PPaperPicks

Sheng Zhou

Zhejiang University, Ningbo Research Institute, School of Software Technology, China

31 papers at tracked venues · 26 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. GUI-Robust: A Comprehensive Dataset for Testing GUI Agent Robustness in Real-World Anomalies
  2. History-Aware Reasoning for GUI Agents
  3. ProBench: Benchmarking GUI Agents with Accurate Process Information
  4. TopKGAT: A Top-K Objective-Driven Architecture for Recommendation
  5. Towards Scalable Lightweight GUI Agents via Multi-role Orchestration
  6. Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution
  7. Correlation-Aware Graph Convolutional Networks for Multi-Label Node Classification
  8. Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis
  9. Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding
  10. EcomMIR: Towards Intelligent Multimodal Intent Recognition in E-Commerce Dialogue Systems
  11. How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective
  12. Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction
  13. M4Bench: A Benchmark of Multi-domain Multi-granularity Multi-image Understanding for Multi-modal Large Language Models
  14. MP-GUI: Modality Perception with MLLMs for GUI Understanding
  15. Making Classic GNNs Strong Baselines Across Varying Homophily: A Smoothness-Generalization Perspective
  16. PG-Agent: An Agent Powered by Page Graph
  17. Rankformer: A Graph Transformer for Recommendation based on Ranking Objective
  18. TableNarrator: Making Image Tables Accessible to Blind and Low Vision People
  19. Towards a Unified Framework of Clustering-based Anomaly Detection
  20. Towards an Inclusive Mobile Web: A Dataset and Framework for Focusability in UI Accessibility
  21. Uncertainty-Aware Graph Structure Learning
  22. Understanding and Enhancing Message Passing on Heterophilic Graphs via Compatibility Matrix
  23. CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks
  24. Distributionally Robust Graph-based Recommendation System
  25. GC-Bench: An Open and Unified Benchmark for Graph Condensation
  26. Macro Graph Neural Networks for Online Billion-Scale Recommender Systems
  27. NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise
  28. PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation
  29. Rethinking Propagation for Unsupervised Graph Domain Adaptation
  30. Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
  31. SIGformer: Sign-aware Graph Transformer for Recommendation