Yue Chang

45 papers A* 3A 1B 1C 2Journal 31Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
2D Time-varying functional modeling framework for multi-scale solar irradiance forecasting.
Neural Networks
Chengdong Shi, Wei Zhao, Xiao-Jun Zeng, Ching-Hsun Tseng, Yue Chang
2026 J jnl
A federated learning framework with knowledge graph and temporal transformer for early sepsis prediction in multi-center ICUs.
CoRR
Yue Chang, Guangsen Lin, Jyun Jie Chuang, Shunqi Liu, Xinkui Li, Yaozheng Li
2026 J jnl
Factorized Neural Implicit DMD for Parametric Dynamics.
CoRR
Siyuan Chen, Zhecheng Wang, Yixin Chen, Yue Chang, Peter Yichen Chen, Eitan Grinspun, Jonathan Panuelos
2026 J jnl
Learning Lagrangian Interaction Dynamics with Sampling-Based Model Order Reduction.
Trans. Mach. Learn. Res.
Hrishikesh Viswanath, Yue Chang, Aleksey Panas, Julius Berner, Peter Yichen Chen, Aniket Bera
2026 J jnl
Low-Rank Koopman Deformables with Log-Linear Time Integration.
CoRR
Yue Chang, Peter Yichen Chen, Eitan Grinspun, Maurizio M. Chiaramonte
2026 J jnl
RAG-3DSG: Enhancing 3D Scene Graphs with Re-Shot Guided Retrieval-Augmented Generation.
CoRR
Yue Chang, Rufeng Chen, Zhaofan Zhang, Yi Chen, Sihong Xie
2025 J jnl
A Convex-Inspired Neural Construction for Structured and Generalizable Nonlinear Model Reduction.
CoRR
Shixun Huang, Eitan Grinspun, Yue Chang
2025 J jnl
DFG-DDM: Deep Frequency-Guided Denoising Diffusion Model for Remote Sensing Image Dehazing.
IEEE Trans. Geosci. Remote. Sens.
Junjie Li, Kaichen Chi, Yue Chang, Qi Wang
2025 J jnl
Fast Subspace Fluid Simulation with Temporal-Aware Basis.
CoRR
Siyuan Chen, Yixin Chen, Otman Benchekroun, Jonathan Panuelos, Yue Chang, Eitan Grinspun, Zhecheng Wang
2025 J jnl
Fast Subspace Fluid Simulation with a Temporally-Aware Basis.
ACM Trans. Graph.
Siyuan Chen, Yixin Chen, Jonathan Panuelos, Otman Benchekroun, Yue Chang, Eitan Grinspun, Zhecheng Wang
2025 J jnl
Fine-Grained Semantics-Enhanced Graph Neural Network Model for Person-Job Fit.
Entropy
Xia Xue, Jingwen Wang, Bo Ma, Jing Ren, Wujie Zhang, Shuling Gao, Miao Tian, Yue Chang, Chunhong Wang, Hongyu Wang
2025 J jnl
From dry eye to depression: a machine learning-based framework for predicting adolescent mental health.
BMC Medical Informatics Decis. Mak.
Le Han, Ying Liu, Peng Xian, Xiao Liu, Kai Cao, Li Ren, Yue Chang, Zhangfang Ma, Lei Tian, Shijing Deng, Xuejiao Liu, Yunshuang Liu, Ying Jie
2025 J jnl
IP, limited release and premium consumption: evidence from Generation Z.
Kybernetes
Bing Lei, Yue Chang, Wei Liu, Saihua Shi
2025 J jnl
Industrial Internet of Things Intrusion Detection System Based on Graph Neural Network.
Symmetry
Siqi Yang, Wenqiang Pan, Min Li, Mingyong Yin, Hao Ren, Yue Chang, Yidou Liu, Senyao Zhang, Fang Lou
2025 — conf
Lifting the Winding Number: Precise Discontinuities in Neural Fields for Physics Simulation.
SIGGRAPH (Conference Paper Track)
Yue Chang, Mengfei Liu, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun
2025 J jnl
Lifting the Winding Number: Precise Representation of Complex Cuts in Subspace Physics Simulations.
CoRR
Yue Chang, Mengfei Liu, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun
2025 J jnl
Optimal Unit Scheduling Considering Multi-Scenario Source-Load Uncertainty and Frequency Security.
Algorithms
Xiaodong Yang, Yue Chang, Lun Cheng, Yujing Su, Tao Wang
2025 A* conf
Precise Gradient Discontinuities in Neural Fields for Subspace Physics.
SIGGRAPH Asia
Mengfei Liu, Yue Chang, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun
2025 J jnl
Precise Gradient Discontinuities in Neural Fields for Subspace Physics.
CoRR
Mengfei Liu, Yue Chang, Zhecheng Wang, Peter Yichen Chen, Eitan Grinspun
2025 J jnl
Shape Space Spectra.
ACM Trans. Graph.
Yue Chang, Otman Benchekroun, Maurizio M. Chiaramonte, Peter Yichen Chen, Eitan Grinspun
2025 J jnl
UW-Adapter: Adapting Monocular Depth Estimation Model in Underwater Scenes.
IEEE Trans. Multim.
