Wanchun Dou
18 papers · 2023–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Cross-Pollinator (14)
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Interdisciplinary Bridge
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Keyword Champion
(2)
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Dynamic Duo
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Keyword Collector
(91)
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Prolific Year
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Century Club
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Conferences
AAAI (7)
IJCAI (6)
ICML (2)
NSDI (2)
NIPS (1)
Top co-authors
Research topics
Keywords
edge computing
(3)
large language model
(3)
federated learning
(3)
representation learning
(2)
user-item interaction
(2)
sequential recommendation
(2)
heterogeneous learning
(2)
model pruning
(2)
anomaly detection
(1)
batch normalization
(1)
domain adaptation
(1)
named entity recognition
(1)
multi-label classification
(1)
message passing
(1)
knowledge distillation
(1)
attention mechanism
(1)
transfer learning
(1)
label embedding
(1)
performance modeling
(1)
optimal transport
(1)
Papers
Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems
AAAI 2026
DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models
AAAI 2026
Retrieval-driven Reasoning for Deliberative Visual Classification
AAAI 2026
DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning
ICML 2025
Policy Filtration for RLHF to Mitigate Noise in Reward Models
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
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
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
PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers
AAAI 2025
Attention Based Document-level Relation Extraction with None Class Ranking Loss
IJCAI 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
AAAI 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
NIPS 2024
OptIForest: Optimal Isolation Forest for Anomaly Detection
IJCAI 2023