Video Shrinking by Auditory and Visual Cues. - Qianqian Xu 001; Huiying Liu; Shuqiang Jiang; Qingming Huang; Yu Gong (PCM, 2009)

Bridging the gap between objective score and subjective preference in video quality assessment. - Qianqian Xu 001; Zhipeng Wu; Li Su 003; Lei Qin; Shuqiang Jiang; Qingming Huang (ICME, 2010)

Adding Affine Invariant Geometric Constraint for Partial-Duplicate Image Retrieval. - Zhipeng Wu; Qianqian Xu 001; Shuqiang Jiang; Qingming Huang; Peng Cui; Liang Li 003 (ICPR, 2010)

Memory matrix: a novel user experience for home video. - Qianqian Xu 001; Zhipeng Wu; Guorong Li; Lei Qin; Shuqiang Jiang; Qingming Huang (ACM Multimedia, 2010)

Random partial paired comparison for subjective video quality assessment via hodgerank. - Qianqian Xu 001; Tingting Jiang 001; Yuan Yao 011; Qingming Huang; Bowei Yan; Weisi Lin (ACM Multimedia, 2011)

Online crowdsourcing subjective image quality assessment. - Qianqian Xu 001; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2012)

HodgeRank on Random Graphs for Subjective Video Quality Assessment. - Qianqian Xu 001; Qingming Huang; Tingting Jiang 001; Bowei Yan; Weisi Lin; Yuan Yao 011 (IEEE Trans. Multim., 2012)

Robust evaluation for quality of experience in crowdsourcing. - Qianqian Xu 001; Jiechao Xiong; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2013)

Robust Statistical Ranking: Theory and Algorithms. - Qianqian Xu 001; Jiechao Xiong; Qingming Huang; Yuan Yao 011 (CoRR, 2014)

Fast Adaptive Least Trimmed Squares for Robust Evaluation of Quality of Experience. - Qianqian Xu 001; Ming Yan 006; Yuan Yao 011 (CoRR, 2014)

Online HodgeRank on Random Graphs for Crowdsourceable QoE Evaluation. - Qianqian Xu 001; Jiechao Xiong; Qingming Huang; Yuan Yao 011 (IEEE Trans. Multim., 2014)

Analysis of Crowdsourced Sampling Strategies for HodgeRank with Sparse Random Graphs. - Braxton Osting; Jiechao Xiong; Qianqian Xu 001; Yuan Yao 011 (CoRR, 2015)

False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking. - Qianqian Xu 001; Jiechao Xiong; Xiaochun Cao; Yuan Yao 011 (ICML, 2016)

Parsimonious Mixed-Effects HodgeRank for Crowdsourced Preference Aggregation. - Qianqian Xu 001; Jiechao Xiong; Xiaochun Cao; Yuan Yao 011 (ACM Multimedia, 2016)

Exploring Outliers in Crowdsourced Ranking for QoE. - Qianqian Xu 001; Ming Yan 006; Chendi Huang; Jiechao Xiong; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2017)

Stochastic Non-Convex Ordinal Embedding With Stabilized Barzilai-Borwein Step Size. - Ke Ma 001; Jinshan Zeng; Jiechao Xiong; Qianqian Xu 001; Xiaochun Cao; Wei Liu 005; Yuan Yao 011 (AAAI, 2018)

HodgeRank With Information Maximization for Crowdsourced Pairwise Ranking Aggregation. - Qianqian Xu 001; Jiechao Xiong; Xi Chen; Qingming Huang; Yuan Yao 011 (AAAI, 2018)

From Common to Special: When Multi-Attribute Learning Meets Personalized Opinions. - Zhiyong Yang 001; Qianqian Xu 001; Xiaochun Cao; Qingming Huang (AAAI, 2018)

Outfit Recommendation with Deep Sequence Learning. - Yangbangyan Jiang; Qianqian Xu 001; Xiaochun Cao (BigMM, 2018)

Active Sampling for Subjective Video Quality Assessment. - Yangbangyan Jiang; Qianqian Xu 001; Weigang Zhang; Qingming Huang (BigMM, 2018)

VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. - Longyin Wen; Pengfei Zhu 001; Dawei Du; Xiao Bian; Haibin Ling; Qinghua Hu; Chenfeng Liu; Hao Cheng 010; Xiaoyu Liu 005; Wenya Ma; Qinqin Nie; Haotian Wu 006; et al. (ECCV Workshops (5), 2018)

Who to Ask: An Intelligent Fashion Consultant. - Yangbangyan Jiang; Qianqian Xu 001; Xiaochun Cao; Qingming Huang (ICMR, 2018)

When to Learn What: Deep Cognitive Subspace Clustering. - Yangbangyan Jiang; Zhiyong Yang 001; Qianqian Xu 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2018)

A Margin-based MLE for Crowdsourced Partial Ranking. - Qianqian Xu 001; Jiechao Xiong; Xinwei Sun 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (ACM Multimedia, 2018)

Robust Ordinal Embedding from Contaminated Relative Comparisons. - Ke Ma 001; Qianqian Xu 001; Xiaochun Cao (AAAI, 2019)

Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin. - Ke Ma 001; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao (AAAI, 2019)

Learning Personalized Attribute Preference via Multi-Task AUC Optimization. - Zhiyong Yang 001; Qianqian Xu 001; Xiaochun Cao; Qingming Huang (AAAI, 2019)

Deep Robust Subjective Visual Property Prediction in Crowdsourcing. - Qianqian Xu 001; Zhiyong Yang 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (CVPR, 2019)

Collaborative Preference Embedding against Sparse Labels. - Shilong Bao; Qianqian Xu 001; Ke Ma 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

Duet Robust Deep Subspace Clustering. - Yangbangyan Jiang; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

Adversarial Preference Learning with Pairwise Comparisons. - Zitai Wang; Qianqian Xu 001; Ke Ma 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2019)

DM2C: Deep Mixed-Modal Clustering. - Yangbangyan Jiang; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (NeurIPS, 2019)

iSplit LBI: Individualized Partial Ranking with Ties via Split LBI. - Qianqian Xu 001; Xinwei Sun 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (NeurIPS, 2019)

Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment against Negative Transfer. - Zhiyong Yang 001; Qianqian Xu 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang (NeurIPS, 2019)

Fast Stochastic Ordinal Embedding with Variance Reduction and Adaptive Step Size. - Ke Ma 001; Jinshan Zeng; Qianqian Xu 001; Xiaochun Cao; Wei Liu 005; Yuan Yao 011 (CoRR, 2019)

From Social to Individuals: A Parsimonious Path of Multi-Level Models for Crowdsourced Preference Aggregation. - Qianqian Xu 001; Jiechao Xiong; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (IEEE Trans. Pattern Anal. Mach. Intell., 2019)

Low-Light Image Enhancement via a Deep Hybrid Network. - Wenqi Ren; Sifei Liu; Lin Ma 002; Qianqian Xu 001; Xiangyu Xu 002; Xiaochun Cao; Junping Du 001; Ming-Hsuan Yang 001 (IEEE Trans. Image Process., 2019)

Split Multiplicative Multi-View Subspace Clustering. - Zhiyong Yang 001; Qianqian Xu 001; Weigang Zhang; Xiaochun Cao; Qingming Huang (IEEE Trans. Image Process., 2019)

Global Context-Aware Progressive Aggregation Network for Salient Object Detection. - Zuyao Chen; Qianqian Xu 001; Runmin Cong; Qingming Huang (AAAI, 2020)

Who Likes What? - SplitLBI in Exploring Preferential Diversity of Ratings. - Qianqian Xu 001; Jiechao Xiong; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (AAAI, 2020)

RGB-D Salient Object Detection with Cross-Modality Modulation and Selection. - Chongyi Li; Runmin Cong; Yongri Piao; Qianqian Xu 001; Chen Change Loy (ECCV (8), 2020)

Task-distribution-aware Meta-learning for Cold-start CTR Prediction. - Tianwei Cao; Qianqian Xu 001; Zhiyong Yang 001; Qingming Huang (ACM 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 001 (ACM Multimedia, 2020)

