Chenhang Cui
12 papers · 2023–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (11) πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π§ Keyword Pioneer π Interdisciplinary Bridge
π
Conference Polyglot
(7)
π
Century Club
(12)
β‘
Prolific Year
(6)
β
The Questioner
Conferences
ICLR (3)
IJCAI (3)
NIPS (2)
AAAI (1)
ECCV (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
multi-view clustering
(4)
hallucination reduction
(2)
vision-language model
(2)
graph neural network
(2)
spectral clustering
(1)
variational inference
(1)
graph learning
(1)
self-supervised learning
(1)
preference optimization
(1)
deep clustering
(1)
modality alignment
(1)
model alignment
(1)
redundancy reduction
(1)
information entropy
(1)
large multimodal model
(1)
vision language model
(1)
token pruning
(1)
visual-language model
(1)
inference efficiency
(1)
cluster assignment
(1)
Papers
VFlowOpt: A Token Pruning Framework for LMMs with Visual Information Flow-Guided Optimization
ICCV 2025
Improving Alignment in LVLMs with Debiased Self-Judgment
EMNLP 2025
MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models
ICLR 2025
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
ICLR 2025
Analyzing and Mitigating Object Hallucination in Large Vision-Language Models
ICLR 2024
Dynamic Weighted Graph Fusion for Deep Multi-View Clustering
IJCAI 2024
Calibrated Self-Rewarding Vision Language Models
NIPS 2024
Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering
AAAI 2024
How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs
ECCV 2024
Integrating Vision-Language Semantic Graphs in Multi-View Clustering
IJCAI 2024
A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective
NIPS 2023
Deep Multi-view Subspace Clustering with Anchor Graph
IJCAI 2023