[arxiv’25] Toward Robust and Harmonious Adaptation for Cross-modal Retrieval
Haobin Li, Mouxing Yang, Xi Peng

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• Extend query shift and tackle more challenging diverse shift scenarios.
• Establish more benchmarks across image-text, video–audio and composed image retrieval.

[ICLR’26] Learning with Dual-level Noisy Correspondence for Multi-modal Entity Alignment
Haobin Li, Yijie Lin, Peng Hu, Mouxing Yang, Xi Peng

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• First reveal and study noisy and underlying correspondence in multi-modal knowledge graph.
• Pioneering exploration of test-time robustness.

[TPAMI’26] Community-aware Multi-view Representation Learning with Incomplete Information
Haobin Li, Yijie Lin, Peng Hu, Mouxing Yang, Xi Peng

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• Leveraging sociological concepts to address missing modalities and correspondences.

[ICLR’25 Spotlight] Test-time Adaptation for Cross-modal Retrieval with Query Shift
Haobin Li, Peng Hu, Qianjun Zhang, Xi Peng, Xiting Liu, Mouxing Yang

Code 中文简介 |

• First study the query shift problem in cross-modal retrieval.
• Reveal the underlying impacts of query shift on cross-modal retrieval

[IJCAI’23] Incomplete Multi-view Clustering via Prototype-based Imputation
Haobin Li, Yunfan Li, Mouxing Yang, Peng Hu, Dezhong Peng, Xi Peng

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• Leveraging sample-prototype relationship to impute missing modality.

[Vicinagearth’24] A survey on deep clustering: from the prior perspective
Yiding Lu^*, Haobin Li^*, Yunfan Li, Yijie Lin, Xi Peng

中文简介 |

• A survey of deep clustering from a prior perspective.