Yufei Huang
40 papers · 2021–2026 · 9 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Cross-Pollinator (6) π Interdisciplinary Bridge π§ Keyword Pioneer π Academic Marathon (5)
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(65)
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Conference Polyglot
(9)
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Dynamic Duo
(22)
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Triple Crown
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Grand Slam
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Topic Evolution
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Keyword Champion
(2)
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Century Club
(38)
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Prolific Year
(17)
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Unstoppable
(5)
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Keyword Collector
(156)
Conferences
AAAI (9)
ACL (7)
ICML (7)
ICLR (6)
NIPS (4)
EMNLP (3)
COLING (2)
CVPR (1)
NAACL (1)
Top co-authors
Keywords
large language model
(8)
graph neural network
(6)
model compression
(4)
protein structure
(4)
knowledge distillation
(3)
protein sequence
(2)
chinese language
(2)
reinforcement learning
(2)
pre-trained language model
(2)
antibody design
(2)
diffusion model
(2)
protein structure prediction
(2)
benchmark dataset
(2)
question answering
(2)
multi-layer perceptron
(2)
medical imaging
(1)
self-supervised learning
(1)
benchmark evaluation
(1)
optimal transport
(1)
curriculum learning
(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