● Yangyang Zhao, Zhenyu Wang*, Kai Yin, Rui Zhang, Zhenhua Huang. Dynamic Reward-based Dueling Deep Dyna-Q: Robust Policy Learning in Noisy Environments[C]//In Thirty-Fourth AAAI Conference on Artificial Intelligence. (Accepted) [pdf] [bib]


Rui Zhang, Zhenyu Wang*, Kai Yin, Zhenhua Huang. Emotional Text Generation Based on Cross-Domain Sentiment Transfer[J]. IEEE Access, 2019, 7: 100081-100089. [pdf] [bib]

● Zhenhua Huang, Zhenyu Wang*, and Rui Zhang. Cascade2vec: Learning Dynamic Cascade Representation by Recurrent Graph Neural Networks[J]. IEEE Access, 2019, 7: 144800-144812. [pdf] [bib]

● Zhenhua Huang, Zhenyu Wang*, Rui Zhang, Yangyang Zhao, Xiaohui Xie, and Sharad Mehrotra. Network2Vec: Learning Node Representation Based on Space Mapping in Networks[C]//Proceedings of the IEEE ICDM Workshop on Social Computing, 2019. [pdf] [bib]

● 赵阳洋, 王振宇*, 王佩, 杨添, 张睿, 尹凯. “任务型对话系统研究综述.” 计算机学报.2019:1-39.
   Yangyang Zhao, Zhenyu Wang*, Pei Wang, Tian Yang, Rui Zhang, Kai Yin. A Survey on Task-Oriented Dialogue Systems[J]. Chinese Journal of Computers, 2019:1-39. [pdf] [bib]

● 王振宇*, 张睿, 高雨轩, 萧永乐. “基于标签深度分析的音乐自动标注算法.” 华南理工大学学报 (自然科学版) 47.8 (2019).
   Zhenyu Wang*, Rui Zhang, Yuxuan Gao, Yongle Xiao. Music Auto-tagging Algorithm Based on Deep Analysis on Labels[J]. Journal of South China University of Technology (Natural Science Edition), 2019, 47(08):71-76. [pdf] [bib]

— 2018 —

Rui Zhang, Zhenyu Wang*. Learning to Converse Emotionally Like Humans: A Conditional Variational Approach[C]//CCF International Conference on Natural Language Processing and Chinese Computing. Springer, Cham, 2018: 98-109. [pdf] [bib] [code(tensorflow)] [code(pytorch)]

● Zehao Guo, Zhenyu Wang*, and Rui Zhang. MMCRD: An Effective Algorithm for Deploying Monitoring Point on Social Network[C]//China Conference on Knowledge Graph and Semantic Computing. Springer, Singapore, 2018:40-51. [pdf] [bib]

— 2017 —

Rui Zhang, Zhenyu Wang*, and Dongcheng Mai.Building Emotional Conversation Systems using Multi-task Seq2Seq Learning[C]//National CCF Conference on Natural Language Processing and Chinese Computing. Springer, Cham, 2017: 612-621. [pdf] [bib]