Deep Multi-view Subspace Clustering with Anchor Graph. - Chenhang Cui; Yazhou Ren 001; Jingyu Pu; Xiaorong Pu; Lifang He 001 (IJCAI, 2023)

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective. - Chenhang Cui; Yazhou Ren 001; Jingyu Pu; Jiawei Li; Xiaorong Pu; Tianyi Wu; Yutao Shi; Lifang He 001 (NeurIPS, 2023)

Bright Channel Prior Attention for Multispectral Pedestrian Detection. - Chenhang Cui; Jinyu Xie; Yechenhao Yang (CoRR, 2023)

Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges. - Chenhang Cui; Yiyang Zhou; Xinyu Yang 002; Shirley Wu; Linjun Zhang; James Zou 001; Huaxiu Yao (CoRR, 2023)

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs. - Haoqin Tu; Chenhang Cui; Zijun Wang; Yiyang Zhou; Bingchen Zhao; Junlin Han; Wangchunshu Zhou; Huaxiu Yao; Cihang Xie (CoRR, 2023)

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering. - Jingyu Pu; Chenhang Cui; Xinyue Chen; Yazhou Ren 001; Xiaorong Pu; Zhifeng Hao; Philip S. Yu; Lifang He 001 (AAAI, 2024)

How Many Are in This Image A Safety Evaluation Benchmark for Vision LLMs. - Haoqin Tu; Chenhang Cui; Zijun Wang; Yiyang Zhou; Bingchen Zhao; Junlin Han; Wangchunshu Zhou; Huaxiu Yao; Cihang Xie (ECCV (51), 2024)

Analyzing and Mitigating Object Hallucination in Large Vision-Language Models. - Yiyang Zhou; Chenhang Cui; Jaehong Yoon; Linjun Zhang; Zhun Deng; Chelsea Finn; Mohit Bansal; Huaxiu Yao (ICLR, 2024)

Dynamic Weighted Graph Fusion for Deep Multi-View Clustering. - Yazhou Ren 001; Jingyu Pu; Chenhang Cui; Yan Zheng; Xinyue Chen; Xiaorong Pu; Lifang He 001 (IJCAI, 2024)

Integrating Vision-Language Semantic Graphs in Multi-View Clustering. - JunLong Ke; Zichen Wen; Yechenhao Yang; Chenhang Cui; Yazhou Ren 001; Xiaorong Pu; Lifang He 001 (IJCAI, 2024)

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering. - Zichen Wen; Tianyi Wu; Yazhou Ren 001; Yawen Ling; Chenhang Cui; Xiaorong Pu; Lifang He 001 (ACM Multimedia, 2024)

Calibrated Self-Rewarding Vision Language Models. - Yiyang Zhou; Zhiyuan Fan; Dongjie Cheng; Sihan Yang; Zhaorun Chen; Chenhang Cui; Xiyao Wang; Yun Li; Linjun Zhang; Huaxiu Yao (NeurIPS, 2024)

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning. - Yiyang Zhou; Chenhang Cui; Rafael Rafailov; Chelsea Finn; Huaxiu Yao (CoRR, 2024)

MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? - Zhaorun Chen; Yichao Du; Zichen Wen; Yiyang Zhou; Chenhang Cui; Zhenzhen Weng; Haoqin Tu; Chaoqi Wang; Zhengwei Tong; Qinglan Huang; Canyu Chen; Qinghao Ye; et al. (CoRR, 2024)

Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models. - Chenhang Cui; Gelei Deng; An Zhang 003; Jingnan Zheng; Yicong Li 004; Lianli Gao; Tianwei Zhang 004; Tat-Seng Chua (CoRR, 2024)

Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment. - Chenhang Cui; An Zhang 003; Yiyang Zhou; Zhaorun Chen; Gelei Deng; Huaxiu Yao; Tat-Seng Chua (ICLR, 2025)

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models. - Peng Xia 005; Siwei Han; Shi Qiu; Yiyang Zhou; Zhaoyang Wang 004; Wenhao Zheng; Zhaorun Chen; Chenhang Cui; Mingyu Ding; Linjie Li; Lijuan Wang; Huaxiu Yao (ICLR, 2025)

RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards. - Jingnan Zheng; Xiangtian Ji; Yijun Lu; Chenhang Cui; Weixiang Zhao; Gelei Deng; Zhenkai Liang; An Zhang 003; Tat-Seng Chua (CoRR, 2025)

IKOD: Mitigating Visual Attention Degradation in Large Vision-Language Models. - Jiabing Yang; Chenhang Cui; Yiyang Zhou; Yixiang Chen; Peng Xia; Ying Wei; Tao Yu; Yan Huang; Liang Wang (CoRR, 2025)

DTPA: Dynamic Token-level Prefix Augmentation for Controllable Text Generation. - Jiabing Yang; Yixiang Chen; Zichen Wen; Chenhang Cui; Peiyan Li; Yuan Xu; Bowen Fang; Yan Huang; Liang Wang (CoRR, 2025)

VFlowOpt: A Token Pruning Framework for LMMs with Visual Information Flow-Guided Optimization. - Sihan Yang; Runsen Xu; Chenhang Cui; Tai Wang; Dahua Lin; Jiangmiao Pang (CoRR, 2025)