activity
20202023
most citedLSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection

16 citations · 21 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CV2023★ 2 cited

A Boosted Model Ensembling Approach to Ball Action Spotting in Videos: The Runner-Up Solution to CVPR'23 SoccerNet Challenge

Luping Wang, Hao Guo, Bin Liu

This technical report presents our solution to Ball Action Spotting in videos. Our method reached second place in the CVPR'23 SoccerNet Challenge. Details of this challenge can be…

cs.CL2022★ 1 cited

NormSAGE: Multi-Lingual Multi-Cultural Norm Discovery from Conversations On-the-Fly

Yi R. Fung, Tuhin Chakraborty, Hao Guo +3

Norm discovery is important for understanding and reasoning about the acceptable behaviors and potential violations in human communication and interactions. We introduce NormSage,…

cs.LG2022

PFGE: Parsimonious Fast Geometric Ensembling of DNNs

Hao Guo, Jiyong Jin, Bin Liu

Ensemble methods are commonly used to enhance the generalization performance of machine learning models. However, they present a challenge in deep learning systems due to the high…

cs.LG2022★ 1 cited

Stochastic Weight Averaging Revisited

Hao Guo, Jiyong Jin, Bin Liu

Averaging neural network weights sampled by a backbone stochastic gradient descent (SGD) is a simple yet effective approach to assist the backbone SGD in finding better optima, in…

cs.CV2021★ 16 cited

LSENet: Location and Seasonality Enhanced Network for Multi-Class Ocean Front Detection

Cui Xie, Hao Guo, Junyu Dong

Ocean fronts can cause the accumulation of nutrients and affect the propagation of underwater sound, so high-precision ocean front detection is of great significance to the marine…

cs.LG2020★ 1 cited

A Hierarchical User Intention-Habit Extract Network for Credit Loan Overdue Risk Detection

Hao Guo, Xintao Ren, Rongrong Wang +3

More personal consumer loan products are emerging in mobile banking APP. For ease of use, application process is always simple, which means that few application information is requ…