Jung-Jung Yeh

Publication Activity (10 Years)

Years Active: 2008-2020
Publications (10 Years): 2

Top Topics

Reinforcement Learning

String Matching

Highly Accurate

Top Venues

EMNLP (Findings)

Publications

Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
DiPair: Fast and Accurate Distillation for Trillion-Scale Text Matching and Pair Modeling. CoRR (2020)
Jiecao Chen, Liu Yang, Karthik Raman, Michael Bendersky, Jung-Jung Yeh, Yun Zhou, Marc Najork, Danyang Cai, Ehsan Emadzadeh
DiPair: Fast and Accurate Distillation for Trillion-ScaleText Matching and Pair Modeling. EMNLP (Findings) (2020)
Jung-Jung Yeh, Tsung-Ting Kuo, William Chen, Shou-De Lin
Minimizing expected loss for risk-avoiding reinforcement learning. DSAA (2014)
Tsung-Ting Kuo, Jung-Jung Yeh, Chih-Jen Lin, Shou-De Lin
Designing, Analyzing and Exploiting Stake-Based Social Networks. ASONAM (2010)
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
Learning to improve area-under-FROC for imbalanced medical data classification using an ensemble method. SIGKDD Explor. 10 (2) (2008)