基本信息
许倩倩  女  硕导  中国科学院计算技术研究所
电子邮件: xuqianqian@ict.ac.cn
通信地址: 北京市海淀区科学院南路6号
邮政编码: 100190

研究领域

数据挖掘、机器学习、多媒体分析

教育背景

2007-09--2013-07   中国科学院大学   工学博士
2003-09--2007-07   中国矿业大学   理学学士

工作经历

   

2018.03 - 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 - 2018.03 中科院信工所信息安全国家重点实验室 副研究员

2015.07 - 2015.10 中科院信工所信息安全国家重点实验室 助理研究员

2013.07 - 2015.07 北京大学国际数学中心 博士后


专利与奖励

吴文俊人工智能优秀青年奖 2018

中国人工智能学会最佳青年成果奖 2018

ACM中国SIGMM新星奖 2018

中国人工智能学会优秀博士学位论文 2015

中国计算机学会优秀博士学位论文提名 2014

中科院百篇优秀博士学位论文 2014

中科院青促会会员 2018

中科院院长优秀奖 2014

ECCV2018 VisDrone竞赛国际第二名 2018

CCF-腾讯犀牛鸟科研基金 2017

中科院所级青年之星 2017

中科院所级优秀员工 2017

奖励信息
(1) 吴文俊人工智能优秀青年奖, 国家级, 2018
(2) 中国人工智能学会最佳青年成果奖, 国家级, 2018
(3) 中科院青促会会员, 部委级, 2018
(4) ACM中国SIGMM新星奖, 其他, 2018
(5) 中国人工智能学会优秀博士学位论文, 国家级, 2015
(6) 中科院百篇优秀博士学位论文, 部委级, 2014
专利成果
( 1 ) 一种视频质量评价方法, 发明, 2014, 第 2 作者, 专利号: ZL 2011 1 0195375.4
( 2 ) 一种视频质量客观评价方法, 发明, 2015, 第 2 作者, 专利号: ZL 2011 1 0194206.9

科研活动

   
科研项目
( 1 ) 基于网络众包的图像视频质量评价方法研究, 主持, 国家级, 2015-01--2016-06
( 2 ) 基于几何拓扑的网络众包策略研究, 主持, 国家级, 2017-01--2020-12
( 3 ) 基于几何拓扑的网络众包数据分析, 主持, 省级, 2017-01--2020-12
( 4 ) 网络众包比对数据异常值检测, 主持, 院级, 2017-10--2018-10
( 5 ) 中科院青年促进会会员, 主持, 部委级, 2018-01--2021-12
( 6 ) 跨模态医疗分析推理技术与系统, 参与, 国家级, 2019-12--2023-12
( 7 ) 基于网络众包的 主观视觉属性, 主持, 国家级, 2020-01--2023-12

发表论文

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, vol. 41, no. 4, pp. 844--856, Apr. 2019. (Regular paper)

2. Zhiyong Yang, Qianqian Xu, Xiaochun Cao and Qingming Huang. "Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction", IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI, 2020.  (In press)

3.  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)

4.  Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, and Yuan Yao, "iSplit LBI: Individualized Partial Ranking with Ties via Split LBI", Annual Conference on Neural Information Processing Systems, NeurIPS 2019, 3896--3906, Vancouver, Canada, December 8-14, 2019. (Poster)

5.  Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, and Yuan Yao, "Deep Robust Subjective Visual Property Prediction in Crowdsourcing", International Conference on Computer Vision and Pattern Recognition, CVPR 2019, 8993--9001, Long Beach, CA, USA, Jun 16-20, 2019.  (Poster)

6.  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, 591--599, Seoul, Korea, Oct 22-26, 2018. (Full paper) 

7.  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)

8.  Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao, "Who Likes What? – SplitLBI in Exploring Preferential Diversity of Ratings", AAAI Conference on Artificial Intelligence, AAAI 2020, NewYork Midtown, New York, USA, Feb 7-12, 2020. (Oral) 

9.  Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, and Yuan Yao, "HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation", AAAI Conference on Artificial Intelligence, AAAI 2018, 4326--4334, New Orleans, LA, USA, Feb 2-7, 2018. (Oral)

