Liu, Mingrui
- Robustness to Unbounded Smoothness of Generalized SignSGD
2022/08/23 by Michael Crawshaw, Crawshaw, Michael, Mingrui Liu +7 · 11 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications
- First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max\n Problems
2018/10/24 by Mingrui Liu, Liu, Mingrui, Hassan Rafique +5 · 6 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- Understanding AdamW through Proximal Methods and Scale-Freeness
2022/01/31 by Zhuang, Zhenxun, Liu, Mingrui, Cutkosky, Ashok +1 · 6 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
2024/10/26 by Mingrui Liu, Liu, Mingrui, Sixiao Zhang +3 · 9 citations
Computer Science · #Artificial Intelligence (cs.AI) #Cryptography and Security (cs.CR) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Privacy-Preserving Technologies in Data #Topic Modeling
- Stochastic AUC Maximization with Deep Neural Networks
2019/08/28 by Liu, Mingrui, Yuan, Zhuoning, Ying, Yiming +1 · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- Towards Better Understanding of Adaptive Gradient Algorithms in\n Generative Adversarial Nets
2019/12/26 by Mingrui Liu, Youssef Mroueh, Liu, Mingrui +11 · 4 citations
Computer Science · Engineering · #Advanced Image Processing Techniques #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Generative Adversarial Networks and Image Synthesis #Human Pose and Action Recognition #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- A Communication-Efficient Distributed Gradient Clipping Algorithm for Training Deep Neural Networks
2022/05/10 by Mingrui Liu, Zhenxun Zhuang, Liu, Mingrui +5 · 2 citations
Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Sparse and Compressive Sensing Techniques #Privacy-Preserving Technologies in Data
- Will Bilevel Optimizers Benefit from Loops
2022/05/27 by Ji, Kaiyi, Liu, Mingrui, Liang, Yingbin +1 · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC)
- IntLIM: Integration using Linear Models of metabolomics and gene expression data
2018/02/28 by Siddiqui, Jalal K., Baskin, Elizabeth, Liu, Mingrui +6 · 1 citation
#FOS: Biological sciences #Genomics (q-bio.GN) #Quantitative Methods (q-bio.QM)
- Fast Rates of ERM and Stochastic Approximation: Adaptive to Error Bound Conditions
2018/05/11 by Liu, Mingrui, Zhang, Xiaoxuan, Zhang, Lijun +2 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
- The Cop Number of Graphs with Forbidden Induced Subgraphs
2019/08/29 by Liu, Mingrui · 1 citation
#05C57 #Combinatorics (math.CO) #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #FOS: Mathematics
- A Decentralized Parallel Algorithm for Training Generative Adversarial Nets
2019/10/28 by Liu, Mingrui, Zhang, Wei, Mroueh, Youssef +4 · 1 citation
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Adam+: A Stochastic Method with Adaptive Variance Reduction
2020/11/24 by Mingrui Liu, Liu, Mingrui, Wei Zhang +5 · 1 citation
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Neural Networks and Applications #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- An Accelerated Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
2024/09/28 by Xiaochuan Gong, Gong, Xiaochuan, Jie Hao +3 · 4 citations
Decision Sciences · Economics, Econometrics and Finance · #FOS: Computer and information sciences #FOS: Mathematics #Housing Market and Economics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Risk and Portfolio Optimization #Stochastic processes and financial applications
- Personalized Federated Fine-tuning for Heterogeneous Data: An Automatic Rank Learning Approach via Two-Level LoRA
2025/03/05 by Jie Hao, Yiping Wu, Hao, Jie +7 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Stochastic Gradient Optimization Techniques #Machine Learning and Data Classification
- On Inferring User Socioeconomic Status with Mobility Records
2022/11/15 by Zheng Wang, Wang, Zheng, Mingrui Liu +9 · 1 citation
Computer Science · Medicine · Social Sciences · #Artificial Intelligence (cs.AI) #Data-Driven Disease Surveillance #FOS: Computer and information sciences #Human Mobility and Location-Based Analysis #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data
- EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data
2023/02/14 by Michael Crawshaw, Yajie Bao, Crawshaw, Michael +3 · 1 citation
Computer Science · #Stochastic Gradient Optimization Techniques #Privacy-Preserving Technologies in Data #Domain Adaptation and Few-Shot Learning
- Bilevel Optimization under Unbounded Smoothness: A New Algorithm and Convergence Analysis
2024/01/17 by Jie Hao, Hao, Jie, Xiaochuan Gong +3 · 3 citations
Computer Science · #Stochastic Gradient Optimization Techniques #Advanced Neural Network Applications #Machine Learning and ELM
- An Exploration of Non-Euclidean Gradient Descent: Muon and its Many Variants
2025/10/10 by Michael Crawshaw, Chirag Modi, Crawshaw, Michael +5 · 1 voice · 5 citations
#cs.LG #stat.ML
- Magnetic Fields and Velocity Gradients in L1551: The Role of Stellar Feedback
2023/09/08 by Mingrui Liu, Liu, Mingrui, Yue Hu +3 · 1 citation
Physics and Astronomy · #Astronomy and Astrophysical Research #Astrophysics of Galaxies (astro-ph.GA) #FOS: Physical sciences #Solar and Space Plasma Dynamics #Stellar, planetary, and galactic studies
- LESS-Map: Lightweight and Evolving Semantic Map in Parking Lots for Long-term Self-Localization
2023/10/11 by Liu, Mingrui, Tang, Xinyang, Qian, Yeqiang +2 · 1 citation
#FOS: Computer and information sciences #Robotics (cs.RO)
- A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
2024/12/28 by Gong, Xiaochuan, Hao, Jie, Liu, Mingrui · 3 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)
- Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis
2024/10/30 by Crawshaw, Michael, Liu, Mingrui · 1 citation
#Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- Modality-Inconsistent Continual Learning of Multimodal Large Language Models
2024/12/17 by Weiguo Pian, Shijian Deng, Pian, Weiguo +8 · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Audio and Speech Processing (eess.AS) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Natural Language Processing Techniques #Sound (cs.SD) #Speech Recognition and Synthesis #Topic Modeling #electronic engineering #information engineering
- Facet-Aware Multi-Head Mixture-of-Experts Model for Sequential Recommendation
2024/11/03 by Mingrui Liu, Sixiao Zhang, Liu, Mingrui +3 · 1 citation
Computer Science · #Expert finding and Q&A systems #Recommender Systems and Techniques #Mobile Crowdsensing and Crowdsourcing
- Minibatch and Local SGD: Algorithmic Stability and Linear Speedup in Generalization
2023/10/02 by Lei, Yunwen, Sun, Tao, Liu, Mingrui · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Complexity Lower Bounds of Adaptive Gradient Algorithms for Non-convex Stochastic Optimization under Relaxed Smoothness
2025/05/07 by Crawshaw, Michael, Liu, Mingrui · 2 citations
#FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC)