Xin Zou

Orcid: 0000-0003-4771-3836

Affiliations:

China University of Geosciences, Wuhan, China

According to our database¹, Xin Zou authored at least 46 papers between 2023 and 2026.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book In proceedings Article PhD thesis Dataset Other

Bibliography

2026

Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization.

[BibT_eX]

[DOI]

CoRR, May, 2026

Learning Disentangled Representations for Generalized Multi-view Clustering.

[BibT_eX]

[DOI]

CoRR, May, 2026

When Looking Is Not Enough: Visual Attention Structure Reveals Hallucination in MLLMs.

[BibT_eX]

[DOI]

CoRR, May, 2026

Decoding by Perturbation: Mitigating MLLM Hallucinations via Dynamic Textual Perturbation.

[BibT_eX]

[DOI]

CoRR, April, 2026

Visual Late Chunking: An Empirical Study of Contextual Chunking for Efficient Visual Document Retrieval.

[BibT_eX]

[DOI]

CoRR, April, 2026

Unveiling Language Routing Isolation in Multilingual MoE Models for Interpretable Subnetwork Adaptation.

[BibT_eX]

[DOI]

CoRR, April, 2026

Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, March, 2026

Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations.

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[DOI]

CoRR, March, 2026

Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval.

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[DOI]

CoRR, February, 2026

Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework.

[BibT_eX]

[DOI]

CoRR, February, 2026

Generative Diffusion Contrastive Network for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2026

Curriculum trustworthy multi-modal learning.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2026

Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods.

[BibT_eX]

[DOI]

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction.

[BibT_eX]

[DOI]

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering.

[BibT_eX]

[DOI]

CoRR, November, 2025

Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention.

[BibT_eX]

[DOI]

CoRR, October, 2025

DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning.

[BibT_eX]

[DOI]

CoRR, September, 2025

Generative Diffusion Contrastive Network for Multi-View Clustering.

[BibT_eX]

[DOI]

CoRR, September, 2025

GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning.

[BibT_eX]

[DOI]

CoRR, August, 2025

HSTrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects.

[BibT_eX]

[DOI]

Neural Networks, 2025

Dual alignment feature embedding network for multi-omics data clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

Cancer-drug response prediction via feature aggregation and association graph learning.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2025

SparseMVC: Probing Cross-view Sparsity Variations for Multi-view Clustering.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

From Guesswork to Guarantee: Towards Faithful Multimedia Web Forecasting with TimeSieve.

[BibT_eX]

[DOI]

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.

[BibT_eX]

[DOI]

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Dynamic SRM Curriculum for Trustworthy Multi-modal Classification.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Trusted Mamba Contrastive Network for Multi-View Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

[BibT_eX]

[DOI]

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

DAI-Net: Dual Adaptive Interaction Network for Coordinated Medication Recommendation.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, October, 2024

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

[BibT_eX]

[DOI]

CoRR, 2024

Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.

[BibT_eX]

[DOI]

CoRR, 2024

Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

2023

Inclusivity induced adaptive graph learning for multi-view clustering.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification.

[BibT_eX]

[DOI]

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

Multispectral Object Detection via Cross-Modal Conflict-Aware Learning.

[BibT_eX]

[DOI]

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

Hierarchical Attention Learning for Multimodal Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Xin Zou

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