| 2026 | ACL | Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs. | Shenglai Zeng, Tianqi Zheng, Chuan Tian, Dante Everaert, Yau-Shian Wang, Yupin Huang, Michael J. Morais, Rohit Patki, Jinjin Tian, Xinnan Dai, Kai Guo, Monica Xiao Cheng, Hui Liu |
| 2024 | EACL | Generation-driven Contrastive Self-training for Zero-shot Text Classification with Instruction-following LLM. | Ruohong Zhang, Yau-Shian Wang, Yiming Yang |
| 2023 | ACL | PESCO: Prompt-enhanced Self Contrastive Learning for Zero-shot Text Classification. | Yau-Shian Wang, Ta-Chung Chi, Ruohong Zhang, Yiming Yang |
| 2023 | CIKM | Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. | Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2023 | EACL | Long-tailed Extreme Multi-label Text Classification by the Retrieval of Generated Pseudo Label Descriptions. | Ruohong Zhang, Yau-Shian Wang, Yiming Yang, Donghan Yu, Tom Vu, Likun Lei |
| 2022 | EMNLP | English Contrastive Learning Can Learn Universal Cross-lingual Sentence Embeddings. | Yau-Shian Wang, Ashley Wu, Graham Neubig |
| 2019 | EMNLP | Tree Transformer: Integrating Tree Structures into Self-Attention. | Yau-Shian Wang, Hung-yi Lee, Yun-Nung Chen |
| 2018 | EMNLP | Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks. | Yau-Shian Wang, Hung-yi Lee |
| 2018 | ICASSP | Scalable Sentiment for Sequence-to-Sequence Chatbot Response with Performance Analysis. | Chih-Wei Lee, Yau-Shian Wang, Tsung-Yuan Hsu, Kuan-Yu Chen, Hung-yi Lee, Lin-Shan Lee |