Xiaolong Xu

27 papers · 2023–2026 · 7 conferences · across top CS/AI conferences

Achievements

+7 more ↓

🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (11) 🐝 Cross-Pollinator (14)

🧭 Keyword Pioneer 🐝 Cross-Pollinator (14) 🤝 Dynamic Duo (12) 💎 Century Club (23) ⚡ Prolific Year (16) 🗃️ Keyword Collector (127) ❓ The Questioner

Conferences

IJCAI (11) AAAI (10) ICML (2) CVPR (1) ICCV (1) NAACL (1) NIPS (1)

Top co-authors

Xuyun Zhang (13) Lianyong Qi (13) Haolong Xiang (12) Wanchun Dou (12) Amin Beheshti (8) Xiaokang Zhou (4) Hongsheng Hu (4) Weiming Liu (4) Xiaoyong Li (4) Fei Dai (3)

Research topics

Privacy (2)

Keywords

contrastive learning (5) representation learning (5) large language model (4) anomaly detection (3) graph neural network (3) recommender system (3) federated learning (3) knowledge distillation (2) domain adaptation (2) frequency domain (2) optimal transport (2) sequential recommendation (2) traffic prediction (2) graph anomaly detection (1) embedding learning (1) zero-shot learning (1) feature selection (1) differential privacy (1) batch normalization (1) domain generalization (1)

Papers

IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction AAAI 2026 MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion AAAI 2026 Exploring High-order-aware Prompt Learning for Zero-shot Anomaly Detection AAAI 2026 Talon: Breaking the Synchronization Barrier in Speculative Decoding with Hybrid Model-based and Retrieve-based Drafting AAAI 2026 DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation AAAI 2025 PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers AAAI 2025 UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection CVPR 2025 Dual-Temporal Exemplar Representation Network for Video Semantic Segmentation ICCV 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 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 Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion IJCAI 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 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025 MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection IJCAI 2025 Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning IJCAI 2025 Huatuo-26M, a Large-scale Chinese Medical QA Dataset NAACL 2025 Representation Learning Based Predicate Invention on Knowledge Graphs AAAI 2025 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 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 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs IJCAI 2023 Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023