PPaperPicks

Fan Zhou

University of Electronic Science and Technology of China, Chengdu, China

40 papers at tracked venues · 38 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Beyond Graph Priors: A Co-Evolving Framework Under Uncertainty for Enterprise Resilience Assessment
  2. Causally-Grounded Dual-Path Attention Intervention for Object Hallucination Mitigation in LVLMs
  3. Evidential Matching, Uncertainty Calibration: Towards Robust Composed Video Retrieval with Noisy Triplets
  4. From Shallow Humor to Metaphor: Towards Label-Free Harmful Meme Detection via LMM Agent Self-Improvement
  5. LEAF: Towards Lightweight Explainable Hateful Video Detection via Self-Grounding CoT Guided Stage-Wise Distillation
  6. Learning to Curate Context: Jointly Optimizing Retrieval and Prediction for Multimodal Social Media Popularity
  7. Modality-Balanced Collaborative Distillation for Multi-Modal Domain Generalization
  8. Nip Rumors in the Bud: Retrieval-Guided Topic-Level Adaptation for Test-Time Fake News Video Detection
  9. Shedding the Facades, Connecting the Domains: Detecting Shifting Multimodal Hate Video with Test-Time Adaptation
  10. TAMEing Long Contexts in Personalization: Towards Training-Free and State-Aware MLLM Personalized Assistant
  11. Bimodal Debiasing for Text-to-Image Diffusion: Adaptive Guidance in Textual and Visual Spaces
  12. Biting Off More Than You Can Detect: Retrieval-Augmented Multimodal Experts for Short Video Hate Detection
  13. Borrowing Eyes for the Blind Spot: Overcoming Data Scarcity in Malicious Video Detection Via Cross-Domain Retrieval Augmentation
  14. Echoes in the Feed: Evolution-aware Prompt-augmented Micro-video Popularity Prediction
  15. Facing Anomalies Head-On: Network Traffic Anomaly Detection via Uncertainty-Inspired Inter-Sample Differences
  16. Following Clues, Approaching the Truth: Explainable Micro-Video Rumor Detection via Chain-of-Thought Reasoning
  17. Generative Thinking, Corrective Action: User-Friendly Composed Image Retrieval via Automatic Multi-Agent Collaboration
  18. Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation
  19. In-context Prompt-augmented Micro-video Popularity Prediction
  20. REDEEMing Modality Information Loss: Retrieval-Guided Conditional Generation for Severely Modality Missing Learning
  21. Redundancy Undermines the Trustworthiness of Self-Interpretable GNNs
  22. Retrieval-Augmented Dynamic Prompt Tuning for Incomplete Multimodal Learning
  23. Reward Balancing Revisited: Enhancing Offline Reinforcement Learning for Recommender Systems
  24. Seeing the Unseen in Micro-Video Popularity Prediction: Self-Correlation Retrieval for Missing Modality Generation
  25. Amplifying Diversity and Quality in Commonsense Knowledge Graph Completion (Student Abstract)
  26. Analyzing and Mitigating Repetitions in Trip Recommendation
  27. Biases Mitigation and Expressiveness Preservation in Language Models: A Comprehensive Pipeline (Student Abstract)
  28. Decoupling User Relationships Guides Information Diffusion Prediction (Student Abstract)
  29. Disentanglement-Guided Spatial-Temporal Graph Neural Network for Metro Flow Forecasting (Student Abstract)
  30. Enhancing Fine-Grained Urban Flow Inference via Incremental Neural Operator
  31. Graph Anomaly Detection with Diffusion Model-Based Graph Enhancement (Student Abstract)
  32. Information Diffusion Prediction via Cascade-Retrieved In-context Learning
  33. Interpreting Temporal Knowledge Graph Reasoning (Student Abstract)
  34. Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-level Anomaly Detection
  35. Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning
  36. Predicting Micro-video Popularity via Multi-modal Retrieval Augmentation
  37. Retrieval-Augmented Hypergraph for Multimodal Social Media Popularity Prediction
  38. Self-Explainable Next POI Recommendation
  39. Shallow Diffusion for Fast Speech Enhancement (Student Abstract)
  40. Spatial-Temporal Augmentation for Crime Prediction (Student Abstract)