Khanh-Tung Tran

According to our database, Khanh-Tung Tran authored at least 11 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

IRLBench: A Multi-modal, Culturally Grounded, Parallel Irish-English Benchmark for Open-Ended LLM Reasoning Evaluation.

Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen

CoRR, May, 2025

Scaling Test-time Compute for Low-resource Languages: Multilingual Reasoning in LLMs.

Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen

CoRR, April, 2025

Multi-Agent Collaboration Mechanisms: A Survey of LLMs.

Khanh-Tung Tran, Dung Dao, Minh-Duong Nguyen, Quoc-Viet Pham, Barry O'Sullivan, Hoang D. Nguyen

CoRR, January, 2025

2024

NeuProNet: neural profiling networks for sound classification.

Khanh-Tung Tran, Xuan-Son Vu, Khuong Nguyen, Hoang D. Nguyen

Neural Comput. Appl., April, 2024

Wave2Graph: Integrating spectral features and correlations for graph-based learning in sound waves.

Van-Truong Hoang, Khanh-Tung Tran, Xuan-Son Vu, Duy-Khuong Nguyen, Monowar H. Bhuyan, Hoang D. Nguyen

AI Open, 2024

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results.

Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

UCCIX: Irish-eXcellence Large Language Model.

Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

2023

Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data.

Khanh-Tung Tran, Truong Son Hy, Lili Jiang, Xuan-Son Vu

CoRR, 2023

Personalization for Robust Voice Pathology Detection in Sound Waves.

Khanh-Tung Tran, Truong Hoang, Duy Khuong Nguyen, Hoang D. Nguyen, Xuan-Son Vu

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.

Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

ViGPTQA - State-of-the-Art LLMs for Vietnamese Question Answering: System Overview, Core Models Training, and Evaluations.

Minh Thuan Nguyen, Khanh-Tung Tran, Nhu-Van Nguyen, Xuan-Son Vu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023