Zhengwei Wu

Venues

Frequent coauthors

Papers

1. Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
   AAAI 2025 ·

   Gong-Duo Zhang

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2. Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data
   WSDM 2025 ·

   Binbin Hu

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3. Adaptively Denoising Graph Neural Networks for Knowledge Distillation
   ECML-PKDD 2024 ·

   Yuxin Guo

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4. DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation
   SIGKDD 2024 ·

   Zhicheng An

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5. Enhancing Pre-Ranking Performance: Tackling Intermediary Challenges in Multi-Stage Cascading Recommendation Systems
   SIGKDD 2024 ·

   Jianping Wei

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6. Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation
   WWW 2024 ·

   Shaowei Wei

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7. To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation
   CIKM 2024 ·

   Zhigang Huangfu

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