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Awesome-Noisy-Correspondence

★ 141 Open GitHub ↗

This is a summary of research on noisy correspondence. There may be omissions. If anything is missing please get in touch with us. Our emails: linyijie.gm@gmail.com yangmouxing@gmail.com qinyang.gm@gmail.com hechanghao.gm@gmail.com

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# Noisy-Correspondence Learning Summary (Updating)
A **new research direction** in Trustworthy Machine Learning. 
Noisy correspondence refers to inherently irrelevant or relevant samples that are wrongly regarded as associated (_i.e._, false positive) or unassociated (_i.e._, false negative), which is first revealed and studied in [NCR (NeurIPS 2021, Oral)](https://proceedings.neurips.cc/paper/2021/file/f5e62af885293cf4d511ceef31e61c80-Paper.pdf) and [MvCLN (CVPR 2021)](https://openaccess.thecvf.com/content/CVPR2021/html/Yang_Partially_View-Aligned_Representation_Learning_With_Noise-Robust_Contrastive_Loss_CVPR_2021_paper.html) by the [XLearning](https://github.com/XLearning-SCU) group.
Noisy correspondence learning aims to eliminate the adverse effects of such mismatched pairs (e.g., false positives/negatives) across various tasks.

We mark works contributed by our group with ⭐.

*This repository now is maintained by [Mouxing Yang](https://mouxingyang.github.io/), [Yijie Lin](https://lin-yijie.github.io/), [Changhao He](https://he-changhao.github.io/), and [Yang Qin](https://qinyang-cs.github.io/). We hope more researchers join us and thank [all contributors](https://github.com/QinYang79/Noisy-Correspondence-Summary/graphs/contributors)!*  
## Tasks

|||
|-|-|
|  [Image-Text Matching/Retrieval](#image-text-matchingretrieval)   |  [Vision-Language Pre-training](#vision-language-pre-training) |
|  [Re-identification](#re-identification)                          |  [Video-Text Learning](#video-text-learning)                   |
|  [Image Captioning](#image-captioning)                            |  [Image Contrastive Learning](#image-contrastive-learning)     |
|  [Graph Matching ](#graph-matching)                               |  [Visual-Audio Learning](#visual-audio-learning)               |
|  [Machine Reading Comprehension](#machine-reading-comprehension)  |  [Dense Retrieval](#dense-retrieval)                           |
|  [Retrieval-Augmented Generation](#retrieval-augmented-generation)|  [Multi-modal/view Classification](#multi-modalview-classification) |
|  [Multi-View Clustering](#multi-view-clustering)                  |  [Composed Image/Video Retrieval](#composed-imagevideo-retrieval) |
|  [Text-to-SQL](#text-to-sql)                                      |  [Legal Case Retrieval](#legal-case-retrieval)                 |
|  [3D-Text Matching](#3d-text-matching)                            |                                                                  |
|||

## Image-Text Matching/Retrieval

#### 2026

- `[2026 TIP]` **Pseudo-Text Guided Robust Learning for Noisy Correspondence in Cross-Modal Retrieval**  
*Dan Shi, Zechao Li, Lei Zhu, Jinhui Tang*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/11455609)
[[code]](https://github.com/shidan0122/PTRL.git)

- `[2026 AAAI Oral ⭐]` **Robust Semi-paired Multimodal Learning for Cross-modal Retrieval**  
*Yang Qin, Yuan Sun, Xi Peng, Dezhong Peng, Joey Tianyi Zhou, Xiaomin Song, Peng Hu*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/39684)
[[code]](https://github.com/QinYang79/RCSL)

- `[2026 AAAI]` **Noisy Correspondence Learning with Modality Gap Direction Correction**  
*Wuyuqing Wang, Zeyuan Gu, Erkun Yang*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/37984)
[[code]](https://github.com/wwyq1/MGCS)

- `[2026 AAAI]` **Boosting Noisy Correspondence Discrimination via Dynamic Neighborhood Semantic Verification**  
*Yu Wang, Fengxia Han, Jianyu Wang*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/39880)

- `[2026 TCSVT]` **Aleatoric-Epistemic Joint Uncertainty Modeling for Cross-Modal Retrieval**  
*Tianyu Chang, Peipei Song, Xun Yang, Dan Guo, Xiaojun Chang*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/11410080)

- `[2026 TIP]` **Exploring Hierarchical Cross-Modal Correlation Consistency for Partial Mismatching**  
*Xiaoqing Liu, Zhiwen Yu, Jun Yu, Huanqiang Zeng, Zhuoyao Wang , C. L. Philip Chen*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/11410080)

- `[2026 TMM]` **Privileged information assisted learning from noisy correspondence**  
*Tao Yao , Yizhen Wu , Linliang Zhang, Guorui Sheng , Ying Li , Qi Tian*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/11410080)

- `[2026 Neurocomputing]` **Privileged information assisted learning from noisy correspondence**  
Zihua Zhao, Tianjie Dai, Mengxi Chen, Jiangchao Yao, Bo Han, Ya Zhang, Yanfeng Wang*  
[[paper]](https://www.sciencedirect.com/science/article/pii/S092523122600130X)

- `[2026 Info. F.]` **Negative Can Be Positive: A Stable and Noise-Resistant Complementary Contrastive Learning for Cross-Modal Matching**  
*Fangming Zhong, Xinyu He, Haiquan Yu, Xiu Liu, Suhua Zhang*  
[[paper]](http://home.njustkmg.cn:4056/assets/pdf/publications/Conference%20Papers/GLP.pdf)
[[code]](https://github.com/hxy2969/dcl)

- `[2026 SCIS]` **Noise Self-Correction via Relation Propagation for Robust Cross-Modal Retrieval**  
*Yu Liu, Haipeng Chen, Xun Yang, Yingda Lyu, Meng Wang*  
[[paper]](http://scis.scichina.com/en/2026/132107.pdf)

- `[2026 ubinec.org]` **HaNa: Hardness and Noise-Aware Robust Cross-modal Retrieval**  
*Fangming Zhong, Haiquan Yu, Cun Zhu, Suhua Zhang*  
[[paper]](http://ubinec.org/zfm/src/publication/HaNa.pdf)

#### 2025

- `[2025 ACM MM]` **Noise Self-Correction via Relation Propagation for Robust Cross-Modal Retrieval**  
*Ruoxuan Li, Xiangyu Wu, Yang Yang*  
[[paper]](http://home.njustkmg.cn:4056/assets/pdf/publications/Conference%20Papers/GLP.pdf)
[[code]](https://github.com/njustkmg/MM25-GLP)

- `[2025 IJCAI]` **Seeking Proxy Point via Stable Feature Space for Noisy Correspondence Learning**  
*Yucheng Xie, Songyue Cai, Tao Tong, Ping Hu, Xiaofeng Zhu*   
[[paper]](https://www.ijcai.org/proceedings/2025/0231.pdf)
[[code]](https://github.com/C-TeaRanger/SPS)

- `[2025 Arxiv]` **PCSR: Pseudo-label Consistency-Guided Sample Refinement for Noisy Correspondence Learning**  
*Zhuoyao Liu, Yang Liu, Wentao Feng, Shudong Huang*  
[[paper]](https://arxiv.org/pdf/2509.15623)

