PPaperPicks

Ling Yang

Princeton University, NJ, USA

39 papers at tracked venues · 36 at CORE A* · active 20242026

Venues

Frequent coauthors

Papers

  1. Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion
  2. Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
  3. Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion
  4. Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
  5. EditWorld: Simulating World Dynamics for Instruction-Following Image Editing
  6. Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
  7. EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
  8. GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
  9. HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
    NeurIPS 2025 · Ling Yang
  10. IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
  11. Inversion-DPO: Precise and Efficient Post-Training for Diffusion Models
  12. IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
  13. MMaDA: Multimodal Large Diffusion Language Models
    NeurIPS 2025 · Ling Yang
  14. Preacher: Paper-to-Video Agentic System
  15. ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMs
  16. Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
  17. SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
    ICLR 2025 · Ling Yang
  18. Temporal Consistency for LLM Reasoning Process Error Identification
  19. Towards Scalable and Deep Graph Neural Networks via Noise Masking
  20. Training-Free Heterogeneous Graph Condensation via Data Selection
  21. Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
  22. TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling
  23. BIM: Improving Graph Neural Networks with Balanced Influence Maximization
  24. Binding-Adaptive Diffusion Models for Structure-Based Drug Design
  25. Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
    NeurIPS 2024 · Ling Yang
  26. Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
    ICLR 2024 · Ling Yang
  27. Distribution-Aware Data Expansion with Diffusion Models
  28. HGAMLP: Heterogeneous Graph Attention MLP with De-Redundancy Mechanism
  29. Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
  30. Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
    ICML 2024 · Ling Yang
  31. Motion-aware Latent Diffusion Models for Video Frame Interpolation
  32. Multi- View Teacher with Curriculum Data Fusion for Robust Unsupervised Domain Adaptation
  33. NPA: Improving Large-scale Graph Neural Networks with Non-parametric Attention
  34. Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
  35. RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
  36. Retrieval-Augmented Diffusion Models for Time Series Forecasting
  37. Structure-Guided Adversarial Training of Diffusion Models
    CVPR 2024 · Ling Yang
  38. VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
    ICLR 2024 · Ling Yang
  39. VideoTetris: Towards Compositional Text-to-Video Generation