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Chenhang Cui

Deep Multi-view Subspace Clustering with Anchor Graph
2023 · Chenhang Cui, Yazhou Ren, et al. · International Joint Conference on Artificial Intelligence · 61
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Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
2024 · Jingyu Pu, Chenhang Cui, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 42
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Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
2023 · Zhou, Yiyang, Cui, Chenhang, et al. · arXiv (Cornell University) · 41
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A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
2023 · Chenhang Cui, Yazhou Ren, et al. · neural information processing systems · 41
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Holistic Analysis of Hallucination in GPT-4V(ision): Bias and Interference Challenges
2023 · Cui, Chenhang, Zhou, Yiyang, et al. · arXiv (Cornell University) · 13
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How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs
2023 · Tu, Haoqin, Cui, Chenhang, et al. · arXiv (Cornell University) · 6
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Enhancing Multi-View Clustering: A Sufficient Information-Theoretic Approach for Consistency Acquisition and Redundancy Elimination
2026 · Yazhou Ren, Zichen Wen, et al. · IEEE Transactions on Pattern Analysis and Machine Intelligence · 3
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
2024 · Zhou, Yiyang, Cui, Chenhang, et al. · arXiv (Cornell University) · 3
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Deep Multi-View Clustering via View-Specific Representation and Global Graph
2023 · Jingyu Pu, Chenhang Cui, et al. · Asian Conference on Artificial Intelligence Technology (ACAIT) · 3
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
2025 · Zhaorun Chen, Zichen Wen, et al. · neural information processing systems · 2
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Coupling Execution Horizon and Sampling Depth in Flow-Matching VLA Policies
2026 · Yang, Jiabing, Xu, Yuan, et al. · arXiv (Cornell University)
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Recursive Environment Scaling for General Long-Horizon Agents
2026 · Jing, Lingxiao, Jiao, Zhengbo, et al. · arXiv (Cornell University)
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EmoRSS: Mitigating Emotion-Induced Over-Refusal in Large Language Models
2026 · Miao, Shuyi, Ma, Yaojin, et al. · arXiv (Cornell University)
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BARQ: Balanced Codebook Refinement for Low-Bit LLM Quantization
2026 · Cui, Chenhang, Xie, Xu, et al. · arXiv (Cornell University)
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DV-Lens: Revealing the Functional Organization of Language Model Parameters
2026 · Cui, Chenhang, Yu, Jian, et al. · arXiv (Cornell University)
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VitaBench 2.0: Evaluating Personalized and Proactive Agents in Long-Term User Interactions
2026 · Chen, Yuxin, Zhang, Yi, et al. · arXiv (Cornell University)
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WildRoadBench: A Wild Aerial Road-Damage Grounding Benchmark for Vision-Language Models and Autonomous Agents
2026 · Liu, Bingnan, Cui, Chenhang, et al. · arXiv (Cornell University)
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Do LLMs and VLMs Share Neurons for Inference? Evidence and Mechanisms of Cross-Modal Transfer
2026 · Cui, Chenhang, Zhang, An, et al. · arXiv (Cornell University)
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Transport and Merge: Cross-Architecture Merging for Large Language Models
2026 · Cui, Chenhang, Yang, Binyun, et al. · arXiv (Cornell University)
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Reliable and Responsible Foundation Models: A Comprehensive Survey
2026 · Yang, Xinyu, Han, Junlin, et al. · arXiv (Cornell University)
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Risky-Bench: Evaluating Agentic Safety Risks in Real-World Life-Assist Deployments
2026 · Zheng, Jingnan, Luo, Yanzhen, et al. · arXiv (Cornell University)
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Self-Guard: Defending Large Reasoning Models via enhanced self-reflection
2026 · Zheng, Jingnan, Xu, Jingjun, et al. · arXiv (Cornell University)
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Lingua-SafetyBench: A Benchmark for Safety Evaluation of Multilingual Vision-Language Models
2026 · Shi, Enyi, Shao, Pengyang, et al. · arXiv (Cornell University)
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Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models
2025 · Chenhang Cui, Gelei Deng, et al. · neural information processing systems
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RSafe: Incentivizing proactive reasoning to build robust and adaptive LLM safeguards
2025 · jingnan zheng, Xiangtian Ji, et al. · neural information processing systems
Works count: 27
Citation count: 215
H-index: 6
I10-index: 5
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