Amin Beheshti
18 papers · 2023–2026 · 6 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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πΊοΈ Taxonomy Completionist (40) π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (12)
π€
Dynamic Duo
(12)
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(6)
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Prolific Year Β· Productive
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Conference Pioneer
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Century Club Β· Bronze
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Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(8)
Deep Learning
(8)
Application Areas
(8)
Core AI
(7)
Core Methods
(7)
Learning Types
(7)
Computer Vision
(5)
Models
(5)
Architectures
(4)
Data Science & Analytics
(3)
Applications
(3)
Healthcare & Medicine
(2)
Natural Language Processing
(2)
Analysis
(2)
Keywords
representation learning
(4)
graph neural network
(3)
sequential recommendation
(3)
contrastive learning
(3)
multimodal learning
(2)
edge computing
(2)
heterogeneous learning
(2)
variational graph autoencoder
(2)
large language model
(2)
traffic prediction
(2)
frequency domain
(2)
diffusion model
(2)
federated learning
(2)
model pruning
(2)
recommender system
(2)
cross-modal retrieval
(1)
multi-label classification
(1)
domain adaptation
(1)
speech synthesis
(1)
transfer learning
(1)
Papers
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
POGA: Paraphrased and Oppositional Graph Alignment for Fine-Grained Cross-Modal Retrieval
CVPR 2026
Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos
AAAI 2026
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
IJCAI 2025
DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
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
Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal
AAAI 2025
Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation
IJCAI 2025
VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare
ACL 2025
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
NeurIPS 2024
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification
MICCAI 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
AAAI 2024
Graph Neural Networks for Brain Graph Learning: A Survey
IJCAI 2024
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
IJCAI 2024
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing
ACL 2024
OptIForest: Optimal Isolation Forest for Anomaly Detection
IJCAI 2023