activity
20192026
most citedDirect Estimation of Spinal Cobb Angles by Structured Multi-Output Regression

105 citations · 286 across the 26 of their papers we have counts for

collaborators

22 papers

hep-ex2026

Search for the doubly Cabibbo-suppressed decays and

BESIII Collaboration, M. Ablikim, M. N. Achasov +774

We present the first search for the doubly Cabibbo-suppressed decays and using an collision data sample corresponding to an…

cs.LG2026★ 15 cited

Variational Rectification Inference for Learning with Noisy Labels

Haoliang Sun, Qi Wei, Lei Feng +4

Label noise has been broadly observed in real-world datasets. To mitigate the negative impact of overfitting to label noise for deep models, effective strategies (\textit{e.g.}, re…

hep-ex2023

Observation of decay

M. Ablikim

Using a sample of events collected with the BESIII detector, the decay with subsequently decaying into $γπ^+…

hep-ex2023★ 5 cited

Measurements of the absolute branching fractions of decays and test of the rule

BESIII Collaboration, M. Ablikim, M. N. Achasov +610

Based on a data set of events collected at the BESIII experiment, the absolute branching fractions of the three dominant decays are meas…

hep-ex2023

Search for the semileptonic decays and

BESIII Collaboration, M. Ablikim, M. N. Achasov +611

By analyzing 7.33\,fb of collision data collected at center-of-mass energies between 4.128 and 4.226 GeV with the BESIII detector, we search for the semileptonic de…

hep-ex2023★ 3 cited

A coupled-channel analysis of the lineshape with BESIII data

BESIII Collaboration, M. Ablikim, M. N. Achasov +611

We perform a study of the lineshape using the data samples of , and collected with the BESIII detector. The…

hep-ex2023

Investigation of the rule and test of CP violation through the measurement of decay asymmetry parameters in decays

BESIII Collaboration, M. Ablikim, M. N. Achasov +615

Using events collected with the BESIII detector, numerous and decay asymmetry parameters are simultaneously determined from the process…

hep-ex2023★ 3 cited

Measurement of the cross sections from 2.000 to 3.080 GeV

BESIII Collaboration, M. Ablikim, M. N. Achasov +615

Based on collision data collected at center-of-mass energies from 2.000 to 3.080 GeV by the BESIII detector at the BEPCII collider, a partial wave analysis is performe…

hep-ex2023★ 12 cited

Observation of in the amplitude analysis of

BESIII Collaboration, M. Ablikim, M. N. Achasov +615

We perform for the first time an amplitude analysis of the decay and report the observation of the decay using 2.93 fb$^…

hep-ex2023★ 14 cited

Measurement of the cross section of at center-of-mass energies between 3.510 and 4.843 GeV

BESIII Collaboration, M. Ablikim, M. N. Achasov +610

Using collision data corresponding to a total integrated luminosity of 12.9 collected with the BESIII detector at the BEPCII collider, the exclusive Born cross s…

hep-ex2023

Measurement of cross sections at center-of-mass energies from 3.508 to 4.951 GeV and search for the decay

BESIII Collaboration, M. Ablikim, M. N. Achasov +611

The cross sections of the process at center-of-mass energies from 3.508 to 4.951 GeV are measured with high precision using 26.1 fb data collected with th…

hep-ex2023★ 10 cited

Measurement of the branching fractions of the singly Cabibbo-suppressed decays and

BESIII Collaboration, M. Ablikim, M. N. Achasov +618

Based on 4.5 $\mbox{fb$^{-1}$}$ collision data collected with BESIII detector at seven energy points between 4.600 and 4.699 GeV, the branching fractions for $Λ_{c}^{+…

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.CV2023

MetaViewer: Towards A Unified Multi-View Representation

Ren Wang, Haoliang Sun, Yuling Ma +2

Existing multi-view representation learning methods typically follow a specific-to-uniform pipeline, extracting latent features from each view and then fusing or aligning them to o…

cs.CV2023★ 1 cited

Fine-Grained Classification with Noisy Labels

Qi Wei, Lei Feng, Haoliang Sun +3

Learning with noisy labels (LNL) aims to ensure model generalization given a label-corrupted training set. In this work, we investigate a rarely studied scenario of LNL on fine-gra…

cs.CV2022★ 5 cited

Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization

Qi Wei, Haoliang Sun, Xiankai Lu +1

Sample selection is an effective strategy to mitigate the effect of label noise in robust learning. Typical strategies commonly apply the small-loss criterion to identify clean sam…

cs.LG2021★ 1 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…

cs.CV2021★ 61 cited

Learning Transferable Parameters for Unsupervised Domain Adaptation

Zhongyi Han, Haoliang Sun, Yilong Yin

Unsupervised domain adaptation (UDA) enables a learning machine to adapt from a labeled source domain to an unlabeled domain under the distribution shift. Thanks to the strong repr…

cs.CV2021★ 4 cited

Attentional Prototype Inference for Few-Shot Segmentation

Haoliang Sun, Xiankai Lu, Haochen Wang +4

This paper aims to address few-shot segmentation. While existing prototype-based methods have achieved considerable success, they suffer from uncertainty and ambiguity caused by li…

hep-ex2021★ 11 cited

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.CV2020★ 105 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★ 7 cited

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…