Quaternion-Based Knowledge Graph Network for Recommendation. - Zhaopeng Li; Qianqian Xu 001; Yangbangyan Jiang; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2020)

IR-GAN: Image Manipulation with Linguistic Instruction by Increment Reasoning. - Zhenhuan Liu; Jincan Deng; Liang Li 003; Shaofei Cai; Qianqian Xu 001; Shuhui Wang; Qingming Huang (ACM Multimedia, 2020)

DMVOS: Discriminative Matching for Real-time Video Object Segmentation. - Peisong Wen; Ruolin Yang 001; Qianqian Xu 001; Chen Qian 006; Qingming Huang; Runmin Cong; Jianlou Si (ACM Multimedia, 2020)

Dual Quaternion Knowledge Graph Embeddings. - Zongsheng Cao; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (AAAI, 2021)

What to Select: Pursuing Consistent Motion Segmentation from Multiple Geometric Models. - Yangbangyan Jiang; Qianqian Xu 001; Ke Ma 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (AAAI, 2021)

Deep Partial Rank Aggregation for Personalized Attributes. - Qianqian Xu 001; Zhiyong Yang 001; Zuyao Chen; Yangbangyan Jiang; Xiaochun Cao; Yuan Yao 011; Qingming Huang (AAAI, 2021)

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. - Peisong Wen; Qianqian Xu 001; Yangbangyan Jiang; Zhiyong Yang 001; Yuan He 011; Qingming Huang (CVPR, 2021)

When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC. - Zhiyong Yang 001; Qianqian Xu 001; Shilong Bao; Yuan He 011; Xiaochun Cao; Qingming Huang (ICML, 2021)

Learning Unified Embeddings for Recommendation via Meta-path Semantics. - Qianxiu Hao; Qianqian Xu 001; Zhiyong Yang 001; Qingming Huang (ACM Multimedia, 2021)

Pareto Optimality for Fairness-constrained Collaborative Filtering. - Qianxiu Hao; Qianqian Xu 001; Zhiyong Yang 001; Qingming Huang (ACM Multimedia, 2021)

Implicit Feedbacks are Not Always Favorable: Iterative Relabeled One-Class Collaborative Filtering against Noisy Interactions. - Zitai Wang; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2021)

When False Positive is Intolerant: End-to-End Optimization with Low FPR for Multipartite Ranking. - Peisong Wen; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Qingming Huang (NeurIPS, 2021)

Evaluating Visual Properties via Robust HodgeRank. - Qianqian Xu 001; Jiechao Xiong; Xiaochun Cao; Qingming Huang; Yuan Yao 011 (Int. J. Comput. Vis., 2021)

Stereo superpixel: An iterative framework based on parallax consistency and collaborative optimization. - Hua Li 012; Runmin Cong; Sam Kwong; Chuanbo Chen; Qianqian Xu 001; Chongyi Li (Inf. Sci., 2021)

Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction. - Zhiyong Yang 001; Qianqian Xu 001; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2021)

DPANet: Depth Potentiality-Aware Gated Attention Network for RGB-D Salient Object Detection. - Zuyao Chen; Runmin Cong; Qianqian Xu 001; Qingming Huang (IEEE Trans. Image Process., 2021)

Fast Stochastic Ordinal Embedding With Variance Reduction and Adaptive Step Size. - Ke Ma 001; Jinshan Zeng; Jiechao Xiong; Qianqian Xu 001; Xiaochun Cao; Wei Liu 005; Yuan Yao 011 (IEEE Trans. Knowl. Data Eng., 2021)

Neural Collaborative Preference Learning With Pairwise Comparisons. - Zhaopeng Li; Qianqian Xu 001; Yangbangyan Jiang; Ke Ma 001; Xiaochun Cao; Qingming Huang (IEEE Trans. Multim., 2021)

Geometry Interaction Knowledge Graph Embeddings. - Zongsheng Cao; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (AAAI, 2022)

ER: Equivariance Regularizer for Knowledge Graph Completion. - Zongsheng Cao; Qianqian Xu 001; Zhiyong Yang 001; Qingming Huang (AAAI, 2022)

Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. - Yunrui Zhao; Qianqian Xu 001; Yangbangyan Jiang; Peisong Wen; Qingming Huang (CVPR, 2022)

AdAUC: End-to-end Adversarial AUC Optimization Against Long-tail Problems. - Wenzheng Hou; Qianqian Xu 001; Zhiyong Yang 001; Shilong Bao; Yuan He 011; Qingming Huang (ICML, 2022)

Quaternion Ordinal Embedding. - Wenzheng Hou; Qianqian Xu 001; Ke Ma 001; Qianxiu Hao; Qingming Huang (IJCAI, 2022)

Recurrent Meta-Learning against Generalized Cold-start Problem in CTR Prediction. - Junyu Chen; Qianqian Xu 001; Zhiyong Yang 001; Ke Ma 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2022)

A Unified Framework against Topology and Class Imbalance. - Junyu Chen; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2022)

Confederated Learning: Going Beyond Centralization. - Zitai Wang; Qianqian Xu 001; Ke Ma 001; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2022)

Pay Attention to Your Positive Pairs: Positive Pair Aware Contrastive Knowledge Distillation. - Zhipeng Yu; Qianqian Xu 001; Yangbangyan Jiang; Haoyu Qin; Qingming Huang (ACM Multimedia, 2022)

The Minority Matters: A Diversity-Promoting Collaborative Metric Learning Algorithm. - Shilong Bao; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2022)

OTKGE: Multi-modal Knowledge Graph Embeddings via Optimal Transport. - Zongsheng Cao; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2022)

Asymptotically Unbiased Instance-wise Regularized Partial AUC Optimization: Theory and Algorithm. - Huiyang Shao; Qianqian Xu 001; Zhiyong Yang 001; Shilong Bao; Qingming Huang (NeurIPS, 2022)

OpenAUC: Towards AUC-Oriented Open-Set Recognition. - Zitai Wang; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2022)

Exploring the Algorithm-Dependent Generalization of AUPRC Optimization with List Stability. - Peisong Wen; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Qingming Huang (NeurIPS, 2022)

Meta-Wrapper: Differentiable Wrapping Operator for User Interest Selection in CTR Prediction. - Tianwei Cao; Qianqian Xu 001; Zhiyong Yang 001; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Poisoning Attack Against Estimating From Pairwise Comparisons. - Ke Ma 001; Qianqian Xu 001; Jinshan Zeng; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Not All Samples are Trustworthy: Towards Deep Robust SVP Prediction. - Qianqian Xu 001; Zhiyong Yang 001; Yangbangyan Jiang; Xiaochun Cao; Yuan Yao 011; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Learning With Multiclass AUC: Theory and Algorithms. - Zhiyong Yang 001; Qianqian Xu 001; Shilong Bao; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Weakly Supervised Anomaly Detection in Videos Considering the Openness of Events. - Chen Zhang 013; Guorong Li; Qianqian Xu 001; Xinfeng Zhang 001; Li Su 003; Qingming Huang (IEEE Trans. Intell. Transp. Syst., 2022)

Towards Decision-Friendly AUC: Learning Multi-Classifier with AUCµ. - Peifeng Gao; Qianqian Xu 001; Peisong Wen; Huiyang Shao; Yuan He 011; Qingming Huang (AAAI, 2023)

Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. - Huiyang Shao; Qianqian Xu 001; Peisong Wen; Peifeng Gao; Zhiyong Yang 001; Qingming Huang (ICCV, 2023)

Feature Directions Matter: Long-Tailed Learning via Rotated Balanced Representation. - Peifeng Gao; Qianqian Xu 001; Peisong Wen; Zhiyong Yang 001; Huiyang Shao; Qingming Huang (ICML, 2023)

PSNEA: Pseudo-Siamese Network for Entity Alignment between Multi-modal Knowledge Graphs. - Wenxin Ni; Qianqian Xu 001; Yangbangyan Jiang; Zongsheng Cao; Xiaochun Cao; Qingming Huang (ACM Multimedia, 2023)

