Qianqian Xu

According to our database, Qianqian Xu authored at least 125 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sequential Manipulation Against Rank Aggregation: Theory and Algorithm.

Ke Ma, Qianqian Xu, Jinshan Zeng, Wei Liu, Xiaochun Cao, Yingfei Sun, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation.

Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Assessing the performance of fully supervised and weakly supervised learning in breast cancer histopathology.

Huan Kang, Qianqian Xu, Duofang Chen, Shenghan Ren, Hui Xie, Lin Wang, Yuan Gao, Maoguo Gong, Xueli Chen

Expert Syst. Appl., March, 2024

Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status.

Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., February, 2024

Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection.

Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Yingfei Sun, Qingming Huang

IEEE Trans. Image Process., 2024

Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm.

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2024

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques.

Benyuan Meng, Qianqian Xu, Zitai Wang, Zhiyong Yang, Xiaochun Cao, Qingming Huang

CoRR, 2024

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features.

Benyuan Meng, Qianqian Xu, Zitai Wang, Xiaochun Cao, Qingming Huang

CoRR, 2024

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation.

Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang

CoRR, 2024

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang

CoRR, 2024

Rhetorical structure parallels research topic in LIS articles: a temporal bibliometrics examination.

Wen Lou, Jiangen He, Qianqian Xu, Zhijie Zhu, Qiwen Lu, Yongjun Zhu

Aslib J. Inf. Manag., 2024

Regularized Contrastive Partial Multi-view Outlier Detection.

Yijia Wang, Qianqian Xu, Yangbangyan Jiang, Siran Dai, Qingming Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval.

Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection.

Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Yuchen Sun, Qingming Huang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection.

Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Runmin Cong, Xiaochun Cao, Qingming Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ReconBoost: Boosting Can Achieve Modality Reconcilement.

Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection.

Hongyu Liu, Runmin Cong, Hua Li, Qianqian Xu, Qingming Huang, Wei Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition.

Zhiyong Yang, Qianqian Xu, Zitai Wang, Sicong Li, Boyu Han, Shilong Bao, Xiaochun Cao, Qingming Huang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Multimodal Knowledge Graph Embeddings via Lorentz-based Contrastive Learning.

Ruizhou Liu, Zongsheng Cao, Zhe Wu, Qianqian Xu, Qingming Huang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection.

Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations.

Zhiyong Yang, Qianqian Xu, Wenzheng Hou, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

AUC-Oriented Domain Adaptation: From Theory to Algorithm.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Peisong Wen, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Positive-Unlabeled Learning With Label Distribution Alignment.

Yangbangyan Jiang, Qianqian Xu, Yunrui Zhao, Zhiyong Yang, Peisong Wen, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Intelligent diagnosis of bladder cancer with limited MRI data.

Xiuqing Chen, Qianqian Xu, Huachang Xu, Jiawei Wu, Enze Zhu, Hong Zhu

J. Ambient Intell. Humaniz. Comput., October, 2023

Optimizing Two-Way Partial AUC With an End-to-End Framework.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

An automated teaching model machine combining improved fuzzy mechanism in teaching children's drawing games.

Qianqian Xu, Lin Yang

Entertain. Comput., August, 2023

Improving Chinese spell checking with bidirectional LSTMs and confusionset-based decision network.

Chuanshuai Ma, Miao Hu, Junjie Peng, Cangzhi Zheng, Qianqian Xu

Neural Comput. Appl., July, 2023

Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding.

Qianqian Xu, Zhiyong Yang, Yunrui Zhao, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

MaxMatch: Semi-Supervised Learning With Worst-Case Consistency.

Yangbangyan Jiang, Xiaodan Li, Yuefeng Chen, Yuan He, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Short Text Classification of Chinese with Label Information Assisting.

Qianqian Xu, Junjie Peng, Cangzhi Zheng, Shuhua Tan, Fen Yi, Feng Cheng

ACM Trans. Asian Low Resour. Lang. Inf. Process., April, 2023

Optimizing Partial Area Under the Top-k Curve: Theory and Practice.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game.

Ke Ma, Qianqian Xu, Jinshan Zeng, Guorong Li, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling.

Shilong Bao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges.

Peifeng Gao, Qianqian Xu, Yibo Yang, Peisong Wen, Huiyang Shao, Zhiyong Yang, Bernard Ghanem, Qingming Huang

CoRR, 2023

A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization.

Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Zhiyong Yang, Qingming Huang

CoRR, 2023

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning.

Huiyang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Peifeng Gao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework.

Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning.

Yuchen Sun, Qianqian Xu, Zitai Wang, Qingming Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs.

Wenxin Ni, Qianqian Xu, Yangbangyan Jiang, Zongsheng Cao, Xiaochun Cao, Qingming Huang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation.

Peifeng Gao, Qianqian Xu, Peisong Wen, Zhiyong Yang, Huiyang Shao, Qingming Huang

Proceedings of the International Conference on Machine Learning, 2023

Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild.

