PPaperPicks

Jianwei Niu

Beihang University, School of Computer Science and Engineering, Beijing, China

22 papers at tracked venues · 16 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. DoKnowAD: Calibrating Normal Representations with Refined Domain Knowledge to Enhance Time Series Anomaly Detection
  2. EdgeFormer: Latency-Aware Collaborative Multi-Head Attention of Transformer Inference in Edge Networks
  3. From Scene to Object: Enhancing Open-Vocabulary Object Detection via Foreground-Background Context Reasoning
  4. Learning to Optimize Job Shop Scheduling Under Structural Uncertainty
  5. Benefit from Seen: Enhancing Open-Vocabulary Object Detection by Bridging Visual and Textual Co-Occurrence Knowledge
  6. Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation
  7. Causality Inspired Federated Learning for OOD Generalization
  8. Decoupling Dense Video Captioning via Task-specific Prompts
  9. DiffDVC: Accurate Event Detection for Dense Video Captioning via Diffusion Models
  10. Interaction-Driven Updates: 3D Scene Graph Maintenance During Robot Task Execution
  11. Keep Your Friends Close, and Your Enemies Farther: Distance-Aware Voxel-Wise Contrastive Learning for Semi-Supervised Multi-Organ Segmentation
  12. Scaffold-BPE: Enhancing Byte Pair Encoding for Large Language Models with Simple and Effective Scaffold Token Removal
  13. Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation
  14. Temporal Scaling Law for Large Language Models
  15. BeyondVision: An EMG-driven Micro Hand Gesture Recognition Based on Dynamic Segmentation
  16. Decoupling General and Personalized Knowledge in Federated Learning via Additive and Low-rank Decomposition
  17. DualFed: Enjoying both Generalization and Personalization in Federated Learning via Hierachical Representations
  18. Enabling Collaborative Test-Time Adaptation in Dynamic Environment via Federated Learning
  19. Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning
  20. GuidedNet: Semi-Supervised Multi-Organ Segmentation via Labeled Data Guide Unlabeled Data
  21. LogicST: A Logical Self-Training Framework for Document-Level Relation Extraction with Incomplete Annotations
  22. Why Go Full? Elevating Federated Learning Through Partial Network Updates