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Qianqian Xu
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Publications
- 2023
- [j26]Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 1017-1035 (2023) - [j25]Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang:
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4090-4108 (2023) - [j24]Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Partial Area Under the Top-k Curve: Theory and Practice. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 5053-5069 (2023) - [j23]Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 45(5): 5970-5987 (2023) - [j22]Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao, Qingming Huang:
Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7668-7685 (2023) - [j21]Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Two-Way Partial AUC With an End-to-End Framework. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10228-10246 (2023) - [j20]Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang:
AUC-Oriented Domain Adaptation: From Theory to Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 14161-14174 (2023) - [j19]Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, Qingming Huang:
Positive-Unlabeled Learning With Label Distribution Alignment. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15345-15363 (2023) - [j18]Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15494-15511 (2023) - [c65]Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao, Qingming Huang:
PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. ACM Multimedia 2023: 3489-3497 - [c64]Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. NeurIPS 2023 - [c62]Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. NeurIPS 2023 - [i41]Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. CoRR abs/2310.04752 (2023) - [i39]Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. CoRR abs/2311.03055 (2023) - 2022
- [j16]Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang:
Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3154-3169 (2022) - [j15]Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang:
Poisoning Attack Against Estimating From Pairwise Comparisons. IEEE Trans. Pattern Anal. Mach. Intell. 44(10): 6393-6408 (2022) - [j14]Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang:
Learning With Multiclass AUC: Theory and Algorithms. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7747-7763 (2022) - [c60]Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Geometry Interaction Knowledge Graph Embeddings. AAAI 2022: 5521-5529 - [c56]Junyu Chen, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
A Unified Framework against Topology and Class Imbalance. ACM Multimedia 2022: 180-188 - [c55]Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang:
Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction. ACM Multimedia 2022: 2636-2644 - [c54]Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang:
Confederated Learning: Going Beyond Centralization. ACM Multimedia 2022: 2939-2947 - [c52]Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. NeurIPS 2022 - [c51]Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. NeurIPS 2022 - [c49]Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
OpenAUC: Towards AUC-Oriented Open-Set Recognition. NeurIPS 2022 - [i36]Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. CoRR abs/2206.11549 (2022) - [i35]Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Two-way Partial AUC with an End-to-end Framework. CoRR abs/2206.11655 (2022) - [i32]Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Geometry Interaction Knowledge Graph Embeddings. CoRR abs/2206.12418 (2022) - [i30]Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
Optimizing Partial Area Under the Top-k Curve: Theory and Practice. CoRR abs/2209.01398 (2022) - [i29]Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang:
A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation Is the Fixed Point of Adversarial Game. CoRR abs/2209.05742 (2022) - [i28]Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
MaxMatch: Semi-Supervised Learning with Worst-Case Consistency. CoRR abs/2209.12611 (2022) - [i26]Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. CoRR abs/2209.15292 (2022) - [i24]Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang:
OpenAUC: Towards AUC-Oriented Open-Set Recognition. CoRR abs/2210.13458 (2022) - 2021
- [j11]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao:
Evaluating Visual Properties via Robust HodgeRank. Int. J. Comput. Vis. 129(5): 1732-1753 (2021) - [j9]Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 43(11): 4094-4110 (2021) - [j7]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. IEEE Trans. Knowl. Data Eng. 33(6): 2467-2478 (2021) - [j6]Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, Qingming Huang:
Neural Collaborative Preference Learning With Pairwise Comparisons. IEEE Trans. Multim. 23: 1977-1989 (2021) - [c47]Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang:
Deep Partial Rank Aggregation for Personalized Attributes. AAAI 2021: 678-688 - [c46]Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. AAAI 2021: 1708-1716 - [c45]Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Dual Quaternion Knowledge Graph Embeddings. AAAI 2021: 6894-6902 - [c43]Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang:
