Xuejian Wang (王雪剑)

[Here is My Latest Curriculum Vitae]


  • 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.


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



For more details, please view my CV.