徐 童


E-Mail： tongxu@ustc.tsg211.com

个人主页：http://staff.ustc.tsg211.com/~tongxu/   


主要研究方向： 数据挖掘，商务智能，社交媒体分析


徐童，图书馆VIP特任教授、博士生导师。2010年于浙江大学数学系获理科学士学位，2016年于图书馆VIP获工学博士学位。现任中国中文信息学会青年工作委员会副秘书长、中国中文信息学会情感计算专委会执行委员。研究领域为数据挖掘与社交媒体分析。发表中国计算机学会推荐A类期刊/会议论文60余篇。主持包括国家优秀青年科学基金在内的国家、省部级科研项目及校企合作项目10余项。获2项国际学术会议最佳论文奖或提名，指导学生获国内外8项学术竞赛/测评冠军。受邀担任自然语言理解国际旗舰学术会议ACL 2023大会宣传主席、及ACL、COLING、AACL、ICKG等国际会议领域主席。2022年获安徽省计算机学会优秀青年科学家奖。


获奖情况：

  1. 2023，安徽省教学成果一等奖
  2. 2022，安徽省教学成果一等奖
  3. 2022，安徽省计算机学会优秀青年科学家奖
  4. 2021，CICAI 2021 最佳学生论文奖候选
  5. 2020，KSEM 2020 最佳论文奖



十篇代表性论著：

以下仅列出10篇代表作，均为中国计算机学会推荐A类期刊/会议论文

  1. Tong Xu, Hengshu Zhu, Hui Xiong, Hao Zhong, Enhong Chen, Exploring the Social Learning of Taxi Drivers in Latent Vehicle-to-Vehicle Network, IEEE Transactions on Mobile Computing (IEEE TMC), 2020, 19(8), 1804-1817.

  2. Tong Xu, Hengshu Zhu, Hao Zhong, Guannan Liu, Hui Xiong, Enhong Chen, Exploiting the Dynamic Mutual Influence for Predicting Social Event Participation, IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE), 2019, 31(6), 1122-1135.

  3. Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Chao Ma, Enhong Chen, Hui Xiong, An Enhanced Neural Network Approach to Person-Job Fit in Talent Recruitment, ACM Transactions on Information Systems (ACM TOIS), 2020, 38(2):15.

  4. Tong Xu, Hengshu Zhu, Chen Zhu, Pan Li, and Hui Xiong, Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach, AAAI'18, New Orleans, LA, USA, 2018, 2572-2579.

  5. Le Dai, Yu Yin, Chuan Qin, Tong Xu*, Xiangnan He, Enhong Chen, Hui Xiong, Enterprise Cooperation and Competition Analysis with Sign-Oriented Preference Network, KDD'20, San Diego, CA, USA, 2020, 774-782. 

  6. Shuangli Li, Jingbo Zhou, Hao Liu, Xinjiang Lu, Tong Xu and Hui Xiong, Competitive Analysis for Points of Interest, KDD'20, San Diego, CA, USA, 2020, 1265-1274. 

  7. Le Zhang, Tong Xu*, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen, Large-Scale Talent Flow Embedding for Company Competitive Analysis, WWW'20, Taipei, China, 2020, 2354-2364.

  8. Xunxian Wu, Tong Xu*, Hengshu Zhu, Le Zhang, Hui Xiong, Enhong Chen, Trend-Aware Tensor Factorization for Job Skill Demand Analysis, IJCAI'19, Macau, China, 2019, 3891-3897.

  9. Hao Wang, Tong Xu*, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu and Wen Su, MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network, KDD'19, Anchorage, AK, USA, 2019, 1064-1072.

  10. Le Zhang, Hengshu Zhu, Tong Xu*, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen, Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model, WWW'19, San Francisco, CA, USA, 2019, 2312-2322.