Efficiency comparison of simulated annealing algorithm and Genetic Algorithm in Feature Selection. - Chang Wan (ICNC, 2010)

Test-Cost Sensitive Classification Using Greedy Algorithm on Training Data. - Chang Wan (ISICA (1), 2010)

Test-Cost Sensitive Classification on Data with Missing Values in the Limited Time. - Chang Wan (KES (1), 2010)

Bi-Weighting Domain Adaptation for Cross-Language Text Classification. - Chang Wan; Rong Pan; Jiefei Li (IJCAI, 2011)

Location-sensitive resources recommendation in social tagging systems. - Chang Wan; Ben Kao; David W. Cheung (CIKM, 2012)

Mining multi-faceted data. - Chang Wan (2013)

Who are experts specializing in landscape photography?: analyzing topic-specific authority on content sharing services. - Bin Bi; Ben Kao; Chang Wan; Junghoo Cho (KDD, 2014)

Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks. - Chang Wan; Xiang Li 067; Ben Kao; Xiao Yu 007; Quanquan Gu; David Wai-Lok Cheung; Jiawei Han 001 (CIKM, 2015)

Realization of Dynamic Interface and High Performance Data Retrieval. - Haifeng Jiang; Chang Wan (Comput. Inf. Sci., 2017)

NIAP: A Neighbor Information based Multichannel RFID Reader Anti-collision Protocol. - Zijun Su; Chang Wan; Guannan He; Zhonghua Li (ICIIT, 2022)

Estimation of Soil Organic Carbon Using Vis-NIR Spectral Data and Spectral Feature Bands Selection in Southern Xinjiang, China. - Zijin Bai; Modong Xie; Bifeng Hu; Defang Luo; Chang Wan; Jie Peng 004; Zhou Shi (Sensors, 2022)

Energy of Vague Fuzzy Graph Structure and Its Application in Decision Making. - Shitao Li; Chang Wan; Ali Asghar Talebi 001; Masomeh Mojahedfar (Symmetry, 2022)

Working too much in China's tech industry: corporate social advocacy as a crisis response strategy to issue-based opinion polarization. - Yingru Ji; Chang Wan (Internet Res., 2024)

Label-only model inversion attacks: Adaptive boundary exclusion for limited queries. - Jiayuan Wu; Chang Wan; Hao Chen; Zhonglong Zheng; Yaxin Sun (Neurocomputing, 2025)

A new formulation of Lipschitz constrained with functional gradient learning for GANs. - Chang Wan; Ke Fan; Xinwei Sun 001; Yanwei Fu 001; Minglu Li 001; Yunliang Jiang; Zhonglong Zheng (Mach. Learn., 2025)

Nested Annealed Training Scheme for Generative Adversarial Networks. - Chang Wan; Ming-Hsuan Yang 001; Minglu Li 001; Yunliang Jiang; Zhonglong Zheng (IEEE Trans. Circuits Syst. Video Technol., 2025)

A unified gradient-flow-based GAN framework with diffusion condition guided. - Chang Wan; Yanwei Fu 001; Minglu Li 001; Jungang Lou; Liyuan Chen; Zhonglong Zheng (Pattern Recognit., 2026)