Xin Zou

45 papers A* 10A 1Misc 2Journal 29Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Beyond the Grid: Layout-Informed Multi-Vector Retrieval with Parsed Visual Document Representations.
CoRR
Yibo Yan, Mingdong Ou, Yi Cao, Xin Zou, Shuliang Liu, Jiahao Huo, Yue Huang, James T. Kwok, Xuming Hu
2026 J jnl
Curriculum trustworthy multi-modal learning.
Expert Syst. Appl.
Jian Zhu, Xin Zou, Jun Sun, Bian Wu, Lingfang Zeng, Linqing Feng, Lei Liu, Chang Tang
2026 J jnl
Generative Diffusion Contrastive Network for Multi-View Clustering.
IEEE Signal Process. Lett.
Jian Zhu, Xin Zou, Xi Wang, Lei Liu, Chang Tang, Li-Rong Dai
2026 A* conf
PLA-MGRA: Multi-Granularity and Relation-Aware Learning for Efficient and Generalizable Protein-Ligand Binding Affinity Prediction.
AAAI
Shunfan Li, Jiangkai Long, Xin Zou, Chang Tang, Yuanyuan Liu, Xiao He, Xuesong Yan
2026 J jnl
Sculpting the Vector Space: Towards Efficient Multi-Vector Visual Document Retrieval via Prune-then-Merge Framework.
CoRR
Yibo Yan, Mingdong Ou, Yi Cao, Xin Zou, Jiahao Huo, Shuliang Liu, James Kwok, Xuming Hu
2026 A* conf
Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning.
AAAI
Jialong Qin, Xin Zou, Di Lu, Yibo Yan, Xuming Hu
2026 J jnl
Temporal Gains, Spatial Costs: Revisiting Video Fine-Tuning in Multimodal Large Language Models.
CoRR
Linghao Zhang, Jungang Li, Yonghua Hei, Sicheng Tao, Song Dai, Yibo Yan, Zihao Dongfang, Weiting Liu, Chenxi Qin, Hanqian Li, Xin Zou, Jiahao Zhang, Shuhang Xun, Haiyun Jiang, Xuming Hu
2026 J jnl
Unlocking Multimodal Document Intelligence: From Current Triumphs to Future Frontiers of Visual Document Retrieval.
CoRR
Yibo Yan, Jiahao Huo, Guanbo Feng, Mingdong Ou, Yi Cao, Xin Zou, Shuliang Liu, Yuanhuiyi Lyu, Yue Huang, Jungang Li, Kening Zheng, Xu Zheng, Philip S. Yu, James Kwok, Xuming Hu
2026 J jnl
Vision-Language Introspection: Mitigating Overconfident Hallucinations in MLLMs via Interpretable Bi-Causal Steering.
CoRR
Shuliang Liu, Songbo Yang, Dong Fang, Sihang Jia, Yuqi Tang, Lingfeng Su, Ruoshui Peng, Yibo Yan, Xin Zou, Xuming Hu
2025 J jnl
Are We Using the Right Benchmark: An Evaluation Framework for Visual Token Compression Methods.
CoRR
Chenfei Liao, Wensong Wang, Zichen Wen, Xu Zheng, Yiyu Wang, Haocong He, Yuanhuiyi Lyu, Lutao Jiang, Xin Zou, Yuqian Fu, Bin Ren, Linfeng Zhang, Xuming Hu
2025 J jnl
BMCST: Balanced multi-view clustering for spatially resolved transcriptomics with Mamba-driven dynamic feature refinement.
Inf. Fusion
Yanran Zhu, Xiao Zheng, Xiao He, Xin Zou, Peihong Wang, Chang Tang, Xinwang Liu, Kunlun He
2025 J jnl
Cancer-drug response prediction via feature aggregation and association graph learning.
Eng. Appl. Artif. Intell.
Kaiyi Xu, Minhui Wang, Xin Zou, Chengfu Ji, Hua Zhou, Chang Tang
2025 — conf
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models.
ACL (Findings)
Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu
2025 J jnl
Capturing Nuanced Preferences: Preference-Aligned Distillation for Small Language Models.
CoRR
Yanggan Gu, Junzhuo Li, Sirui Huang, Xin Zou, Zhenghua Li, Xuming Hu
2025 J jnl
DocPruner: A Storage-Efficient Framework for Multi-Vector Visual Document Retrieval via Adaptive Patch-Level Embedding Pruning.
CoRR
Yibo Yan, Guangwei Xu, Xin Zou, Shuliang Liu, James Kwok, Xuming Hu
2025 J jnl
Don't Just Chase "Highlighted Tokens" in MLLMs: Revisiting Visual Holistic Context Retention.
CoRR
Xin Zou, Di Lu, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Xu Zheng, Linfeng Zhang, Xuming Hu
2025 J jnl
Dual alignment feature embedding network for multi-omics data clustering.
Knowl. Based Syst.
Yuang Xiao, Dong Yang, Jiaxin Li, Xin Zou, Hua Zhou, Chang Tang
2025 Misc conf
Dynamic SRM Curriculum for Trustworthy Multi-modal Classification.
ICASSP
Jian Zhu, Cui Yu, Xin Zou, Zhangmin Huang, Chenshu Hu, Jun Sun, Bo Lyu, Lei Liu, Chang Tang, Li-Rong Dai
2025 A* conf
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.
