Cong Hua
5 papers · 2024–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π
Conference Polyglot
(2)
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Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(10)
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Cross-Pollinator
(15)
Conferences
AAAI (2)
ICML (2)
ICCV (1)
Top co-authors
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)
recommendation system
(1)
concept bottleneck model
(1)
expert routing
(1)
algorithmic bia
(1)
human-ai interaction
(1)
gradient-based attribution
(1)
neural network
(1)
filter bubble
(1)
hierarchical organization
(1)
Papers
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