activity
20102026
most citedUnderstanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

75 citations · 224 across the 29 of their papers we have counts for

collaborators

30 papers

cs.CV2026

Enhancing Train-Free Infinite-Frame Generation for Consistent Long Videos

X. Feng, J. Zhu, M. Wu +6

Without incurring significant computational overhead, train-free long video generation aims to enable foundation video generation models to produce longer videos. Frame-level autor…

astro-ph.HE2026

Search for Light-Mass Fractionally Charged Particles in Space with DAMPE Experiment

F. Alemanno, Q. An, P. Azzarello +144

Free Fractionally Charged Particles (FCPs) are predicted by some theories beyond or extended to the standard model. FCPs have been widely searched for by underground and space-base…

hep-ex2025

Study of and in the decay

BESIII Collaboration, M. Ablikim, M. N. Achasov +666

We perform an amplitude analysis of the decay and measure its absolute branching fraction to be $(1.016 \pm 0.013_{\text {stat.}} \pm 0.014_{\text {syst.}})\%…

nucl-ex2025

Identified charged hadron production in Au+Au collisions at = 54.4 GeV with the STAR detector

STAR Collaboration, B. E. Aboona, J. Adam +360

We present results on the production of , , , and in Au+Au collisions at = 54.4~GeV using the STAR detector at RHIC, at midrap…

nucl-ex2025★ 3 cited

Observation of charmonium sequential suppression in heavy-ion collisions at the Relativistic Heavy Ion Collider

STAR Collaboration, B. E. Aboona, J. Adam +370

We report measurements of charmonium sequential suppression in Ru+Ru and Zr+Zr collisions at = 200 GeV with the STAR experiment at the Relativistic Heavy…

hep-ex2025

Measurement of Born Cross Sections and Effective Form Factors of from = 3.7 to 4.7 GeV

BESIII Collaboration, M. Ablikim, M. N. Achasov +635

Using collision data corresponding to an integrated luminosity of 22.7 fb, collected at center-of-mass energies between 3.7 and 4.7 GeV with the BESIII detector at…

hep-ex2025★ 2 cited

Measurement of the branching fractions of the Cabibbo-favored decays and and search for

BESIII Collaboration, M. Ablikim, M. N. Achasov +664

Based on collision data corresponding to an integrated luminosity of about 4.5 fb collected at center-of-mass energies between 4599.53 MeV and 4698.82 MeV with…

cs.CV2025

A Unit Enhancement and Guidance Framework for Audio-Driven Avatar Video Generation

S. Z. Zhou, Y. B. Wang, J. F. Wu +2

Audio-driven human animation technology is widely used in human-computer interaction, and the emergence of diffusion models has further advanced its development. Currently, most me…

hep-ex2025

Study of and in the decay

BESIII Collaboration, M. Ablikim, M. N. Achasov +652

A partial-wave analysis is performed on the decay within the invariant-mass region below 1.6 GeV, using $(10.09~\pm~0.04)\times10…

hep-ex2025★ 7 cited

Test of local realism via entangled system

BESIII Collaboration, M. Ablikim, M. N. Achasov +608

The non-locality of quantum correlations is a fundamental feature of quantum theory. The Bell inequality serves as a benchmark for distinguishing between predictions made by quantu…

hep-ex2025

Measurement of branching fractions of decays to and

BESIII Collaboration, M. Ablikim, M. N. Achasov +650

By analyzing collision data taken at center-of-mass energies between 4.600 and 4.699 GeV with the BESIII detector at the BEPCII collider, corresponding to an in…

hep-ex2025★ 1 cited

Partial Wave Analysis of and Cross Section Measurement of from 4.1271 to 4.3583 GeV

BESIII Collaboration, M. Ablikim, M. N. Achasov +645

Based on 12.0 of collision data samples collected by the BESIII detector at center-of-mass energies from 4.1271 to 4.3583 GeV, a partial wave analys…

hep-ex2025

Measurement of the phase between strong and electromagnetic amplitudes in the decay

BESIII Collaboration, M. Ablikim, M. N. Achasov +652

The first direct measurement of the relative phase between the strong and electromagnetic amplitudes for a decaying into a vector-pseudoscalar final state is performed using…

hep-ex2025

Observation of resonant contribution to the around 4.2 GeV and evidence of

BESIII Collaboration, M. Ablikim, M. N. Achasov +635

Using collision data corresponding to a total integrated luminosity of 22.7 fb, collected at center-of-mass energies between 3.7 and 4.7 GeV with the BESIII detecto…

hep-ex2024

Search for nonleptonic hyperon decays and

BESIII Collaboration, M. Ablikim, M. N. Achasov +644

Using events collected by the BESIII detector at the center-of-mass energy of GeV, we search for the first time for tw…

physics.geo-ph2021★ 2 cited

Construction of Attenuation Relationship of Peak Ground Velocity Using Machine Learning and Examination of Station Correction Factor

Junjie Wu, Yoshihisa Maruyama, Wen Liu

This study tries to develop new attenuation relationships of peak ground velocity using machine learning methods; random forest and neural network. In order to compare with the pre…

hep-ex2020★ 26 cited

Measurement of the Born cross sections for at center-of-mass energies between and GeV

BESIII Collaboration, M. Ablikim, M. N. Achasov +487

The Born cross sections for the process at different center-of-mass energies between and GeV are reported with improved precision fro…

cs.IR2019★ 1 cited

Recommendation with Attribute-aware Product Networks: A Representation Learning Model

Guannan Liu, Liang Zhang, Junjie Wu +1

With the prosperity of business intelligence, recommender systems have evolved into a new stage that we not only care about what to recommend, but why it is recommended. Explainabi…

cs.LG2019★ 75 cited

Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization

Jingyuan Wang, Junjie Wu, Ze Wang +2

Recent years have witnessed the world-wide emergence of mega-metropolises with incredibly huge populations. Understanding residents mobility patterns, or urban dynamics, thus becom…

cs.LG2019★ 1 cited

SVM-based Deep Stacking Networks

Jingyuan Wang, Kai Feng, Junjie Wu

The deep network model, with the majority built on neural networks, has been proved to be a powerful framework to represent complex data for high performance machine learning. In r…

cs.SI2018

Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention

Jingyuan Wang, Xiaojian Wang, Junjie Wu

Since the 21st century, the global outbreaks of infectious diseases such as SARS in 2003, H1N1 in 2009, and H7N9 in 2013, have become the critical threat to the public health and a…

cs.LG2018★ 7 cited

Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis

Jingyuan Wang, Ze Wang, Jianfeng Li +1

Recent years have witnessed the unprecedented rising of time series from almost all kindes of academic and industrial fields. Various types of deep neural network models have been…

cs.SI2018★ 12 cited

Social Media Would Not Lie: Prediction of the 2016 Taiwan Election via Online Heterogeneous Data

Zheng Xie, Guannan Liu, Junjie Wu +1

The prevalence of online media has attracted researchers from various domains to explore human behavior and make interesting predictions. In this research, we leverage heterogeneou…

cs.CY2018★ 3 cited

CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition

Jingyuan Wang, Xu He, Ze Wang +4

Driven by the wave of urbanization in recent decades, the research topic about migrant behavior analysis draws great attention from both academia and the government. Nevertheless,…