When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. ICML 2021: 11820-11829 - [c42]Zitai Wang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions. ACM Multimedia 2021: 3070-3078 - [i21]Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang:
Poisoning Attack against Estimating from Pairwise Comparisons. CoRR abs/2107.01854 (2021) - [i20]Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang:
Learning with Multiclass AUC: Theory and Algorithms. CoRR abs/2107.13171 (2021) - 2020
- [c38]Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. AAAI 2020: 262-269 - [c34]Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang:
Quaternion-Based Knowledge Graph Network for Recommendation. ACM Multimedia 2020: 880-888 - [i18]Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. CoRR abs/2004.13930 (2020) - 2019
- [j5]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 Trans. Pattern Anal. Mach. Intell. 41(4): 844-856 (2019) - [j4]Wenqi Ren, Sifei Liu, Lin Ma, Qianqian Xu, Xiangyu Xu, Xiaochun Cao, Junping Du, Ming-Hsuan Yang:
Low-Light Image Enhancement via a Deep Hybrid Network. IEEE Trans. Image Process. 28(9): 4364-4375 (2019) - [j3]Zhiyong Yang, Qianqian Xu, Weigang Zhang, Xiaochun Cao, Qingming Huang:
Split Multiplicative Multi-View Subspace Clustering. IEEE Trans. Image Process. 28(10): 5147-5160 (2019) - [c30]Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao:
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. AAAI 2019: 2978-2985 - [c29]Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Learning Personalized Attribute Preference via Multi-Task AUC Optimization. AAAI 2019: 5660-5667 - [c28]Ke Ma, Qianqian Xu, Xiaochun Cao:
Robust Ordinal Embedding from Contaminated Relative Comparisons. AAAI 2019: 7908-7915 - [c27]Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CVPR 2019: 8993-9001 - [c26]Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang:
Adversarial Preference Learning with Pairwise Comparisons. ACM Multimedia 2019: 656-664 - [c25]Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Duet Robust Deep Subspace Clustering. ACM Multimedia 2019: 1596-1604 - [c24]Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
Collaborative Preference Embedding against Sparse Labels. ACM Multimedia 2019: 2079-2087 - [c23]Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. NeurIPS 2019: 3896-3906 - [c22]Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang:
Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer. NeurIPS 2019: 5846-5857 - [c21]Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang:
DM2C: Deep Mixed-Modal Clustering. NeurIPS 2019: 5880-5890 - [i15]Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao:
Deep Robust Subjective Visual Property Prediction in Crowdsourcing. CoRR abs/1903.03956 (2019) - [i14]Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Learning Personalized Attribute Preference via Multi-task AUC Optimization. CoRR abs/1906.07341 (2019) - [i13]Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. CoRR abs/1910.05905 (2019) - [i12]Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. CoRR abs/1912.00362 (2019) - 2018
- [c19]Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. AAAI 2018: 515-522 - [c18]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. AAAI 2018: 3738-3745 - [c16]Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao:
Outfit Recommendation with Deep Sequence Learning. BigMM 2018: 1-5 - [c13]Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
Who to Ask: An Intelligent Fashion Consultant. ICMR 2018: 525-528 - [c12]Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
A Margin-based MLE for Crowdsourced Partial Ranking. ACM Multimedia 2018: 591-599 - [c11]Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
When to Learn What: Deep Cognitive Subspace Clustering. ACM Multimedia 2018: 718-726 - [i11]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. CoRR abs/1804.11177 (2018) - [i10]Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao:
A Margin-based MLE for Crowdsourced Partial Ranking. CoRR abs/1807.11014 (2018) - [i9]Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao:
Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. CoRR abs/1812.01939 (2018) - [i8]Ke Ma, Qianqian Xu, Xiaochun Cao:
Robust Ordinal Embedding from Contaminated Relative Comparisons. CoRR abs/1812.01945 (2018) - 2017
- [i6]Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao:
Stochastic Non-convex Ordinal Embedding with Stabilized Barzilai-Borwein Step Size. CoRR abs/1711.06446 (2017) - [i5]Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang:
From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. CoRR abs/1711.06867 (2017) - 2016
- [c9]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao:
False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking. ICML 2016: 1282-1291 - [c8]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao:
Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation. ACM Multimedia 2016: 841-850 - [i4]Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao:
Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation. CoRR abs/1607.03401 (2016)
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