Ling Yang

Beyond Examples: Towards Automated Thought-level In-Context Reasoning for Large Language Models ACL 2026 Circular-DPO: Aligning Multi-Stage 3D Generative Models via Preference Feedback Loop CVPR 2026 Diffusion Distillation with Direct Preference Optimization for Efficient 3D LiDAR Scene Completion AAAI 2026 Distilling Diffusion Models to Efficient 3D LiDAR Scene Completion ICCV 2025 Distribution Backtracking Builds A Faster Convergence Trajectory for Diffusion Distillation ICLR 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 GlycanML: A Multi-Task and Multi-Structure Benchmark for Glycan Machine Learning ICLR 2025 IPDreamer: Appearance-Controllable 3D Object Generation with Complex Image Prompts ICLR 2025 IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation ICLR 2025 Preacher: Paper-to-Video Agentic System ICCV 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 Temporal Consistency for LLM Reasoning Process Error Identification EMNLP 2025 Towards Scalable and Deep Graph Neural Networks via Noise Masking AAAI 2025 TreeBoN: Enhancing Inference-Time Alignment with Speculative Tree-Search and Best-of-N Sampling EMNLP 2025 Binding-Adaptive Diffusion Models for Structure-Based Drug Design AAAI 2024 Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models NeurIPS 2024 Cross-Modal Contextualized Diffusion Models for Text-Guided Visual Generation and Editing ICLR 2024 Distribution-Aware Data Expansion with Diffusion Models NeurIPS 2024 Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation ICML 2024 Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs ICML 2024 Protein-Ligand Interaction Prior for Binding-aware 3D Molecule Diffusion Models ICLR 2024 RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models NeurIPS 2024 Retrieval-Augmented Diffusion Models for Time Series Forecasting NeurIPS 2024 Structure-Guided Adversarial Training of Diffusion Models CVPR 2024 VideoTetris: Towards Compositional Text-to-Video Generation NeurIPS 2024 VQGraph: Rethinking Graph Representation Space for Bridging GNNs and MLPs ICLR 2024 Improving Diffusion-Based Image Synthesis with Context Prediction NeurIPS 2023 Omni-Granular Ego-Semantic Propagation for Self-Supervised Graph Representation Learning ICML 2022 Unsupervised Time-Series Representation Learning with Iterative Bilinear Temporal-Spectral Fusion ICML 2022 DPGN: Distribution Propagation Graph Network for Few-Shot Learning CVPR 2020