博士生导师
许倩倩 (Qianqian Xu) 副研究员 (Associate Professor)
电子邮箱: qianqian.xu@vipl.ict.ac.cn; xuqianqian@ict.ac.cn
通讯地址: 北京海淀区中关村科学院南路6号中科院计算所545号
研究方向: 数据挖掘、机器学习
个人简介

许倩倩,中科院计算所副研究员,博士生导师,国家优秀青年基金获得者。IEEE/CCF/CSIG高级会员,CSIG青工委副秘书长、CSIG多媒体专委会副秘书长,CAAI深度学习专委会副秘书长。研究领域为数据挖掘和机器学习,主要关注群智计算和知识图谱,已在TPAMI、IJCV、TIP、TKDE、ICML、NeurIPS、CVPR、AAAI、ACM Multimedia等国际期刊/会议上发表CCF-A类论文60余篇。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:科技创新2030—“新一代人工智能”重大项目、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。担任国际期刊TMM、T-CSVT、ACM TOMM和Multimedia Systems编委, 国际会议AAAI SPC、IJCAI SPC、ACM MM AC等。先后获得:吴文俊人工智能自然科学奖一等奖,中国图象图形学学会石青云女科学家奖,吴文俊人工智能优秀青年奖,中国人工智能学会最佳青年科技成果奖,ACM中国SIGMM新星奖, 中国人工智能学会优秀博士学位论文,中国计算机学会优秀博士学位论文提名,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、易方达金融科技奖教金、ECCV2018 VisDrone竞赛国际第二名、CCF-腾讯犀牛鸟科研基金、首届CAAI-华为MindSpore学术奖励基金、中科院所级青年之星、中科院所级优秀员工等奖励。2015年至今指导/联合指导博士生和硕士生10余名,其中1人次获得中国电子学会优博论文,1人次获得微软学者奖学金(亚太共12名),1人次入选2021年度AI华人新星榜单,1人次获得百度奖学金全球20强,1人次获得中科院院长特别奖(中科院共62人),1人次获得中科院百篇优秀博士学位论文,1人次获得中科院朱李月华优秀博士生奖,1人次获得中科院院长优秀奖,5人次获得博士生/硕士生国家奖学金,1人次获得海英之星奖学金,1人次获得所级优秀毕业生,3人次获得所长特别奖,2人次获得所长优秀奖。


指导/协助指导学生就业情况:

杨智勇(博士) 中国科学院大学(博新计划)博士后

马 坷(博士) 中国科学院大学博士后

陈祖耀(硕士) 香港理工大学博士

李朝鹏(硕士) 腾讯微信

郝前秀(硕士) 腾讯微信


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


学术服务
研究内容
著论

论文

1.  Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, and 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, TPAMI, vol. 41, no. 4, pp. 844--856, Apr. 2019. (Regular paper)

2.  Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, and Qingming Huang, "Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction", IEEE Transactions on Pattern Analysis and Machine Intelligence TPAMI, vol.44, no. 6, pp. 3154--3169, June. 2022.(Regular paper)

3.  Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, and Yuan Yao, "Evaluating Visual Properties via Robust HodgeRank", International Journal of Computer Vision, IJCV, vol. 129, no. 5, 1732--1753, Mar. 2021. (Regular paper)

4.  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, TPAMI, vol. 43, no. 11, 4094--4110, Nov. 2021. (Regular paper)

5.  Ke Ma, Qianqian Xu*, Jinshan Zeng, Xiaochun Cao, and Qingming Huang*, "Poisoning Attack against Estimating from Pairwise Comparisons", IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2021.(Regular paper, doi: 10.1109/TPAMI.2021.3087514)

6.  Zhiyong Yang, Qianqian Xu*, Shilong Bao, Xiaochun Cao, and Qingming Huang*, “Learning with Multiclass AUC: Theory and Algorithms”, IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2021. (Regular paper, doi: 10.1109/TPAMI.2021.3101125)

7. Tianwei Cao, Qianqian Xu*, Zhiyong Yang, and Qingming Huang*, "Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction", IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2021. (Regular paper, doi: 10.1109/TPAMI.2021.3103741)

8. Shilong Bao, Qianqian Xu*, Zhiyong Yang, Xiaochun Cao and Qingming Huang*, "Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling", IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2021. (Regular paper, doi: 10.1109/TPAMI.2022.3141095)

9. Zhiyong Yang, Qianqian Xu*, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang*, "Optimizing Two-way Partial AUC with an End-to-end Framework", IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2022. (Regular paper, doi: 10.1109/TPAMI.2022.3185311) 

10. Ke Ma, Qianqian Xu*, Jinshan Zeng, Guorong Li, Xiaochun Cao, and Qingming Huang*, "A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game", IEEE Transactions on Pattern Analysis and Machine Intelligence, TPAMI, 2022. (Regular paper, doi: 10.1109/TPAMI.2022.3190939) 

11.  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)

12.  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)

13.  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)

14.  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) 

15.  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)

16.  Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, and Qingming Huang, "Deep Partial Rank Aggregation for Personalized Attributes", AAAI Conference on Artificial Intelligence, AAAI 2021, 678--688, Virtual, Feb 2-9, 2021.

17.  Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, and Yuan Yao, "Who Likes What? – SplitLBI in Exploring Preferential Diversity of Ratings", AAAI Conference on Artificial Intelligence, AAAI 2020, 262--269, NewYork Midtown, New York, USA, Feb 7-12, 2020. (Oral)

18.  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)

19. 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) 

20.  Qianqian Xu, Jiechao Xiong, Qingming Huang, and 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)

21.  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)

22.  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)

23. Qianqian Xu, Jiechao Xiong, Qingming Huang, and 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)

24. 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)

25. Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, and Qingming Huang, "When All We Need is Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC", International Conference on Machine Learning, ICML 2021. (Long talk)

26. Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He and Qingming Huang, "AdAUC: End-to-end Adersarial AUC Optimization Against Long-tail Problems", International Conference on Machine Learning, ICML 2022.

27. 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)

28. 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)

29. Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, and Qingming Huang, "When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking", Annual Conference on Neural Information Processing Systems, NeurIPS 2021. (Poster)

30. Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen and Qingming Huang, "Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective", IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022. (Accepted)

31. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang, "Geometry Interaction Knowledge Graph Embeddings", AAAI Conference on Artificial Intelligence, AAAI 2022. (Full paper)

32. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, and Qingming Huang, "ER: Equivariance Regularizer for Knowledge Graph Completion", AAAI Conference on Artificial Intelligence, AAAI 2022. (Full paper)

33. Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, and Qingming Huang, "Quaternion Ordinal Embedding", International Joint Conference on Artificial Intelligence, IJCAI 2022. (Full paper, Accepted)

34. Qianxiu Hao, Qianqian Xu, Zhiyong Yang, and Qingming Huang, "Learning Unified Embeddings for Recommendation via Meta-path Semantics", ACM Conference on Multimedia, ACM MM 2021, 3909--3917, October 20-24, 2021. (Full paper, Oral)

35. Qianxiu Hao, Qianqian Xu, Zhiyong Yang, and Qingming Huang, "Pareto Optimality for Fairness-constrained Collaborative Filtering", ACM Conference on Multimedia, ACM MM 2021, 5619--5627, October 20-24, 2021. (Full paper)

36. Zitai Wang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang, "Implicit feedbacks are not always favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions", ACM Conference on Multimedia, ACM MM 2021, 3070--3078, October 20-24, 2021. (Full paper)

37. Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, and Qingming Huang, "Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association", IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2021, 16347--16356, Virtual, Jun 19-25, 2021.

38. Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, and Qingming Huang, “What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models”, AAAI Conference on Artificial Intelligence, AAAI 2021, 1708--1716, Virtual, Feb 2-9, 2021.

39. Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang, “Dual Quaternion Knowledge Graph Embeddings”, AAAI Conference on Artificial Intelligence, AAAI 2021, 6894--6902, Virtual, Feb 2-9, 2021.

40. Zuyao Chen, Qianqian Xu , Runmin Cong, and Qingming Huang, “Global Context-Aware Progressive Aggregation Network for Salient Object Detection”, AAAI Conference on Artificial Intelligence, AAAI 2020, 10599--10606, NewYork Midtown, New York, USA, Feb 7-12, 2020.(Oral)

41. Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, and Qingming Huang, "Quaternion-Based Knowledge Graph Network for Recommendation", ACM Conference on Multimedia, ACM MM 2020, 880--888, Virtual Event/Seattle, WA, USA, Oct 12-16, 2020. (Full paper, Oral)

42. Tianwei Cao, Qianqian Xu, Zhiyong Yang, and Qingming Huang, "Task-distribution-aware Meta-learning for Cold-start CTR Prediction", ACM Conference on Multimedia, ACM MM 2020, 3514--3522, Virtual Event/Seattle, WA, USA, Oct 12-16, 2020.  (Full paper)

43. 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)

44. 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.

45. 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.

46. 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.

47. 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)

48. 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)

49. 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)

50. 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)

51. Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, and Qingming Huang, "Neural Collaborative Preference Learning with Pairwise Comparisons", IEEE Transactions on Multimedia, vol. 23, pp. 1977-1989, Dec. 2021. (Regular paper)

52. Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, and Qingming Huang, " Recurrent Meta-Learning against Generalized Cold-start problem in CTR Prediction", ACM Conference on Multimedia, ACM MM 2022. (Full paper)

53. Junyu Chen, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, and Qingming Huang, "A Unified Framework against Topology and Class Imbalance", ACM Conference on Multimedia, ACM MM 2022. (Full paper)

54. Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, and Qingming Huang, "Confederated Learning: Going Beyond Centralization", ACM Conference on Multimedia, ACM MM 2022. (Full paper)

55. Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Haoyu Qin, and Qingming Huang, "Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation", ACM Conference on Multimedia, ACM MM 2022. (Full paper)

56. Peisong Wen, Ruolin Yang, Qianqian Xu, Chen Qian, Qingming Huang, Runmin Cong, and Jianlou Si, "DMVOS: Discriminative Matching for Real-time Video Object Segmentation", ACM Conference on Multimedia, ACM MM 2020, 2048--2056, Virtual Event/Seattle, WA, USA, Oct 12-16, 2020.  (Full paper)

57. Zhenhuan Liu, Liang Li, Shaofei Cai, Jincan Deng, Qianqian Xu, Shuhui Wang, and Qingming Huang, "IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning", ACM Conference on Multimedia, ACM MM 2020, 322--330, Virtual Event/Seattle, WA, USA, Oct 12-16, 2020.  (Full paper)

58. Chongyi Li, Huazhu Fu, Runmin Cong, Zechao Li, and Qianqian Xu, "NuI-Go: Recursive Non-local Encoder-Decoder Network for Retinal Image Non-uniform Illumination Removal", ACM Conference on Multimedia, ACM MM 2020, 1478--1487, Virtual Event/Seattle, WA, USA, Oct 12-16, 2020.  (Full paper)

59. 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.(Full paper)

60. 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.

61. 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)

62. 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, vol. 33, no. 6, pp. 2467--2478, Jun. 2021.(Regular paper)

63. Zuyao Chen, Runmin Cong, Qianqian Xu, and Qingming Huang, "DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection", IEEE Transactions on Image Processing, vol. 30, pp. 7012--7024, Aug. 2021. (Regular paper)


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