Cong Hua
6 papers · 2024–2026 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Taxonomy Completionist
(17)
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Research topics
Keywords
contrastive learning
(1)
feature learning
(1)
knowledge distillation
(1)
model distillation
(1)
interpretable machine learning
(1)
model adaptation
(1)
model editing
(1)
tensor decomposition
(1)
preference modeling
(1)
parameter-efficient fine-tuning
(1)
out-of-distribution detection
(1)
vision-language model
(1)
recommendation system
(1)
concept bottleneck model
(1)
expert routing
(1)
algorithmic bia
(1)
human-ai interaction
(1)
gating mechanism
(1)
gradient-based attribution
(1)
neural network
(1)
Papers
Mind the Way You Select Negative Texts: Pursuing the Distance Consistency in OOD Detection with VLMs
CVPR 2026
Quantifying the Potential to Escape Filter Bubbles: A Behavior-Aware Measure via Contrastive Simulation
AAAI 2026
TuckA: Hierarchical Compact Tensor Experts for Efficient Fine-Tuning
AAAI 2026
Intervening in Black Box: Concept Bottleneck Model for Enhancing Human Neural Network Mutual Understanding
ICCV 2025
OpenworldAUC: Towards Unified Evaluation and Optimization for Open-world Prompt Tuning
ICML 2025
ReconBoost: Boosting Can Achieve Modality Reconcilement
ICML 2024