activity
20182021
most citedEENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search

24 citations · 33 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2021

Generative Max-Mahalanobis Classifiers for Image Classification, Generation and More

Xiulong Yang, Hui Ye, Yang Ye +2

Joint Energy-based Model (JEM) of Grathwohl et al. shows that a standard softmax classifier can be reinterpreted as an energy-based model (EBM) for the joint distribution p(x,y); t…

cs.LG2020

k-sums: another side of k-means

Wan-Lei Zhao, Run-Qing Chen, Hui Ye +1

In this paper, the decades-old clustering method k-means is revisited. The original distortion minimization model of k-means is addressed by a pure stochastic minimization procedur…

stat.ML2019★ 3 cited

An Adaptive Approach for Anomaly Detector Selection and Fine-Tuning in Time Series

Hui Ye, Xiaopeng Ma, Qingfeng Pan +3

The anomaly detection of time series is a hotspot of time series data mining. The own characteristics of different anomaly detectors determine the abnormal data that they are good…

cs.IR2018★ 24 cited

EENMF: An End-to-End Neural Matching Framework for E-Commerce Sponsored Search

Wenjin Wu, Guojun Liu, Hui Ye +5

E-commerce sponsored search contributes an important part of revenue for the e-commerce company. In consideration of effectiveness and efficiency, a large-scale sponsored search sy…

stat.ML2018★ 6 cited

Visualizing and Understanding Deep Neural Networks in CTR Prediction

Lin Guo, Hui Ye, Wenbo Su +3

Although deep learning techniques have been successfully applied to many tasks, interpreting deep neural network models is still a big challenge to us. Recently, many works have be…