EMNLP
Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Jungang Li, Jingyu Wang, Peijie Jiang, Aiwei Liu, Jia Liu, Xuming Hu
2025 A* conf
From Guesswork to Guarantee: Towards Faithful Multimedia Web Forecasting with TimeSieve.
ACM Multimedia
Songning Lai, Ninghui Feng, Jiechao Gao, Hao Wang, Haochen Sui, Xin Zou, Jiayu Yang, Wenshuo Chen, Lijie Hu, Hang Zhao, Xuming Hu, Yutao Yue
2025 J jnl
GM-PRM: A Generative Multimodal Process Reward Model for Multimodal Mathematical Reasoning.
CoRR
Jianghangfan Zhang, Yibo Yan, Kening Zheng, Xin Zou, Song Dai, Xuming Hu
2025 J jnl
Generative Diffusion Contrastive Network for Multi-View Clustering.
CoRR
Jian Zhu, Xin Zou, Xi Wang, Ning Zhang, Bian Wu, Yao Yang, Ying Zhou, Lingfang Zeng, Chang Tang, Cheng Luo
2025 J jnl
HSTrans: Homogeneous substructures transformer for predicting frequencies of drug-side effects.
Neural Networks
Kaiyi Xu, Minhui Wang, Xin Zou, Jingjing Liu, Ao Wei, Jiajia Chen, Chang Tang
2025 A* conf
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models.
ICML
Xin Zou, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Kening Zheng, Sirui Huang, Junkai Chen, Peijie Jiang, Jia Liu, Chang Tang, Xuming Hu
2025 — conf
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models.
ACL (Findings)
Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, Xuming Hu
2025 J jnl
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models.
CoRR
Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, Xuming Hu
2025 A* conf
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.
ICLR
Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu
2025 J jnl
MoEGCL: Mixture of Ego-Graphs Contrastive Representation Learning for Multi-View Clustering.
CoRR
Jian Zhu, Xin Zou, Jun Sun, Cheng Luo, Lei Liu, Lingfang Zeng, Ning Zhang, Bian Wu, Chang Tang, Li-Rong Dai
2025 A* conf
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis.
EMNLP
Haoming Huang, Yibo Yan, Jiahao Huo, Xin Zou, Xinfeng Li, Kun Wang, Xuming Hu
2025 J jnl
Pierce the Mists, Greet the Sky: Decipher Knowledge Overshadowing via Knowledge Circuit Analysis.
CoRR
Haoming Huang, Yibo Yan, Jiahao Huo, Xin Zou, Xinfeng Li, Kun Wang, Xuming Hu
2025 A* conf
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning.
ICML
Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu
2025 J jnl
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning.
CoRR
Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu
2025 — conf
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.
ACL (Findings)
Kening Zheng, Junkai Chen, Yibo Yan, Xin Zou, Huiyu Zhou, Xuming Hu
2025 J jnl
Sharp Eyes and Memory for VideoLLMs: Information-Aware Visual Token Pruning for Efficient and Reliable VideoLLM Reasoning.
CoRR
Jialong Qin, Xin Zou, Di Lu, Yibo Yan, Xuming Hu
2025 Misc conf
Trusted Mamba Contrastive Network for Multi-View Clustering.
ICASSP
Jian Zhu, Xin Zou, Lei Liu, Zhangmin Huang, Ying Zhang, Chang Tang, Li-Rong Dai
2024 J jnl
DAI-Net: Dual Adaptive Interaction Network for Coordinated Medication Recommendation.
IEEE J. Biomed. Health Informatics
Xin Zou, Xiao He, Xiao Zheng, Wei Zhang, Jiajia Chen, Chang Tang
2024 J jnl
Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.
CoRR
Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Aiwei Liu, Xuming Hu
2024 J jnl
Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models.
CoRR
Xin Zou, Yizhou Wang, Yibo Yan, Sirui Huang, Kening Zheng, Junkai Chen, Chang Tang, Xuming Hu
2024 J jnl
Mitigating Modality Prior-Induced Hallucinations in Multimodal Large Language Models via Deciphering Attention Causality.
CoRR
Guanyu Zhou, Yibo Yan, Xin Zou, Kun Wang, Aiwei Liu, Xuming Hu
2024 J jnl
Reefknot: A Comprehensive Benchmark for Relation Hallucination Evaluation, Analysis and Mitigation in Multimodal Large Language Models.
CoRR
Kening Zheng, Junkai Chen, Yibo Yan, Xin Zou, Xuming Hu
2024 J jnl
Trusted Mamba Contrastive Network for Multi-View Clustering.
CoRR
Jian Zhu, Xin Zou, Lei Liu, Zhangmin Huang, Ying Zhang, Chang Tang, Li-Rong Dai
2023 A* conf
DPNET: Dynamic Poly-attention Network for Trustworthy Multi-modal Classification.
ACM Multimedia
Xin Zou, Chang Tang, Xiao Zheng, Zhenglai Li, Xiao He, Shan An, Xinwang Liu
2023 A conf
Hierarchical Attention Learning for Multimodal Classification.
ICME
Xin Zou, Chang Tang, Wei Zhang, Kun Sun, Liangxiao Jiang
2023 J jnl
Inclusivity induced adaptive graph learning for multi-view clustering.
Knowl. Based Syst.
Xin Zou, Chang Tang, Xiao Zheng, Kun Sun, Wei Zhang, Deqiong Ding
2023 A* conf
Multispectral Object Detection via Cross-Modal Conflict-Aware Learning.
ACM Multimedia
Xiao He, Chang Tang, Xin Zou, Wei Zhang