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许倩倩
许倩倩 (Qianqian Xu) 研究员 (Professor)
电子邮箱: xuqianqian@ict.ac.cn
通讯地址: 北京海淀区中关村科学院南路6号中国科学院计算所545号
研究方向: 数据挖掘、机器学习
个人简介

许倩倩,中国科学院计算技术研究所,研究员,博士生导师,基金委优秀青年基金获得者。CCF杰出会员,IEEE/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,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80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、TCSVT、ACM TOMM和Multimedia Systems编委,国际会议AAAI SPC、IJCAI SPC、ACM MM AC等。先后获得:中国图象图形学学会自然科学奖一等奖、吴文俊人工智能自然科学奖一等奖、吴文俊人工智能科技进步奖二等奖、浙江省技术发明二等奖、茅以升北京青年科技奖、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、中国科学院百篇优秀博士学位论文、入选首份AI华人女性青年学者榜单、中国科学院青促会优秀会员、中国科学院院长优秀奖、易方达金融科技奖教金、联想奖教金、CCF-腾讯犀牛鸟科研基金、首届CAAI-华为MindSpore学术奖励基金等奖励。2015年至今指导/联合指导博士生和硕士生20余名,其中1人次获得中国计算机学会优博论文、1人次获得中国图象图形学学会优博论文、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人次获得ACM中国SIGMM优博论文,1人次入选北京科协青年人才托举计划,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人次获得中国科学院院长特别奖(中国科学院共62人),2人次获得中国科学院百篇优秀博士学位论文,2人次获得中国科学院朱李月华优秀博士生奖,1人次获得中国科学院院长优秀奖,11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人次获得北京市优秀毕业生,2人次获得所级优秀毕业生,4人次获得所长特别奖,4人次获得所长优秀奖。


指导/协助指导学生就业情况:

马 坷  (博士) 中国科学院大学 助理教授(长聘)【中国电子学会优博、中国科学院优博

杨智勇  (博士) 中国科学院大学 助理教授(长聘)【中国计算机学会优博、中国科学院优博、博新计划博士后

姜阳邦彦(博士) 中国科学院大学 博士后/特别研究助理【中国图象图形学学会优博、ACM中国SIGMM优博

包世龙  (博士)  中国科学院大学 博士后

王子泰  (博士)  中国科学院计算技术研究所 博士后/特别研究助理

曹天伟  (博士) 北京邮电大学 博士后

陈祖耀  (硕士) 香港理工大学 博士

高培峰  (硕士)  香港大学 博士

李朝鹏  (硕士) 腾讯微信

郝前秀  (硕士) 腾讯微信

侯文政  (硕士) 小红书

邵慧杨  (硕士)  字节跳动

陈俊宇  (硕士) 中国移动创新研究院

赵昀睿  (硕士) 中国交通银行总行

倪文鑫  (硕士)  山东省济南市公共资源交易中心

经历

2022.10—至今      中国科学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  中国科学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  中国科学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  中国科学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

学术服务
研究内容
著论

[TPAMI 24]  Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, and Qingming Huang. Sequential Manipulation against Rank Aggregation: Theory and Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (Accepted, DOI:10.1109/TPAMI.2024.3416710)

[TPAMI 24]  Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, and Qingming Huang. Improved Diversity-Promoting Collaborative Metric Learning for Recommendation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2024. (Accepted, DOI:10.1109/TPAMI.2024.3412687)

[TPAMI 24]  Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He and Qingming Huang. Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46(7): 5062-5079,  Jul. 2024. (Regular paper)

[TPAMI 24] Tianwei Cao, Qianqian Xu, Zhiyong Yang and Qingming Huang. Mitigating Confounding Bias in Practical Recommender Systems with Partially Inaccessible Exposure Status. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 46(2): 957-974, Feb. 2024.  (Regular paper)

[ICML 24] Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang. Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. International Conference on Machine Learning (ICML), 2024. (Accepted)

[ICML 24] Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang. Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. International Conference on Machine Learning (ICML), 2024. (Accepted)

[ICML 24] Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang. ReconBoost: Boosting Can Achieve Modality Reconcilement. International Conference on Machine Learning (ICML), 2024. (Accepted)

[ICML 24] Hongyu Liu, Runmin Cong, Hua Li, Qianqian Xu, Qingming Huang, Wei Zhang. ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection. International Conference on Machine Learning (ICML), 2024. (Accepted)

[AAAI 24] Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang. ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. AAAI Conference on Artificial Intelligence (AAAI), 8481-8489, 2024.

[TPAMI 23] Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao and Qingming Huang. Revisiting AUC-oriented Adversarial Training with Loss-Agnostic Perturbations. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(12): 15494-15511, Dec. 2023.  (Regular paper)

[TPAMI 23] Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao and Qingming Huang. AUC-Oriented Domain Adaptation: From Theory to Algorithm. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(12): 14161-14174, Dec. 2023. (Regular paper)

[TPAMI 23] Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao and Qingming Huang. Positive-Unlabeled Learning with Label Distribution Alignment. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(12): 15345-15363, Dec. 2023. (Regular paper)

[ICML 23] Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao and Qingming Huang. Feature Directions Matters: Long-Tailed Learning via Rotated Balanced Representation. International Conference on Machine Learning (ICML), 27542-27563, 2023.

[NeurIPS 23] Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao and Qingming Huang. A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. Annual Conference on Neural Information Processing Systems (NeurIPS), 48417-48430, 2023. (Spotlight)

[NeurIPS 23] Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Gao Peifeng, Qingming Huang. Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning. Annual Conference on Neural Information Processing Systems (NeurIPS), 7357-17368, 2023.

[NeurIPS 23] Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang. DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. Annual Conference on Neural Information Processing Systems (NeurIPS), 44658-44670, 2023.

[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), 7633-7641, 2023.

[ICCV 23] Huiyang Shao, Qianqian Xu, Peisong Wen, Gao Peifeng, Zhiyong Yang and Qingming Huang. Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. International Conference on Computer Vision (ICCV), 20259-20269, 2023.

[ACM MM 23] Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao and Qingming Huang. PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. ACM Conference on Multimedia (ACM MM), 3489-3497, 2023.

[ACM MM 23] Yuchen Sun, Qianqian Xu, Zitai Wang and Qingming Huang. When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. ACM Conference on Multimedia (ACM MM), 1515-1526, 2023.  (Oral)

[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), 45(6): 7668-7685, Jun. 2023. (Regular paper)

[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), 45(8): 10228-10246, Aug. 2023. (Regular paper)

[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), 45(4): 4090-4108, Apr. 2023. (Regular paper)

[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), 45(4): 5053-5069, Apr. 2023. (Regular paper)

[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), 45(5): 5970-5987, May 2023. (Regular paper)

[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), 2451-2464, 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), 28335-28349, 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), 25033-25045, 2022. (Spotlight)

[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), 39090-39102, 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), 38667-38679, 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), 2636-2644, 2022.

[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), 180-188, 2022.

[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), 2939-2947, 2022. (Oral)

[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), 5862-5870, 2022. (Oral)

[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), 45(1): 1017-1035, Jan. 2023. (Regular paper)

[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. (Oral)

[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.

[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.

[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.

[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.

[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.

[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.

[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. (Spotlight)

[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, Oral)

[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, Oral)

[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, Oral)

[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. (Full paper, Oral)