Yufei Huang

Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges AAAI 2026 Improving Diffusion Generalization with Weak-to-Strong Segmented Guidance CVPR 2026 Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning AAAI 2026 A Generic Family of Graphical Models: Diversity, Efficiency, and Heterogeneity ICML 2025 A Simple yet Effective ΔΔ G Predictor is An Unsupervised Antibody Optimizer and Explainer ICLR 2025 BioGraphia: A LLM-Assisted Biological Pathway Graph Annotation Platform EMNLP 2025 CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph ICLR 2025 DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing CVPR 2025 Document Segmentation Matters for Retrieval-Augmented Generation ACL 2025 dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen AAAI 2025 EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow ICLR 2025 FigEx: Aligned Extraction of Scientific Figures and Captions EMNLP 2025 FoldToken: Learning Protein Language via Vector Quantization and Beyond AAAI 2025 GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion ACL 2025 MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction ICLR 2025 Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization AAAI 2025 CBBQ: A Chinese Bias Benchmark Dataset Curated with Human-AI Collaboration for Large Language Models COLING 2024 CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models ACL 2024 CToolEval: A Chinese Benchmark for LLM-Powered Agent Evaluation in Real-World API Interactions ACL 2024 Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks ICLR 2024 FastFiD: Improve Inference Efficiency of Open Domain Question Answering via Sentence Selection ACL 2024 GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation ICML 2024 IT2ACL Learning Easy-to-Hard Instructions via 2-Phase Automated Curriculum Learning for Large Language Models COLING 2024 Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure NeurIPS 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning ICML 2024 MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding ICLR 2024 OpenEval: Benchmarking Chinese LLMs across Capability, Alignment and Safety ACL 2024 PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching ICML 2024 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction AAAI 2024 PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction AAAI 2024 Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge ICML 2024 UniIF: Unified Molecule Inverse Folding NeurIPS 2024 VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling ICML 2024 Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework AAAI 2023 Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration NeurIPS 2023 Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs ICML 2023 FPT: Improving Prompt Tuning Efficiency via Progressive Training EMNLP 2022 Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks NeurIPS 2022 Using Context-to-Vector with Graph Retrofitting to Improve Word Embeddings ACL 2022 Interpretable Self-Supervised Facial Micro-Expression Learning to Predict Cognitive State and Neurological Disorders AAAI 2021 TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference NAACL 2021