Bin Gu
- Managing Artificial Intelligence
2021/09/01 by Nicholas Berente, Bin Gu, Jan Recker +1 · 11 citations
Computer Science · Social Sciences · Business, Management and Accounting · #Blockchain Technology Applications and Security #Ethics and Social Impacts of AI #Big Data and Business Intelligence
- Program Translation via Code Distillation
2023/10/17 by Yufan Huang, Huang, Yufan, Mengnan Qi +11 · 4 citations
Computer Science · #Software Engineering Research #Parallel Computing and Optimization Techniques #Advanced Malware Detection Techniques
- Faster On-Device Training Using New Federated Momentum Algorithm
2020/02/06 by Zhouyuan Huo, Qian Yang, Huo, Zhouyuan +4 · 3 citations
Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Mobile Crowdsensing and Crowdsourcing #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Rethinking the Instruction Quality: LIFT is What You Need
2023/12/12 by Yang Xu, Yongqiang Yao, Xu, Yang +11 · 3 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Multimodal Machine Learning Applications
- DevEval: Evaluating Code Generation in Practical Software Projects
2024/01/12 by Jia Li, Ge Li, Li, Jia +31 · 3 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Software Engineering (cs.SE) #Software Engineering Research #Software Engineering Techniques and Practices #Topic Modeling
- Do online reviews matter? — An empirical investigation of panel data
2008/11/01 by Wenjing Duan, Bin Gu, Andrew B. Whinston · 1 citation
- On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network
2022/06/30 by Hongchang Gao, Gao, Hongchang, Bin Gu +3 · 2 citations
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Predicting and Deterring Default with Social Media Information in Peer-to-Peer Lending
2017/04/03 by Ruyi Ge, Juan Feng, Bin Gu +1 · 1 citation
- Decoupled Parallel Backpropagation with Convergence Guarantee
2018/04/27 by Zhouyuan Huo, Huo, Zhouyuan, Bin Gu +5 · 1 citation
Computer Science · #Stochastic Gradient Optimization Techniques #Machine Learning and ELM #Advanced Neural Network Applications
- Federated Doubly Stochastic Kernel Learning for Vertically Partitioned Data
2020/08/14 by Bin Gu, Gu, Bin, Zhiyuan Dang +5 · 1 citation
Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Domain Adaptation and Few-Shot Learning
- FREPA: An Automated and Formal Approach to Requirement Modeling and Analysis in Aircraft Control Domain
2023/06/02 by Jincao Feng, Feng, Jincao, Weikai Miao +19 · 1 citation
Computer Science · #Advanced Software Engineering Methodologies #FOS: Computer and information sciences #Formal Methods in Verification #Model-Driven Software Engineering Techniques #Software Engineering (cs.SE)
- Faster Gradient-Free Proximal Stochastic Methods for Nonconvex Nonsmooth Optimization
2019/02/16 by Feihu Huang, Bin Gu, Huang, Feihu +7 · 1 citation
Computer Science · Engineering · Decision Sciences · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Advanced Bandit Algorithms Research
- Is Next Token Prediction Sufficient for GPT? Exploration on Code Logic Comprehension
2024/04/13 by Mengnan Qi, Qi, Mengnan, Yufan Huang +9 · 1 citation
Computer Science · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification #Programming Languages (cs.PL) #Topic Modeling