A Novel Method for Intelligence of Sensors Modeling. - Yi Hu; Yue Chang; Yong Ni (CIS, 2007)

Regional lightning risk assessment based on fuzzy comprehensive evaluation method. - Zaihua Guo; Gang Lin; Qiuyan He; Yue Chang; Yande Zhu; Zhigang Wang; Yongsheng Xu; Junfeng Cao (FSKD, 2010)

Tetrahymena Functional Genomics Database (TetraFGD): an integrated resource for Tetrahymena functional genomics. - Jie Xiong; Yuming Lu; Jinmei Feng; Dong-Xia Yuan; Miao Tian; Yue Chang; Chengjie Fu; Guangying Wang; Honghui Zeng; Wei Miao (Database J. Biol. Databases Curation, 2013)

Dangerous behaviors detection based on deep learning. - Yue Chang; Zecheng Du; Jie Sun (AIPR, 2019)

An Abnormal Login Detection Method Based on Multi-source Log Fusion Analysis. - Jing Tao; Waner Wang; Ning Zheng; Ting Han; Yue Chang; Xuna Zhan (ICBK, 2019)

Automatic construction of target-specific sentiment lexicon. - Sixing Wu; Fangzhao Wu; Yue Chang; Chuhan Wu; Yongfeng Huang 001 (Expert Syst. Appl., 2019)

Semi-analytical Solid Boundary Conditions for Free Surface Flows. - Yue Chang; Shusen Liu; Xiaowei He; Sheng Li 008; Guoping Wang (Comput. Graph. Forum, 2020)

A New Correlation Model of IoT Attack Based on Attack Tree. - Liu Yu; Kailiang Chen; Yue Chang; A. Chen; Qidi Yin; Hangwei Zhang (DASC/PiCom/CBDCom/CyberSciTech, 2021)

MASA: An efficient framework for anomaly detection in multi-attributed networks. - Minglai Shao 001; Jianxin Li 002; Yue Chang; Jun Zhao 017; Xunxun Chen (Comput. Secur., 2021)

CROM: Continuous Reduced-Order Modeling of PDEs Using Implicit Neural Representations. - Peter Yichen Chen; Jinxu Xiang; Dong Heon Cho; Yue Chang; G. A. Pershing; Henrique Teles Maia; Maurizio M. Chiaramonte; Kevin T. Carlberg; Eitan Grinspun (ICLR, 2023)

LiCROM: Linear-Subspace Continuous Reduced Order Modeling with Neural Fields. - Yue Chang; Peter Yichen Chen; Zhecheng Wang 001; Maurizio M. Chiaramonte; Kevin Carlberg; Eitan Grinspun (SIGGRAPH Asia, 2023)

DetAC: Approach to Detect Access Control Vulnerability in Web Application Based on Sitemap Model with Global Information Representation. - Jiadong Ren; Mingyou Wu; Bing Zhang 011; Ke Xu; Shangyang Li; Qian Wang 009; Yue Chang; Tao Cheng (Int. J. Softw. Eng. Knowl. Eng., 2023)

Correction for the Attenuation Due to Atmospheric Gas and Stratiform Clouds in Triple-Frequency Radar Observations of the Microphysical Properties of Snowfall. - Yue Chang; Hongbin Chen; Xiaosong Huang; Yongheng Bi; Shu Duan; Pucai Wang; Jie Liu (Remote. Sens., 2023)

A Novel Divide and Merge Approach for Improved Classification of Functional Data. - Wei Zhao; Xiao-Jun Zeng; Chengdong Shi; Ching-Hsun Tseng; Yue Chang (BMVC, 2024)

Multi-Loss Fusion: Angular and Contrastive Integration for Machine-Generated Text Detection. - Iqra Zahid; Yue Chang; Tharindu Madusanka; Youcheng Sun; Riza Batista-Navarro (EMNLP (Findings), 2024)

GUCN: A machine learning model combining time series features for malicious network behavior detection. - Yue Chang; Xiaolin Zhao; Mingzhe Pei; Zhenyan Liu (GAIIS, 2024)

Generating Hourly 70-M Land Surface Temperature from GOES-R Observations: A Comparison of Statistical Downscaling and Deep Learning Methods. - Yue Chang; Yinxia Cao; Qihao Weng (IGARSS, 2024)

Data-Centered Scheme to Enhance Robustness of Deep Learning Model for Traffic Sign Recognition under Adverse Weather. - Yue Chang; Xiao-Jun Zeng; Guowei Wang; Chengdong Shi (IJCNN, 2024)

Reduced-Order Neural Operators: Learning Lagrangian Dynamics on Highly Sparse Graphs. - Hrishikesh Viswanath; Yue Chang; Julius Berner; Peter Yichen Chen; Aniket Bera (CoRR, 2024)

Neural Representation of Shape-Dependent Laplacian Eigenfunctions. - Yue Chang; Otman Benchekroun; Maurizio M. Chiaramonte; Peter Yichen Chen; Eitan Grinspun (CoRR, 2024)

A Unified Hallucination Mitigation Framework for Large Vision-Language Models. - Yue Chang; Liqiang Jing; Xiaopeng Zhang; Yue Zhang (Trans. Mach. Learn. Res., 2024)

A Dual-Particle Approach for Incompressible SPH Fluids. - Shusen Liu; Xiaowei He; Yuzhong Guo; Yue Chang; Wencheng Wang 001 (ACM Trans. Graph., 2024)

DFG-DDM: Deep Frequency-Guided Denoising Diffusion Model for Remote Sensing Image Dehazing. - Junjie Li; Kaichen Chi; Yue Chang; Qi Wang 009 (IEEE Trans. Geosci. Remote. Sens., 2025)

UW-Adapter: Adapting Monocular Depth Estimation Model in Underwater Scenes. - Xinchen Ye; Yue Chang; Rui Xu 002; Haojie Li (IEEE Trans. Multim., 2025)

Lifting the Winding Number: Precise Representation of Complex Cuts in Subspace Physics Simulations. - Yue Chang; Mengfei Liu; Zhecheng Wang 001; Peter Yichen Chen; Eitan Grinspun (CoRR, 2025)

Fast Subspace Fluid Simulation with Temporal-Aware Basis. - Siyuan Chen; Yixin Chen 006; Otman Benchekroun; Jonathan Panuelos; Yue Chang; Eitan Grinspun; Zhecheng Wang 001 (CoRR, 2025)

Precise Gradient Discontinuities in Neural Fields for Subspace Physics. - Mengfei Liu; Yue Chang; Zhecheng Wang 001; Peter Yichen Chen; Eitan Grinspun (CoRR, 2025)

Shape Space Spectra. - Yue Chang; Otman Benchekroun; Maurizio M. Chiaramonte; Peter Yichen Chen; Eitan Grinspun (ACM Trans. Graph., 2025)

Fast Subspace Fluid Simulation with a Temporally-Aware Basis. - Siyuan Chen; Yixin Chen 006; Jonathan Panuelos; Otman Benchekroun; Yue Chang; Eitan Grinspun; Zhecheng Wang 001 (ACM Trans. Graph., 2025)