| 2026 | ACL | LiveCLKTBench: Towards Reliable Evaluation of Cross-Lingual Knowledge Transfer in Multilingual LLMs. | Pei-Fu Guo, Yun-Da Tsai, Chun-Chia Hsu, Kai-Xin Chen, Ya-An Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin |
| 2026 | ACL | Beyond Facts- Benchmarking Distributional Reading Comprehension in Large Language Models. | Pei-Fu Guo, Ya-An Tsai, Chun-Chia Hsu, Kai-Xin Chen, Yun-Da Tsai, Kai-Wei Chang, Nanyun Peng, Mi-Yen Yeh, Shou-De Lin |
| 2026 | ACL | CoopValue: Revealing LLM Value Preferences Through Multi-Agent Cooperation. | Zee Hen Tang, Mi-Yen Yeh |
| 2025 | NAACL | STAR: Spectral Truncation and Rescale for Model Merging. | Yu-Ang Lee, Ching-Yun Ko, Tejaswini Pedapati, I-Hsin Chung, Mi-Yen Yeh, Pin-Yu Chen |
| 2025 | PAKDD | Few-Shot Unlearning for Large Language Models Through Pretrained Soft Prompts. | Zee Hen Tang, Mi-Yen Yeh |
| 2023 | CIKM | EAGLE: Enhance Target-Oriented Dialogs by Global Planning and Topic Flow Integration. | Zee Hen Tang, Mi-Yen Yeh |
| 2023 | PAKDD | UPGAT: Uncertainty-Aware Pseudo-neighbor Augmented Knowledge Graph Attention Network. | Yen-Ching Tseng, Zu-Mu Chen, Mi-Yen Yeh, Shou-De Lin |
| 2021 | AAAI | PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding. | Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo |
| 2021 | AAAI | Accelerating Continuous Normalizing Flow with Trajectory Polynomial Regularization. | Han-Hsien Huang, Mi-Yen Yeh |
| 2021 | DASFAA | Multi-head Attention with Hint Mechanisms for Joint Extraction of Entity and Relation. | Chih-Hsien Fang, Yi-Ling Chen, Mi-Yen Yeh, Yan-Shuo Lin |
| 2021 | DSAA | NEDRL-CIM: Network Embedding Meets Deep Reinforcement Learning to Tackle Competitive Influence Maximization on Evolving Social Networks. | Khurshed Ali, Chih-Yu Wang, Mi-Yen Yeh, Cheng-Te Li, Yi-Shin Chen |
| 2021 | PAKDD | Exploiting Relevant Hyperlinks in Knowledge Base for Entity Linking. | Szu-Yuan Cheng, Yi-Ling Chen, Mi-Yen Yeh, Bo-Tao Lin |
| 2019 | WWW | MARINE: Multi-relational Network Embeddings with Relational Proximity and Node Attributes. | Ming-Han Feng, Chin-Chi Hsu, Cheng-Te Li, Mi-Yen Yeh, Shou-De Lin |
| 2018 | KDD | Deep Censored Learning of the Winning Price in the Real Time Bidding. | Wush Chi-Hsuan Wu, Mi-Yen Yeh, Ming-Syan Chen |
| 2015 | DSAA | Learning better while sending less: Communication-efficient online semi-supervised learning in client-server settings. | Han Xiao, Shou-De Lin, Mi-Yen Yeh, Phillip B. Gibbons, Claudia Eckert |
| 2015 | KDD | Predicting Winning Price in Real Time Bidding with Censored Data. | Wush Chi-Hsuan Wu, Mi-Yen Yeh, Ming-Syan Chen |
| 2015 | PAKDD | Trend-Based Citation Count Prediction for Research Articles. | Cheng-Te Li, Yu-Jen Lin, Rui Yan, Mi-Yen Yeh |
| 2014 | DSAA | Influence maximization in a social network in the presence of multiple influences and acceptances. | Jun-Li Lu, Ling-Yin Wei, Mi-Yen Yeh |
| 2014 | DSAA | Information diffusion among users on Facebook fan pages over time: Its impact on movie box office. | Wan-Hsin Tang, Mi-Yen Yeh, Anthony J. T. Lee |
| 2014 | VCIP | Communication-efficient multi-view keyframe extraction in distributed video sensors. | Shun-Hsing Ou, Yu-Chen Lu, Jui-Pin Wang, Shao-Yi Chien, Shou-De Lin, Mi-Yen Yeh, Chia-Han Lee, Phillip B. Gibbons, V. Srinivasa Somayazulu, Yen-Kuang Chen |
| 2013 | ICDE | On shortest unique substring queries. | Jian Pei, Wush Chi-Hsuan Wu, Mi-Yen Yeh |
| 2013 | ICDM | Communication-Efficient Distributed Multiple Reference Pattern Matching for M2M Systems. | Jui-Pin Wang, Yu-Chen Lu, Mi-Yen Yeh, Shou-De Lin, Phillip B. Gibbons |
| 2013 | ICDM | An Efficient Approach to Updating Closeness Centrality and Average Path Length in Dynamic Networks. | Chia-Chen Yen, Mi-Yen Yeh, Ming-Syan Chen |
| 2013 | Mobisys | An anonymous matching system based on mobile numbers. | Jen-Hai Chou, Mi-Yen Yeh |
| 2013 | PAKDD | Influential Nodes in a One-Wave Diffusion Model for Location-Based Social Networks. | Hao-Hsiang Wu, Mi-Yen Yeh |
| 2013 | SAC | MLC-flash-friendly logging and recovery for databases. | Hua-Wei Fang, Mi-Yen Yeh, Tei-Wei Kuo |
| 2012 | ICDE | Random Error Reduction in Similarity Search on Time Series: A Statistical Approach. | Wush Chi-Hsuan Wu, Mi-Yen Yeh, Jian Pei |
| 2011 | PAKDD | On Sampling Type Distribution from Heterogeneous Social Networks. | Jhao-Yin Li, Mi-Yen Yeh |
| 2010 | PAKDD | Subsequence Matching of Stream Synopses under the Time Warping Distance. | Su-Chen Lin, Mi-Yen Yeh, Ming-Syan Chen |
| 2009 | EDBT | PROUD: a probabilistic approach to processing similarity queries over uncertain data streams. | Mi-Yen Yeh, Kun-Lung Wu, Philip S. Yu, Ming-Syan Chen |
| 2006 | PAKDD | COMET: Event-Driven Clustering over Multiple Evolving Streams. | Mi-Yen Yeh, Bi-Ru Dai, Ming-Syan Chen |
| 2004 | ICDM | Clustering on Demand for Multiple Data Streams. | Bi-Ru Dai, Jen-Wei Huang, Mi-Yen Yeh, Ming-Syan Chen |