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Yufei Huang

40 papers · 2021–2026 · 9 conferences · across top CS/AI conferences

Achievements

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+12 more ↓ 🌍 Conference Polyglot (9) 🐝 Cross-Pollinator (6) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸƒ Academic Marathon (5)
πŸ—ΊοΈ Taxonomy Completionist (65) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (9) 🀝 Dynamic Duo (22) πŸ‘‘ Triple Crown πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸ’Ž Century Club (38) ⚑ Prolific Year (17) πŸ”₯ Unstoppable (5) πŸ—ƒοΈ Keyword Collector (156)

Conferences

AAAI (9) ACL (7) ICML (7) ICLR (6) NIPS (4) EMNLP (3) COLING (2) CVPR (1) NAACL (1)

Papers

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