When Measures are Unreliable: Imperceptible Adversarial Perturbations toward Top-k Multi-Label Learning. - Yuchen Sun; Qianqian Xu 001; Zitai Wang; Qingming Huang (ACM Multimedia, 2023)

DRAUC: An Instance-wise Distributionally Robust AUC Optimization Framework. - Siran Dai; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (NeurIPS, 2023)

Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning. - Huiyang Shao; Qianqian Xu 001; Zhiyong Yang 001; Peisong Wen; Peifeng Gao; Qingming Huang (NeurIPS, 2023)

A Unified Generalization Analysis of Re-Weighting and Logit-Adjustment for Imbalanced Learning. - Zitai Wang; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (NeurIPS, 2023)

A Study of Neural Collapse Phenomenon: Grassmannian Frame, Symmetry, Generalization. - Peifeng Gao; Qianqian Xu 001; Peisong Wen; Huiyang Shao; Zhiyong Yang 001; Qingming Huang (CoRR, 2023)

Towards Demystifying the Generalization Behaviors When Neural Collapse Emerges. - Peifeng Gao; Qianqian Xu 001; Yibo Yang; Peisong Wen; Huiyang Shao; Zhiyong Yang 001; Bernard Ghanem; Qingming Huang (CoRR, 2023)

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling. - Shilong Bao; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

A Tale of HodgeRank and Spectral Method: Target Attack Against Rank Aggregation is the Fixed Point of Adversarial Game. - Ke Ma 001; Qianqian Xu 001; Jinshan Zeng; Guorong Li; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Optimizing Partial Area Under the Top-k Curve: Theory and Practice. - Zitai Wang; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

MaxMatch: Semi-Supervised Learning With Worst-Case Consistency. - Yangbangyan Jiang; Xiaodan Li; Yuefeng Chen; Yuan He 011; Qianqian Xu 001; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Rethinking Label Flipping Attack: From Sample Masking to Sample Thresholding. - Qianqian Xu 001; Zhiyong Yang 001; Yunrui Zhao; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Optimizing Two-Way Partial AUC With an End-to-End Framework. - Zhiyong Yang 001; Qianqian Xu 001; Shilong Bao; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Positive-Unlabeled Learning With Label Distribution Alignment. - Yangbangyan Jiang; Qianqian Xu 001; Yunrui Zhao; Zhiyong Yang 001; Peisong Wen; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

AUC-Oriented Domain Adaptation: From Theory to Algorithm. - Zhiyong Yang 001; Qianqian Xu 001; Shilong Bao; Peisong Wen; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Revisiting AUC-Oriented Adversarial Training With Loss-Agnostic Perturbations. - Zhiyong Yang 001; Qianqian Xu 001; Wenzheng Hou; Shilong Bao; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection. - Junwei He 003; Qianqian Xu 001; Yangbangyan Jiang; Zitai Wang; Qingming Huang (AAAI, 2024)

Multimodal Knowledge Graph Embeddings via Lorentz-based Contrastive Learning. - Ruizhou Liu; Zongsheng Cao; Zhe Wu 006; Qianqian Xu 001; Qingming Huang (ICME, 2024)

Harnessing Hierarchical Label Distribution Variations in Test Agnostic Long-tail Recognition. - Zhiyong Yang 001; Qianqian Xu 001; Zitai Wang; Sicong Li; Boyu Han; Shilong Bao; Xiaochun Cao; Qingming Huang (ICML, 2024)

ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection. - Hongyu Liu 003; Runmin Cong; Hua Li 012; Qianqian Xu 001; Qingming Huang; Wei Zhang 021 (ICML, 2024)

ReconBoost: Boosting Can Achieve Modality Reconcilement. - Cong Hua; Qianqian Xu 001; Shilong Bao; Zhiyong Yang 001; Qingming Huang (ICML, 2024)

Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection. - Feiran Li; Qianqian Xu 001; Shilong Bao; Zhiyong Yang 001; Runmin Cong; Xiaochun Cao; Qingming Huang (ICML, 2024)