- `[2025 Arxiv]` **PAUL: Uncertainty-Guided Partition and Augmentation for Robust Cross-View Geo-Localization under Noisy Correspondence**  
*Zheng Li, Yanming Guo, WenZhe Liu, Xueyi Zhang, Zhaoyun Ding, Long Xu, Mingrui Lao*  
[[paper]](https://arxiv.org/pdf/2508.20066)

- `[2025 Arxiv]` **Unlearning the Noisy Correspondence Makes CLIP More Robust**  
*Haochen Han, Alex Jinpeng Wang, Peijun Ye, Fangming Liu*  
[[paper]](https://arxiv.org/pdf/2507.03434)

- `[2025 AIC.]` **Cross-Modal Matching with Noisy Correspondence via Neighbor Replacing**  
*Ao Han and Yang Cao*  
[[paper]](https://link.springer.com/chapter/10.1007/978-981-96-9794-6_26)

- `[2025 SIGIR]` **Meta-Guided Adaptive Weight Learner for Noisy Correspondence**  
*Chenyu Mu, Erkun Yang, Cheng Deng*  
[[paper]](https://dl.acm.org/doi/abs/10.1145/3726302.3730032)

- `[TIP 2025]` **UCPM: Uncertainty-Guided Cross-Modal Retrieval With Partially Mismatched Pairs**  
*Quanxing Zha, Xin Liu, Yiu-Ming Cheung, Shu-Juan Peng, Xing Xu, Nannan Wang*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/11024122)
[[code]](https://github.com/qxzha/UCPM)

- `[2025 ICIC]` **Cross-Modal Matching with Noisy Correspondence via Neighbor Replacing**  
*Ao Han, Yang Cao*  
[[paper]](https://link.springer.com/chapter/10.1007/978-981-96-9794-6_26)

- `[2025 ICLR]` **Discovering Clone Negatives via Adaptive Contrastive Learning for Image-Text Matching**  
*Renjie Pan, Jihao Dong, Hua Yang*  
[[paper]](https://openreview.net/pdf?id=My9MBsO41H)

- `[2025 TIP]` **Disentangled Noisy Correspondence Learning**  
*Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang*  
[[paper]](https://arxiv.org/pdf/2408.05503)

- `[2025 CVPR]` **ReCon: Enhancing True Correspondence Discrimination through Relation Consistency for Robust Noisy Correspondence Learning**  
*Quanxing Zha, Xin Liu, Shu-Juan Peng, Yiu-ming Cheung, Xing Xu, Nannan Wang*  
[[paper]](https://arxiv.org/pdf/2502.19962)
[[code]](https://github.com/qxzha/ReCon)

- `[2025 AAAI]` **Noisy Correspondence Rectification via Asymmetric Similarity Learning**  
*Yunbo Wang, YuJie Wu, Zhien Dai, Can Tian, Jun Long, Jianhai Chen*    
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/35439)

- `[2025 AAAI]` **TSVC: Tripartite Learning with Semantic Variation Consistency for Robust Image-Text Retrieval**  
*Shuai Lyu, Zijing Tian, Zhonghong Ou, Yifan Zhu, Xiao Zhang, Qiankun Ha, Haoran Luo, Meina Song*    
[[paper]](https://arxiv.org/pdf/2501.10935)

- `[2025 AAAI]` **Noisy Correspondence Rectifcation via Asymmetric Similarity Learning**  
*Yunbo Wang, YuJie Wu, Zhien Dai, Can Tian, Jun Long, Jianhai Chen*    
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/35439)

#### 2024

- `[2024 Arxiv]` **Robust Noisy Correspondence Learning via Self-Drop and Dual-Weight**  
*Fan Liu, Chenwei Dong, Chuanyi Zhang, Hualiang Zhou, Jun Zhou*    
[[paper]](https://arxiv.org/abs/2412.06172)

- `[2024 Arxiv]` **One-step Noisy Label Mitigation**  
*Hao Li, Jiayang Gu, Jingkuan Song, An Zhang, Lianli Gao*    
[[paper]](https://arxiv.org/pdf/2410.01944)
[[code]](https://github.com/leolee99/OSA)

- `[2024 TOMM]`  **Bias Mitigation and Representation Optimization for Noise-Robust Cross-modal Retrieval**  
*Yu Liu, Haipeng Chen, Guihe Qin, Jincai Song, Xun Yang*  
[[paper]](https://dl.acm.org/doi/pdf/10.1145/3700596)

- `[2024 MICCAI]` **Medical Cross-Modal Prompt Hashing with Robust Noisy Correspondence Learning**  
*Yishu Liu, Zhongqi Wu, Bingzhi Chen, Zheng Zhang, Guangming Lu*  
[[paper]](https://papers.miccai.org/miccai-2024/paper/2150_paper.pdf)

- `[2024 ACMMM]` **Partially Aligned Cross-modal Retrieval via Optimal Transport-based Prototype Alignment Learning**  
*Junsheng Wang, Tiantian Gong, Yan Yan*   
[[paper]](https://dl.acm.org/doi/10.1145/3664647.3681577)

- `[2024 ACMMM]` **$\text{PC}^2$: Pseudo-Classification Based Pseudo-Captioning for Noisy Correspondence Learning in Cross-Modal Retrieval**  
*Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi*   
[[paper]](https://arxiv.org/abs/2408.01349)
[[code]](https://github.com/alipay/PC2-NoiseofWeb)

- `[2024 SIGIR]` **UGNCL: Uncertainty-Guided Noisy Correspondence Learning for Efficient Cross-Modal Matching**  
*Quanxing Zha, Xin Liu, Yiu-ming Cheung, Xing Xu, Nannan Wang, Jianjia Cao*   
[[paper]](https://dl.acm.org/doi/abs/10.1145/3626772.3657806)
[[code]](https://github.com/qxzha/UGNCL)

- `[2024 IJCV]` **⭐Learning with Noisy Correspondence**  
*Zhenyu Huang, Peng Hu, Guocheng Niu, Xinyan Xiao, Jiancheng Lv, Xi Peng*   
[[paper]](https://link.springer.com/article/10.1007/s11263-024-02064-0)

- `[2024 TOIS]` **Breaking Through the Noisy Correspondence: A Robust Model for Image-Text Matching**   
*Haitao Shi, Meng Liu, Xiaoxuan Mu, Xuemeng Song, Yupeng Hu, Liqiang Nie*  
[[paper]](https://dl.acm.org/doi/abs/10.1145/3662732)

- `[2024 ICASSP]` **NAC: Mitigating Noisy Correspondence in Cross-Modal Matching Via Neighbor Auxiliary Corrector**  
*Yuqing Li, Haoming Huang, Jian Xu, Shao-Lun Huang*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/10448059)

- `[2024 CVPR]` **Robust Noisy Correspondence Learning with Equivariant Similarity Consistency**  
*Yuchen Yang, Likai Wang, Erkun Yang, Cheng Deng*  
[[paper]](https://openaccess.thecvf.com/content/CVPR2024/papers/Yang_Robust_Noisy_Correspondence_Learning_with_Equivariant_Similarity_Consistency_CVPR_2024_paper.pdf)

- `[2024 CVPR]` **Mitigating Noisy Correspondence by Geometrical Structure Consistency Learning**  
*Zihua Zhao, Mengxi Chen, Tianjie Dai, Jiangchao Yao, Bo han, Ya Zhang, Yanfeng Wang*    
[[paper]](https://arxiv.org/abs/2405.16996)
[[code]](https://github.com/MediaBrain-SJTU/GSC)

