PPaperPicks

Yuan Meng

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

Venues

Frequent coauthors

Papers

  1. Disentangled Graph LLM for Molecule Graph Editing under Distribution Shifts
  2. ACL: Activating Capability of Linear Attention for Image Restoration
  3. CATP-LLM: Empowering Large Language Models for Cost-Aware Tool Planning
  4. CIT: Context-Based Biased Batch-Sampling for Almost-Surely Asymptotically Optimal Motion Planning
  5. CPRet: A Dataset, Benchmark, and Model for Retrieval in Competitive Programming
  6. Dynamic Model Fusion for Multi-Source Test-Time Adaptation
  7. FCKT: Fine-Grained Cross-Task Knowledge Transfer with Semantic Contrastive Learning for Targeted Sentiment Analysis
  8. FreeCAD: A Multimodal Framework for 3D CAD Model Generation from Free-Form Prompts
  9. Hyperbolic Diffusion Recommender Model
    WWW 2025 · Meng Yuan
  10. JAQ: Joint Efficient Architecture Design and Low-Bit Quantization with Hardware-Software Co-Exploration
  11. LLM-Hype: A Targeted Evaluation Framework for Hypernym-Hyponym Identification in Large Language Models
  12. One QuantLLM for ALL: Fine-tuning Quantized LLMs Once for Efficient Deployments
  13. Parameter-Aware Contrastive Knowledge Editing: Tracing and Rectifying based on Critical Transmission Paths
  14. Peripheral Memory for LLMs: Integration of Sequential Memory Banks with Adaptive Querying
  15. Q-DiT: Accurate Post-Training Quantization for Diffusion Transformers
  16. Quantization Meets OOD: Generalizable Quantization-aware Training from a Flatness Perspective
  17. Safe APG: Accelerated Policy Gradient Algorithm for Secure Policy Updating in Reinforcement Learning
  18. Style Nursing with Spatial and Semantic Guidance for Zero-Shot Traffic Scene Style Transfer
  19. Light POI-Guided Conversational Recommender System based on Adaptive Space
    SDM 2024 · Meng Yuan
  20. RealTCD: Temporal Causal Discovery from Interventional Data with Large Language Model
  21. Retraining-free Model Quantization via One-Shot Weight-Coupling Learning
  22. Towards Lightweight Graph Neural Network Search with Curriculum Graph Sparsification