Lei Jiao

1. The Convolutional Tsetlin Machine
   2019/05/23 by Ole‐Christoffer Granmo, Ole-Christoffer Granmo, Granmo, Ole-Christoffer +10 · 1 voice · 7 citations
   Computer Science · #Machine Learning and Algorithms #Machine Learning and Data Classification #Optimization and Search Problems #cs.AI #cs.LG #stat.ML
2. Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
   2016/10/01 by Xu Chen, Lei Jiao, Wenzhong Li +1 · 8 citations
3. Type I IFNs Enhance Susceptibility to Chlamydia muridarum Lung Infection by Enhancing Apoptosis of Local Macrophages
   2008/08/01 by Hongyu Qiu, Yijun Fan, Antony George Joyee +7 · 26 citations
   Immunology and Microbiology · Medicine · #Reproductive tract infections research #Immune Response and Inflammation #Cervical Cancer and HPV Research
4. On the Convergence of Tsetlin Machines for the XOR Operator
   2021/01/07 by Lei Jiao, Xuan Zhang, Jiao, Lei +5 · 4 citations
   Computer Science · Engineering · Immunology and Microbiology · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Optimization and Search Problems #Phagocytosis and Immune Regulation
5. A Queueing Theoretic Perspective on Low-Latency LLM Inference with Variable Token Length
   2024/07/07 by Yuqing Yang, Yang, Yuqing, Yuedong Xu +3 · 3 citations
   Engineering · Computer Science · #Power Systems and Technologies #Algorithms and Data Compression #Advanced Data Storage Technologies
6. Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
   2023/01/19 by K. Darshana Abeyrathna, Abeyrathna, K. Darshana, Ahmed Abdulrahem Othman Abouzeid +19 · 2 citations
   Computer Science · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Ferroelectric and Negative Capacitance Devices #Logic in Computer Science (cs.LO) #Machine Learning (cs.LG) #Metaheuristic Optimization Algorithms Research #Optimization and Search Problems
7. Temperate Fish Detection and Classification: a Deep Learning based\n Approach
   2020/05/14 by Kristian Muri Knausgård, Arne Wiklund, Knausgård, Kristian Muri +11 · 1 citation
   Biochemistry, Genetics and Molecular Biology · Environmental Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Ichthyology and Marine Biology #Identification and Quantification in Food #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #Water Quality Monitoring Technologies #electronic engineering #information engineering
8. Unlocking the potential of deep learning for marine ecology: overview,\n applications, and outlook
   2021/09/29 by Morten Goodwin, Goodwin, Morten, Kim Tallaksen Halvorsen +17 · 1 citation
   Environmental Science · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Coral and Marine Ecosystems Studies #FOS: Computer and information sciences #Machine Learning (cs.LG) #Marine and fisheries research #Marine animal studies overview
9. Unlocking the potential of deep learning for marine ecology: overview, applications, and outlook
   2022/01/14 by Morten Goodwin, Kim Tallaksen Halvorsen, Lei Jiao +7 · 1 citation
10. Single-Atom Indium Boosts Electrochemical Dopamine Sensing
    2023/04/28 by Ruimin Li, Weiwei Guo, Zhijun Zhu +6 · 5 citations
    Engineering · Materials Science · Chemistry · #Electrochemical sensors and biosensors #Advanced Nanomaterials in Catalysis #Electrochemical Analysis and Applications
11. When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework
    2023/05/22 by Xinjing Yuan, Yuan, Xinjing, Lingjun Pu +9 · 1 citation
    Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Networking and Internet Architecture (cs.NI) #Smart Grid Security and Resilience #Software-Defined Networks and 5G