10.  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) 

11.  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)

12.  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)

13.  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)

14.  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)

15. 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)

16. Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, and Qingming Huang, "Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer", Annual Conference on Neural Information Processing Systems, NeurIPS 2019, 5846--5857, Vancouver, Canada, December 8-14, 2019. (Poster)

17. Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang, "DM2C: Deep Mixed-Modal Clustering", Annual Conference on Neural Information Processing Systems, NeurIPS 2019, 5880--5890, Vancouver, Canada, December 8-14, 2019. (Spotlight)

18. Zuyao Chen, Qianqian Xu, Runmin Cong, Qingming Huang, “Global Context-Aware Progressive Aggregation Network for Salient Object Detection”, AAAI Conference on Artificial Intelligence, AAAI 2020, NewYork Midtown, New York, USA, Feb 7-12, 2020. (Oral) 

19. Zhiyong Yang, Qianqian Xu, Xiaochun Cao and Qingming Huang, "Learning Personalized Attribute Preference via Multi-task AUC Optimization", AAAI Conference on Artificial Intelligence, AAAI 2019, 5660--5667, Honolulu, Hawaii, USA, Jan 27 - Feb 1, 2019. (Oral)

20. Ke Ma, Qianqian Xu, Zhiyong Yang and Xiaochun Cao, "Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin", AAAI Conference on Artificial Intelligence, AAAI 2019, 2978--2985, Honolulu, Hawaii, USA, Jan 27 - Feb 1, 2019.

21. Ke Ma, Qianqian Xu and Xiaochun Cao, "Robust Ordinal Embedding from Contaminated Relative Comparisons, AAAI Conference on Artificial Intelligence", AAAI 2019, 7908--7915, Honolulu, Hawaii, USA, Jan 27 - Feb 1, 2019.

22. Zhiyong Yang, Qianqian Xu, Xiaochun Cao and Qingming Huang, "From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions", AAAI Conference on Artificial Intelligence, AAAI 2018, 515--522, New Orleans, LA, USA, Feb 2-7, 2018.

23. Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao and Qingming Huang, "Collaborative Preference Embedding against Sparse Labels", ACM Conference on Multimedia, ACM MM 2019, 2079--2087, Nice, France, Oct 21-25, 2019.  (Full paper, Oral)

24. Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao and Qingming Huang, "Adversarial Preference Learning with Pairwise Comparisons", ACM Conference on Multimedia, ACM MM 2019, 656--664, Nice, France, Oct 21-25, 2019.   (Full paper, Oral)

25. Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang, "Duet Robust Deep Subspace Clustering", ACM Conference on Multimedia, ACM MM 2019, 1596--1604, Nice, France, Oct 21-25, 2019.   (Full paper, Spotlight)

26. Zhiyong Yang, Qianqian Xu, Weigang Zhang, Xiaochun Cao, and Qingming Huang, "Split Multiplicative Multi-view Subspace Clustering", IEEE Transactions on Image Processing, vol. 28, no. 10, pp. 5147-5160, May 2019. (Regular paper)

27. Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao and Qingming Huang, "When to Learn What: Deep Cognitive Subspace Clustering", ACM Conference on Multimedia, ACM MM 2018, 718--726, Seoul, Korea, Oct 22-26, 2018.

28. 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 Conference on Artificial Intelligence, AAAI 2018, 3738--3745, New Orleans, LA, USA, Feb 2-7, 2018.

29. Wenqi Ren, Sifei Liu, Lin Ma, Qianqian Xu, Xiangyu Xu, Xiaochun Cao, Junping Du, and Ming-Hsuan Yang, "Low-Light Image Enhancement via a Deep Hybrid Network", IEEE Transactions on Image Processing, vol. 28, no. 9, pp. 4364--4375, Sep. 2019. (Regular paper)

30. Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu and Yuan Yao, "Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size", IEEE Transactions on Knowledge and Data Engineering, 2020. (Early Access)



For more information, please refer to https://qianqianxu010.github.io/