PPaperPicks

Yongjun Xu

Chinese Academy and Sciences, Institute of Computing Technology, Beijing, China

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

Venues

Frequent coauthors

Papers

  1. APT: Affine Prototype-Timestamp for Time Series Forecasting Under Distribution Shift
  2. Bootstrapping in the Loop: Multi-hop Question Answering via Alternating Decomposition and Retrieval
  3. Incentivizing Agentic Reasoning Capability with Outcome Supervision for Knowledge Base Question Answering
  4. BLAST: Balanced Sampling Time Series Corpus for Universal Forecasting Models
  5. Frequency-Aligned Knowledge Distillation for Lightweight Spatiotemporal Forecasting
  6. Geometric Feature Embedding for Effective 3D Few-Shot Class Incremental Learning
  7. HSRDiff: A Hierarchical Self-Regulation Diffusion Model for Stochastic Semantic Segmentation
  8. MPQ-DM: Mixed Precision Quantization for Extremely Low Bit Diffusion Models
  9. Merlin: Multi-View Representation Learning for Robust Multivariate Time Series Forecasting with Unfixed Missing Rates
  10. Multi-Teacher Knowledge Distillation with Reinforcement Learning for Visual Recognition
  11. Multi-party Collaborative Attention Control for Image Customization
  12. On the Integration of Spatial-Temporal Knowledge: A Lightweight Approach to Atmospheric Time Series Forecasting
  13. Q-VDiT: Towards Accurate Quantization and Distillation of Video-Generation Diffusion Transformers
  14. S2Q-VDiT: Accurate Quantized Video Diffusion Transformer with Salient Data and Sparse Token Distillation
  15. SMARTraj2: A Stable Multi-City Adaptive Method for Multi-View Spatio-Temporal Trajectory Representation Learning
  16. STA-GANN: A Valid and Generalizable Spatio-Temporal Kriging Approach
  17. Selective Learning for Deep Time Series Forecasting
  18. AdapTraj: A Multi-Source Domain Generalization Framework for Multi-Agent Trajectory Prediction
  19. CLIP-KD: An Empirical Study of CLIP Model Distillation
  20. Continual Learning in the Frequency Domain
  21. Controllable Multi-Behavior Recommendation for In-Game Skins with Large Sequential Model
  22. DFGNN: Dual-frequency Graph Neural Network for Sign-aware Feedback
  23. GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing
  24. KFC: Knowledge Reconstruction and Feedback Consolidation Enable Efficient and Effective Continual Generative Learning
  25. Relational Diffusion Distillation for Efficient Image Generation
  26. Tag Tree-Guided Multi-grained Alignment for Multi-Domain Short Video Recommendation
  27. Unified Dual-Intent Translation for Joint Modeling of Search and Recommendation
  28. eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation