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Xiaolong Xu

28 papers · 2023–2026 · 7 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 ↓ 🌍 Conference Polyglot Β· Silver πŸŒ‰ Interdisciplinary Bridge Β· Silver πŸ—ΊοΈ Taxonomy Completionist (54) 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (13)
🌈 Renaissance Researcher (8) ❓ The Questioner ⚑ Prolific Year Β· Prolific πŸ’Ž Century Club Β· Bronze πŸ—ƒοΈ Keyword Collector (141)

Venues

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

Top co-authors

Xuyun Zhang (13) Lianyong Qi (13) Haolong Xiang (12) Wanchun Dou (12) Amin Beheshti (8) Xiaoyong Li (5) Xiaokang Zhou (4) Hongsheng Hu (4) Weiming Liu (4) Fei Dai (3)

Research topics

Machine Learning (24) Application Areas (14) Learning Types (13) Artificial Intelligence (12) Core Methods (11) Deep Learning (8) Core AI (8) Computer Vision (6) Natural Language Processing (6) Analysis (5) Learning Paradigms Β· Artificial Intelligence (5) Data Science & Analytics (4) Applications (4) Learning Paradigms Β· Machine Learning (4) Models (4)

Keywords

representation learning (5) large language model (5) contrastive learning (5) graph neural network (3) anomaly detection (3) recommender system (3) federated learning (3) vision-language model (2) knowledge distillation (2) domain adaptation (2) graph autoencoder (2) frequency domain (2) optimal transport (2) sequential recommendation (2) traffic prediction (2) backdoor defense (1) graph anomaly detection (1) semi-supervised learning (1) embedding learning (1) feature selection (1)

Papers

Exploring High-order-aware Prompt Learning for Zero-shot Anomaly Detection AAAI 2026 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 PhyOceanCast: Global Ocean Forecasting with Physics-Informed Diffusion CVPR 2026 Talon: Breaking the Synchronization Barrier in Speculative Decoding with Hybrid Model-based and Retrieve-based Drafting 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 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 Dual-Temporal Exemplar Representation Network for Video Semantic Segmentation ICCV 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 Huatuo-26M, a Large-scale Chinese Medical QA Dataset NAACL 2025 MEGAD: A Memory-Efficient Framework for Large-Scale Attributed Graph Anomaly Detection IJCAI 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 Representation Learning Based Predicate Invention on Knowledge Graphs AAAI 2025 UniNet: A Contrastive Learning-guided Unified Framework with Feature Selection for Anomaly Detection CVPR 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025 Where Does This Data Come From? Enhanced Source Inference Attacks in Federated Learning 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 Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought IJCAI 2024 Differentially Private Learning with Per-Sample Adaptive Clipping AAAI 2023 OptIForest: Optimal Isolation Forest for Anomaly Detection IJCAI 2023 SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs IJCAI 2023