Huiyang Shao, Qianqian Xu, Peisong Wen, Peifeng Gao, Zhiyong Yang, Qingming Huang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

How Does AI Assist Scientific Research Domains? Evidence Based on 26 Millions Research Articles.

Qianqian Xu, Jie Meng, Jiangen He, Wen Lou

Proceedings of Joint Workshop of the 4th Extraction and Evaluation of Knowledge Entities from Scientific Documents (EEKE2023) and the 3rd AI + Informetrics (AII2023) co-located with the JCDL 2023, 2023

Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ.

Peifeng Gao, Qianqian Xu, Peisong Wen, Huiyang Shao, Yuan He, Qingming Huang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Weakly Supervised Anomaly Detection in Videos Considering the Openness of Events.

Chen Zhang, Guorong Li, Qianqian Xu, Xinfeng Zhang, Li Su, Qingming Huang

IEEE Trans. Intell. Transp. Syst., 2022

Learning With Multiclass AUC: Theory and Algorithms.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction.

Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Poisoning Attack Against Estimating From Pairwise Comparisons.

Ke Ma, Qianqian Xu, Jinshan Zeng, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction.

Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability.

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OpenAUC: Towards AUC-Oriented Open-Set Recognition.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm.

Huiyang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm.

Shilong Bao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation.

Zhipeng Yu, Qianqian Xu, Yangbangyan Jiang, Haoyu Qin, Qingming Huang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Confederated Learning: Going Beyond Centralization.

Zitai Wang, Qianqian Xu, Ke Ma, Xiaochun Cao, Qingming Huang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Unified Framework against Topology and Class Imbalance.

Junyu Chen, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction.

Junyu Chen, Qianqian Xu, Zhiyong Yang, Ke Ma, Xiaochun Cao, Qingming Huang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Quaternion Ordinal Embedding.

Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems.

Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang

Proceedings of the International Conference on Machine Learning, 2022

Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective.

Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

ER: Equivariance Regularizer for Knowledge Graph Completion.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Geometry Interaction Knowledge Graph Embeddings.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Neural Collaborative Preference Learning With Pairwise Comparisons.

Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Ke Ma, Xiaochun Cao, Qingming Huang

IEEE Trans. Multim., 2021

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size.

Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

IEEE Trans. Knowl. Data Eng., 2021

DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection.

Zuyao Chen, Runmin Cong, Qianqian Xu, Qingming Huang

IEEE Trans. Image Process., 2021

Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction.

Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

IEEE Trans. Pattern Anal. Mach. Intell., 2021

Stereo superpixel: An iterative framework based on parallax consistency and collaborative optimization.

Hua Li, Runmin Cong, Sam Kwong, Chuanbo Chen, Qianqian Xu, Chongyi Li

Inf. Sci., 2021

Evaluating Visual Properties via Robust HodgeRank.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao

Int. J. Comput. Vis., 2021

When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking.

Peisong Wen, Qianqian Xu, Zhiyong Yang, Yuan He, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions.

Zitai Wang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Pareto Optimality for Fairness-constrained Collaborative Filtering.

Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Unified Embeddings for Recommendation via Meta-path Semantics.

Qianxiu Hao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC.

Zhiyong Yang, Qianqian Xu, Shilong Bao, Yuan He, Xiaochun Cao, Qingming Huang

Proceedings of the 38th International Conference on Machine Learning, 2021

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association.

Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Deep Partial Rank Aggregation for Personalized Attributes.

Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models.

Yangbangyan Jiang, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Dual Quaternion Knowledge Graph Embeddings.

Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

DMVOS: Discriminative Matching for Real-time Video Object Segmentation.

Peisong Wen, Ruolin Yang, Qianqian Xu, Chen Qian, Qingming Huang, Runmin Cong, Jianlou Si

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning.

Zhenhuan Liu, Jincan Deng, Liang Li, Shaofei Cai, Qianqian Xu, Shuhui Wang, Qingming Huang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Quaternion-Based Knowledge Graph Network for Recommendation.

Zhaopeng Li, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

NuI-Go: Recursive Non-Local Encoder-Decoder Network for Retinal Image Non-Uniform Illumination Removal.

Chongyi Li, Huazhu Fu, Runmin Cong, Zechao Li, Qianqian Xu

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Task-distribution-aware Meta-learning for Cold-start CTR Prediction.

Tianwei Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

RGB-D Salient Object Detection with Cross-Modality Modulation and Selection.

Chongyi Li, Runmin Cong, Yongri Piao, Qianqian Xu, Chen Change Loy

Proceedings of the Computer Vision - ECCV 2020, 2020

Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings.

Qianqian Xu, Jiechao Xiong, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Global Context-Aware Progressive Aggregation Network for Salient Object Detection.

Zuyao Chen, Qianqian Xu, Runmin Cong, Qingming Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Split Multiplicative Multi-View Subspace Clustering.

Zhiyong Yang, Qianqian Xu, Weigang Zhang, Xiaochun Cao, Qingming Huang

IEEE Trans. Image Process., 2019

Low-Light Image Enhancement via a Deep Hybrid Network.

Wenqi Ren, Sifei Liu, Lin Ma, Qianqian Xu, Xiangyu Xu, Xiaochun Cao, Junping Du, Ming-Hsuan Yang

IEEE Trans. Image Process., 2019

From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Qingming Huang, Yuan Yao

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size.

Ke Ma, Jinshan Zeng, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

CoRR, 2019

A Fast Region Growing Based Superpixel Segmentation for Hyperspectral Image Classification.

Qianqian Xu, Peng Fu, Quansen Sun, Tao Wang

Proceedings of the Pattern Recognition and Computer Vision - Second Chinese Conference, 2019

Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer.

Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI.

Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

DM2C: Deep Mixed-Modal Clustering.

Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Adversarial Preference Learning with Pairwise Comparisons.

Zitai Wang, Qianqian Xu, Ke Ma, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Duet Robust Deep Subspace Clustering.

Yangbangyan Jiang, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Collaborative Preference Embedding against Sparse Labels.

Shilong Bao, Qianqian Xu, Ke Ma, Zhiyong Yang, Xiaochun Cao, Qingming Huang

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Deep Robust Subjective Visual Property Prediction in Crowdsourcing.

Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Learning Personalized Attribute Preference via Multi-Task AUC Optimization.

Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin.

Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Robust Ordinal Embedding from Contaminated Relative Comparisons.

Ke Ma, Qianqian Xu, Xiaochun Cao

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

A Margin-based MLE for Crowdsourced Partial Ranking.

Qianqian Xu, Jiechao Xiong, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

When to Learn What: Deep Cognitive Subspace Clustering.

Yangbangyan Jiang, Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Who to Ask: An Intelligent Fashion Consultant.

Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao, Qingming Huang

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results.

Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He

Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Active Sampling for Subjective Video Quality Assessment.

Yangbangyan Jiang, Qianqian Xu, Weigang Zhang, Qingming Huang

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Outfit Recommendation with Deep Sequence Learning.

Yangbangyan Jiang, Qianqian Xu, Xiaochun Cao

Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions.

Zhiyong Yang, Qianqian Xu, Xiaochun Cao, Qingming Huang

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation.

Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size.

Ke Ma, Jinshan Zeng, Jiechao Xiong, Qianqian Xu, Xiaochun Cao, Wei Liu, Yuan Yao

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Exploring Outliers in Crowdsourced Ranking for QoE.

Qianqian Xu, Ming Yan, Chendi Huang, Jiechao Xiong, Qingming Huang, Yuan Yao

Proceedings of the 2017 ACM on Multimedia Conference, 2017

2016

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking.

Qianqian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs.

Braxton Osting, Jiechao Xiong, Qianqian Xu, Yuan Yao

CoRR, 2015

2014

Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation.

Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao

IEEE Trans. Multim., 2014

Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience.

Qianqian Xu, Ming Yan, Yuan Yao

CoRR, 2014

Robust Statistical Ranking: Theory and Algorithms.

Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao

CoRR, 2014

2013

Robust evaluation for quality of experience in crowdsourcing.

Qianqian Xu, Jiechao Xiong, Qingming Huang, Yuan Yao

Proceedings of the ACM Multimedia Conference, 2013

2012

HodgeRank on Random Graphs for Subjective Video Quality Assessment.

Qianqian Xu, Qingming Huang, Tingting Jiang, Bowei Yan, Weisi Lin, Yuan Yao

IEEE Trans. Multim., 2012

Online crowdsourcing subjective image quality assessment.

Qianqian Xu, Qingming Huang, Yuan Yao

Proceedings of the 20th ACM Multimedia Conference, MM '12, Nara, Japan, October 29, 2012

2011

Random partial paired comparison for subjective video quality assessment via hodgerank.

Qianqian Xu, Tingting Jiang, Yuan Yao, Qingming Huang, Bowei Yan, Weisi Lin

Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

2010

Memory matrix: a novel user experience for home video.

Qianqian Xu, Zhipeng Wu, Guorong Li, Lei Qin, Shuqiang Jiang, Qingming Huang

Proceedings of the 18th International Conference on Multimedia 2010, 2010

Adding Affine Invariant Geometric Constraint for Partial-Duplicate Image Retrieval.

Zhipeng Wu, Qianqian Xu, Shuqiang Jiang, Qingming Huang, Peng Cui, Liang Li

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Bridging the gap between objective score and subjective preference in video quality assessment.

Qianqian Xu, Zhipeng Wu, Li Su, Lei Qin, Shuqiang Jiang, Qingming Huang

Proceedings of the 2010 IEEE International Conference on Multimedia and Expo, 2010

2009

Video Shrinking by Auditory and Visual Cues.

Qianqian Xu, Huiying Liu, Shuqiang Jiang, Qingming Huang, Yu Gong

Proceedings of the Advances in Multimedia Information Processing, 2009