中科院计算所视觉信息处理与学习组
中科院计算所视觉信息处理与学习组
许倩倩 (Qianqian Xu)

职 称:副研究员 (Associate Professor)

研究方向:数据挖掘、机器学习

许倩倩,中科院计算所副研究员,硕士生导师,IEEE高级会员。研究领域为数据挖掘和机器学习,主要关注基于几何拓扑的网络众包策略研究问题,涉及:统计排序、采样机制、异常样本检测、用户行为分析等,相关成果已发表在TPAMI、ICML、AAAI、ACM Multimedia等相关领域主流国际期刊与会议上。作为项目负责人或研究骨干,承担和参与了多项国家和省部级项目的研究,包括国家973课题、863计划项目、国家自然科学基金重点项目,国家自然科学基金应急项目、国家自然科学基金面上和青年项目、中国博士后基金特等资助、中国博士后基金面上资助(一等)等。目前担任CSVT、TMM、ICML、NIPS、AAAI、ACM Multimedia、ICLR等多个刊物的审稿人。先后获得:吴文俊人工智能优秀青年奖,中国人工智能学会(CAAI)优秀博士学位论文,中科院百篇优秀博士学位论文,中科院青促会会员、中科院院长优秀奖、ECCV2018 VisDrone竞赛国际第二名、CCF-腾讯犀牛鸟科研基金、中科院所级青年之星等奖励。

经历
教育经历
  • 2003.9-2007.7 中国矿业大学 学士
  • 2007.9-2013.7 中国科学院大学 博士 (免试)
学术经历
  • 2018.3-至今 中科院计算所智能信息处理重点实验室 副研究员
  • 2015.10-2018.3 中科院信工所信息安全国家重点实验室 副研究员
  • 2015.7-2015.10 中科院信工所信息安全国家重点实验室 助理研究员
  • 2013.7-2015.7 北京大学国际数学中心 博士后
科研项目

1.   网络众包比对数据异常值检测

项目类型:CCF-腾讯犀牛鸟科研基金
项目时间:2017/10-2018/10
项目负责人:许倩倩

2.   基于几何拓扑的网络众包数据分析

项目类型:北京市自然科学基金面上项目
项目时间:2018/01-2020/12
项目负责人:许倩倩

3.   基于几何拓扑的网络众包策略研究

项目类型:国家自然科学基金面上项目
项目时间:2017/01-2020/12
项目负责人:许倩倩
著论

论文

1.  Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao, “From Social to Individuals: a Parsimonious Path of Multi-level Models for Crowdsourced Preference Aggregation”, IEEE Transactions on Pattern  Analysis and Machine Intelligence, PAMI, 2018. (Regular paper)

2.  Qianqian Xu, Jiechao Xiong, Xiaochun Cao, and Yuan Yao, “False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking”, International Conference on Machine Learning, ICML 2016, 1282--1291, New York City, NY, USA, Jun 19-24, 2016. (Oral)

3.  Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang and Yuan Yao, "A Margin-based MLE for Crowdsourced Partial Ranking", ACM Conference on Multimedia, ACM MM 2018, Seoul, Korea, Oct 22-26, 2018. (Full paper) 

4.  Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, and Yuan Yao, “Exploring Outliers in Crowdsourced Ranking for QoE”, ACM Conference on Multimedia, ACM MM 2017, 1540--1548, Mountain View, CA, USA, Oct 23-27, 2017. (Full paper, Oral)

5.  Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, and Yuan Yao, HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation, AAAI 2018, New Orleans, LA, USA, Feb 2-7, 2018. (Oral)

6.  Qianqian Xu, Jiechao Xiong, Xiaochun Cao, and Yuan Yao, “Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation”, ACM Conference on Multimedia, ACM MM 2016, 841--850, Amsterdam, The Netherlands, Oct 15-19, 2016. (Full paper) 

7.  Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao, “Robust Evaluation for Quality of Experience in Crowdsourcing”, ACM Conference on Multimedia, ACM MM 2013, 43--52, Barcelona, Spain, Oct 21-25, 2013. (Full paper)

8.  Qianqian Xu, Qingming Huang and Yuan Yao, “Online Crowdsourcing Subjective Image Quality Assessment”, ACM Conference on Multimedia, ACM MM 2012, 359-368, Nara, Japan, Oct 29 - Nov 02, 2012. (Full paper)

9.  Qianqian Xu, Tingting Jiang, Yuan Yao, Qingming Huang, Bowei Yan and Weisi Lin, “Random Partial Paired Comparison for Subjective Video Quality Assessment via HodgeRank”, ACM Conference on Multimedia, ACM MM 2011, 393--402, Scottsdale, AZ, USA, Nov 28 - Dec 1, 2011. (Full paper)

10.  Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao, “Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation”, IEEE Transactions on Multimedia, vol. 16, no. 2, pp. 373-386, Feb. 2014. (Regular paper)

11. Qianqian Xu, Qingming Huang, Tingting Jiang, Bowei Yan, Weisi Lin and Yuan Yao, “HodgeRank on Random Graphs for Subjective Video Quality Assessment”, IEEE Transactions on Multimedia, vol. 14, no. 3, pp. 844-857, Jun. 2012. (Regular paper)

12. Zhiyong Yang, Qianqian Xu, Xiaochun Cao and Qingming Huang, Learning Personalized Attribute Preference via Multi-task AUC Optimization, AAAI 2019, Honolulu, Hawaii, USA, Jan 27 - Feb 1, 2019.

13. Ke Ma, Qianqian Xu, Zhiyong Yang and Xiaochun Cao, Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin, AAAI 2019, Honolulu, Hawaii, USA, Jan 27 - Feb 1, 2019.

14. Ke Ma, Qianqian Xu and Xiaochun Cao, Robust Ordinal Embedding from Contaminated Relative Comparisons, AAAI 2019, Honolulu, Hawaii, USA, Jan 27 - Feb 1, 2019.

15. Zhiyong Yang, Qianqian Xu, Xiaochun Cao and Qingming Huang, From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions, AAAI 2018, New Orleans, LA, USA, Feb 2-7, 2018.

16. Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao and Qingming Huang, When to Learn What: Deep Cognitive Subspace Clustering, ACM MM 2018, Seoul, Korea, Oct 22-26, 2018.

17. Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu and Yuan Yao, Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size, AAAI 2018, New Orleans, LA, USA, Feb 2-7, 2018.





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