Detecting Unknown Malicious Executables Using Portable Executable Headers. - Tzu-Yen Wang; Chin-Hsiung Wu; Chu-Cheng Hsieh (NCM, 2009)

Finding similar items by leveraging social tag clouds. - Chu-Cheng Hsieh; Junghoo Cho (SAC, 2012)

Incorporating popularity in topic models for social network analysis. - Youngchul Cha; Bin Bi; Chu-Cheng Hsieh; Junghoo Cho (SIGIR, 2013)

Recommendation Strategies Based on User-Generated Data. - Chu-Cheng Hsieh (2013)

A Short-Term Bookmarking System for Collecting User-Interest Data. - Chu-Cheng Hsieh; Yoni Medoff; Naren Chittar (PAKDD Workshops, 2014)

Efficient approximate thompson sampling for search query recommendation. - Chu-Cheng Hsieh; James Neufeld; Tracy Holloway King; Junghoo Cho (SAC, 2015)

Monetary Discount Strategies for Real-Time Promotion Campaign. - Ying-Chun Lin; Chi-Hsuan Huang; Chu-Cheng Hsieh; Yu-Chen Shu; Kun-Ta Chuang (WWW, 2017)

Effective Quality Assurance for Data Labels through Crowdsourcing and Domain Expert Collaboration. - Wei Lee; Chien-Wei Chang; Po-An Yang; Chi-Hsuan Huang; Ming-Kuang Wu; Chu-Cheng Hsieh; Kun-Ta Chuang (EDBT, 2018)

Isa: Intuit Smart Agent, A Neural-Based Agent-Assist Chatbot. - Zijun Xue; Ting-Yu Ko; Neo Yuchen; Ming-Kuang Daniel Wu; Chu-Cheng Hsieh (ICDM Workshops, 2018)

Bridging Mixture Density Networks with Meta-Learning for Automatic Speaker Identification. - Ruirui Li 002; Jyun-Yu Jiang; Xian Wu 001; Hongda Mao; Chu-Cheng Hsieh; Wei Wang 010 (ICASSP, 2020)

Speaker Identification for Household Scenarios with Self-Attention and Adversarial Training. - Ruirui Li 002; Jyun-Yu Jiang; Xian Wu 001; Chu-Cheng Hsieh; Andreas Stolcke (INTERSPEECH, 2020)

Automatic Speaker Recognition with Limited Data. - Ruirui Li 002; Jyun-Yu Jiang; Jiahao Liu; Chu-Cheng Hsieh; Wei Wang 010 (WSDM, 2020)

Interpretable Attribute-based Action-aware Bandits for Within-Session Personalization in E-commerce. - Xu Liu 016; Congzhe Su; Amey Barapatre; Xiaoting Zhao; Diane Hu; Chu-Cheng Hsieh; Jingrui He (IEEE Data Eng. Bull., 2021)

Toward Pareto Efficient Fairness-Utility Trade-off in Recommendation through Reinforcement Learning. - Yingqiang Ge; Xiaoting Zhao; Lucia Yu; Saurabh Paul; Diane Hu; Chu-Cheng Hsieh; Yongfeng Zhang (WSDM, 2022)

Toward Pareto Efficient Fairness-Utility Trade-off inRecommendation through Reinforcement Learning. - Yingqiang Ge; Xiaoting Zhao; Lucia Yu; Saurabh Paul; Diane Hu; Chu-Cheng Hsieh; Yongfeng Zhang (CoRR, 2022)