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Xuyun Zhang

23 papers · 2022–2026 · 4 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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+5 more ↓ πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (43) 🌍 Conference Polyglot Β· Bronze 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (13)
🌈 Renaissance Researcher (8) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (117)

Venues

AAAI (11) IJCAI (9) ICML (2) NeurIPS (1)

Top co-authors

Xiaolong Xu (13) Lianyong Qi (13) Wanchun Dou (12) Amin Beheshti (12) Haolong Xiang (7) Hongsheng Hu (6) Weiming Liu (5) Xiaokang Zhou (3) Xiaoyong Li (3) Yuwen Liu (3)

Research topics

Machine Learning (21) Application Areas (12) Learning Types Β· Machine Learning (10) Core Methods (9) Deep Learning (8) Artificial Intelligence (7) Core AI (6) Data Science & Analytics (4) Applications (4) Architectures (4) Learning Types Β· Deep Learning (4) Models (4) Natural Language Processing (3) Computer Vision (2) Reinforcement Learning (2)

Keywords

representation learning (4) edge computing (3) sequential recommendation (3) recommender system (3) graph neural network (3) contrastive learning (2) user-item interaction (2) heterogeneous learning (2) frequency domain (2) variational graph autoencoder (2) transfer learning (2) traffic prediction (2) machine unlearning (2) large language model (2) federated learning (2) model pruning (2) membership inference attack (2) diffusion model (2) multi-label classification (2) knowledge distillation (1)

Papers

DIAA: A Decoding-Efficient Inference Acceleration Approach for On-Device Large Language Models 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 Reference Recommendation Based Membership Inference Attack Against Hybrid-Based Recommender Systems AAAI 2026 Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation IJCAI 2025 Defense Against Model Stealing Based on Account-Aware Distribution Discrepancy AAAI 2025 DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025 DocKS-RAG: Optimizing Document-Level Relation Extraction through LLM-Enhanced Hybrid Prompt Tuning ICML 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 Fine-Grained and Efficient Self-Unlearning with Layered Iteration IJCAI 2025 Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal AAAI 2025 NLGT: Neighborhood-based and Label-enhanced Graph Transformer Framework for Node Classification AAAI 2025 Policy Filtration for RLHF to Mitigate Noise in Reward Models ICML 2025 Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation IJCAI 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 Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought 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