Huan, Jun
- HLAT: High-quality Large Language Model Pre-trained on AWS Trainium
2024/04/16 by Haozheng Fan, Hao Zhou, Fan, Haozheng +15 · 5 citations
Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Data Quality and Management #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning in Healthcare #Topic Modeling
- Ultrafast Photorealistic Style Transfer via Neural Architecture Search
2019/12/05 by Jie An, Haoyi Xiong, An, Jie +5 · 2 citations
Computer Science · #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Generative Adversarial Networks and Image Synthesis #Image Enhancement Techniques #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
- Semi-Supervised Active Learning with Temporal Output Discrepancy
2021/07/29 by Siyu Huang, Tianyang Wang, Huang, Siyu +7 · 2 citations
Computer Science · Medicine · #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Inference Optimization of Foundation Models on AI Accelerators
2024/07/12 by Youngsuk Park, Park, Youngsuk, Kailash Budhathoki +17 · 4 citations
Engineering · Computer Science · #Reservoir Engineering and Simulation Methods #Advanced Computational Techniques and Applications #Advanced Data Processing Techniques
- Robust Multivariate Time-Series Forecasting: Adversarial Attacks and Defense Mechanisms
2022/07/19 by Liu, Linbo, Park, Youngsuk, Hoang, Trong Nghia +2 · 2 citations
#Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Instance-based Deep Transfer Learning
2018/09/08 by Tianyang Wang, Wang, Tianyang, Jun Huan +3 · 1 citation
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and ELM #Multimodal Machine Learning Applications
- DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks
2019/01/26 by Xingjian Li, Li, Xingjian, Haoyi Xiong +11 · 1 citation
Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM
- Unlocking Efficient, Scalable, and Continual Knowledge Editing with Basis-Level Representation Fine-Tuning
2025/03/01 by T. Liu, Ruirui Li, Liu, Tianci +18 · 5 citations
Computer Science · Engineering · Materials Science · #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Innovative Microfluidic and Catalytic Techniques Innovation #Machine Learning (cs.LG) #Machine Learning in Materials Science
- Quasi-potential as an implicit regularizer for the loss function in the stochastic gradient descent
2019/01/18 by Wenqing Hu, Hu, Wenqing, Zhanxing Zhu +5 · 2 citations
Mathematics · Physics and Astronomy · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Mathematical Biology Tumor Growth #Statistical Mechanics and Entropy
- NormLime: A New Feature Importance Metric for Explaining Deep Neural Networks
2019/09/10 by Isaac Ahern, Adam Noack, Ahern, Isaac +9 · 3 citations
Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- On the Noisy Gradient Descent that Generalizes as SGD
2019/06/18 by Jingfeng Wu, Wenqing Hu, Wu, Jingfeng +9 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- MigrationBench: Repository-Level Code Migration Benchmark from Java 8
2025/05/14 by L.Q. Liu, X. M. Liu, Liu, Linbo +18 · 2 citations
Computer Science · Decision Sciences · #Software Engineering Research #Model-Driven Software Engineering Techniques #Scientific Computing and Data Management