Xingwei Wang
21 papers · 2018–2026 · 7 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (7) π Cross-Pollinator (12)
π
Interdisciplinary Bridge
π§
Keyword Pioneer
π
Conference Polyglot
(7)
π€
Dynamic Duo
(12)
β‘
Prolific Year
(9)
ποΈ
Keyword Collector
(90)
π
Century Club
(17)
Conferences
AAAI (9)
ICML (3)
IJCAI (3)
ACL (2)
ICCV (2)
ICLR (1)
NAACL (1)
Top co-authors
Keywords
data augmentation
(3)
representation learning
(3)
multi-label classification
(2)
prompt tuning
(2)
sequential recommendation
(2)
label noise
(2)
label correlation
(2)
low-rank adaptation
(2)
user preference modeling
(2)
large language model
(2)
gradient projection
(2)
soft prompt
(2)
model unlearning
(1)
multi-task learning
(1)
knowledge editing
(1)
collaborative filtering
(1)
catastrophic forgetting
(1)
sequence encoding
(1)
efficient computing
(1)
image retrieval
(1)
Papers
CamoQuery: Language-Guided Reasoning Camouflaged Object Segmentation
ACL 2026
Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
AAAI 2026
MoFu: Scale-Aware Modulation and Fourier Fusion for Multi-Subject Video Generation
AAAI 2026
RAGAR: Retrieval Augmented Personalized Image Generation Guided by Recommendation
AAAI 2026
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
Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS
ICCV 2025
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
AAAI 2025
Equivalence is All: A Unified View for Self-supervised Graph Learning
ICML 2025
N2GON: Neural Networks for Graph-of-Net with Position Awareness
ICML 2025
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
AAAI 2025
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
NAACL 2025
CoRA: Collaborative Information Perception by Large Language Modelβs Weights for Recommendation
AAAI 2025
Representation Surgery for Multi-Task Model Merging
ICML 2024
Limited-Supervised Multi-Label Learning with Dependency Noise
AAAI 2024
AdaMerging: Adaptive Model Merging for Multi-Task Learning
ICLR 2024
Towards Robust Multi-Label Learning against Dirty Label Noise
IJCAI 2024
Basket Representation Learning by Hypergraph Convolution on Repeated Items for Next-basket Recommendation
IJCAI 2023
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
AAAI 2023
Data Augmented Flatness-aware Gradient Projection for Continual Learning
ICCV 2023
Approximating Word Ranking and Negative Sampling for Word Embedding
IJCAI 2018