Chenhang Cui

According to our database, Chenhang Cui authored at least 29 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Do LLMs and VLMs Share Neurons for Inference? Evidence and Mechanisms of Cross-Modal Transfer.

Chenhang Cui, An Zhang, Yuxin Chen, Gelei Deng, Jingnan Zheng, Zhenkai Liang, Xiang Wang, Tat-Seng Chua

CoRR, February, 2026

Reliable and Responsible Foundation Models: A Comprehensive Survey.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

CoRR, February, 2026

Transport and Merge: Cross-Architecture Merging for Large Language Models.

Chenhang Cui, Binyun Yang, Fei Shen, Yuxin Chen, Jingnan Zheng, Xiang Wang, An Zhang, Tat-Seng Chua

CoRR, February, 2026

Risky-Bench: Probing Agentic Safety Risks under Real-World Deployment.

Jingnan Zheng, Yanzhen Luo, Jingjun Xu, Bingnan Liu, Yuxin Chen, Chenhang Cui, Gelei Deng, Chaochao Lu, Xiang Wang, An Zhang, Tat-Seng Chua

CoRR, February, 2026

Self-Guard: Defending Large Reasoning Models via enhanced self-reflection.

Jingnan Zheng, Jingjun Xu, Yanzhen Luo, Chenhang Cui, Gelei Deng, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua

CoRR, February, 2026

Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models.

Enyi Shi, Pengyang Shao, Yanxin Zhang, Chenhang Cui, Jiayi Lyu, Xu Xie, Xiaobo Xia, Fei Shen, Tat-Seng Chua

CoRR, January, 2026

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, August, 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, August, 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, Tat-Seng Chua

CoRR, June, 2025

Reliable and Responsible Foundation Models.

Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

Trans. Mach. Learn. Res., 2025

MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models.

Peng Xia, Siwei Han, Shi Qiu, Yiyang Zhou, Zhaoyang Wang, Wenhao Zheng, Zhaorun Chen, Chenhang Cui, Mingyu Ding, Linjie Li, Lijuan Wang, Huaxiu Yao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment.

Chenhang Cui, An Zhang, Yiyang Zhou, Zhaorun Chen, Gelei Deng, Huaxiu Yao, Tat-Seng Chua

Proceedings of the Thirteenth International Conference on Learning Representations, 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

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Improving Alignment in LVLMs with Debiased Self-Judgment.

Sihan Yang, Chenhang Cui, Zihao Zhao, Yiyang Zhou, Weilong Yan, Ying Wei, Huaxiu Yao

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

2024

Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models.

Chenhang Cui, Gelei Deng, An Zhang, Jingnan Zheng, Yicong Li, Lianli Gao, Tianwei Zhang, Tat-Seng Chua

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, Zhihong Zhu, Yuqing Zhang, Jiawei Zhou, Zhuokai Zhao, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

CoRR, 2024

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning.

Yiyang Zhou, Chenhang Cui, Rafael Rafailov, Chelsea Finn, Huaxiu Yao

CoRR, 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

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering.

Zichen Wen, Tianyi Wu, Yazhou Ren, Yawen Ling, Chenhang Cui, Xiaorong Pu, Lifang He

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Integrating Vision-Language Semantic Graphs in Multi-View Clustering.

Junlong Ke, Zichen Wen, Yechenhao Yang, Chenhang Cui, Yazhou Ren, Xiaorong Pu, Lifang He

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Dynamic Weighted Graph Fusion for Deep Multi-View Clustering.

Yazhou Ren, Jingyu Pu, Chenhang Cui, Yan Zheng, Xinyue Chen, Xiaorong Pu, Lifang He

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the Computer Vision - ECCV 2024, 2024

Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering.

Jingyu Pu, Chenhang Cui, Xinyue Chen, Yazhou Ren, Xiaorong Pu, Zhifeng Hao, Philip S. Yu, Lifang He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges.

Chenhang Cui, Yiyang Zhou, Xinyu Yang, Shirley Wu, Linjun Zhang, James Zou, Huaxiu Yao

CoRR, 2023

Bright Channel Prior Attention for Multispectral Pedestrian Detection.

Chenhang Cui, Jinyu Xie, Yechenhao Yang

CoRR, 2023

A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective.

Chenhang Cui, Yazhou Ren, Jingyu Pu, Jiawei Li, Xiaorong Pu, Tianyi Wu, Yutao Shi, Lifang He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Deep Multi-view Subspace Clustering with Anchor Graph.

Chenhang Cui, Yazhou Ren, Jingyu Pu, Xiaorong Pu, Lifang He

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023