activity
20192023
most citedDirect Estimation of Spinal Cobb Angles by Structured Multi-Output Regression

105 citations · 106 across the 3 of their papers we have counts for

collaborators

5 papers

cs.LG2023

Improving Generalization in Meta-Learning via Meta-Gradient Augmentation

Ren Wang, Haoliang Sun, Qi Wei +3

Meta-learning methods typically follow a two-loop framework, where each loop potentially suffers from notorious overfitting, hindering rapid adaptation and generalization to new ta…

cs.LG20211 cited

Learning to Rectify for Robust Learning with Noisy Labels

Haoliang Sun, Chenhui Guo, Qi Wei +2

Label noise significantly degrades the generalization ability of deep models in applications. Effective strategies and approaches, \textit{e.g.} re-weighting, or loss correction, a…

hep-ex2021

Search for the rare semi-leptonic decay

BESIII Collaboration, M. Ablikim, M. N. Achasov +503

Using events produced by the Beijing Electron Positron Collider (BEPCII) at a center-of-mass energy and collected with the BESIII…

cs.CV2020105 cited

Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression

Haoliang Sun, Xiantong Zhen, Chris Bailey +3

The Cobb angle that quantitatively evaluates the spinal curvature plays an important role in the scoliosis diagnosis and treatment. Conventional measurement of these angles suffers…

eess.IV2019

DUAL-GLOW: Conditional Flow-Based Generative Model for Modality Transfer

Haoliang Sun, Ronak Mehta, Hao H. Zhou +4

Positron emission tomography (PET) imaging is an imaging modality for diagnosing a number of neurological diseases. In contrast to Magnetic Resonance Imaging (MRI), PET is costly a…