- `[2024 CVPR]` **Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval**  
*Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang*  
[[paper]](https://arxiv.org/html/2403.05105v1)
[[code]](https://github.com/hhc1997/L2RM)

- `[2024 CVPR]` **Robust Noisy Correspondence Learning with Equivariant Similarity Consistency**  
*Yuchen Yang, Erkun Yang, Likai Wang, Cheng Deng*  
 [[paper]](https://cvpr.thecvf.com/Conferences/2024/AcceptedPapers)

- `[2024 Arxiv]` **REPAIR: Rank Correlation and Noisy Pair Half-replacing with Memory for Noisy Correspondence**  
*Ruochen Zheng, Jiahao Hong, Changxin Gao, Nong Sang*  
[[paper]](https://arxiv.org/abs/2403.08224)

- `[2024 TIP]` **⭐Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining**  
*Xinran Ma#, Mouxing Yang#, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng*  
[[paper]](http://pengxi.me/wp-content/uploads/2024/03/Cross-modal-Retrieval-with-Noisy-Correspondence-via-Consistency-Refining-and-Mining.pdf)
[[code]](https://github.com/XLearning-SCU/2024-TIP-CREAM)

- `[2024 AAAI]` **Noisy Correspondence Learning with Self-Reinforcing Errors Mitigation**  
*Zhuohang Dang, Minnan Luo, Chengyou Jia, Guang Dai, Xiaojun Chang, Jingdong Wang*  
[[paper]](https://arxiv.org/pdf/2312.16478.pdf)

- `[2024 AAAI]` **Negative Pre-aware for Noisy Cross-modal Matching**  
*Xu Zhang, Hao Li, Mang Ye*  
[[paper]](https://arxiv.org/pdf/2312.05777.pdf)
[[code]](https://github.com/ZhangXu0963/NPC)

#### 2023

- `[2023 NeurIPS]` **⭐Cross-modal Active Complementary Learning with Self-refining Correspondence**  
*Yang Qin and Yuan Sun and Dezhong Peng and Joey Tianyi Zhou and Xi Peng and Peng Hu*  
[[paper]](https://openreview.net/pdf?id=UBBeUjTja8)
[[code]](https://github.com/QinYang79/CRCL)

- `[2023 TPAMI]` **⭐Cross-Modal Retrieval with Partially Mismatched Pairs**  
*Peng Hu, Zhenyu Huang, Dezhong Peng, Xu Wang, Xi Peng*  
[[paper]](http://pengxi.me/wp-content/uploads/2023/03/Cross-Modal_Retrieval_with_Partially_Mismatched_Pairs.pdf)
[[code]](https://github.com/penghu-cs/RCL)

- `[2023 TMM]` **Integrating Language Guidance Into Image-Text Matching for Correcting False Negatives**  
*Zheng Li, Caili Guo, IEEE, Zerun Feng, Jenq-Neng Hwang, Zhongtian Du*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/10081045)

- `[2023 TMM]` **Learning From Noisy Correspondence With Tri-Partition for Cross-Modal Matching**  
*Feng, Zerun and Zeng, Zhimin and Guo, Caili and Li, Zheng and Hu, Lin*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/10258402)

- `[2023 CVPR]` **BiCro: Noisy Correspondence Rectification for Multi-modality Data via Bi-directional Cross-modal Similarity Consistency**  
*Shuo Yang, Zhapan XU, Kai Wang, Yang You, Hongxun Yao, Tongliang Liu, Min Xu*  
[[paper]](https://openaccess.thecvf.com/content/CVPR2023/html/Yang_BiCro_Noisy_Correspondence_Rectification_for_Multi-Modality_Data_via_Bi-Directional_Cross-Modal_CVPR_2023_paper.html)
[[code]](https://github.com/xu5zhao/BiCro)

- `[2023 CVPR]` **MSCN: Noisy Correspondence Learning with Meta Similarity Correction**  
*Han, Haochen and Miao, Kaiyao and Zheng, Qinghua and Luo, Minnan*  
[[paper]](https://openaccess.thecvf.com/content/CVPR2023/html/Han_Noisy_Correspondence_Learning_With_Meta_Similarity_Correction_CVPR_2023_paper.html)
[[code]](https://github.com/hhc1997/MSCN)

#### 2022

- `[2022 ACMMM]` **⭐Deep Evidential Learning with Noisy Correspondence for Cross-Modal Retrieval**  
*Qin, Yang and Peng, Dezhong and Peng, Xi and Wang, Xu and Hu, Peng*  
[[paper]](https://dl.acm.org/doi/abs/10.1145/3503161.3547922)
[[code]](https://github.com/QinYang79/DECL)

#### 2021
- `[2021 NeurIPS Oral]` **⭐Learning with Noisy Correspondence for Cross-modal Matching**  
*Huang, Zhenyu and Niu, Guocheng and Liu, Xiao and Ding, Wenbiao and Xiao, Xinyan and Wu, Hua and Peng, Xi*  
[[paper]](https://proceedings.neurips.cc/paper/2021/file/f5e62af885293cf4d511ceef31e61c80-Paper.pdf)
[[code]](https://github.com/XLearning-SCU/2021-NeurIPS-NCR)

##  Vision-Language Pre-training

- `[2025 ICIC]` **NEVLP: Noise-Robust Framework for Efficient Vision-Language Pre-training**  
*Yiyi Tao, Zhuoyue Wang, Hang Zhang, Lun Wang, and Jianxin Gu*  
[[paper]](https://arxiv.org/pdf/2507.03434)
[[code]](https://github.com/hhc1997/NCU)

- `[2025 ICCV]` **Unlearning the Noisy Correspondence Makes CLIP More Robust**  
*Haochen Han, Alex Jinpeng Wang*, Peijun Ye, Fangming Liu*  
[[paper]](https://arxiv.org/pdf/2507.03434)
[[code]](https://github.com/hhc1997/NCU)

- `[2024 TPAMI]` **⭐Noise-robust Vision-language Pre-training with Positive-negative Learning**  
*Zhenyu Huang#, Mouxing Yang#, Xinyan Xiao, Peng Hu, Xi Peng*  
[[paper]](https://ieeexplore.ieee.org/document/10684058)
[[code]](https://github.com/XLearning-SCU/2024-TPAMI-NEVER)

- `[2023 AAAI]` **NLIP: Noise-Robust Language-Image Pre-training**   
*Runhui Huang, Yanxin Long, Jianhua Han, Hang Xu, Xiwen Liang, Chunjing Xu, Xiaodan Liang*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/25172)

- `[2022 CVPR]` **Robust Cross-Modal Representation Learning with Progressive Self-Distillation**  
*Andonian, Alex and Chen, Shixing and Hamid, Raffay*  
[[paper]](https://openaccess.thecvf.com/content/CVPR2022/papers/Andonian_Robust_Cross-Modal_Representation_Learning_With_Progressive_Self-Distillation_CVPR_2022_paper.pdf)

- `[2022 ICML]` **Blip: Bootstrapping Language-image Pre-training for Unified Vision-language Understanding and Generation**  
Li, Junnan and Li, Dongxu and Xiong, Caiming and Hoi, Steven*  
[[paper]](https://proceedings.mlr.press/v162/li22n/li22n.pdf)
[[code]](https://github.com/salesforce/BLIP)

