跳至主要內容
會議
2026
- Yu-Jen Tseng, Chia-Hao Kao, Jing-Zhong Chen, Alessandro Gnutti, Shao-Yuan Lo, Yen-Yu Lin, and Wen-Hsiao Peng. (2026, March 6–11). CSGaussian: Progressive Rate-Distortion Compression and Segmentation for 3D Gaussian Splatting. IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), Tucson, United States.
- 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. Conference of the European Chapter of the Association for Computational Linguistics (EACL), Rabat, Morocco.
- 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 Evaluations. Conference of the European Chapter of the Association for Computational Linguistics (EACL), Rabat, Morocco.
- 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. Conference of the European Chapter of the Association for Computational Linguistics (EACL), Rabat, Morocco.
- Bor-Jiun Lin and Chun-Yi Lee. (2026, April 23–27). Heterogeneous Agent Q-Weighted Policy Optimization. International Conference on Learning Representations (ICLR), Riode Janeiro, Brazil.
- Yu-Che Tsai, Kuan-Yu Chen, Yuan-Chi Li, Yuan-Hao Chen, Ching-Yu Tsai, and Shou-De Lin. (2026, April 23–27). Let LLMs Speak Embedding Languages: Generative Text Embeddings via Iterative Contrastive Refinement. International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil.
- Yu-Che Tsai, Hsiang Hsiao, Kuan-Yu Chen, and Shou-De Lin. (2026, April 23–27). Concept-Aware Privacy Mechanisms for Defending Embedding Inversion Attacks. International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil.
- 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. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Barcelona, Spain.
- Yen-Ting Chen, Hao-Wei Chen, Tsu-Ching Hsiao, and Chun-Yi Lee. (2026, June 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.
- Peiwen Huang, Chih-Hao Hsu, Tzu-Hung Huang, and Shou-De Lin. (2026, July 2–7). Role-Sensitive Neurons: A Neuron-Level Gain Control Mechanism for Confidence Steering. Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, California, United States.
- Pei-Fu Guo, Yun-Da Tsai, Chun-Chia Hsu, Kai-Xin Chen, Ya An Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, and Shou-De Lin. (2026, July 2–7). LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs. Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, California, United States.
- Pei-Fu Guo, Ya-An Tsai, Chun-Chia Hsu, Kai-Xin Chen, Yun-Da Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, and Shou-De Lin. (2026, July 2–7). Beyond Facts: Benchmarking Distributional Reading Comprehension in Large Language Models. Annual Meeting of the Association for Computational Linguistics (ACL), San Diego, California, United States.
- Jike Zhong, Yuxiang Lai, Ming Li, Yuheng Li, Wuao Liu, Behzad Dariush, Konstantinos Psounis, and Shao-Yuan Lo. (2026, July 6–11). From Shortcuts to Reasoning: Robust Post-Training of Theory of Mind with Reinforcement Learning. International Conference on Machine Learning (ICML), Seoul, South Korea.
- Eli Chien, Wei-Ning Chen, and Pan Li. (2026, July 6–11). Privacy Amplification in Differentially Private Zeroth-Order Optimization with Hidden States. International Conference on Machine Learning (ICML), Seoul, South Korea.
- Rongzhe Wei, Peizhi Niu, Xinjie Shen, Tony Tu, Yifan Li, Ruihan Wu, Eli Chien, Pin-Yu Chen, Olgica Milenkovic, and Pan Li. (2026, July 6–11). The Trojan Knowledge: Bypassing Commercial LLM Guardrails via Harmless Prompt Weaving and Adaptive Tree Search. International Conference on Machine Learning (ICML), Seoul, South Korea.
- Huai-Chih Wang, Hsiang-Chun Chuang, Hsi-Chun Cheng, Dai-Jie Wu, and Shao-Hua Sun. (2026, July 6–11). CooT: Learning to Coordinate In-Context with Coordination Transformers. International Conference on Machine Learning (ICML), Seoul, South Korea.
- Tzu-Yuan Huang, Armin Lederer, Dai-Jie Wu, Xiaobing Dai, Sihua Zhang, Hsiu-Chin Lin, Shao-Hua Sun, Stefan Georg Sosnowski, and Sandra Hirche. (2026, July 6–11). SAD-Flower: Flow Matching for Safe, Admissible, and Dynamically Consistent Planning. International Conference on Machine Learning (ICML), Seoul, South Korea.
- Bing-Cheng Chuang, I-Hsuan Chu, Bor-Jiun Lin, Yuan-Fu Yang, Min Sun, and Chun-Yi Lee. (2026, July 6–11). The Lie We Tell: Correcting the Euclidean Fallacy in Vision Language Action Policies via Score Matching on Tangent Space. International Conference on Machine Learning (ICML), Seoul, South Korea.
- Bing-Cheng Chuang, I-Hsuan Chu, Bor-Jiun Lin, Yuan-Fu Yang, Min Sun, and Chun-Yi Lee. (2026, July 6–11). The Lie We Tell: Correcting the Euclidean Fallacy in Vision Language Action Policies via Score Matching on Tangent Space. International Conference on Machine Learning (ICML), Seoul, South Korea.
- Chih-Heng Chang, Keng-Seng Ho, Chih-Yu Tsai, Kuan-Lin Chen, Yi-Hsuan Yang, and Jian-Jiun Ding. (2026, August 9–13). AnchorSteer: Self-Discovered Concept Injection for Structure-Preserving Music Editing. Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD), Jeju, South Korea.
- Chang-Yu Chao, Bryan Andersen, Xiao Xi Tan, Yi-Tse Lu, and Shou-De Lin. (2026, August 9–13). MORE-FE: Multi-Operator and Reinforcement Learning-Enhanced Evolution for LLM Feature Engineering. Association for Computing Machinery’s Special Interest Group on Knowledge Discovery and Data Mining (ACM SIGKDD), Jeju, South Korea.
- Eli Chien, Yuzheng Hu, Ryan McKenna, Shanshan Wu, Zheng Xu, and Peter Kairouz. (2026). MAPLE: Metadata Augmented Private Language Evolution. Conference on Language Modeling (COLM).
- Cheng-Yen Tsai, Zheng-Hui Huang, Wei-Lien Tang, Hsiu-Ting Yang, Jo-Fan Wu, and Yung-Yu Chuang. (2026, May). SkyMatte: A High-Quality Dataset for Improving Sky Image Matting. Institute of Electrical and Electronics Engineers International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP), Barcelona, Spain, pp. 11362–11366.
- Chin-Chia Yang, Yung-Yu Chuang, Hwann-Tzong Chen, and Tyng-Luh Liu. (2026, April). HSIC Bottleneck for Cross-Generator and Domain-Incremental Synthetic Image Detection. International Conference on Learning Representations (ICLR), Rio de Janeiro, Brazil.
2025
- Hung-Chieh Fang, Hsuan-Tien Lin, Irwin King, and Yifei Zhang. (2025, October 19–23). Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning. IEEE/CVF International Conference on Computer Vision (ICCV), Honolulu, Hawai’i.
- Chao-Chung Wu, Zhi Rui Tam, Chieh-Yen Lin, Yun-Nung Chen, Shao-Hua Sun, and Hung-Yi Lee. (2025, December 2–7). Mitigating Forgetting in LLM Fine-Tuning via Low-Perplexity Token Learning. Annual Conference on Neural Information Processing Systems (NeurIPS), San Diego, California, United States.
期刊
2026
- Tan-Ha Mai and Hsuan-Tien Lin. (2026). Intra-Cluster Mixup: An Effective Data Augmentation Technique for Complementary-Label Learning. Transactions on Machine Learning Research.
- Xuanjun Chen, Jiawei Du, Haibin Wu, Lin Zhang, I-Ming Lin, I-Hsiang Chiu, Wenze Ren, Yuan Tseng, Yu Tsao, Jyh-Shing Roger Jang, and Hung-Yi Lee. (2026). CodecFake+: Codec-Based Resynthesized Data as a Proxy for Detecting CodecFake Speech. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 34, 2929–2944.
- Tianchen Deng, Yanbo Wang, Yejia Liu, Chenpeng Su, Jingchuan Wang, Hesheng Wang, Danwei Wang, Shao-Yuan Lo, and Weidong Chen. (2026). ProSGNeRF: Progressive Dynamic Neural Scene Graph with Frequency Modulated Foundation Model in Urban Scenes. International Journal of Computer Vision (IJCV), 134(8), 365.
2025
- An-Sheng Lee, Yu-Wen Pao, Hsuan-Tien Lin, and Sofia Ya Hsuan Liou. (2025). Cross-Project Deep-Sea Sediment Geochemistry From XRF Spectra: A Self-Supervised Foundation Model (MAX). Journal of Geophysical Research: Machine Learning and Computation, 2(3). https://doi.org/10.1029/2025JH000754
