Xin Xin(辛欣，北京理工大学)

I am currently an associate professor in Beijing Institute of Technology (Director: Prof. Heyan Huang). Before, I obtained the bachelor degree and the master degree (Supervisor: Prof. Juanzi Li) from Tsinghua University (Beijing) in 2006 and 2008, respectively, and obtained the Ph. D degree (Supervisor: Prof. Irwin King and Prof. Michael R. Lyu) from the Chinese University of Hong Kong (Hong Kong, China) in 2011. I visited Microsoft Asia under the "Star Track" program (Collaboration Mentor: Chin-Yew Lin) in 2013. My research interests are focusing on the structure prediction problem, based on designing the architecture of probabilistic graphical models and investigating the information fusion technique for heterogeneous features. I have applied these theories in the areas of natural language processing, knowledge engineering, and information retrieval. I select some of my work below.

1. Insterested Theory: Structure Prediction Approaches

1.1 Designing the Architecture of Probabilistic Graphical Models

• Recursive Semi-Markov model
  Xin Xin, Jinlong Li, and Zeqi Tan. N-ary Constituent Tree Parsing with Recursive Semi-Markov Model. In Proceedings of the ACL 2021 (CCF A).
• An unified model of semi-CRF and tree-CRF:
  Rui Wang, Xin Xin, Wei Chang, Kun Ming, Biao Li, and Xin Fan. Chinese NER with Height Limited Constituent Parsing. In Proceedings of the AAAI 2019 (CCF A). (Corresponding)
• Multi-layer continuous CRF:
  Xin Xin, Irwin King, Hongbo Deng and Michael R. Lyu. A Social Recommendation Framework Based on Multi-scale Continuous Conditional Random Fields. In Proceedings of the CIKM 2009 (CCF B).
• Constrained tree-structure CRF:
  Xin Xin, Juanzi Li, Jie Tang and Qiong Luo. Academic Conference Homepage Understanding Using Constrained Hierarchical Conditional Random Fields. In Proceedings of the CIKM 2008 (CCF B).

1.2 Investigating the Information Fusion Technique for Heterogeneous Features

• Information fusion by transfer learning:
  Xin Xin, Zhirun Liu, Chin-Yew Lin, Heyan Huang, Xiaochi Wei, Ping Guo. Cross-Domain Collaborative Filtering with Review Text. In Proceedings of the IJCAI 2015 (CCF A).
• Information fusion by multi-view learning:
  Xin Xin, Chunwei Lu, Yashen Wang, and Heyan Huang. Forecasting Collector Road Speeds Under High Percentage of Missing Data. In Proceedings of the AAAI 2015 (CCF A).
• Information fusion by space projection:
  Xin Xin, Xiaochi Wei, Chin-Yew Lin, Heyan Huang. When Factorization Meets Heterogenous Latent Topics: An Interpretable Cross-Site Recommendation Framework. JCST 2015 (CCF B).
• Information fusion by network diffusion:
  Xin Xin, Michael R. Lyu, and Irwin King. CMAP: Effective Fusion of Quality and Relevance for Multi-Criteria Recommendation. In Proceedings of the WSDM 2011 (CCF B).

2. Current Group Members

• Jinlong Li (李金龙), jointlee@qq.com
• Xionghui Tian (田雄辉), 1450846708@qq.com
• Zhiguo Huang (黄治国), 921708946@qq.com
• Haoyun Miao (苗昊雲), 1023463276@qq.com
• Jin Xu (徐进), 2377609177@qq.com
• Wenxue Ge (葛文雪), 1135365228@qq.com
• Yujie Wang (王宇杰), 295655839@qq.com
• Haolei Wu (吴昊磊), 1120171211@bit.edu.cn
• Zhengfei Xu (徐正斐), xuzhengfei-email@qq.com
• Jiaxuan Dong (董家暄), 867055628@qq.com
• Hongyu Chen (陈泓宇), 786761046@qq.com

3. Previous Group Members

• 李丽丽，腾讯
• 袁嘉乐，阿里巴巴
• 赖一多，阿里巴巴
• 王艳平，航天院
• 王艳，字节跳动
• 史秀杰，国家电网
• 刘明磊，中国工商银行
• 朱宗伟，Shopee
• 潘强，搜狗
• 王亚，中国交通银行
• 王睿，阿里巴巴（校级优秀毕业生）
• 张璐璐，网联清算有限公司
• 常薇，民生银行
• 仇金娟，华为
• 张快，凤凰网
• 马翠花，中国移动研究院
• 季鹏，中信银行
• 罗佩，航天院
• 胡健，中科院自动化所
• 张杰，美团
• 袁鹏，中信银行