- `[2021 NeurIPS Spotlight]` **Align before Fuse: Vision and Language Representation Learning with Momentum Distillation**  
*Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, Steven Chu Hong Hoi*  
[[paper]](https://proceedings.neurips.cc/paper_files/paper/2021/file/505259756244493872b7709a8a01b536-Paper.pdf)
[[code]](https://github.com/salesforce/ALBEF)

## Re-identification

- `[2026 AAAI]` **Geometry-Aware Noisy Correspondence Mitigation for Cross-Modal Text-Based Person Retrieval**  
*Xinpan YUan, Shaomin Xie, Liujie Hua, Chengyuan Zhang, Guihu Zhao,  Lin Yuanbo Wu*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/download/38218/42180)

- `[2026 DASFAA]` **Syntax-Aware Dependency Parsing for Dual-Origin Noisy Correspondence in Text-Based Person Search**  
*Xinpan Yuan, Wenguang Gan, Yuqi Chen, Shaomin Xie, Chengyuan Zhang, Liujie Hua*  
[[paper]](https://link.springer.com/content/pdf/10.1007/978-981-92-0363-5_4.pdf?pdf=inline%20link)

- `[2026 SPL]` **Learning With Dual Noisy Labels for Text-to-Image Person Re-identification**  
*Zhaopan Xu, Wangbo Zhao, Pengfei Zhou, Panpan Zhang, Xiaojiang Peng, Hongxun Yao*  
[[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11348104)

- `[2025 TPAMI]` **Multilingual Text-to-Image Person Retrieval via Bidirectional Relation Reasoning and Aligning**  
*Min Cao, Xinyu Zhou, Ding Jiang, Bo Du, Mang Ye, Min Zhang*  
[[paper]](https://github.com/Flame-Chasers/Bi-IRRA)

- `[2025 TIP]` **Dynamic sparse and weight allocation-based text-driven person retrieval**  
*Shuren Zhou, Qihang Zhou, Jiao Liu*  
[[paper]](https://www.sciencedirect.com/science/article/pii/S0262885625003257)

- `[2025 TIP]` **Enhancing Text-Based Person Retrieval by Combining Fused Representation and Reciprocal Learning With Adaptive Loss Refinement**  
*Anh D. Nguyen and Hoa N. Nguyen*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/11119813)

- `[2025 IJCAI]` **Cross-modal Collaborative Representation Learning for Text-to-Image Person Retrieval**  
*Shuanglin Yan, Jun Liu, Neng Dong, Liyan Zhang and Jinhui Tang*  
[[paper]](https://www.ijcai.org/proceedings/2025/0240.pdf)

- `[2025 EMNLP]` **Gradient-Attention Guided Dual-Masking Synergetic Framework for Robust Text-based Person Retrieval**  
*Tianlu Zheng, Yifan Zhang, Xiang An, Ziyong Feng, Kaicheng Yang, Qichuan Ding*  
[[paper]](https://arxiv.org/pdf/2509.09118)
[[code]](https://github.com/Multimodal-Representation-Learning-MRL/GA-DMS)

- `[2025 Information Fusion]` **Dual alignment: Partial negative and soft-label alignment for text-to-image person retrieval**  
*Xulin Song a, Xing Jin, Jin Qi, Jun Liu*  
[[paper]](https://www.sciencedirect.com/science/article/pii/S156625352500716X)

- `[2025 ICIC‌]` **CLIO: A Unified Framework for Consistency-Aware Learning and Intra-Modal Optimization in Text-Based Person Re-identification**  
*Xinpan Yuan, Shaomin Xie, Guihu Zhao, Liujie Hua, Wenguang Gan, Jiawei He, Jiabao Li*  
[[paper]](https://link.springer.com/chapter/10.1007/978-981-96-9794-6_33)

- `[2025 J. Supercomput]` **Noise correspondence with evidence learning for text-based person search**  
*Yihan Xie, Baohua Zhang, Yang Li, Chongrui Shan, Shun Wang, Jiale Zhang*  
[[paper]](https://link.springer.com/article/10.1007/s11227-025-07158-1)

- `[2025 TCSVT]` **Visible-Infrared Person Re-Identification With Real-World Label Noise**  
*Ruiheng Zhang, Zhe Cao, Yan Huang, Shuo Yang, Lixin Xu, Min Xu*  
[[paper]](https://ieeexplore.ieee.org/document/10829635)

- `[2025 Arxiv]` **Dynamic Uncertainty Learning with Noisy Correspondence for Text-Based Person Search**  
*Zequn Xie, Haoming Ji, Lingwei Meng*  
[[paper]](https://arxiv.org/abs/2505.06566)

- `[2025 TIFS]` **⭐Robust Duality Learning for Unsupervised Visible-Infrared Person Re-Identification**  
*Yongxiang Li, Yuan Sun, Yang Qin, Dezhong Peng, Xi Peng, Peng Hu*  
[[paper]](https://ieeexplore.ieee.org/document/10858072)

- `[2024 ECCV]` **MMM: Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification**  
*Jiangming Shi, Xiangbo Yin, Yeyun Chen, Yachao Zhang, Zhizhong Zhang, Yuan Xie, Yanyun Qu*  
[[paper]](https://arxiv.org/pdf/2401.06825)
[[code]](https://github.com/shijiangming1/MMM)

- `[2024 PRICAI]` **False Positive Detection for Text-Based Person Retrieval**  
*Yan Cao, Jun Lu*  
[[paper]](https://link.springer.com/chapter/10.1007/978-981-96-0119-6_22)

- `[2024 Arxiv]` **AMNS: Attention-Weighted Selective Mask and Noise Label Suppression for Text-to-Image Person Retrieval**  
*Runqing Zhang, Xue Zhou*  
[[paper]](https://arxiv.org/abs/2409.06385)
[[code]](https://github.com/RunQing715/AMNS)

- `[2024 CVPR]` **⭐Noisy-Correspondence Learning for Text-to-Image Person Re-identification**  
*Qin, Yang and Chen, Yingke and Peng, Dezhong and Peng, Xi and Zhou, Joey Tianyi and Hu, Peng*  
[[paper]](https://arxiv.org/abs/2308.09911)
[[code]](https://github.com/QinYang79/RDE)

- `[2024 IJCV]` **⭐Robust Object Re-identification with Coupled Noisy Labels**  
*Mouxing Yang, Zhenyu Huang, Xi Peng*  
[[paper]](https://pengxi.me/wp-content/uploads/2024/01/Manuscript.pdf)
[[code]](https://github.com/XLearning-SCU/2024-IJCV-LCNL)

- `[2024 EAAI]` **Modality Blur and Batch Alignment Learning for Twin Noisy Labels-based Visible–infrared Person Re-identification**  
*Song Wu, Shihao Shan, Guoqiang Xiao, Michael S. Lew, Xinbo Gao*  
[[paper]](https://www.sciencedirect.com/science/article/pii/S0952197624001489)
[[code]]( https://github.com/SWU-CS-MediaLab/MBBA)

