. Papailiopoulos; Kangwook Lee 001 (EMNLP (Findings), 2022)

PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence. - Nhat Pham; Hong Jia; Minh Tran; Tuan Dinh; Nam Bui; Young Kwon; Dong Ma 001; Phuc Nguyen 002; Cecilia Mascolo; Tam Vu 001 (MobiCom, 2022)

LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. - Tuan Dinh; Yuchen Zeng; Ruisu Zhang; Ziqian Lin; Michael Gira; Shashank Rajput; Jy-yong Sohn; Dimitris S. Papailiopoulos; Kangwook Lee 001 (NeurIPS, 2022)

Improved Input Reprogramming for GAN Conditioning. - Tuan Dinh; Daewon Seo; Zhixu Du; Liang Shang; Kangwook Lee 001 (CoRR, 2022)

Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. - 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; et al. (ASRU, 2023)

Large Language Models of Code Fail at Completing Code with Potential Bugs. - Tuan Dinh; Jinman Zhao; Samson Tan; Renato Negrinho; Leonard Lausen; Sheng Zha; George Karypis (NeurIPS, 2023)

AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results. - Van-Tam Nguyen; Enzo Tartaglione; Tuan Dinh (SSP, 2023)

Detection of Microsleep Events With a Behind-the-Ear Wearable System. - Nhat Pham; Tuan Dinh; Taeho Kim; Zohreh Raghebi; Nam Bui; Hoang Truong 002; Tuan Nguyen; Farnoush Banaei Kashani; Ann C. Halbower; Thang N. Dinh; Phuc Nguyen 002; Tam Vu 001 (IEEE Trans. Mob. Comput., 2023)

Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition. - 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; et al. (CoRR, 2024)

SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam. - Tue Vo; Lakshay Sharma; Tuan Dinh; Khuong Dinh; Trang Nguyen; Trung Phan; Minh Do; Duong Vu (CoRR, 2025)

TabFlex: Scaling Tabular Learning to Millions with Linear Attention. - Yuchen Zeng; Tuan Dinh; Wonjun Kang; Andreas C. Mueller (CoRR, 2025)