PPaperPicks

Haiping Ma

18 papers at tracked venues · 15 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Breaking Robustness Barriers in Cognitive Diagnosis: A One-Shot Neural Architecture Search Perspective
  2. Debiased Cognitive Diagnosis: A Contrastive Counterfactual Modeling Method via Variational Autoencoder
  3. PEOAT: Personalization-Guided Evolutionary Question Assembly for One-Shot Adaptive Testing
  4. AD4CD: Causal-Guided Anomaly Detection for Enhancing Cognitive Diagnosis
    AAAI 2025 · Haiping Ma
  5. Diffusion-Inspired Cold Start with Sufficient Prior in Computerized Adaptive Testing
    SIGKDD 2025 · Haiping Ma
  6. Endowing Interpretability for Neural Cognitive Diagnosis by Efficient Kolmogorov-Arnold Networks
  7. Explicit and Implicit Examinee-Question Relation Exploiting for Efficient Computerized Adaptive Testing
  8. LIGHT: Enhancing Learning Path Recommendation via Knowledge Topology-Aware Sequence Optimization
  9. Learning Patterns-Guided Data Generation for Knowledge Tracing
    SIGKDD 2025 · Haiping Ma
  10. Reconciling Efficiency and Effectiveness of Exercise Retreival: An Uncertainty Reduction Hashing Approach for Computerized Adaptive Testing
    SIGIR 2025 · Haiping Ma
  11. Rethinking Learner Modeling: A Feedback-Centric Cognitive Disentanglement Perspective
  12. Spatial-Temporal Analysis of Collective Emotional Resonance in China During Global Health Crisis
  13. DGCD: An Adaptive Denoising GNN for Group-level Cognitive Diagnosis
    IJCAI 2024 · Haiping Ma
  14. DISCO: A Hierarchical Disentangled Cognitive Diagnosis Framework for Interpretable Job Recommendation
  15. DisenGCD: A Meta Multigraph-assisted Disentangled Graph Learning Framework for Cognitive Diagnosis
  16. Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach
    AAAI 2024 · Haiping Ma
  17. HD-KT: Advancing Robust Knowledge Tracing via Anomalous Learning Interaction Detection
    WWW 2024 · Haiping Ma
  18. RIGL: A Unified Reciprocal Approach for Tracing the Independent and Group Learning Processes