PPaperPicks

Amin Beheshti

Macquarie University, Sydney, NSW, Australia

49 papers at tracked venues · 32 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Adaptive and Reinforcement-Guided Contrastive Hypergraph Distillation
  2. DDGCL: Dual Diffusion-based Graph Contrastive Learning for Recommendation
  3. DyLogNet: A Dynamic Multi-Relational Graph Framework for Log Anomaly Detection
  4. Frugal Agents: Efficient Bio Reasoning via Long-Sequence Compression and Prompt-Gated Memory
  5. Hyperbolic-Enhanced Mixture-of-Experts Mamba for Sequential Recommendation
  6. ImVision: Adapting Pretrained Vision Models for Time-Series Imputation
  7. Joint Similar User Exploration and Informative Behavior Guidance for Multi-Modal New Item Recommendation
  8. LHG: LLM-enhanced and Heterogeneous Graph-induced for Unsupervised Social Event Detection
  9. MARCH: Multi-Teacher Contrastive Hypergraph Distillation
  10. MTP: Exploring Multimodal Urban Traffic Profiling with Modality Augmentation and Spectrum Fusion
  11. PLIKD: Prompt Learning with Instance-aware Knowledge Distillation for Web-scale Semantic Image Classification
  12. Revisiting Graph-Level Anomaly Detection: From Partially to Fully Unsupervised Learning
  13. Tracking the Unstable: Appearance-Guided Motion Modeling for Robust Multi-Object Tracking in UAV-Captured Videos
  14. Weakly Supervised Multimodal Claim Verification with Entity-Graph Inference
  15. A Competitive-Cooperative Approach to Dynamic Pricing for Two-Sided Hospitality Platforms
    WWW 2025 ·
    Hadi Mohammadzadeh Abachi
  16. A Multiagent-based Framework on RoboCup Simulation System for Enhancing Rescue Operation during Dynamic Disaster Environments
  17. Balancing User-Item Structure and Interaction with Large Language Models and Optimal Transport for Multimedia Recommendation
  18. Boosting Guided Diffusion with Large Language Models for Multimodal Sequential Recommendation
  19. CausalMVC: Causal Content-Style Representation Learning for Deep Multi-View Clustering
  20. DivGCL: A Graph Contrastive Learning Model for Diverse Recommendation
  21. Empowering Multimodal Road Traffic Profiling with Vision Language Models and Frequency Spectrum Fusion
  22. Enhancing Diffusion Model with Auxiliary Information Mining-Exploration and Efficient Sampling Mechanism for Sequential Recommendation
  23. FlowDubber: Movie Dubbing with LLM-based Semantic-aware Learning and Flow Matching based Voice Enhancing
  24. Global Interpretable Graph-level Anomaly Detection via Prototype
  25. HEAL: Healthcare Emergency Assistants Leveraging Large Language Models
  26. Hyperbolic Variational Graph Auto-Encoder for Next POI Recommendation
  27. Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal
  28. LLMs as Historical Actors: How AI Systems Influence the Web's Evolution
  29. Learning from Uncertainty: A Cloud-Based Active Learning for Detecting Bone Union in Mandibular Reconstruction
  30. Next-Generation Price Recommendation with LLM-Augmented Graph Transformers
    CIKM 2025 ·
    Hadi Mohammadzadeh Abachi
  31. PersoPilot: An Adaptive AI-Copilot for Transparent Contextualized Persona Classification and Personalized Response Generation
  32. PipeMind: Toward a Multi-Agent Framework for Real-Time Feedback and Continuous Optimization in Analytics Pipelines
  33. SDVPT: Semantic-Driven Visual Prompt Tuning for Open-world Object Counting
  34. STGS: Spatio-temporal Graph Sparsification Using Reinforcement Learning
  35. Trffc: Efficient Traffic Forecasting through Adaptive Spatio-Temporal Graph Reduction
  36. Uncertainty-Aware Dynamic Knowledge Graphs for Reliable Question Answering
  37. VITAL: A New Dataset for Benchmarking Pluralistic Alignment in Healthcare
  38. Variational Graph Auto-Encoder Driven Graph Enhancement for Sequential Recommendation
  39. An Interpretable Brain Graph Contrastive Learning Framework for Brain Disorder Analysis
  40. Cluster-driven Personalized Federated Recommendation with Interest-aware Graph Convolution Network for Multimedia
  41. Counterfactual Brain Graph Augmentation Guided Bi-Level Contrastive Learning for Disorder Analysis
  42. DapperFL: Domain Adaptive Federated Learning with Model Fusion Pruning for Edge Devices
  43. Distributionally-Adaptive Variational Meta Learning for Brain Graph Classification
  44. EvidenceQuest: An Interactive Evidence Discovery System for Explainable Artificial Intelligence
  45. FedLPS: Heterogeneous Federated Learning for Multiple Tasks with Local Parameter Sharing
  46. Graph Neural Networks for Brain Graph Learning: A Survey
  47. GraphSUM: Scalable Graph Summarization for Efficient Question Answering
  48. Shadow-Free Membership Inference Attacks: Recommender Systems Are More Vulnerable Than You Thought
  49. StyleDubber: Towards Multi-Scale Style Learning for Movie Dubbing