Yue Ding
9 papers · 2017–2025 · 8 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (8) π Academic Marathon (8) π Renaissance Researcher (6) π Interdisciplinary Bridge π Cross-Pollinator (13)
πΊοΈ
Taxonomy Completionist
(24)
π§
Keyword Pioneer
π
Trend Setter
Conferences
EMNLP (2)
ACL (1)
ACML (1)
CVPR (1)
ICCV (1)
ICLR (1)
ICML (1)
IJCAI (1)
Top co-authors
Keywords
convolutional neural network
(2)
recommender system
(2)
hallucination detection
(2)
multi-task learning
(1)
embedding space
(1)
collaborative filtering
(1)
attention mechanism
(1)
visual grounding
(1)
model aggregation
(1)
deep learning
(1)
contextual representation
(1)
stacked denoising autoencoder
(1)
feature interaction
(1)
probabilistic model
(1)
personalized model
(1)
client heterogeneity
(1)
representation engineering
(1)
neural radiance field
(1)
hallucination mitigation
(1)
large vision-language model
(1)
Papers
BECAME: Bayesian Continual Learning with Adaptive Model Merging
ICML 2025
SHARP: Steering Hallucination in LVLMs via Representation Engineering
EMNLP 2025
Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models
EMNLP 2025
Discretized Gaussian Representation for Tomographic Reconstruction
ICCV 2025
InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes
ICLR 2024
FedHCA2: Towards Hetero-Client Federated Multi-Task Learning
CVPR 2024
On Isotropy Calibration of Transformer Models
ACL 2022
CFM: Convolutional Factorization Machines for Context-Aware Recommendation
IJCAI 2019
PHD: A Probabilistic Model of Hybrid Deep Collaborative Filtering for Recommender Systems
ACML 2017