Qianqian Xu

ORCID

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 142

Top Venues

CoRR

ACM Multimedia

IEEE Trans. Pattern Anal. Mach. Intell.

AAAI

Publications

Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang
Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval. CoRR (2024)
Wen Lou, Jiangen He, Qianqian Xu, Zhijie Zhu, Qiwen Lu, Yongjun Zhu
Rhetorical structure parallels research topic in LIS articles: a temporal bibliometrics examination. Aslib J. Inf. Manag. 76 (3) (2024)
Huan Kang, Qianqian Xu, Duofang Chen, Shenghan Ren, Hui Xie, Lin Wang, Yuan Gao, Maoguo Gong, Xueli Chen
Assessing the performance of fully supervised and weakly supervised learning in breast cancer histopathology. Expert Syst. Appl. 237 (Part B) (2024)
Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Yuchen Sun, Qingming Huang
HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. CoRR (2024)
Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 46 (7) (2024)
Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang
ReconBoost: Boosting Can Achieve Modality Reconcilement. CoRR (2024)
Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang
Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. CoRR (2024)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang
Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification. CoRR (2024)
Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. AAAI (2024)
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. CoRR (2024)
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. CoRR (2024)
Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status. IEEE Trans. Pattern Anal. Mach. Intell. 46 (2) (2024)
Qianqian Xu, Junjie Peng, Cangzhi Zheng, Shuhua Tan, Fen Yi, Feng Cheng
Short Text Classification of Chinese with Label Information Assisting. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22 (4) (2023)
Yuchen Sun, Qianqian Xu, Zitai Wang, Qingming Huang
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. ACM Multimedia (2023)
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) (2023)
Chuanshuai Ma, Miao Hu, Junjie Peng, Cangzhi Zheng, Qianqian Xu
Improving Chinese spell checking with bidirectional LSTMs and confusionset-based decision network. Neural Comput. Appl. 35 (21) (2023)
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) (2023)
Peifeng Gao, Qianqian Xu, Yibo Yang, Peisong Wen, Huiyang Shao, Zhiyong Yang, Bernard Ghanem, Qingming Huang
Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges. CoRR (2023)
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) (2023)
Qianqian Xu, Lin Yang
An automated teaching model machine combining improved fuzzy mechanism in teaching children's drawing games. Entertain. Comput. 47 (2023)
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) (2023)
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 (2023)
Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang
Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation. ICML (2023)
Xiuqing Chen, Qianqian Xu, Huachang Xu, Jiawei Wu, Enze Zhu, Hong Zhu
Intelligent diagnosis of bladder cancer with limited MRI data. J. Ambient Intell. Humaniz. Comput. 14 (10) (2023)
Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. NeurIPS (2023)
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) (2023)
Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang
ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. CoRR (2023)
Huiyang Shao, Qianqian Xu, Peisong Wen, Peifeng Gao, Zhiyong Yang, Qingming Huang
Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. ICCV (2023)
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)
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) (2023)
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)
Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Peifeng Gao, Qingming Huang
Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning. NeurIPS (2023)
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) (2023)
Yuchen Sun, Qianqian Xu, Zitai Wang, Qingming Huang
When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. CoRR (2023)
Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He, Qingming Huang
Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. AAAI (2023)
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) (2023)
Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Zhiyong Yang, Qingming Huang
A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization. CoRR (2023)
Qianqian Xu, Jie Meng, Jiangen He, Wen Lou
How Does AI Assist Scientific Research Domains? Evidence Based on 26 Millions Research Articles. EEKE/AII@JCDL (2023)
Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. CoRR (2023)
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) (2023)
Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. ICML (2022)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
OpenAUC: Towards AUC-Oriented Open-Set Recognition. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
ER: Equivariance Regularizer for Knowledge Graph Completion. CoRR (2022)
Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. NeurIPS (2022)
Zhenhuan Liu, Jincan Deng, Liang Li, Shaofei Cai, Qianqian Xu, Shuhui Wang, Qingming Huang
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning. CoRR (2022)
Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang
Quaternion Ordinal Embedding. IJCAI (2022)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
OpenAUC: Towards AUC-Oriented Open-Set Recognition. NeurIPS (2022)
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) (2022)
Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. CoRR (2022)
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) (2022)
Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang
Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. CVPR (2022)
Junyu Chen, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
A Unified Framework against Topology and Class Imbalance. ACM Multimedia (2022)
Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang
Confederated Learning: Going Beyond Centralization. ACM Multimedia (2022)
Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Haoyu Qin, Qingming Huang
Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation. ACM Multimedia (2022)
Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. NeurIPS (2022)
Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
Optimizing Partial Area Under the Top-k Curve: Theory and Practice. CoRR (2022)
Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. CoRR (2022)
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 (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Geometry Interaction Knowledge Graph Embeddings. AAAI (2022)
Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang
Optimizing Two-way Partial AUC with an End-to-end Framework. CoRR (2022)
Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang
AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
ER: Equivariance Regularizer for Knowledge Graph Completion. AAAI (2022)
Chen Zhang, Guorong Li, Qianqian Xu, Xinfeng Zhang, Li Su, Qingming Huang
Weakly Supervised Anomaly Detection in Videos Considering the Openness of Events. IEEE Trans. Intell. Transp. Syst. 23 (11) (2022)
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 (2022)
Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 44 (11) (2022)
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) (2022)
Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. CoRR (2022)
Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. CoRR (2022)
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)
Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. NeurIPS (2022)
Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Rethinking Collaborative Metric Learning: Toward an Efficient Alternative without Negative Sampling. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang
OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. NeurIPS (2022)
Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang
Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Geometry Interaction Knowledge Graph Embeddings. CoRR (2022)
Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang
Dual Quaternion Knowledge Graph Embeddings. AAAI (2021)
Hua Li, Runmin Cong, Sam Kwong, Chuanbo Chen, Qianqian Xu, Chongyi Li
Stereo superpixel: An iterative framework based on parallax consistency and collaborative optimization. Inf. Sci. 556 (2021)
Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang
When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking. NeurIPS (2021)
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)
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) (2021)
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) (2021)
Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang
Learning with Multiclass AUC: Theory and Algorithms. CoRR (2021)
Zuyao Chen, Runmin Cong, Qianqian Xu, Qingming Huang
DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection. IEEE Trans. Image Process. 30 (2021)
Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Learning Unified Embeddings for Recommendation via Meta-path Semantics. ACM Multimedia (2021)
Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao
Evaluating Visual Properties via Robust HodgeRank. Int. J. Comput. Vis. 129 (5) (2021)
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)
Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang
Deep Partial Rank Aggregation for Personalized Attributes. AAAI (2021)
Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. CVPR (2021)
Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang
Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. CoRR (2021)
Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Pareto Optimality for Fairness-constrained Collaborative Filtering. ACM Multimedia (2021)
Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, Qingming Huang
Neural Collaborative Preference Learning With Pairwise Comparisons. IEEE Trans. Multim. 23 (2021)
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)
Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang
Poisoning Attack against Estimating from Pairwise Comparisons. CoRR (2021)
Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang
Task-distribution-aware Meta-learning for Cold-start CTR Prediction. ACM Multimedia (2020)
Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao
Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. AAAI (2020)
Chongyi Li, Huazhu Fu, Runmin Cong, Zechao Li, Qianqian Xu
NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal. ACM Multimedia (2020)
Zhenhuan Liu, Jincan Deng, Liang Li, Shaofei Cai, Qianqian Xu, Shuhui Wang, Qingming Huang
IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning. ACM Multimedia (2020)
Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy
RGB-D Salient Object Detection with Cross-Modality Modulation and Selection. CoRR (2020)
Peisong Wen, Ruolin Yang, Qianqian Xu, Chen Qian, Qingming Huang, Runmin Cong, Jianlou Si
DMVOS: Discriminative Matching for Real-time Video Object Segmentation. ACM Multimedia (2020)
Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang
Quaternion-Based Knowledge Graph Network for Recommendation. ACM Multimedia (2020)
Zuyao Chen, Qianqian Xu, Runmin Cong, Qingming Huang
Global Context-Aware Progressive Aggregation Network for Salient Object Detection. AAAI (2020)

Qianqian Xu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Qianqian Xu