Yufei Huang
- Tool Learning with Foundation Models
2023/04/17 by Yujia Qin, Shengding Hu, Qin, Yujia +79 · 51 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Mobile Crowdsensing and Crowdsourcing #Software Engineering Research
- Large Language Model Alignment: A Survey
2023/09/26 by Tianhao Shen, Renren Jin, Shen, Tianhao +15 · 38 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Software Engineering Research #Topic Modeling
- Evaluating Large Language Models: A Comprehensive Survey
2023/10/30 by Zishan Guo, Guo, Zishan, Renren Jin +18 · 24 citations
Computer Science · Medicine · #Topic Modeling #Artificial Intelligence in Healthcare and Education #Natural Language Processing Techniques
- A protocol for RNA methylation differential analysis with MeRIP-Seq data and exomePeak R/Bioconductor package
2014/06/27 by Jia Meng, Zhiliang Lu, Zhi-Liang Lu +7 · 7 citations
Biochemistry, Genetics and Molecular Biology · #RNA modifications and cancer #Cancer-related molecular mechanisms research #RNA Research and Splicing
- DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding
2022/11/21 by Haitao Lin, Yufei Huang, Lin, Haitao +12 · 8 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Protein Structure and Dynamics #Protein purification and stability
- ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer
2024/12/10 by Jinyi Hu, Hu, Jinyi, Shengding Hu +14 · 16 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications
- Large Language Model Safety: A Holistic Survey
2024/12/23 by Dan Shi, Shi, Dan, Tianhao Shen +22 · 16 citations
Computer Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Topic Modeling
- Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs
2023/06/09 by Lirong Wu, Wu, Lirong, Haitao Lin +5 · 4 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Topological and Geometric Data Analysis
- CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
2024/06/16 by Haitao Lin, Lin, Haitao, Guojiang Zhao +17 · 6 citations
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought
2025/05/21 by Ao Liu, Tencent Hunyuan Team, Botong Zhou +509 · 1 voice · 11 citations
Computer Science · Medicine · #Artificial Intelligence in Healthcare and Education #Big Data and Digital Economy #Topic Modeling #cs.CL
- Deep Lead Optimization: Leveraging Generative AI for Structural Modification
2024/04/30 by Odin Zhang, Zhang, Odin, Haitao Lin +17 · 5 citations
Engineering · #Artificial Intelligence (cs.AI) #BIM and Construction Integration #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Manufacturing Process and Optimization
- Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
2024/02/18 by Yufei Huang, Odin Zhang, Huang, Yufei +13 · 4 citations
Computer Science · Engineering · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #Chemical Physics (physics.chem-ph) #FOS: Biological sciences #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Molecular Communication and Nanonetworks #Molecular Junctions and Nanostructures #Quantum-Dot Cellular Automata
- Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting it into MLPs: An Effective GNN-to-MLP Distillation Framework
2023/05/18 by Lirong Wu, Wu, Lirong, Haitao Lin +7 · 3 citations
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Graph Theory and Algorithms #Machine Learning (cs.LG) #Neural Networks and Applications
- TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference
2021/05/25 by Deming Ye, Yankai Lin, Ye, Deming +5 · 2 citations
Computer Science · #Topic Modeling #Natural Language Processing Techniques #Multimodal Machine Learning Applications
- Configurable Foundation Models: Building LLMs from a Modular Perspective
2024/09/04 by Chaojun Xiao, Zhengyan Zhang, Xiao, Chaojun +43 · 4 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Semantic Web and Ontologies
- MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
2024/02/22 by Lirong Wu, Yijun Tian, Wu, Lirong +11 · 3 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Bioinformatics and Genomic Networks #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Protein 3D Graph Structure Learning for Robust Structure-based Protein Property Prediction
