Lianyong Qi
21 papers · 2023–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π€ Dynamic Duo (13)
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Renaissance Researcher
(5)
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Research topics
Machine Learning
(18)
Application Areas
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Core Methods
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Deep Learning
(7)
Artificial Intelligence
(5)
Data Science & Analytics
(4)
Natural Language Processing
(4)
Applications Β· Data Science & Analytics
(4)
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Computer Vision
(2)
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Applications Β· Natural Language Processing
(2)
Keywords
representation learning
(5)
optimal transport
(4)
large language model
(4)
sequential recommendation
(4)
recommender system
(4)
graph neural network
(4)
graph autoencoder
(2)
variational graph autoencoder
(2)
contrastive learning
(2)
domain adaptation
(1)
graph representation learning
(1)
attention mechanism
(1)
knowledge distillation
(1)
relation extraction
(1)
multi-task learning
(1)
graph anomaly detection
(1)
semi-supervised learning
(1)
multi-label classification
(1)
pseudo labeling
(1)
multimodal learning
(1)
Papers
Bypassing the Transport Plan: Dynamic Reweighting for Out-of-Distribution Detection with Optimal Transport
CVPR 2026
Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
AAAI 2026
IdeFN: Identifying Unclicked Space False Negatives via Relaxed Partial Optimal Transport for Conversion Rate Prediction
AAAI 2026
Retrieval-driven Reasoning for Deliberative Visual Classification
AAAI 2026
Subspace-Aware Graph Construction and Contrastive Alignment for Multimodal Recommendation with Large Language Models
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
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment
CVPR 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
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
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
Text Anomaly Detection with Simplified Isolation Kernel
EMNLP 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
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
IJCAI 2024
OptIForest: Optimal Isolation Forest for Anomaly Detection
IJCAI 2023