基本信息
许倩倩  女  博导  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,多媒体内容分析

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

   

2022.10-至今       中科院计算技术研究所智能信息处理重点实验室 研究员

2018.03-2022.09 中科院计算技术研究所智能信息处理重点实验室 副研究员 

2015.10-2018.03 中科院信息工程研究所信息安全国家重点实验室 副研究员 

2015.07-2015.10 中科院信息工程研究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


奖励信息
(1) 吴文俊人工智能自然科学, 一等奖, 部委级, 2020
(2) CSIG石青云女科学家奖, 部委级, 2020
(3) 吴文俊人工智能优秀青年奖, , 部委级, 2018
(4) 中国人工智能学会最佳青年成果奖, , 部委级, 2018
(5) 中科院青促会会员, 部委级, 2018
(6) ACM中国SIGMM新星奖, 其他, 2018
(7) 中国人工智能学会优秀博士学位论文, 国家级, 2015
(8) 中科院百篇优秀博士学位论文, 部委级, 2014
专利成果
( 1 ) 基于深度PU学习与类别先验估计的数据分类方法及系统, 发明专利, 2022, 第 1 作者, 专利号: 202111591020.7

( 2 ) 基于多几何模型融合的结构一致性运动分割方法和系统, 发明专利, 2021, 第 1 作者, 专利号: 202110220558.0

( 3 ) 针对排序系统鲁棒性的评估方法及系统, 发明专利, 2021, 第 1 作者, 专利号: 202110172338.5

( 4 ) 融合元路径语义的推荐方法及系统, 发明专利, 2021, 第 1 作者, 专利号: 202110198542.4

( 5 ) 一种用于冷启动广告点击率预估模型的元模型训练方法, 发明专利, 2021, 第 1 作者, 专利号: 202011209043.2

( 6 ) 一种推荐模型的训练方法、介质、电子设备和推荐模型, 发明专利, 2021, 第 1 作者, 专利号: 202011109159.9

( 7 ) 一种知识图谱嵌入模型的训练方法、系统和电子设备, 发明专利, 2021, 第 3 作者, 专利号: 202011040457.7

( 8 ) 一种基于协同知识图谱的个性化推荐方法, 发明专利, 2020, 第 3 作者, 专利号: 202011187518.2

( 9 ) 一种视频质量评价方法, 发明专利, 2013, 第 2 作者, 专利号: 201510435863.6

( 10 ) 一种视频质量客观评价方法, 发明专利, 2013, 第 2 作者, 专利号: 201110194206.9

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, 负责人, 国家任务, 2015-01--2016-06
( 2 ) 基于几何拓扑的网络众包策略研究, 负责人, 国家任务, 2017-01--2020-12
( 3 ) 基于几何拓扑的网络众包数据分析, 负责人, 地方任务, 2017-01--2020-12
( 4 ) 网络众包比对数据异常值检测, 负责人, 企业委托, 2017-10--2018-10
( 5 ) 中科院青年促进会会员, 负责人, 中国科学院计划, 2018-01--2021-12
( 6 ) 跨模态医疗分析推理技术与系统, 参与, 国家任务, 2019-12--2023-12
( 7 ) 基于网络众包的主观视觉属性偏序算法研究, 负责人, 国家任务, 2020-01--2023-12
( 8 ) 基于几何拓扑的群智计算研究, 负责人, 国家任务, 2022-01--2024-12

发表论文

[AAAI 23] Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He and Qingming Huang. Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. AAAI Conference on Artificial Intelligence (AAAI), 2023.

[TPAMI 22] Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao and Qingming Huang. Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Regular paper, DOI:10.1109/TPAMI.2022.3220849)

[TPAMI 22] 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)

[TPAMI 22] 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)

[TPAMI 22] Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang.  Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Regular paper, DOI: 10.1109 /TPAMI.2022.3199970)

[TPAMI 22] 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), 44(6): 3154–3169, Jun. 2022. (Regular paper)

[TPAMI 22] Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022. (Regular paper, DOI: 10.1109/TPAMI.2022.3208419)

[ICML 22] Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He and Qingming Huang. AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. International Conference on Machine Learning (ICML), 8903–8925, 2022.

