Yu, Hsiang-Fu

1. Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting
   2019/05/09 by Rajat Sen, Sen, Rajat, Hsiang‐Fu Yu +3 · 13 citations
   Computer Science · Decision Sciences · #FOS: Computer and information sciences #Forecasting Techniques and Applications #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Stock Market Forecasting Methods #Time Series Analysis and Forecasting
2. Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction
   2021/10/29 by Eli Chien, Chien, Eli, Wei-Cheng Chang +11 · 14 citations
   Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Text and Document Classification Technologies #Topic Modeling
3. Large-scale Multi-label Learning with Missing Labels
   2013/07/18 by Hsiang‐Fu Yu, Prateek Jain, Yu, Hsiang-Fu +5 · 12 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification #Text and Document Classification Technologies
4. Learning to Encode Position for Transformer with Continuous Dynamical Model
   2020/03/12 by Xuanqing Liu, Liu, Xuanqing, Hsiang‐Fu Yu +5 · 8 citations
   Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Handwritten Text Recognition Techniques #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
5. PECOS: Prediction for Enormous and Correlated Output Spaces
   2020/10/12 by Hsiang‐Fu Yu, Yu, Hsiang-Fu, Kai Zhong +4 · 5 citations
   Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
6. ELIAS: End-to-End Learning to Index and Search in Large Output Spaces
   2022/10/16 by Gupta, Nilesh, Chen, Patrick H., Yu, Hsiang-Fu +2 · 3 citations
   #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
7. Extreme Multi-label Learning for Semantic Matching in Product Search
   2021/06/23 by Wei-Cheng Chang, Daniel Jiang, Chang, Wei-Cheng +21 · 2 citations
   Computer Science · #Text and Document Classification Technologies #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
8. NOMAD: Non-locking, stOchastic Multi-machine algorithm for Asynchronous and Decentralized matrix completion
   2013/12/01 by Hyokun Yun, Hsiang‐Fu Yu, Yun, Hyokun +7 · 2 citations
   Computer Science · #Blind Source Separation Techniques #Cellular Automata and Applications #Distributed #FOS: Computer and information sciences #Matrix Theory and Algorithms #Parallel #and Cluster Computing (cs.DC)
9. A Scalable Asynchronous Distributed Algorithm for Topic Modeling
   2014/12/16 by Yu, Hsiang-Fu, Hsieh, Cho-Jui, Yun, Hyokun +2 · 1 citation
   #Distributed #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
10. MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering
    2023/10/08 by Chen, Xiusi, Jiang, Jyun-Yu, Chang, Wei-Cheng +3 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
11. Taming Pretrained Transformers for Extreme Multi-label Text Classification
    2019/05/07 by Wei-Cheng Chang, Chang, Wei-Cheng, Hsiang‐Fu Yu +7 · 2 citations
    Computer Science · #Text and Document Classification Technologies #Topic Modeling #Natural Language Processing Techniques
12. PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation
    2023/05/21 by Chien, Eli, Zhang, Jiong, Hsieh, Cho-Jui +4 · 1 citation
    #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Machine Learning (cs.LG)
13. Representer Point Selection for Explaining Regularized High-dimensional Models
    2023/05/31 by Che-Ping Tsai, Jiong Zhang, Tsai, Che-Ping +9 · 1 citation
    Mathematics · Computer Science · #Statistical Methods and Inference #Explainable Artificial Intelligence (XAI) #Machine Learning in Healthcare