Zou, Xin

11 publications

ICML 2025 An Online Statistical Framework for Out-of-Distribution Detection Xinsong Ma, Xin Zou, Weiwei Liu

NeurIPS 2025 Don't Just Chase “Highlighted Tokens” in MLLMs: Revisiting Visual Holistic Context Retention Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu

ICML 2025 Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models Xin Zou, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Kening Zheng, Sirui Huang, Junkai Chen, Peijie Jiang, Jia Liu, Chang Tang, Xuming Hu

ICLR 2025 Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu

ICML 2025 RealRAG: Retrieval-Augmented Realistic Image Generation via Self-Reflective Contrastive Learning Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu

NeurIPS 2025 SparseMVC: Probing Cross-View Sparsity Variations for Multi-View Clustering Ruimeng Liu, Xin Zou, Chang Tang, Xiao Zheng, Xingchen Hu, Kun Sun, Xinwang Liu

NeurIPS 2024 A Boosting-Type Convergence Result for AdaBoost.MH with Factorized Multi-Class Classifiers Xin Zou, Zhengyu Zhou, Jingyuan Xu, Weiwei Liu

ICML 2024 A Provable Decision Rule for Out-of-Distribution Detection Xinsong Ma, Xin Zou, Weiwei Liu

AAAI 2024 Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data Xin Zou, Weiwei Liu

JMLR 2023 Generalization Bounds for Adversarial Contrastive Learning Xin Zou, Weiwei Liu

NeurIPS 2023 On the Adversarial Robustness of Out-of-Distribution Generalization Models Xin Zou, Weiwei Liu