Haofeng Zhang

1. Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical Transformer
   2023/09/09 by Yazhou Zhu, Shidong Wang, Zhu, Yazhou +5 · 6 citations
   Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Medical Image Segmentation Techniques
2. Estimate-Then-Optimize versus Integrated-Estimation-Optimization versus Sample Average Approximation: A Stochastic Dominance Perspective
   2023/04/13 by Adam N. Elmachtoub, Elmachtoub, Adam N., Henry Lam +5 · 3 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Forecasting Techniques and Applications #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)
3. Evaluating Aleatoric Uncertainty via Conditional Generative Models
   2022/06/09 by Ziyi Huang, Huang, Ziyi, Henry Lam +3 · 2 citations
   Computer Science · #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Generative Adversarial Networks and Image Synthesis #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Music and Audio Processing
4. Revealing the Proximate Long-Tail Distribution in Compositional Zero-Shot Learning
   2023/12/26 by Chenyi Jiang, Jiang, Chenyi, Haofeng Zhang +1 · 2 citations
   Computer Science · Medicine · #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
5. Partition-A-Medical-Image: Extracting Multiple Representative Sub-regions for Few-shot Medical Image Segmentation
   2023/09/20 by Yazhou Zhu, Zhu, Yazhou, Shidong Wang +6 · 3 citations
   Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Medical Image Segmentation Techniques #Radiomics and Machine Learning in Medical Imaging
6. Quantifying Epistemic Uncertainty in Deep Learning
   2021/10/23 by Ziyi Huang, Henry Lam, Huang, Ziyi +3 · 1 citation
   Computer Science · Physics and Astronomy · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Model Reduction and Neural Networks
7. Hybrid Pipe Dreams for Key Polynomials
   2024/11/03 by Xiao, Yihan, Rui Xiong, Xiong, Rui +2 · 1 citation
   Computer Science · #Combinatorics (math.CO) #FOS: Mathematics #Numerical Methods and Algorithms #Representation Theory (math.RT)
8. RobustEMD: Domain Robust Matching for Cross-domain Few-shot Medical Image Segmentation
   2024/10/01 by Yazhou Zhu, Zhu, Yazhou, Minxian Li +9 · 2 citations
   Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Medical Image Segmentation Techniques
9. Dissecting the Impact of Model Misspecification in Data-driven Optimization
   2025/03/01 by Adam N. Elmachtoub, Elmachtoub, Adam N., Henry Lam +5 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Risk and Portfolio Optimization #Stochastic Gradient Optimization Techniques