Tuan Dinh - RankMe

27 papers A* 6A 4C 1Journal 13Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	RosettaSpeech: Zero-Shot Speech-to-Speech Translation from Monolingual Data. CoRR Zhisheng Zheng, Xiaohang Sun, Tuan Dinh, Abhishek Yanamandra, Abhinav Jain, Zhu Liu, Sunil Hadap, Vimal Bhat, Manoj Aggarwal, Gérard G. Medioni, David Harwath
2025	J	`jnl`	SuoiAI: Building a Dataset for Aquatic Invertebrates in Vietnam. CoRR Tue Vo, Lakshay Sharma, Tuan Dinh, Khuong Dinh, Trang Nguyen, Trung Phan, Minh Do, Duong Vu
2025	A*	`conf`	TabFlex: Scaling Tabular Learning to Millions with Linear Attention. ICML Yuchen Zeng, Tuan Dinh, Wonjun Kang, Andreas C. Mueller
2025	J	`jnl`	TabFlex: Scaling Tabular Learning to Millions with Linear Attention. CoRR Yuchen Zeng, Tuan Dinh, Wonjun Kang, Andreas C. Mueller
2024	J	`jnl`	Investigating Training Strategies and Model Robustness of Low-Rank Adaptation for Language Modeling in Speech Recognition. CoRR 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
2023	—	`conf`	AIoT-based Neural Decoding and Neurofeedback for Accelerated Cognitive Training: Vision, Directions and Preliminary Results. SSP Van-Tam Nguyen, Enzo Tartaglione, Tuan Dinh
2023	J	`jnl`	Detection of Microsleep Events With a Behind-the-Ear Wearable System. IEEE Trans. Mob. Comput. 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
2023	A*	`conf`	Large Language Models of Code Fail at Completing Code with Potential Bugs. NeurIPS Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
2023	J	`jnl`	Large Language Models of Code Fail at Completing Code with Potential Bugs. CoRR Tuan Dinh, Jinman Zhao, Samson Tan, Renato Negrinho, Leonard Lausen, Sheng Zha, George Karypis
2023	C	`conf`	Low-Rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. ASRU 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
2023	J	`jnl`	Low-rank Adaptation of Large Language Model Rescoring for Parameter-Efficient Speech Recognition. CoRR 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
2022	J	`jnl`	Improved Input Reprogramming for GAN Conditioning. CoRR Tuan Dinh, Daewon Seo, Zhixu Du, Liang Shang, Kangwook Lee
2022	J	`jnl`	LIFT: Language-Interfaced Fine-Tuning for Non-Language Machine Learning Tasks. CoRR Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
2022	A*	`conf`	LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks. NeurIPS Tuan Dinh, Yuchen Zeng, Ruisu Zhang, Ziqian Lin, Michael Gira, Shashank Rajput, Jy-yong Sohn, Dimitris S. Papailiopoulos, Kangwook Lee
2022	A*	`conf`	PROS: an efficient pattern-driven compressive sensing framework for low-power biopotential-based wearables with on-chip intelligence. MobiCom Nhat Pham, Hong Jia, Minh Tran, Tuan Dinh, Nam Bui, Young D. Kwon, Dong Ma, Phuc Nguyen, Cecilia Mascolo, Tam Vu
2022	—	`conf`	Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. EMNLP (Findings) Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2022	J	`jnl`	Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment. CoRR Tuan Dinh, Jy-yong Sohn, Shashank Rajput, Timothy Ossowski, Yifei Ming, Junjie Hu, Dimitris S. Papailiopoulos, Kangwook Lee
2021	A*	`conf`	Coded-InvNet for Resilient Prediction Serving Systems. ICML Tuan Dinh, Kangwook Lee
2021	J	`jnl`	Coded-InvNet for Resilient Prediction Serving Systems. CoRR Tuan Dinh, Kangwook Lee
2020	A	`conf`	Improving Speech Intelligibility Through Speaker Dependent and Independent Spectral Style Conversion. INTERSPEECH Tuan Dinh, Alexander Kain, Kris Tjaden
2020	A	`conf`	Increasing the Intelligibility and Naturalness of Alaryngeal Speech Using Voice Conversion and Synthetic Fundamental Frequency. INTERSPEECH Tuan Dinh, Alexander Kain, Robin Samlan, Beiming Cao, Jun Wang
2020	A	`conf`	WAKE: a behind-the-ear wearable system for microsleep detection. MobiSys 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
2019	A*	`conf`	Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence. AAAI Sathya N. Ravi, Tuan Dinh, Vishnu Suresh Lokhande, Vikas Singh
2019	A	`conf`	Using a Manifold Vocoder for Spectral Voice and Style Conversion. INTERSPEECH Tuan Dinh, Alexander Kain, Kris Tjaden
2018	J	`jnl`	Constrained Deep Learning using Conditional Gradient and Applications in Computer Vision. CoRR Sathya N. Ravi, Tuan Dinh, Vishnu Sai Rao Lokhande, Vikas Singh
2009	—	`ch.`	Stochastic Models of Biological Processes. Encyclopedia of Complexity and Systems Science Steven S. Andrews, Tuan Dinh, Adam P. Arkin
2008	J	`jnl`	A Dual Receptor Crosstalk Model of G-Protein-Coupled Signal Transduction. PLoS Comput. Biol. Patrick Flaherty, Mala L. Radhakrishnan, Tuan Dinh, Robert A. Rebres, Tamara I. Roach, Michael I. Jordan, Adam P. Arkin