Xingwei Wang
22 papers · 2018–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (46) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint
🤝
Dynamic Duo
(14)
🌈
Renaissance Researcher
(6)
⚡
Prolific Year · Productive
💎
Century Club · Bronze
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Keyword Collector
(113)
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(9)
Artificial Intelligence
(8)
Application Areas
(8)
Learning Types · Machine Learning
(8)
Core Methods
(7)
Optimization & Theory
(6)
Architectures
(5)
Core AI
(5)
Learning Paradigms
(4)
Learning Types · Deep Learning
(4)
Computer Vision
(3)
Natural Language Processing
(3)
Resources & Methods
(3)
Data Science & Analytics
(2)
Keywords
representation learning
(4)
large language model
(3)
data augmentation
(3)
multi-label classification
(2)
soft prompt
(2)
low-rank adaptation
(2)
prompt tuning
(2)
label correlation
(2)
model merging
(2)
user preference modeling
(2)
label noise
(2)
sequential recommendation
(2)
multi-task learning
(2)
gradient projection
(2)
knowledge editing
(1)
self-supervised learning
(1)
collaborative filtering
(1)
catastrophic forgetting
(1)
sequence encoding
(1)
image retrieval
(1)
Papers
CamoQuery: Language-Guided Reasoning Camouflaged Object Segmentation
ACL 2026
HeteCCL: Synthesizing Near-Optimal Collective Communication Schedules for Heterogeneous GPU Clusters
NSDI 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
Self-Supervised Contrastive Re-Learning for Multi-Graph Multi-Label Classification
AAAI 2026
Augmenting Sequential Recommendation with Balanced Relevance and Diversity
AAAI 2025
Beyond the Limits: Overcoming Negative Correlation of Activation-Based Training-Free NAS
ICCV 2025
CoRA: Collaborative Information Perception by Large Language Model’s Weights for Recommendation
AAAI 2025
Efficient and Effective Prompt Tuning via Prompt Decomposition and Compressed Outer Product
NAACL 2025
EPT: Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
AAAI 2025
Equivalence is All: A Unified View for Self-supervised Graph Learning
ICML 2025
Knowledge Decoupling via Orthogonal Projection for Lifelong Editing of Large Language Models
ACL 2025
Multiple Purchase Chains with Negative Transfer Elimination for Multi-Behavior Recommendation
AAAI 2025
N2GON: Neural Networks for Graph-of-Net with Position Awareness
ICML 2025
AdaMerging: Adaptive Model Merging for Multi-Task Learning
ICLR 2024
Limited-Supervised Multi-Label Learning with Dependency Noise
AAAI 2024
Representation Surgery for Multi-Task Model Merging
ICML 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
Data Augmented Flatness-aware Gradient Projection for Continual Learning
ICCV 2023
Uniform Sequence Better: Time Interval Aware Data Augmentation for Sequential Recommendation
AAAI 2023
Approximating Word Ranking and Negative Sampling for Word Embedding
IJCAI 2018