Jung-Jung Yeh

According to our database, Jung-Jung Yeh authored at least 5 papers between 2008 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2020

DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling.

Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh

CoRR, 2020

DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling.

Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2014

Minimizing expected loss for risk-avoiding reinforcement learning.

Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, Shou-De Lin

Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2010

Designing, Analyzing and Exploiting Stake-Based Social Networks.

Tsung-Ting Kuo, Jung-Jung Yeh, Chih-Jen Lin, Shou-De Lin

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

2008

Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method.

Hung-Yi Lo, Chun-Min Chang, Tsung-Hsien Chiang, Cho-Yi Hsiao, Anta Huang, Tsung-Ting Kuo, Wei-Chi Lai, Ming-Han Yang, Jung-Jung Yeh, Chun-Chao Yen, Shou-De Lin

SIGKDD Explor., 2008