Zhicai Wang
10 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24) 🐣 Hot Topic Early Bird 💎 Century Club · Bronze
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Computer Vision
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Learning Types · Deep Learning
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Keywords
diffusion model
(3)
vision-language model
(3)
image classification
(1)
benchmark evaluation
(1)
few-shot learning
(1)
transductive learning
(1)
backdoor defense
(1)
item recommendation
(1)
optimal transport
(1)
data augmentation
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semantic parsing
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image captioning
(1)
test-time adaptation
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conditional generation
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structured output
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prototype learning
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preference modeling
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zero-shot learning
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variational autoencoder
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representation learning
(1)
Papers
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention
AAAI 2026
Mitigating Hallucinations in Large Vision-Language Models without Performance Degradation
ACL 2026
Res-Bench: Benchmarking the Robustness of Multimodal Large Language Models to Dynamic Resolution Input
AAAI 2026
BACON: Improving Clarity of Image Captions via Bag-of-Concept Graphs
CVPR 2025
Dynamic Multimodal Prototype Learning in Vision-Language Models
ICCV 2025
Enhance Image Classification via Inter-Class Image Mixup with Diffusion Model
CVPR 2024
Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
ICLR 2024
Backdoor Defense via Deconfounded Representation Learning
CVPR 2023
Bi-Directional Distribution Alignment for Transductive Zero-Shot Learning
CVPR 2023
Generate What You Prefer: Reshaping Sequential Recommendation via Guided Diffusion
NeurIPS 2023