Amin Beheshti
17 papers · 2023–2026 · 5 conferences · across top CS/AI conferences
Achievements
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🐝 Cross-Pollinator (14) 🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (8)
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Interdisciplinary Bridge
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Dynamic Duo
(10)
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Keyword Collector
(88)
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Prolific Year
(6)
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Conference Pioneer
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Century Club
(14)
Conferences
AAAI (7)
IJCAI (6)
ACL (2)
MICCAI (1)
NIPS (1)
Top co-authors
Keywords
representation learning
(4)
graph neural network
(3)
sequential recommendation
(3)
heterogeneous learning
(2)
multimodal learning
(2)
model pruning
(2)
large language model
(2)
frequency domain
(2)
variational graph auto-encoder
(2)
traffic prediction
(2)
diffusion model
(2)
contrastive learning
(2)
federated learning
(2)
edge computing
(2)
recommender system
(2)
responsible ai
(1)
multi-label classification
(1)
domain adaptation
(1)
speech synthesis
(1)
transfer learning
(1)
Papers
MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
AAAI 2026
Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
AAAI 2026
Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos
AAAI 2026
Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
AAAI 2025
VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare
ACL 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
Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal
AAAI 2025
Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
IJCAI 2025
Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation
IJCAI 2025
Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
IJCAI 2024
FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
AAAI 2024
StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing
ACL 2024
DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
NIPS 2024
Graph Neural Networks for Brain Graph Learning: A Survey
IJCAI 2024
Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification
MICCAI 2024
OptIForest: Optimal Isolation Forest for Anomaly Detection
IJCAI 2023