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Khanh-Tung Tran
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2020 – today
- 2024
- [j2]Van-Truong Hoang, Khanh-Tung Tran, Xuan-Son Vu, Duy-Khuong Nguyen, Monowar Bhuyan, Hoang D. Nguyen:
Wave2Graph: Integrating spectral features and correlations for graph-based learning in sound waves. AI Open 5: 115-125 (2024) - [j1]Khanh-Tung Tran, Xuan-Son Vu, Khuong Nguyen, Hoang D. Nguyen:
NeuProNet: neural profiling networks for sound classification. Neural Comput. Appl. 36(11): 5873-5887 (2024) - [c4]Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen:
UCCIX: Irish-eXcellence Large Language Model. ECAI 2024: 4503-4506 - [i2]Khanh-Tung Tran, Barry O'Sullivan, Hoang D. Nguyen:
UCCIX: Irish-eXcellence Large Language Model. CoRR abs/2405.13010 (2024) - 2023
- [c3]Minh Thuan Nguyen, Khanh-Tung Tran, Nhu-Van Nguyen, Xuan-Son Vu:
ViGPTQA - State-of-the-Art LLMs for Vietnamese Question Answering: System Overview, Core Models Training, and Evaluations. EMNLP (Industry Track) 2023: 754-764 - [c2]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:
The First Visual Object Tracking Segmentation VOTS2023 Challenge Results. ICCV (Workshops) 2023: 1788-1810 - [c1]Khanh-Tung Tran, Truong Hoang, Duy Khuong Nguyen, Hoang D. Nguyen, Xuan-Son Vu:
Personalization for Robust Voice Pathology Detection in Sound Waves. INTERSPEECH 2023: 1708-1712 - [i1]Khanh-Tung Tran, Truong Son Hy, Lili Jiang, Xuan-Son Vu:
Multimodal Graph Learning for Modeling Emerging Pandemics with Big Data. CoRR abs/2310.14549 (2023)
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