4 citations · 18 across the 9 of their papers we have counts for
9 papers
AdaSelection: Accelerating Deep Learning Training through Data Subsampling
Minghe Zhang, Chaosheng Dong, Jinmiao Fu +8
In this paper, we introduce AdaSelection, an adaptive sub-sampling method to identify the most informative sub-samples within each minibatch to speed up the training of large-scale…
Learning Prototype-oriented Set Representations for Meta-Learning
Dandan Guo, Long Tian, Minghe Zhang +2
Learning from set-structured data is a fundamental problem that has recently attracted increasing attention, where a series of summary networks are introduced to deal with the set…
Solar Radiation Ramping Events Modeling Using Spatio-temporal Point Processes
Minghe Zhang, Chen Xu, Andy Sun +2
Modeling and predicting solar events, particularly the solar ramping event, is critical for improving situational awareness for solar power generation systems. It has been acknowle…
Goodness-of-Fit Test for Mismatched Self-Exciting Processes
Song Wei, Shixiang Zhu, Minghe Zhang +1
Recently there have been many research efforts in developing generative models for self-exciting point processes, partly due to their broad applicability for real-world application…
Distributionally Robust Weighted -Nearest Neighbors
Shixiang Zhu, Liyan Xie, Minghe Zhang +2
Learning a robust classifier from a few samples remains a key challenge in machine learning. A major thrust of research has been focused on developing -nearest neighbor (-NN)…
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling
Shixiang Zhu, Ruyi Ding, Minghe Zhang +2
We present a novel framework for modeling traffic congestion events over road networks. Using multi-modal data by combining count data from traffic sensors with police reports that…
Deep Fourier Kernel for Self-Attentive Point Processes
Shixiang Zhu, Minghe Zhang, Ruyi Ding +1
We present a novel attention-based model for discrete event data to capture complex non-linear temporal dependence structures. We borrow the idea from the attention mechanism and i…
Sequential Adversarial Anomaly Detection for One-Class Event Data
Shixiang Zhu, Henry Shaowu Yuchi, Minghe Zhang +1
We consider the sequential anomaly detection problem in the one-class setting when only the anomalous sequences are available and propose an adversarial sequential detector by solv…
Spectral CUSUM for Online Network Structure Change Detection
Minghe Zhang, Liyan Xie, Yao Xie
Detecting abrupt changes in the community structure of a network from noisy observations is a fundamental problem in statistics and machine learning. This paper presents an online…