Xu, Qianqian

59 publications

ICML 2025 ABKD: Pursuing a Proper Allocation of the Probability Mass in Knowledge Distillation via $α$-$β$-Divergence Guanghui Wang, Zhiyong Yang, Zitai Wang, Shi Wang, Qianqian Xu, Qingming Huang

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

ICML 2025 Cannot See the Forest for the Trees: Invoking Heuristics and Biases to Elicit Irrational Choices of LLMs Haoming Yang, Ke Ma, Xiaojun Jia, Yingfei Sun, Qianqian Xu, Qingming Huang

ICML 2025 Diffusion-Based Adversarial Purification from the Perspective of the Frequency Domain Gaozheng Pei, Ke Ma, Yingfei Sun, Qianqian Xu, Qingming Huang

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

AAAI 2025 EDGE: Unknown-Aware Multi-Label Learning by Energy Distribution Gap Expansion Yuchen Sun, Qianqian Xu, Zitai Wang, Zhiyong Yang, Junwei He

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

NeurIPS 2025 Exploring Structural Degradation in Dense Representations for Self-Supervised Learning Siran Dai, Qianqian Xu, Peisong Wen, Yang Liu, Qingming Huang

ICML 2025 Focal-SAM: Focal Sharpness-Aware Minimization for Long-Tailed Classification Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang, Linchao Zhang, Xiaochun Cao, Qingming Huang

NeurIPS 2025 LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-Trained Text Encoders Boyu Han, Qianqian Xu, Shilong Bao, Zhiyong Yang, Kangli Zi, Qingming Huang

ICML 2025 MixBridge: Heterogeneous Image-to-Image Backdoor Attack Through Mixture of Schrödinger Bridges Shixi Qin, Zhiyong Yang, Shilong Bao, Shi Wang, Qianqian Xu, Qingming Huang

ICML 2025 One Image Is Worth a Thousand Words: A Usability Preservable Text-Image Collaborative Erasing Framework Feiran Li, Qianqian Xu, Shilong Bao, Zhiyong Yang, Xiaochun Cao, Qingming Huang

ICML 2025 OpenworldAUC: Towards Unified Evaluation and Optimization for Open-World Prompt Tuning Cong Hua, Qianqian Xu, Zhiyong Yang, Zitai Wang, Shilong Bao, Qingming Huang

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

CVPR 2025 When the Future Becomes the past: Taming Temporal Correspondence for Self-Supervised Video Representation Learning Yang Liu, Qianqian Xu, Peisong Wen, Siran Dai, Qingming Huang

AAAI 2024 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang

NeurIPS 2024 AUCSeg: AUC-Oriented Pixel-Level Long-Tail Semantic Segmentation Boyu Han, Qianqian Xu, Zhiyong Yang, Shilong Bao, Peisong Wen, Yangbangyan Jiang, Qingming Huang

ICML 2024 ESNet: Evolution and Succession Network for High-Resolution Salient Object Detection Hongyu Liu, Runmin Cong, Hua Li, Qianqian Xu, Qingming Huang, Wei Zhang

ICML 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

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

ICML 2024 ReconBoost: Boosting Can Achieve Modality Reconcilement Cong Hua, Qianqian Xu, Shilong Bao, Zhiyong Yang, Qingming Huang

ICML 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

NeurIPS 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

NeurIPS 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

ICCV 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

NeurIPS 2023 DRAUC: An Instance-Wise Distributionally Robust AUC Optimization Framework Siran Dai, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

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

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

NeurIPS 2023 Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning HuiYang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Gao Peifeng, Qingming Huang

ICML 2022 AdAUC: End-to-End Adversarial AUC Optimization Against Long-Tail Problems Wenzheng Hou, Qianqian Xu, Zhiyong Yang, Shilong Bao, Yuan He, Qingming Huang

NeurIPS 2022 Asymptotically Unbiased Instance-Wise Regularized Partial AUC Optimization: Theory and Algorithm HuiYang Shao, Qianqian Xu, Zhiyong Yang, Shilong Bao, Qingming Huang

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

AAAI 2022 ER: Equivariance Regularizer for Knowledge Graph Completion Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Qingming Huang

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

AAAI 2022 Geometry Interaction Knowledge Graph Embeddings Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

NeurIPS 2022 OTKGE: Multi-Modal Knowledge Graph Embeddings via Optimal Transport Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Yuan He, Xiaochun Cao, Qingming Huang

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

IJCAI 2022 Quaternion Ordinal Embedding Wenzheng Hou, Qianqian Xu, Ke Ma, Qianxiu Hao, Qingming Huang

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

AAAI 2021 Deep Partial Rank Aggregation for Personalized Attributes Qianqian Xu, Zhiyong Yang, Zuyao Chen, Yangbangyan Jiang, Xiaochun Cao, Yuan Yao, Qingming Huang

AAAI 2021 Dual Quaternion Knowledge Graph Embeddings Zongsheng Cao, Qianqian Xu, Zhiyong Yang, Xiaochun Cao, Qingming Huang

CVPR 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

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

ICML 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

NeurIPS 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

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

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

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

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

NeurIPS 2019 Generalized Block-Diagonal Structure Pursuit: Learning Soft Latent Task Assignment Against Negative Transfer Zhiyong Yang, Qianqian Xu, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang

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

AAAI 2019 Less but Better: Generalization Enhancement of Ordinal Embedding via Distributional Margin Ke Ma, Qianqian Xu, Zhiyong Yang, Xiaochun Cao

AAAI 2019 Robust Ordinal Embedding from Contaminated Relative Comparisons Ke Ma, Qianqian Xu, Xiaochun Cao

NeurIPS 2019 iSplit LBI: Individualized Partial Ranking with Ties via Split LBI Qianqian Xu, Xinwei Sun, Zhiyong Yang, Xiaochun Cao, Qingming Huang, Yuan Yao

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

AAAI 2018 HodgeRank with Information Maximization for Crowdsourced Pairwise Ranking Aggregation Qianqian Xu, Jiechao Xiong, Xi Chen, Qingming Huang, Yuan Yao

AAAI 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

ECCVW 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

ICML 2016 False Discovery Rate Control and Statistical Quality Assessment of Annotators in Crowdsourced Ranking QianQian Xu, Jiechao Xiong, Xiaochun Cao, Yuan Yao