HGOE: Hybrid External and Internal Graph Outlier Exposure for Graph Out-of-Distribution Detection. - Junwei He 003; Qianqian Xu 001; Yangbangyan Jiang; Zitai Wang; Yuchen Sun; Qingming Huang (ACM Multimedia, 2024)

Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval. - Yang Liu 350; Qianqian Xu 001; Peisong Wen; Siran Dai; Qingming Huang (ACM Multimedia, 2024)

Regularized Contrastive Partial Multi-view Outlier Detection. - Yijia Wang; Qianqian Xu 001; Yangbangyan Jiang; Siran Dai; Qingming Huang (ACM Multimedia, 2024)

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation. - Boyu Han; Qianqian Xu 001; Zhiyong Yang 001; Shilong Bao; Peisong Wen; Yangbangyan Jiang; Qingming Huang (NeurIPS, 2024)

Suppress Content Shift: Better Diffusion Features via Off-the-Shelf Generation Techniques. - Benyuan Meng; Qianqian Xu 001; Zitai Wang; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (NeurIPS, 2024)

Not All Diffusion Model Activations Have Been Evaluated as Discriminative Features. - Benyuan Meng; Qianqian Xu 001; Zitai Wang; Xiaochun Cao; Qingming Huang (NeurIPS, 2024)

Algorithm-Dependent Generalization of AUPRC Optimization: Theory and Algorithm. - Peisong Wen; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Enhancing Sample Utilization in Noise-Robust Deep Metric Learning With Subgroup-Based Positive-Pair Selection. - Zhipeng Yu; Qianqian Xu 001; Yangbangyan Jiang; Yingfei Sun; Qingming Huang (IEEE Trans. Image Process., 2024)

Mitigating Confounding Bias in Practical Recommender Systems With Partially Inaccessible Exposure Status. - Tianwei Cao; Qianqian Xu 001; Zhiyong Yang 001; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation. - Shilong Bao; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Sequential Manipulation Against Rank Aggregation: Theory and Algorithm. - Ke Ma 001; Qianqian Xu 001; Jinshan Zeng; Wei Liu 005; Xiaochun Cao; Yingfei Sun; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Bidirectional Logits Tree: Pursuing Granularity Reconcilement in Fine-Grained Classification. - Zhiguang Lu; Qianqian Xu 001; Shilong Bao; Zhiyong Yang 001; Qingming Huang (AAAI, 2025)

SSE-SAM: Balancing Head and Tail Classes Gradually Through Stage-Wise SAM. - Xingyu Lyu; Qianqian Xu 001; Zhiyong Yang 001; Shaojie Lyu; Qingming Huang (AAAI, 2025)

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting. - Gaozheng Pei; Shaojie Lyu; Ke Ma 001; Pinci Yang; Qianqian Xu 001; Yingfei Sun (AAAI, 2025)

EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion. - Yuchen Sun; Qianqian Xu 001; Zitai Wang; Zhiyong Yang 001; Junwei He 003 (AAAI, 2025)

When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning. - Yang Liu 350; Qianqian Xu 001; Peisong Wen; Siran Dai; Qingming Huang (CVPR, 2025)

Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification. - Gaozheng Pei; Shaojie Lyu; Gong Chen; Ke Ma 001; Qianqian Xu 001; Yingfei Sun; Qingming Huang (CVPR, 2025)

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-label Classification. - Zitai Wang; Qianqian Xu 001; Zhiyong Yang 001; Peisong Wen; Yuan He 011; Xiaochun Cao; Qingming Huang (Int. J. Comput. Vis., 2025)

Practically Unbiased Pairwise Loss for Recommendation With Implicit Feedback. - Tianwei Cao; Qianqian Xu 001; Zhiyong Yang 001; Zhanyu Ma; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Diffusion-based Adversarial Purification from the Perspective of the Frequency Domain. - Gaozheng Pei; Ke Ma 001; Yingfei Sun; Qianqian Xu 001; Qingming Huang (CoRR, 2025)

Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification. - Sicong Li; Qianqian Xu 001; Zhiyong Yang 001; Zitai Wang; Linchao Zhang; Xiaochun Cao; Qingming Huang (CoRR, 2025)

Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs. - Haoming Yang; Ke Ma 001; Xiaojun Jia; Yingfei Sun; Qianqian Xu 001; Qingming Huang (CoRR, 2025)

ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via α-β-Divergence. - Guanghui Wang 001; Zhiyong Yang 001; Zitai Wang; Shi Wang; Qianqian Xu 001; Qingming Huang (CoRR, 2025)

OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning. - Cong Hua; Qianqian Xu 001; Zhiyong Yang 001; Zitai Wang; Shilong Bao; Qingming Huang (CoRR, 2025)

MixBridge: Heterogeneous Image-to-Image Backdoor Attack through Mixture of Schrödinger Bridges. - Shixi Qin; Zhiyong Yang 001; Shilong Bao; Shi Wang; Qianqian Xu 001; Qingming Huang (CoRR, 2025)

One Image is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework. - Feiran Li; Qianqian Xu 001; Shilong Bao; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (CoRR, 2025)

Exploring Non-contrastive Self-supervised Representation Learning for Image-based Profiling. - Siran Dai; Qianqian Xu 001; Peisong Wen; Yang Liu 350; Qingming Huang (CoRR, 2025)

A Unified Framework for Stealthy Adversarial Generation via Latent Optimization and Transferability Enhancement. - Gaozheng Pei; Ke Ma 001; Dongpeng Zhang; Chengzhi Sun; Qianqian Xu 001; Qingming Huang (CoRR, 2025)

AUCPro: AUC-Oriented Provable Robustness Learning. - Shilong Bao; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

SGKGE: Semantically Guided Knowledge Graph Embeddings via Complementary Latent Representations. - Ruizhou Liu; Zongsheng Cao; Zhe Wu 006; Yiling Wu; Qianqian Xu 001; Qingming Huang (IEEE Trans. Neural Networks Learn. Syst., 2025)

GAHE: Geometry-Aware Embedding for Hyper-Relational Knowledge Graph Representation. - Zongsheng Cao; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (ACM Trans. Multim. Comput. Commun. Appl., 2025)

Hybrid Generative Fusion for Efficient and Privacy-Preserving Face Recognition Dataset Generation. - Feiran Li; Qianqian Xu 001; Shilong Bao; Boyu Han; Zhiyong Yang 001; Qingming Huang (CoRR, 2025)

Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation. - Pinci Yang; Peisong Wen; Ke Ma 001; Qianqian Xu 001 (CoRR, 2025)

Semantic Concentration for Self-Supervised Dense Representations Learning. - Peisong Wen; Qianqian Xu 001; Siran Dai; Runmin Cong; Qingming Huang (CoRR, 2025)

Dual-Stage Reweighted MoE for Long-Tailed Egocentric Mistake Detection. - Boyu Han; Qianqian Xu 001; Shilong Bao; Zhiyong Yang 001; Sicong Li; Qingming Huang (CoRR, 2025)

Towards Size-invariant Salient Object Detection: A Generic Evaluation and Optimization Approach. - Shilong Bao; Qianqian Xu 001; Feiran Li; Boyu Han; Zhiyong Yang 001; Xiaochun Cao; Qingming Huang (CoRR, 2025)

LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders. - Boyu Han; Qianqian Xu 001; Shilong Bao; Zhiyong Yang 001; Kangli Zi; Qingming Huang (CoRR, 2025)

Exploring Structural Degradation in Dense Representations for Self-supervised Learning. - Siran Dai; Qianqian Xu 001; Peisong Wen; Yang Liu 350; Qingming Huang (CoRR, 2025)

SAQE: Complex Logical Query Answering via Semantic-Aware Representation Learning. - Zongsheng Cao; Qianqian Xu 001; Zhiyong Yang 001; Yuan He 011; Xiaochun Cao; Qingming Huang (IEEE Trans. Knowl. Data Eng., 2025)