270 citations · 878 across the 64 of their papers we have counts for
7 papers · 1 filter
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks
Lei Zhang, Yuge Zhang, Kan Ren +2
The field of machine learning (ML) has gained widespread adoption, leading to significant demand for adapting ML to specific scenarios, which is yet expensive and non-trivial. The…
Spatial-Temporal Federated Learning for Lifelong Person Re-identification on Distributed Edges
Lei Zhang, Guanyu Gao, Huaizheng Zhang
Data drift is a thorny challenge when deploying person re-identification (ReID) models into real-world devices, where the data distribution is significantly different from that of…
Approximating Discontinuous Nash Equilibrial Values of Two-Player General-Sum Differential Games
Lei Zhang, Mukesh Ghimire, Wenlong Zhang +2
Finding Nash equilibrial policies for two-player differential games requires solving Hamilton-Jacobi-Isaacs (HJI) PDEs. Self-supervised learning has been used to approximate soluti…
Reinforcement Learning for Flexibility Design Problems
Yehua Wei, Lei Zhang, Ruiyi Zhang +3
Flexibility design problems are a class of problems that appear in strategic decision-making across industries, where the objective is to design a (, manufacturing) network t…
Unsupervised Domain Adaptation of Black-Box Source Models
Haojian Zhang, Yabin Zhang, Kui Jia +1
Unsupervised domain adaptation (UDA) aims to learn models for a target domain of unlabeled data by transferring knowledge from a labeled source domain. In the traditional UDA setti…
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Yabin Zhang, Bin Deng, Kui Jia +1
Motivated by the problem relatedness between unsupervised domain adaptation (UDA) and semi-supervised learning (SSL), many state-of-the-art UDA methods adopt SSL principles (e.g.,…
Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem
Yi Zhang, Cheng Zeng, Hao Cheng +2
With the emergence of diverse data collection techniques, objects in real applications can be represented as multi-modal features. What's more, objects may have multiple semantic m…