[NeurIPS 22] Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022. (Oral)

[NeurIPS 22] Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He and Qingming Huang. Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

[NeurIPS 22] Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. OpenAUC: Towards AUC-Oriented Open-Set Recognition. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

[NeurIPS 22] Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

[NeurIPS 22] Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao and Qingming Huang. Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. Annual Conference on Neural Information Processing Systems (NeurIPS), 2022.

[CVPR 22] 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), 14461–14470, 2022.

[AAAI 22] Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Geometry Interaction Knowledge Graph Embeddings. AAAI Conference on Artificial Intelligence (AAAI), 5521-5529, 2022.

[AAAI 22] Zongsheng Cao, Qianqian Xu, Zhiyong Yang and Qingming Huang. ER: Equivariance Regularizer for Knowledge Graph Completion. AAAI Conference on Artificial Intelligence (AAAI), 5512-5520, 2022.

[IJCAI 22] Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao and Qingming Huang. Quaternion Ordinal Embedding. International Joint Conference on Artificial Intelligence (IJCAI), 2066-2072, 2022.

[ACM MM 22] 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)

[ACM MM 22] 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)

[ACM MM 22] 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)

[ACM MM 22] 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)

[TPAMI 21] 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), 43(11):4094–4110, Nov. 2021.(Regular paper)

[TPAMI 21] 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), 44(10): 6393–6408, Oct. 2022. (Regular paper)

[TPAMI 21] 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), 44(11): 7747–7763, Nov. 2022. (Regular paper)

[TPAMI 21] 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), 44(11): 8449–8464, Nov. 2022. (Regular paper)

[TPAMI 21] 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)

[IJCV 21] Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang and Yuan Yao. Evaluating Visual Properties via Robust HodgeRank. International Journal of Computer Vision (IJCV), 129(5): 1732–1753, Mar. 2021. (Regular paper)

[TKDE 21] 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 (TKDE), 33(6): 2467–2478, Jun. 2021. (Regular paper)

[TIP 21] 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 (TIP), 30: 7012–7024, Aug. 2021. (Regular paper)

[ICML 21] Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. International Conference on Machine Learning (ICML), 11820–11829, 2021. (Long talk)

[NeurIPS 21] 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), 5025–5037, 2021.

[CVPR 21] 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), 16347–16356, 2021.

[ACM MM 21] Qianxiu Hao, Qianqian Xu, Zhiyong Yang and Qingming Huang. Learning Meta-path-aware Embeddings for Recommender Systems. ACM Conference on Multimedia (ACM MM), 3909–3917, 2021. (Oral)

[ACM MM 21] Qianxiu Hao, Qianqian Xu, Zhiyong Yang and Qingming Huang. Pareto Optimality for Fairness-constrained Collaborative Filtering. ACM Conference on Multimedia (ACM MM), 5619–5627, 2021. (Full paper)

[ACM MM 21] 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), 3070–3078, 2021. (Full paper)

[AAAI 21] 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), 678–688, 2021.

[AAAI 21] 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), 1708–1716, 2021.

[AAAI 21] Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Dual Quaternion Knowledge Graph Embeddings. AAAI Conference on Artificial Intelligence (AAAI), 6894–6902, 2021.

[TMM 21] Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao and Qingming Huang. Neural Collaborative Preference Learning with Pairwise Comparisons. IEEE Transactions on Multimedia (TMM), 23: 1977-1989, Dec. 2021. (Regular Paper)

[ACM MM 20] Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao and Qingming Huang. Quaternion-Based Knowledge Graph Network for Recommendation. ACM Conference on Multimedia (ACM MM), 880–888, 2020. (Oral)

[ACM MM 20] 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), 3514–3522, 2020. (Full paper)

[ACM MM 20] 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), 2048–2056, 2020. (Full paper)

[ACM MM 20] 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), 322–330, 2020. (Full paper)

[ACM MM 20] 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), 1478–1487, 2020. (Full paper)

[AAAI 20] 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), 262–269, 2020. (Oral)

[AAAI 20] Zuyao Chen, Qianqian Xu, Ruimin Cong and Qingming Huang. Global Context-Aware Progressive Aggregation Network for Salient Object Detection. AAAI Conference on Artificial Intelligence (AAAI), 10599–10606, 2020. (Oral)

[TPAMI 19] 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), 41(4): 844–856, Apr. 2019. (Regular paper)

[TIP 19] Zhiyong Yang, Qianqian Xu, Weigang Zhang, Xiaochun Cao and Qingming Huang. Split Multiplicative Multi-view Subspace Clustering. IEEE Transactions on Image Processing (TIP), 28(10): 5147–5160, May 2019. (Regular paper)

[TIP 19] 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 (TIP), vol. 28, no. 9, pp. 4364–4375, Sep. 2019. (Regular paper)

[NeurIPS 19] 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), 3896–3906, 2019.

[NeurIPS 19] Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. DM2C: Deep Mixed-Modal Clustering. Annual Conference on Neural Information Processing Systems (NeurIPS), 5880–5890, 2019. (Spotlight)

[NeurIPS 19] 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), 5846–5857, 2019.

[CVPR 19] Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang and Yuan Yao. Deep Robust Subjective Visual Property Prediction in Crowdsourcing. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 8993–9001, 2019.

[ACM MM 19] 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), 2079–2087, 2019. (Oral)

[ACM MM 19] 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), 656–664, 2019. (Oral)

[ACM MM 19] Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao and Qingming Huang. Duet Robust Deep Subspace Clustering. ACM Conference on Multimedia (ACM MM), 1596–1604, 2019. (Full paper)

[AAAI 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), 5660–5667, 2019. (Oral)

[AAAI 19] 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), 2978–2985, 2019.

[AAAI 19] Ke Ma, Qianqian Xu and Xiaochun Cao. Robust Ordinal Embedding from Contaminated Relative Comparisons. AAAI Conference on Artificial Intelligence (AAAI), 7908–7915, 2019.

[ACM MM 18] 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), 591–599, 2018. (Full paper)

[ACM MM 18] 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), 718–726, 2018. (Full paper)

[AAAI 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), 4326–4334, 2018. (Oral)

[AAAI 18] 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), 515–522, 2018.

[AAAI 18] 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), 3738–3745, 2018.

[ACM MM 17] 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), 1540–1548, 2017. (Full paper, Oral)

[ICML 16] 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), 1282–1291, 2016. (Oral)

[ACM MM 16] Qianqian Xu, Jiechao Xiong, Xiaochun Cao and Yuan Yao. Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation. ACM Conference on Multimedia (ACM MM), 841–850, 2016. (Full paper)

[TMM 14] Qianqian Xu, Jiechao Xiong, Qingming Huang, and Yuan Yao. Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation. IEEE Transactions on Multimedia (TMM), 16(2): 373–386, Feb. 2014. (Regular paper)

[ACM MM 13] Qianqian Xu, Jiechao Xiong, Qingming Huang, and Yuan Yao. Robust Evaluation for Quality of Experience in Crowdsourcing. ACM Conference on Multimedia (ACM MM), 43–52, 2013. (Full paper)

[ACM MM 12] Qianqian Xu, Qingming Huang and Yuan Yao. Online Crowdsourcing Subjective Image Quality Assessment. ACM Conference on Multimedia (ACM MM), 359–368, 2012. (Full paper)

[TMM 12] 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 (TMM), 14(3): 844–857, Jun. 2012. (Regular paper)

[ACM MM 11] 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), 393–402, 2011. (Regular paper)