- `[2023 ICCV]` **Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification**  
*Shi, Jiangming and Zhang, Yachao and Yin, Xiangbo and Xie, Yuan and Zhang, Zhizhong and Fan, Jianping and Shi, Zhongchao and Qu, Yanyun*  
[[paper]](https://openaccess.thecvf.com/content/ICCV2023/papers/Shi_Dual_Pseudo-Labels_Interactive_Self-Training_for_Semi-Supervised_Visible-Infrared_Person_Re-Identification_ICCV_2023_paper.pdf)
[[code]](https://github.com/XiangboYin/DPIS_SSVI-ReID)

- `[2022 CVPR]` **⭐Learning With Twin Noisy Labels for Visible-Infrared Person Re-Identification**  
*Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng*  
[[paper]](https://openaccess.thecvf.com/content/CVPR2022/papers/Yang_Learning_With_Twin_Noisy_Labels_for_Visible-Infrared_Person_Re-Identification_CVPR_2022_paper.pdf)
[[code]](https://github.com/XLearning-SCU/2022-CVPR-DART)

## Video-Text Learning

- `[2026 WWW]` **Evidential Matching, Uncertainty Calibration: Towards Robust Composed Video Retrieval with Noisy Triplets**  
*Zhangtao Cheng, Bozhu Zheng, Ting Zhong, Fan Zhou*  
[[paper]](https://dl.acm.org/doi/abs/10.1145/3774904.3792641)

- `[2025 CVPR]`  **Rethinking Noisy Video-Text Retrieval via Relation-aware Alignment**  
*Huakai Lai, Guoxin Xiong, Huayu Mai, Xiang Liu, Tianzhu Zhang*  
[[paper]](https://openaccess.thecvf.com/content/CVPR2025/html/Lai_Rethinking_Noisy_Video-Text_Retrieval_via_Relation-aware_Alignment_CVPR_2025_paper.html)

- `[2024 ICLR Oral]` **⭐Multi-granularity Correspondence Learning from Long-term Noisy Videos**  
*Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng*  
[[paper]](https://lin-yijie.github.io/projects/Norton/)
[[code]](https://github.com/XLearning-SCU/2024-ICLR-Norton)
[![](https://img.shields.io/github/stars/XLearning-SCU/2024-ICLR-Norton?style=social&label=Stars)](https://github.com/XLearning-SCU/2024-ICLR-Norton)

- `[2024 Arxiv]` **A Strong Baseline for Temporal Video-Text Alignment**  
*Li, Zeqian and Chen, Qirui and Han, Tengda and Zhang, Ya and Wang, Yanfeng and Xie, Weidi*  
[[paper]](https://arxiv.org/pdf/2312.14055.pdf)

- `[2023 TMM]` **Robust Video-Text Retrieval Via Noisy Pair Calibration**  
*Zhang, Huaiwen and Yang, Yang and Qi, Fan and Qian, Shengsheng and Xu, Changsheng*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/10024790)

- `[2021 ICCV]` **Crossclr: Cross-modal Contrastive Learning for Multi-modal Video Representations**  
  *Zolfaghari, Mohammadreza and Zhu, Yi and Gehler, Peter and Brox, Thomas*  
  [[paper]](https://openaccess.thecvf.com/content/ICCV2021/papers/Zolfaghari_CrossCLR_Cross-Modal_Contrastive_Learning_for_Multi-Modal_Video_Representations_ICCV_2021_paper.pdf)

- `[2022 CVPR Oral]` **Temporal Alignment Networks for Long-term Video**  
*Han, Tengda and Xie, Weidi and Zisserman, Andrew*  
[[paper]](https://openaccess.thecvf.com/content/CVPR2022/papers/Han_Temporal_Alignment_Networks_for_Long-Term_Video_CVPR_2022_paper.pdf)
[[code]](https://www.robots.ox.ac.uk/~vgg/research/tan/)

- `[2021 EMNLP]` **Videoclip: Contrastive Pre-training for Zero-shot Video-text Understanding**
*Xu, Hu and Ghosh, Gargi and Huang, Po-Yao and Okhonko, Dmytro and Aghajanyan, Armen and Metze, Florian and Zettlemoyer, Luke and Feichtenhofer, Christoph*  
[[paper]](https://arxiv.org/pdf/2109.14084.pdf)
[[code]](https://github.com/facebookresearch/fairseq/tree/main/examples/MMPT)

## Image Captioning

- `[2025 ACL]` **Learning to Describe Implicit Changes: Noise-robust Pre-training for Image Difference Captioning**  
*Zixin Guo, Jiayang Sun, Tzu-Jui Julius Wang, Abduljalil Radman, Selen Pehlivan, Min Cao, Jorma Laaksonen*
[[paper]](https://aclanthology.org/2025.findings-emnlp.537/)

- `[2024 AAAI]` **Noise-Aware Image Captioning with Progressively Exploring Mismatched Words**  
*Zhongtian Fu, Kefei Song, Luping Zhou, Yang Yang*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/29097)
[[code]](https://github.com/njustkmg/NIC)

- `[2022 CVPR]` **Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning**  
*Wooyoung Kang, Jonghwan Mun, Sungjun Lee, Byungseok Roh*  
[[paper]](https://openaccess.thecvf.com/content/ICCV2023/papers/Kang_Noise-Aware_Learning_from_Web-Crawled_Image-Text_Data_for_Image_Captioning_ICCV_2023_paper.pdf)
[[code]](https://github.com/kakaobrain/noc)

## Image Contrastive Learning

- `[2022 CVPR]` **Robust contrastive learning against noisy views**  
*Ching-Yao Chuang, R Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song*  
[[paper]](https://openaccess.thecvf.com/content/CVPR2022/papers/Chuang_Robust_Contrastive_Learning_Against_Noisy_Views_CVPR_2022_paper.pdf)
[[code]](https://github.com/chingyaoc/RINCE)

## Graph Matching

- `[2026 TPAMI]` **⭐Learning with Partial and Noisy Correspondence in Graph Matching**  
*Yijie Lin, Mouxing Yang, Peng Hu, Jiancheng Lv, Hao Chen, Xi Peng*  
[[paper]](https://xlearning-lab.com/assets/2026-TPAMI-Learning-With-Partial-and-Noisy-Correspondence-in-Graph-Matching.pdf)
[[code]](https://github.com/XLearning-SCU/2026-TPAMI-COMMON)

- `[2025 CVIU.]` **Cross-graph meta matching correction for noisy graph matching**  
**Fangkai Li, Feiyu Pan, Wenjia Meng, Haoliang Sun, Xiushan Nie, Yilong Yin, Xiankai Lu**  
[[paper]](https://www.sciencedirect.com/science/article/pii/S1077314225001560)

- `[2024 TIP]` **⭐Cross-modal Retrieval with Noisy Correspondence via Consistency Refining and Mining**  
*Xinran Ma, Mouxing Yang, Yunfan Li, Peng Hu, Jiancheng Lv, Xi Peng*  
[[paper]](http://pengxi.me/wp-content/uploads/2024/03/Cross-modal-Retrieval-with-Noisy-Correspondence-via-Consistency-Refining-and-Mining.pdf)
[[code]](https://github.com/XLearning-SCU/2024-TIP-CREAM)

- `[2023 ICCV]` **⭐Graph Matching with Noisy Correspondence**  
*Lin, Yijie and Yang, Mouxing and Yu, Jun and Hu, Peng and Zhang, Changqing and Peng, Xi*  
[[paper]](https://arxiv.org/pdf/2212.04085.pdf)
[[code]](https://github.com/Lin-Yijie/Graph-Matching-Networks)
[![](https://img.shields.io/github/stars/Lin-Yijie/Graph-Matching-Networks?style=social&label=Stars)](https://github.com/Lin-Yijie/Graph-Matching-Networks/tree/main/COMMON)

