← authors · overview

• FedEval: A Holistic Evaluation Framework for Federated Learning
  2020 · 20 citations
• On the Effectiveness of Unlearning in Session-Based Recommendation
  2023 · 15 citations
• A Survey on Vertical Federated Learning: From a Layered Perspective
  2023 · 9 citations
• Practical and Secure Federated Recommendation with Personalized Masks
  2021 · 6 citations
• Practical and Secure Federated Recommendation with Personalized Masks
  2021 · 6 citations
• Improving Sequential Recommenders through Counterfactual Augmentation of System Exposure
  2025 · 3 citations
• Hermes: A Multi-Scale Spatial-Temporal Hypergraph Network for Stock Time Series Forecasting
  2025 · 1 citations
• VERTICES: Efficient Two-Party Vertical Federated Linear Model with TTP-aided Secret Sharing
  2023 · 1 citations
• Learning Dynamics from Multicellular Graphs with Deep Neural Networks
  2024 · 1 citations
• Flux-OPD: On-Policy Distillation with Evolving Contexts
  2026
• Odi-bench: Can Mllms Understand Immersive Omnidirectional Environments?
  2025
• Self-Evolving Scientific Agent Discovers Generalizable Physically-Reasoned Fluid Control
  2026
• Escher-Loop: Mutual Evolution by Closed-Loop Self-Referential Optimization
  2026
• An Empirical Study on the Power of Future Prediction in Partially Observable Environments
  2024
• Preference Discerning with LLM-Enhanced Generative Retrieval
  2024