Enneng Yang
15 papers · 2019–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (12)
πΊοΈ
Taxonomy Completionist
(28)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π€
Dynamic Duo
(12)
π
Grand Slam
β‘
Prolific Year
(5)
ποΈ
Keyword Collector
(63)
π
Century Club
(14)
Conferences
AAAI (5)
ICML (2)
IJCAI (2)
ACL (1)
ICCV (1)
ICLR (1)
JMLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Keywords
data augmentation
(3)
representation learning
(2)
multi-task learning
(2)
sequential recommendation
(2)
continual learning
(2)
catastrophic forgetting
(2)
soft prompt
(2)
prompt tuning
(2)
gradient projection
(2)
matrix factorization
(1)
model unlearning
(1)
computer vision
(1)
orthogonal projection
(1)
model merging
(1)
knowledge editing
(1)
parameter sharing
(1)
collaborative filtering
(1)
gradient descent
(1)
discrete optimization
(1)
computational efficiency
(1)
Papers
Interest-Shift-Aware Logical Reasoning for Efficient Long-Sequence Recommendation
AAAI 2026
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
NAACL 2025
Representation Surgery in Model Merging with Probabilistic Modeling
ICML 2025
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
AAAI 2025
Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models
ACL 2025
FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion
JMLR 2025
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
AAAI 2025
AdaMerging: Adaptive Model Merging for Multi-Task Learning
ICLR 2024
Representation Surgery for Multi-Task Model Merging
ICML 2024
An Efficient Dataset Condensation Plugin and Its Application to Continual Learning
NIPS 2023
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
IJCAI 2023
Data Augmented Flatness-aware Gradient Projection for Continual Learning
ICCV 2023
AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning
AAAI 2023
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
AAAI 2023
Discrete Trust-aware Matrix Factorization for Fast Recommendation
IJCAI 2019