## Visual-Audio Learning

- `[2024 PRCV]` **Robust Contrastive Learning Against Audio-Visual Noisy Correspondence**  
*Yihan Zhao, Wei Xi, Gairui Bai, Xinhui Liu, Jizhong Zhao*  
[[paper]](https://link.springer.com/chapter/10.1007/978-981-97-8620-6_36)

- `[2024 TMM]` **Noise-Tolerant Learning for Audio-Visual Action Recognition**  
*Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian and Yan Chen*  
[[paper]](https://arxiv.org/pdf/2205.07611)

## Machine Reading Comprehension

- `[2023 AAAI]` **⭐Robust domain adaptation for machine reading comprehension**  
*Jiang, Liang and Huang, Zhenyu and Liu, Jia and Wen, Zujie and Peng, Xi*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/25974)

## Dense Retrieval

- `[2023 EMNLP Findings]` **Noisy Pair Corrector for Dense Retrieval**  
*Hang Zhang, Yeyun Gong, Xingwei He, Dayiheng Liu, Daya Guo, Jiancheng Lv, Jian Guo*  
[[paper]](https://arxiv.org/pdf/2311.03798.pdf)

## Retrieval-Augmented Generation

- `[2024 Arxiv]` **MLLM is A Strong Reranker: Advancing Multimodal Retrieval-Augmented Generation Via Knowledge-enhanced Reranking and Noise-injected Training**  
*Zhanpeng Chen, Chengjin Xu, Yiyan Qi, Jian Guo*  
[[paper]](https://arxiv.org/pdf/2407.21439)
[[code]](https://github.com/IDEA-FinAI/RagVL)

## Multi-modal/view Classification

- `[2026 CVPR]` **⭐Bootstrapping Multi-view Learning for Test-time Noisy Correspondence**  
*Changhao He, Di Xue, Shuxian Li, Yanji Hao, Xi Peng, Peng Hu*  
[[paper]](https://xlearning-lab.com/assets/2026-CVPR-Bootstrapping-Multi-view-Learning-for-Test-time-Noisy-Correspondence.pdf)
[[code]](https://github.com/XLearning-SCU/2026-CVPR-BML)

## Multi-View Clustering

#### 2026

- `[2026 ICLR Oral]` **⭐Uncover Underlying Correspondence for Robust Multi-view Clustering**  
*Haochen Zhou, Guofeng Ding, Mouxing Yang, Peng Hu, Yijie Lin, Xi Peng*  
[[paper]](https://openreview.net/forum?id=a4S1nQay3b)
[[code]](https://github.com/XLearning-SCU/2026-ICLR-CorreGen)

- `[2026 AAAI]` **KNNDA: A New Perspective of Alignment Recovery for Partially View-Aligned Clustering**  
*Liang Zhao, Tianqi Yue, Shubin Ma, Ziyue Wang, Zhiyuan Liu, Bo Xu*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/40103)
[[code]](https://github.com/ICEY-Moon7/AAAI-26-KNNDA)

- `[2026 AAAI]` **Learning Whom to Align With: Progressive Anomaly Combination Detection for Partially View-Aligned Clustering**  
*Hang Gao, Zuosong Cai, Yuze Li, Cheng Liu, Gaoyang Li, Ying Li, Wei Du, You Zhou*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/39261)

- `[2026 TKDE]` **Cross-View Graph Matching for Unsupervised Learning With Unaligned Multi-View Clustering**  
*Zhibin Dong, Shengju Yu, Siwei Wang, Xinwang Liu, En Zhu*  
[[paper]](https://doi.org/10.1109/TKDE.2026.3659906)

- `[2026 TCSVT]` **Dynamic Weight-Enhanced Contrastive Learning for Partially View-Aligned Clustering**  
*Qiuyu Chen, Xihong Yang, Zhibin Dong, Qian Qu, En Zhu, Xinwang Liu*  
[[paper]](https://doi.org/10.1109/TCSVT.2026.3679096)

- `[2026 TMM]` **Multi-View Aligned Clustering Via Sample-Bundled Optimization: Anchor Graph Enhancement and Contrastive Propagation**  
*Shubin Ma, Zhikui Chen, Yuanbo Wu, Liang Zhao*  
[[paper]](https://doi.org/10.1109/TMM.2026.3665001)

- `[2026 PR]` **Unaligned Multi-view Clustering via Diversified Anchor Graph Fusion**  
*Hongyu Jiang, Hong Tao, Zhangqi Jiang, Chenping Hou*  
[[paper]](https://www.sciencedirect.com/science/article/pii/S0031320325006375)
[[code]](https://github.com/revolution6575/DAGF)

#### 2025

- `[2025 TCSVT]` **SMART: Semantic Matching Contrastive Learning for Partially View-Aligned Clustering**  
*Liang Peng, Yixuan Ye, Cheng Liu, Hangjun Che, Fei Wang, Zhiwen Yu, Si Wu, Hau-San Wong*  
[[paper]](https://arxiv.org/abs/2512.15396)
[[code]](https://github.com/THPengL/SMART)

- `[2025 ACM MM]` **Scalable One-step Unaligned Multi-view Clustering via Joint High-Order Correlation Learning**  
*Hongyu Jiang, Yuxin Huo, Sirou Sheng, Hong Tao, Chenping Hou*  
[[paper]](https://dl.acm.org/doi/10.1145/3746027.3755172)
[[code]](https://github.com/revolution6575/JHCL)

- `[2025 IJCAI]` **Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search**  
*Shubin Ma, Liang Zhao, Mingdong Lu, Yifan Guo, Bo Xu*  
[[paper]](https://www.ijcai.org/proceedings/2025/659)
[[code]](https://github.com/Autism-mm/CAPIMAC)

- `[2025 ACM MM]` **Dual-Learning based Penalized Multi-Align Clustering for Multi-View Incomplete and Disorderly Data**  
*Liang Zhao, Shubin Ma, Bo Xu, Qingchen Zhang*  
[[paper]](https://dl.acm.org/doi/10.1145/3746027.3755116)

- `[2025 Tsinghua Sci. Technol.]` **AGPVC: Partially View-aligned Clustering With Anchor Graph for Multi-view Data**  
*Tao Yang, Liang Zhao, Jingyuan Zhao, Shubin Ma, Qiongjie Xie, Yukun Yuan*  
[[paper]](https://www.sciopen.com/article/10.26599/TST.2025.9010104)

- `[2025 Tsinghua Sci. Technol.]` **Joint Promotion of HNEMD and Contrastive Learning in Multi-view Alignment Clustering**  
*Shubin Ma, Liang Zhao, Hainan Guo, Zhikui Chen, Jingyuan Zhao, Chenhui Yao*  
[[paper]](https://www.sciopen.com/article/10.26599/TST.2025.9010179)

- `[2025 arXiv]` **Generalized Deep Multi-view Clustering via Causal Learning with Partially Aligned Cross-view Correspondence**  
*Xihong Yang, Siwei Wang, Jiaqi Jin, Fangdi Wang, Tianrui Liu, Yueming Jin, Xinwang Liu, En Zhu, Kunlun He*  
[[paper]](https://arxiv.org/abs/2509.16022)

