PPaperPicks

Changping Peng

24 papers at tracked venues · 17 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. A Generative Contextual Comprehension Paradigm for Takeout Ranking Model
  2. AIPO: Adaptive Anchored Intent-aware Policy Optimization for Generative Recommendation
  3. DPEO: Dynamic Preference Evolution Optimization for Self-Evolving CTR Prediction
  4. OEPO: Online Experience-based Preference Optimization for CTR Prediction
  5. Reasoning-Grounded Intent Injection for Generative Recommendation
  6. Think Then Recommend: An LLM-Powered Multi-Agent Framework for Personalized Conversational Recommender System in E-Commerce
  7. A Semi-supervised Scalable Unified Framework for E-commerce Query Classification
  8. ADORE: Autonomous Domain-Oriented Relevance Engine for E-commerce
  9. An Unbiased Entire-Space Causal Framework for Click-Through Rate Estimation in Pre-Ranking
  10. CULC-Net: A Recipe for Tailored Creative Selection in Online Advertising
  11. Generative Retrieval and Alignment Model: A New Paradigm for E-commerce Retrieval
  12. Graph Isomorphism Network-Based Cohort Modeling In Click-Through Rate Prediction
  13. HierDiffuse: Progressive Diffusion for Robust Interest Fusion in CTR Prediction
  14. Multi-objective Aligned Bidword Generation Model for E-commerce Search Advertising
  15. Post-event Modeling via Causal Optimal Transport for CTR Prediction
  16. Rethinking Cross-Subject Data Splitting for Brain-to-Text Decoding
  17. SMTIR: Scenario-Aware Multi-Trigger Induction Network for CTR Prediction
  18. Stream Normalization for CTR Prediction
  19. UniERF: A Uniform Embedding-based Retrieval Framework for E-commerce Search
  20. A Semi-supervised Multi-channel Graph Convolutional Network for Query Classification in E-commerce
  21. Generalize for Future: Slow and Fast Trajectory Learning for CTR Prediction
  22. JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System
  23. Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems
  24. Towards Better Seach Query Classification with Distribution-Diverse Multi-Expert Knowledge Distillation in JD Ads Search