Xinchen Ye, Yue Chang, Rui Xu, Haojie Li
2024 J jnl
A Dual-Particle Approach for Incompressible SPH Fluids.
ACM Trans. Graph.
Shusen Liu, Xiaowei He, Yuzhong Guo, Yue Chang, Wencheng Wang
2024 A conf
A Novel Divide and Merge Approach for Improved Classification of Functional Data.
BMVC
Wei Zhao, Xiao-Jun Zeng, Chengdong Shi, Ching-Hsun Tseng, Yue Chang
2024 J jnl
A Unified Hallucination Mitigation Framework for Large Vision-Language Models.
CoRR
Yue Chang, Liqiang Jing, Xiaopeng Zhang, Yue Zhang
2024 J jnl
A Unified Hallucination Mitigation Framework for Large Vision-Language Models.
Trans. Mach. Learn. Res.
Yue Chang, Liqiang Jing, Xiaopeng Zhang, Yue Zhang
2024 B conf
Data-Centered Scheme to Enhance Robustness of Deep Learning Model for Traffic Sign Recognition under Adverse Weather.
IJCNN
Yue Chang, Xiao-Jun Zeng, Guowei Wang, Chengdong Shi
2024 — conf
GUCN: A machine learning model combining time series features for malicious network behavior detection.
GAIIS
Yue Chang, Xiaolin Zhao, Mingzhe Pei, Zhenyan Liu
2024 C conf
Generating Hourly 70-M Land Surface Temperature from GOES-R Observations: A Comparison of Statistical Downscaling and Deep Learning Methods.
IGARSS
Yue Chang, Yinxia Cao, Qihao Weng
2024 — conf
Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection.
EMNLP (Findings)
Iqra Zahid, Yue Chang, Tharindu Madusanka, Youcheng Sun, Riza Batista-Navarro
2024 J jnl
Neural Representation of Shape-Dependent Laplacian Eigenfunctions.
CoRR
Yue Chang, Otman Benchekroun, Maurizio M. Chiaramonte, Peter Yichen Chen, Eitan Grinspun
2024 J jnl
Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs.
CoRR
Hrishikesh Viswanath, Yue Chang, Julius Berner, Peter Yichen Chen, Aniket Bera
2023 A* conf
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations.
ICLR
Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G. A. Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin T. Carlberg, Eitan Grinspun
2023 J jnl
Correction for the Attenuation Due to Atmospheric Gas and Stratiform Clouds in Triple-Frequency Radar Observations of the Microphysical Properties of Snowfall.
Remote. Sens.
Yue Chang, Hongbin Chen, Xiaosong Huang, Yongheng Bi, Shu Duan, Pucai Wang, Jie Liu
2023 J jnl
DetAC: Approach to Detect Access Control Vulnerability in Web Application Based on Sitemap Model with Global Information Representation.
Int. J. Softw. Eng. Knowl. Eng.
Jiadong Ren, Mingyou Wu, Bing Zhang, Ke Xu, Shangyang Li, Qian Wang, Yue Chang, Tao Cheng
2023 A* conf
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields.
SIGGRAPH Asia
Yue Chang, Peter Yichen Chen, Zhecheng Wang, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
2023 J jnl
LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields.
CoRR
Yue Chang, Peter Yichen Chen, Zhecheng Wang, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
2022 J jnl
CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations.
CoRR
Peter Yichen Chen, Jinxu Xiang, Dong Heon Cho, Yue Chang, G. A. Pershing, Henrique Teles Maia, Maurizio M. Chiaramonte, Kevin Carlberg, Eitan Grinspun
2021 — conf
A New Correlation Model of IoT Attack Based on Attack Tree.
DASC/PiCom/CBDCom/CyberSciTech
Liu Yu, Kailiang Chen, Yue Chang, A. Chen, Qidi Yin, Hangwei Zhang
2021 J jnl
MASA: An efficient framework for anomaly detection in multi-attributed networks.
Comput. Secur.
Minglai Shao, Jianxin Li, Yue Chang, Jun Zhao, Xunxun Chen
2020 J jnl
Semi-analytical Solid Boundary Conditions for Free Surface Flows.
Comput. Graph. Forum
Yue Chang, Shusen Liu, Xiaowei He, Sheng Li, Guoping Wang
2019 — conf
An Abnormal Login Detection Method Based on Multi-source Log Fusion Analysis.
ICBK
Jing Tao, Waner Wang, Ning Zheng, Ting Han, Yue Chang, Xuna Zhan
2019 J jnl
Automatic construction of target-specific sentiment lexicon.
Expert Syst. Appl.
Sixing Wu, Fangzhao Wu, Yue Chang, Chuhan Wu, Yongfeng Huang
2019 — conf
Dangerous behaviors detection based on deep learning.
AIPR
Yue Chang, Zecheng Du, Jie Sun
2010 — conf
Regional lightning risk assessment based on fuzzy comprehensive evaluation method.
FSKD
Zaihua Guo, Gang Lin, Qiuyan He, Yue Chang, Yande Zhu, Zhigang Wang, Yongsheng Xu, Junfeng Cao
2007 C conf
A Novel Method for Intelligence of Sensors Modeling.
CIS
Yi Hu, Yue Chang, Yong Ni