Ling Yang
31 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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Conferences
ICLR (9)
NIPS (6)
ICML (4)
AAAI (3)
EMNLP (3)
ACL (2)
CVPR (2)
ICCV (2)
Top co-authors
Keywords
diffusion model
(8)
graph neural network
(3)
knowledge distillation
(2)
text-to-image generation
(2)
mathematical reasoning
(2)
generative model
(2)
large language model
(2)
compositional generation
(2)
self-supervised learning
(2)
direct preference optimization
(2)
video generation
(1)
data augmentation
(1)
in-context learning
(1)
prompt engineering
(1)
label propagation
(1)
few-shot learning
(1)
graph representation learning
(1)
language model alignment
(1)
manifold learning
(1)
adversarial training
(1)
Papers
Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion
AAAI 2026
Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models
ACL 2026
Preacher: Paper-to-Video Agentic System
ICCV 2025
Towards Scalable and Deep Graph Neural Networks via Noise Masking
AAAI 2025
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration
ACL 2025
EmoAgent: Assessing and Safeguarding Human-AI Interaction for Mental Health Safety
EMNLP 2025
TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling
EMNLP 2025
Temporal Consistency for LLM Reasoning Process Error Identification
EMNLP 2025
Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion
ICCV 2025
GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning
ICLR 2025
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
ICLR 2025
Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation
ICLR 2025
Rectified Diffusion: Straightness Is Not Your Need in Rectified Flow
ICLR 2025
SuperCorrect: Advancing Small LLM Reasoning with Thought Template Distillation and Self-Correction
ICLR 2025
IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts
ICLR 2025
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
ICML 2024
Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing
ICLR 2024
Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models
ICLR 2024
VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs
ICLR 2024
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
NIPS 2024
Distribution-Aware Data Expansion with Diffusion Models
NIPS 2024
Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
NIPS 2024
Binding-Adaptive Diffusion Models for Structure-Based Drug Design
AAAI 2024
Retrieval-Augmented Diffusion Models for Time Series Forecasting
NIPS 2024
VideoTetris: Towards Compositional Text-to-Video Generation
NIPS 2024
Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs
ICML 2024
Structure-Guided Adversarial Training of Diffusion Models
CVPR 2024
Improving Diffusion-Based Image Synthesis with Context Prediction
NIPS 2023
Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion
ICML 2022
Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning
ICML 2022
DPGN: Distribution Propagation Graph Network for Few-Shot Learning
CVPR 2020