Xuyun Zhang
23 papers · 2022–2026 · 4 conferences · across top CS/AI conferences
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representation learning
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graph neural network
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sequential recommendation
(3)
recommender system
(3)
edge computing
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heterogeneous learning
(2)
traffic prediction
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user-item interaction
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frequency domain
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membership inference attack
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diffusion model
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federated learning
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contrastive learning
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model pruning
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variational graph auto-encoder
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Papers
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
Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
AAAI 2026
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
AAAI 2026
NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification
AAAI 2025
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
AAAI 2025
Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal
AAAI 2025
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
Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy
AAAI 2025
Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion
IJCAI 2025
Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
AAAI 2025
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
IJCAI 2025
Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation
IJCAI 2025
Fine-Grained and Efficient Self-Unlearning with Layered Iteration
IJCAI 2025
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
NIPS 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
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
IJCAI 2024
Attention Based Document-level Relation Extraction with None Class Ranking Loss
IJCAI 2024
OptIForest: Optimal Isolation Forest for Anomaly Detection
IJCAI 2023
RePreM: Representation Pre-training with Masked Model for Reinforcement Learning
AAAI 2023
Membership Inference via Backdooring
IJCAI 2022