2023/10/14 by Yufei Huang, Huang, Yufei, Siyuan Li +22 · 1 voice · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Computational Drug Discovery Methods #Machine Learning in Bioinformatics #Protein Structure and Dynamics #cs.AI #cs.LG #q-bio.QM
- GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models
2024/06/01 by Zicheng Liu, Liu, Zicheng, Jiahui Li +13 · 4 citations
Biochemistry, Genetics and Molecular Biology · #Cancer Genomics and Diagnostics #Gene expression and cancer classification #Genomics and Phylogenetic Studies
- Modeling EEG data distribution with a Wasserstein Generative Adversarial Network to predict RSVP Events
2019/11/11 by Sharaj Panwar, Panwar, Sharaj, Paul Rad +5 · 1 citation
Neuroscience · #Applications (stat.AP) #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #FOS: Electrical engineering #Functional Brain Connectivity Studies #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural dynamics and brain function #electronic engineering #information engineering
- UniIF: Unified Molecule Inverse Folding
2024/05/29 by Zhangyang Gao, Jue Wang, Gao, Zhangyang +13 · 2 citations
Biochemistry, Genetics and Molecular Biology · Materials Science · #Artificial Intelligence (cs.AI) #Chemical Synthesis and Analysis #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM) #Synthesis and properties of polymers
- MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
2024/11/04 by Cheng Tan, Tan, Cheng, Cao, Zhenxiao +14 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Biomolecules (q-bio.BM) #Computational Drug Discovery Methods #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Protein Degradation and Inhibitors
- Leveraging Foundation Models to Improve Lightweight Clients in Federated Learning
2023/11/14 by Xidong Wu, Wu, Xidong, Wan-Yi Lin +11 · 1 citation
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
- Deep EEG Super-Resolution: Upsampling EEG Spatial Resolution with Generative Adversarial Networks
2025/02/12 by Isaac Corley, Corley, Isaac, Yufei Huang +1 · 2 citations
Computer Science · Medicine · Neuroscience · #Advanced MRI Techniques and Applications #Blind Source Separation Techniques #EEG and Brain-Computer Interfaces #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Antecedent configurations toward supply chain resilience: The joint impact of supply chain integration and big data analytics capability
2023/12/17 by Yisa Jiang, Taiwen Feng, Yufei Huang · 1 citation
Business, Management and Accounting · #Quality and Supply Management #Supply Chain Resilience and Risk Management #Sustainable Supply Chain Management
- Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions
2024/03/01 by Rui Sun, Sun, Rui, Lirong Wu +7 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Biomolecules (q-bio.BM) #FOS: Biological sciences #FOS: Computer and information sciences #Gene expression and cancer classification #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Machine Learning in Bioinformatics #Quantitative Methods (q-bio.QM)
- Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
2024/05/16 by Lirong Wu, Yijun Tian, Wu, Lirong +11 · 1 citation
Biochemistry, Genetics and Molecular Biology · #Artificial Intelligence (cs.AI) #Bioinformatics and Genomic Networks #Cell Image Analysis Techniques #FOS: Biological sciences #FOS: Computer and information sciences #Genetics, Bioinformatics, and Biomedical Research #Machine Learning (cs.LG) #Quantitative Methods (q-bio.QM)
- CMoralEval: A Moral Evaluation Benchmark for Chinese Large Language Models
2024/08/19 by Linhao Yu, Yongqi Leng, Yu, Linhao +21 · 1 citation
Computer Science · Social Sciences · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computational and Text Analysis Methods #FOS: Computer and information sciences #Topic Modeling
- GLTW: Joint Improved Graph Transformer and LLM via Three-Word Language for Knowledge Graph Completion
2025/02/17 by Kangyang Luo, Yuzhuo Bai, Luo, Kangyang +24 · 1 citation
Computer Science · #Advanced Graph Neural Networks #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Rough Sets and Fuzzy Logic #Semantic Web and Ontologies
- RxBrain: Embodied Cognition Foundation Model with Joint Language-Visual Reasoning and Imagination
2026/07/15 by Haotian Liang, Mingkang Chen, Yufei Huang +27
#cs.AI #cs.RO