- `[2025 TPAMI]` **Probabilistically Aligned View-unaligned Clustering with Adaptive Template Selection**
*Wenhua Dong, Xiao-Jun Wu, Zhenhua Feng, Sara Atito, Muhammad Awais, Josef Kittler*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/11194914)
[[code]](https://github.com/Wenhua-Dong/PAVuC_ATS)

- `[2025 CVPR]` **Imputation-free and Alignment-free: Incomplete Multi-view Clustering Driven by Consensus Semantic Learning**  
*Yuzhuo Dai, Jiaqi Jin, Zhibin Dong, Siwei Wang, Xinwang Liu, En Zhu, Xihong Yang, Xinbiao Gan, Yu Feng*  
[[paper]](https://arxiv.org/abs/2505.11182)
[[code]](https://github.com/zoyadai/2025_CVPR_FreeCSL)

- `[2025 IJCAI]` **Robust Graph Contrastive Learning for Incomplete Multi-view Clustering**  
*Deyin Zhuang, Jian Dai, Xingfeng Li, Xi Wu, Yuan Sun, Zhenwen Ren*  
[[paper]](https://www.ijcai.org/proceedings/2025/810)
[[code]](https://github.com/DYZ163/RGCL)

- `[2025 TIP]` **Prototype Matching Learning for Incomplete Multi-view Clustering**  
*Honglin Yuan, Yuan Sun, Fei Zhou, Jing Wen, Shihua Yuan, Xiaojian You, Zhenwen Ren*  
[[paper]](https://ieeexplore.ieee.org/document/10847794)
[[code]](https://github.com/hl-yuan/PMIMC)

- `[2025 TNNLS]` **Multilevel Reliable Guidance for Unpaired Multiview Clustering**  
*Like Xin, Wanqi Yang, Lei Wang, Ming Yang*  
[[paper]](https://arxiv.org/pdf/2407.01247)

- `[2025 TCSVT]` **Anchor-guided Sample-and-feature Incremental Alignment Framework for Multi-view Clustering**  
*Qian Qu, Xinhang Wan, Jiyuan Liu, Xinwang Liu, En Zhu*  
[[paper]](https://doi.org/10.1109/TCSVT.2025.3614344)
[[code]](https://github.com/QuQian24/ASIA-MVC)

- `[2025 TCSVT]` **A Novel Approach for Effective Partially View-Aligned Clustering with Triple-Consistency**  
*Hang Gao, Cheng Liu, Zuosong Cai, Hongming Sun, Gaoyang Li, Ying Li, Wei Du*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/11005507)
[[code]](https://github.com/kongyiH/TCLPVC)

- `[2025 AAAI]` **Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion**  
*Liang Zhao, Ziyue Wang, Xiao Wang, Zhikui Chen, Bo Xu*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/34439)

- `[2025 CVPR]` **⭐ROLL: Robust Noisy Pseudo-label Learning for Multi-View Clustering with Noisy Correspondence**  
*Yuan Sun, Yongxiang Li, Zhenwen Ren, Guiduo Duan, Dezhong Peng, Peng Hu*  
[[paper]](https://sunyuan-cs.github.io/)
[[code]](https://sunyuan-cs.github.io/)

- `[2025 ESWA]` **Partially View-aligned Clustering via Data Recoupling and Elastic Bi-consistency Learning**  
*Wenzhe Liu, Jiongcheng Zhu, Jingbo Tan, Huibing Wang, Yong Zhang*  
[[paper]](https://www.sciencedirect.com/science/article/pii/S0957417425033561)

- `[2025 IEEE SPL]` **Pseudo-Label Guided Incomplete Partial View-aligned Clustering**  
*Shubin Ma, Liang Zhao, Songtao Wu, Bo Xu*  
[[paper]](https://doi.org/10.1109/LSP.2025.3596220)

- `[2025 Inf. Sci.]` **Cross-View Alignment and Completion for Incomplete Information Multi-View Clustering**  
*Xinyue Liu, Sai Ma, Guosheng Chen, Jiayu Liu, Linlin Zong*  
[[paper]](https://www.sciencedirect.com/science/article/pii/S0020025525006474)

- `[2025 TKDD]` **Margin-aware Noise-robust Contrastive Learning for Partially View-aligned Problem**  
*Yalan Qin, Nan Pu, Hanzhou Wu, Nicu Sebe*  
[[paper]](https://dl.acm.org/doi/full/10.1145/3707646)

#### 2024

- `[2024 ACMMM]` **⭐Robust Variational Contrastive Learning for Partially View-unaligned Clustering**  
*Changhao He, Hongyuan Zhu, Peng Hu\*, Xi Peng*  
[[paper]](https://github.com/He-Changhao/2024-MM-VITAL/blob/main/figs/VITAL.pdf)
[[code]](https://github.com/He-Changhao/2024-MM-VITAL)

- `[2024 NeurIPS]` **⭐Robust Contrastive Multi-view Clustering against Dual Noisy Correspondence**  
*Ruiming Guo#, Mouxing Yang#, Yijie Lin, Xi Peng, Peng Hu\**  
[[paper]](https://openreview.net/pdf?id=6OvTbDClUn)
[[code]](https://github.com/XLearning-SCU/2024-NeurIPS-CANDY)

- `[2024 TPAMI]` **⭐Semantic invariant multi-view clustering with fully incomplete information**  
*Pengxin Zeng, Mouxing Yang, Yiding Lu, Changqing Zhang, Peng Hu, Xi Peng\**  
[[paper]](https://arxiv.org/pdf/2305.12743)
[[code]](https://github.com/XLearning-SCU/2023-TPAMI-SMILE)

- `[2024 TKDE]` **⭐Robust Multi-View Clustering with Noisy Correspondence**  
*Yuan Sun, Yang Qin, Yongxiang Li, Dezhong Peng, Xi Peng, Peng Hu*  
[[paper]](https://ieeexplore.ieee.org/document/10595464)
[[code]](https://github.com/sunyuan-cs/2024-TKDE-RMCNC)
 
- `[2024 AAAI]` **⭐Decoupled Contrastive Multi-view Clustering with High-order Random Walks**  
*Yiding Lu, Yijie Lin, Mouxing Yang, Dezhong Peng, Peng Hu, Xi Peng*  
[[paper]](http://pengxi.me/wp-content/uploads/2024/02/Decoupled_Contrastive_Multi_View_Clustering_with_High_Order_Random_Walks.pdf)
[[code]](https://github.com/XLearning-SCU/2024-AAAI-DIVIDE)

- `[2024 ACM MM]` **Robust prototype completion for incomplete multi-view clustering**  
*Honglin Yuan, Shiyun Lai, Xingfeng Li, Jian Dai, Yuan Sun, Zhenwen Ren*  
[[paper]](https://openreview.net/pdf?id=4BrIZo3Ave)
[[code]](https://github.com/hl-yuan/RPCIC)

- `[2024 ACMMM]` **Contrastive Graph Distribution Alignment for Partially View-Aligned Clustering**  
*Xibiao Wang, Hang Gao, Xindian Wei, Liang Peng, Rui Li, Cheng Liu, Si Wu, Hau-San Wong*  
[[paper]](https://openreview.net/pdf?id=QoBHdPW1pM)

