[Here is My Latest Curriculum Vitae]

Education

• I am now a Ph.D. student at CMU, advised by Prof. Leman Akoglu.
• I am a Graduate Student Associate in DATA Lab, Carnegie Mellon University.
• My research interests lie in deep learning and representation learning, as well as their applications in recommender systems, natural language processing and anomaly detection. If you are interested in working or discussing interesting research topics with me, please feel free to drop me an email.
• I received my Bachelor’s Degree in Shanghai Jiao Tong University, where I worked as a Research Assistant at Machine Learning group in Apex Data and Knowledge Mangement Lab, advised by Prof. Weinan Zhang, Prof. Yong Yu and Prof. Jun Wang.

Publications

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors’ Demonstration

Xuejian Wang*, Lantao Yu*(equal contribution), Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang. The 23rd SIGKDD Conference on Knowledge Discovery and Data Mining. KDD 2017.

Neural Link Prediction over Aligned Networks

Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu. The Thirty-Second AAAI Conference on Artificial Intelligence AAAI 2018.

Large-scale Interactive Recommendation with Tree-structured Policy Gradient

Haokun Chen, Xinyi Dai, Weinan Zhang, Han Cai, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu. The Thirty-Third AAAI Conference on Artificial Intelligence AAAI 2019.

Research Experience

• Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors Demonstration.
  Accepted as a full paper at KDD 2017. Dec. 2016 - Feb. 2017
• Neural Link Prediction over Aligned Networks <\i>
  Accepted as a full paper at AAAI 2018. Aug.2017 - Sep.2017
• KDD China Summer School Graduates

Talks

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors’ Demonstration

June 29, 2017

Talk at SMP-KDD, Alibaba Group Corporate Campus, Hangzhou, China

Honors

For more details, please view my CV.