Conference

2026

  • Ren-Wei Liang, Chin Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Chieh-Yen Lin, Shang-Tse Chen, Kuan-Hao Huang, and Shao-Hua Sun. (2026, March 24-29).  Adaptive Helpfulness–Harmlessness Alignment with Preference Vectors [Paper presentation].  European Chapter of the Association for Computational Linguistics (EACL), Rabat, Morocco.
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  • Li-Chun Lu, Miri Liu, Pin Chun Lu, Yufei Tian, Shao-Hua Sun, and Nanyun Peng. (2026, March 24-29). Rethinking Creativity Evaluation: A Critical Analysis of Existing Creativity Evalu- ations [Paper presentation].  European Chapter of the Association for Computational Linguistics (EACL), Rabat, Morocco.
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  • Tsung-Min Pai, Jui-I Wang, Li-Chun Lu, Shao-Hua Sun, Hung-yi Lee, and Kai-Wei Chang. (2026, March 24-29). BILLY: Steering Large Language Models via Merging Persona Vectors for Creative Generation [Paper presentation].  European Chapter of the Association for Computational Linguis- tics (EACL),  Rabat, Morocco.
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  • Bor-Jiun Lin and Chun-Yi Lee. (2026, April 23–27). HETEROGENEOUS AGENT Q-WEIGHTED POLICY OPTIMIZATION [Paper presentation]. International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil.
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  • Kai-Wei Chang, En-Pei Hu, Chun-Yi Kuan, Wenze Ren, Wei-Chih Che, Guan-Ting Lin, Yu Tsao, Shao-Hua Sun, Hung-yi Lee, and James Glass. (2026, May 3-8). Game-Time: Evaluating Temporal Dynamics in Spoken Language Models [Paper presentation]. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain.
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  • Po-Yi Lu, Yi-Jie Cheng, Chun-Liang Li, and Hsuan-Tien Lin.(2026, April 23–27). An expanded benchmark that rediscovers and affirms the edge of uncertainty sampling for active learning in tabular datasets [Poster presentation]. International Conference on Learning Representations (ICLR),Rio de Janeiro, Brazil.
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  • Y.-T. Chen, H.-W. Chen, T.-C. Hsiao, and C.-Y. Lee.(2026, Jun 3-7). Landscape-Awareness for Geometric View Diffusion Model .in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Colorado, United States. [H5-index: 450] [Acceptance Rate: 25.42% (4,090/16,092)]

Journals

2025

  • An-Sheng Lee, Yu-Wen Pao, Hsuan-Tien Lin, and Sofia Ya Hsuan Liou. Cro-Project Deep-Sea Sediment Geochemistry From XRF Spectra: A Self-Supervised Foundation Model (MAX). Journal of Geophysical Research: Machine Learning and Computation, Vol.2(3), 2025.
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2026

  • Tan-Ha Mai, Hsuan-Tien Lin. Intra-Cluster Mixup: An Effective Data Augmentation Tech-nique for Complementary-Label Learning. Transactions on Machine Learning Research, 2026.
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