Wanchun Dou
19 papers · 2023–2026 · 5 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 · Silver 🗺️ Taxonomy Completionist (38) 🌍 Conference Polyglot · Silver 🤝 Dynamic Duo (12) 🗃️ Keyword Collector (107)
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Prolific Year · Prolific
🌈
Renaissance Researcher
(9)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(15)
Application Areas
(10)
Artificial Intelligence
(8)
Learning Types
(6)
Core AI
(5)
Core Methods
(5)
Deep Learning
(4)
Natural Language Processing
(4)
Learning Paradigms · Machine Learning
(4)
Learning Paradigms · Artificial Intelligence
(3)
Models
(3)
Data Science & Analytics
(2)
Applications · Natural Language Processing
(2)
Applications · Data Science & Analytics
(2)
Architectures
(2)
Keywords
large language model
(4)
edge computing
(3)
federated learning
(3)
representation learning
(2)
model pruning
(2)
sequential recommendation
(2)
heterogeneous learning
(2)
user-item interaction
(2)
anomaly detection
(1)
relation extraction
(1)
domain adaptation
(1)
batch normalization
(1)
named entity recognition
(1)
multi-label classification
(1)
knowledge distillation
(1)
attention mechanism
(1)
transfer learning
(1)
parameter sharing
(1)
label embedding
(1)
optimal transport
(1)
Papers
AnyPro: Preference-Preserving Anycast Optimization based on Strategic AS-Path Prepending
NSDI 2026
DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
AAAI 2026
Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems
AAAI 2026
Retrieval-driven Reasoning for Deliberative Visual Classification
AAAI 2026
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
IJCAI 2025
CLLMRec: Contrastive Learning with LLMs-based View Augmentation for Sequential Recommendation
IJCAI 2025
DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
ICML 2025
Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
AAAI 2025
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
AAAI 2025
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
AAAI 2025
Policy Filtration for RLHF to Mitigate Noise in Reward Models
ICML 2025
Pyrrha: Congestion-Root-Based Flow Control to Eliminate Head-of-Line Blocking in Datacenter
NSDI 2025
Universal Backdoor Defense via Label Consistency in Vertical Federated Learning
IJCAI 2025
When P4 Meets Run-to-completion Architecture
NSDI 2025
Attention Based Document-level Relation Extraction with None Class Ranking Loss
IJCAI 2024
Counterfactual User Sequence Synthesis Augmented with Continuous Time Dynamic Preference Modeling for Sequential POI Recommendation
IJCAI 2024
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
NeurIPS 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
AAAI 2024
OptIForest: Optimal Isolation Forest for Anomaly Detection
IJCAI 2023