- `[2024 IJCAI]` **Fast Unpaired Multi-view Clustering**  
*Xingfeng Li, Yuangang Pan, Yinghui Sun, Quansen Sun, Ivor Tsang, Zhenwen Ren*  
[[paper]](https://www.ijcai.org/proceedings/2024/0496.pdf)

- `[2024 TCSVT]` **Partially View-Aligned Representation Learning via Cross-View Graph Contrastive Network**  
*Yiming Wang, Dongxia Chang, Zhiqiang Fu, Jie Wen, Yao Zhao*  
[[paper]](https://ieeexplore.ieee.org/document/10471595)
[[code]](https://github.com/wangemm/CGCN-TCSVT-2024)

- `[2024 ICBDA]` **Pseudo-Label Guided Partially View-Aligned Clustering**  
*Songtao Wu, Ruixin Ma, Qiongjie Xie, Liang Zhao*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/10607306)

- `[2024 TNNLS]` **Dynamic Graph Guided Progressive Partial View-Aligned Clustering**  
*Liang Zhao, Qiongjie Xie, Zhengtao Li, Songtao Wu, Yi Yang*  
[[paper]](https://ieeexplore.ieee.org/document/10606529)

- `[2024 Neural Networks]` **Partially multi-view clustering via re-alignment**  
*Wenbiao Yan, Jihua Zhu, Jinqian Chen, Haozhe Cheng, Shunshun Bai, Liang Duan, Qinghai Zheng*  
[[paper]](https://www.sciencedirect.com/science/article/pii/S089360802400813X)

- `[2024 TNNLS]` **Iterative multiview subspace learning for unpaired multiview clustering**  
*Wanqi Yang, Like Xin, Lei Wang, Ming Yang, Wenzhu Yan, Yang Gao*  
[[paper]](https://ieeexplore.ieee.org/document/10149819)

#### 2023

- `[2023 TNNLS]` **Selective contrastive learning for unpaired multi-view clustering**  
*Like Xin , Wanqi Yang, Lei Wang, Ming Yang*  
[[paper]](https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=10327758)

#### 2022

- `[2022 TPAMI]` **⭐Robust Multi-View Clustering With Incomplete Information**  
*Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, Xi Peng*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/9723577)
[[code]](https://github.com/XLearning-SCU/2022-TPAMI-SURE)

#### 2021

- `[2021 CVPR]` **⭐Partially View-aligned Representation Learning with Noise-robust Contrastive Loss**   
*Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng*  
[[paper]](https://openaccess.thecvf.com/content/CVPR2021/papers/Yang_Partially_View-Aligned_Representation_Learning_With_Noise-Robust_Contrastive_Loss_CVPR_2021_paper.pdf)
[[code]](https://github.com/XLearning-SCU/2021-CVPR-MvCLN)

- `[2021 KDD]` **A novel multi-view clustering method for unknown mapping relationships between cross-view samples**  
*Hong Yu, Jia Tang, Guoyin Wang, Xinbo Gao*  
[[paper]](https://dl.acm.org/doi/10.1145/3447548.3467294)
[[code]](https://github.com/yuhongcqupt/MVC-UM)

#### 2020

- `[2020 NeurIPS Oral]` **⭐Partially View-aligned Clustering**  
*Zhenyu Huang, Peng Hu, Joey Tianyi Zhou, Jiancheng Lv, and Xi Peng*  
[[paper]](https://proceedings.neurips.cc/paper/2020/file/1e591403ff232de0f0f139ac51d99295-Paper.pdf)
[[code]](https://github.com/XLearning-SCU/2020-NIPS-PVC)

## Composed Image/Video Retrieval

- `[2026 CVPR]` **Air-Know: Arbiter-Calibrated Knowledge-Internalizing Robust Network for Composed Image Retrieval**  
*Zhiheng Fu, Yupeng Hu, Qianyun Yang, Shiqi Zhang, Zhiwei Chen, Zixu Li*  
[[paper]](https://arxiv.org/abs/2604.19386)
[[code]](https://github.com/iLearn-Lab/CVPR26-Air-Know)

- `[2026 CVPR]` **ConeSep: Cone-based Robust Noise-Unlearning Compositional Network for Composed Image Retrieval**  
*Zixu Li, Yupeng Hu, Zhiwei Chen, Mingyu Zhang, Zhiheng Fu, Liqiang Nie*  
[[paper]](https://arxiv.org/abs/2604.20358)
[[code]](https://github.com/iLearn-Lab/CVPR26-ConeSep)

- `[2026 AAAI]` **INTENT: Invariance and Discrimination-aware Noise Mitigation for Robust Composed Image Retrieval**  
*Zhiwei Chen, Yupeng Hu, Zhiheng Fu, Zixu Li, Jiale Huang, Qinlei Huang, Yinwei Wei*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/39181)
[[code]](https://github.com/iLearn-Lab/AAAI26-INTENT)

- `[2026 AAAI]` **HABIT: Chrono-Synergia Robust Progressive Learning Framework for Composed Image Retrieval**  
*Zixu Li, Yupeng Hu, Zhiwei Chen, Shiqi Zhang, Qinlei Huang, Zhiheng Fu, Yinwei Wei*  
[[paper]](https://ojs.aaai.org/index.php/AAAI/article/view/37608)
[[code]](https://github.com/iLearn-Lab/AAAI26-HABIT)

- `[2025 ICCV]` **Multi-Schema Proximity Network for Composed Image Retrieval**  
*Jiangming Shi, Xiangbo Yin, Yeyun Chen, Yachao Zhang, Zhizhong Zhang, Yuan Xie, Yanyun Qu*  
[[paper]](https://openaccess.thecvf.com/content/ICCV2025/papers/Shi_Multi-Schema_Proximity_Network_for_Composed_Image_Retrieval_ICCV_2025_paper.pdf)

- `[2025 CVPR]` **⭐Learning with Noisy Triplet Correspondence for Composed Image Retrieval**  
*Shuxian Li#, Changhao He#, XitingLiu, Joey Tianyi Zhou, Xi Peng, Peng Hu\**  
[[paper]](https://he-changhao.github.io/)
[[code]](https://he-changhao.github.io/)

## Text-to-SQL

- `[2025 ICLR]` **⭐ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL**  
*Yang Qin, Chao Chen, Zhihang Fu, Ze Chen, Dezhong Peng\*, Peng Hu\*, Jieping Ye*  
[[paper]](https://openreview.net/pdf?id=BAglD6NGy0)
[[code]](https://github.com/alibaba/Route)

## Legal Case Retrieval

- `[2025 Information Sciences]` **Uncertainty-aware evidential learning for legal case retrieval with noisy correspondence**  
*Weicong Qin, Weijie Yu, Kepu Zhang, Haiyuan Zhao, Jun Xu, Ji-Rong Wen*  
[[paper]](https://www.sciencedirect.com/science/article/pii/S0020025525000477)

## 3D-Text Matching
- `[2025 TMM]` **⭐PointCloud-Text Matching: Benchmark Dataset and Baseline**  
*Yanglin Feng, Yang Qin, Dezhong Peng, Hongyuan Zhu, Xi Peng, Peng Hu*  
[[paper]](https://ieeexplore.ieee.org/abstract/document/11086386)
[[code]](https://github.com/Yangl1nFeng/RoMa)

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