Progressive Matching Based On Segmentation for 3D reconstruction. - Yong Zhuang; Ma Ma; Wei Jun; Liu Liu (CIT, 2005)

Effect of depreciation of the public goods in spatial public goods games - Dong-Mei Shi; Yong Zhuang; Bing-Hong Wang (CoRR, 2011)

Non-Linear Models for Confidence Estimation. - Yong Zhuang; Guillaume Wisniewski; François Yvon (WMT@NAACL-HLT, 2012)

A fast parallel SGD for matrix factorization in shared memory systems. - Yong Zhuang; Wei-Sheng Chin; Yu-Chin Juan; Chih-Jen Lin (RecSys, 2013)

Effective string processing and matching for author disambiguation. - Wei-Sheng Chin; Yong Zhuang; Yu-Chin Juan; Felix Wu; Hsiao-Yu Tung; Tong Yu 001; Jui-Pin Wang; Cheng-Xia Chang; Chun-Pai Yang; Wei-Cheng Chang; Kuan-Hao Huang; Tzu-Ming Kuo; et al. (J. Mach. Learn. Res., 2014)

Bond percolation in clustered multilayer networks. - Yong Zhuang; Osman Yagan (ACSSC, 2015)

A Learning-Rate Schedule for Stochastic Gradient Methods to Matrix Factorization. - Wei-Sheng Chin; Yong Zhuang; Yu-Chin Juan; Chih-Jen Lin (PAKDD (1), 2015)

Distributed Newton Methods for Regularized Logistic Regression. - Yong Zhuang; Wei-Sheng Chin; Yu-Chin Juan; Chih-Jen Lin (PAKDD (2), 2015)

Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013. - Chun-Liang Li; Yu-Chuan Su; Ting-Wei Lin; Cheng-Hao Tsai; Wei-Cheng Chang; Kuan-Hao Huang; Tzu-Ming Kuo; Shan-Wei Lin; Young-San Lin; Yu-Chen Lu; Chun-Pai Yang; Cheng-Xia Chang; et al. (J. Mach. Learn. Res., 2015)

A Fast Parallel Stochastic Gradient Method for Matrix Factorization in Shared Memory Systems. - Wei-Sheng Chin; Yong Zhuang; Yu-Chin Juan; Chih-Jen Lin (ACM Trans. Intell. Syst. Technol., 2015)

An evaluation of big data analytics in feature selection for long-lead extreme floods forecasting. - Yong Zhuang; Kui Yu; Dawei Wang 008; Wei Ding 003 (ICNSC, 2016)

Hybridizing Personal and Impersonal Machine Learning Models for Activity Recognition on Mobile Devices. - Tong Yu 001; Yong Zhuang; Ole J. Mengshoel; Osman Yagan (MobiCASE, 2016)

Field-aware Factorization Machines for CTR Prediction. - Yu-Chin Juan; Yong Zhuang; Wei-Sheng Chin; Chih-Jen Lin (RecSys, 2016)

Clustering determines the dynamics of complex contagions in multiplex networks. - Yong Zhuang; Alex Arenas; Osman Yagan (CoRR, 2016)

LIBMF: A Library for Parallel Matrix Factorization in Shared-memory Systems. - Wei-Sheng Chin; Bo-Wen Yuan; Mengyuan Yang; Yong Zhuang; Yu-Chin Juan; Chih-Jen Lin (J. Mach. Learn. Res., 2016)

Information Propagation in Clustered Multilayer Networks. - Yong Zhuang; Osman Yagan (IEEE Trans. Netw. Sci. Eng., 2016)

Crime Hot Spot Forecasting: A Recurrent Model with Spatial and Temporal Information. - Yong Zhuang; Matthew Almeida; Melissa Morabito; Wei Ding 003 (ICBK, 2017)

Naive Parallelization of Coordinate Descent Methods and an Application on Multi-core L1-regularized Classification. - Yong Zhuang; Yu-Chin Juan; Guo-Xun Yuan; Chih-Jen Lin (CIKM, 2018)

Galaxy: Towards Scalable and Interpretable Explanation on High-Dimensional and Spatio-Temporal Correlated Climate Data. - Yong Zhuang; David L. Small; Xin Shu; Kui Yu; Shafiqul Islam; Wei Ding 003 (ICBK, 2018)

Multi-Stage Complex Contagions in Random Multiplex Networks. - Yong Zhuang; Osman Yagan (CoRR, 2018)

On the Evolution of Spreading Processes in Complex Networks. - Rashad Eletreby; Yong Zhuang; Kathleen M. Carley; Osman Yagan (CoRR, 2018)

Influence Propagation with Multiple Stages over Random Multiplex Networks. - Yong Zhuang; Osman Yagan (GLOBECOM, 2019)

A Vector Threshold Model for the Simultaneous Spread of Correlated Influence. - Yong Zhuang; Osman Yagan (ICC, 2019)

Multistage Complex Contagions in Random Multiplex Networks. - Yong Zhuang; Osman Yagan (IEEE Trans. Control. Netw. Syst., 2020)

Federated Natural Language Generation for Personalized Dialogue System. - Yujie Lu; Chao Huang; Huanli Zhan; Yong Zhuang (CoRR, 2021)

Mitigating Class-Boundary Label Uncertainty to Reduce Both Model Bias and Variance. - Matthew Almeida; Yong Zhuang; Wei Ding 003; Scott E. Crouter; Ping Chen 001 (ACM Trans. Knowl. Discov. Data, 2021)

Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning. - Jishnu Ray Chowdhury; Yong Zhuang; Shuyi Wang (AAAI, 2022)

Widening the Time Horizon: Predicting the Long-Term Behavior of Chaotic Systems. - Yong Zhuang; Matthew Almeida; Wei Ding 003; Patrick D. Flynn; Shafiqul Islam; Ping Chen 001 (ICDM, 2022)

Spatial-Temporal Aligned Multi-Agent Learning for Visual Dialog Systems. - Yong Zhuang; Tong Yu 001; Junda Wu; Shiqu Wu; Shuai Li 010 (ACM Multimedia, 2022)

CASTLE: A Cascaded Spatio-Temporal Approach for Long-lead Streamflow Forecasting. - Yong Zhuang; David L. Small; Patrick D. Flynn; Wahid Palash; Shafiqul Islam; Ping Chen 001; Wei Ding 003 (IEEE Big Data, 2023)

Dense Retrieval Adaptation using Target Domain Description. - Helia Hashemi; Yong Zhuang; Sachith Sri Ram Kothur; Srivas Prasad; Edgar Meij; W. Bruce Croft (ICTIR, 2023)

Symbiotic Fusion of Evolving Anatomical Landscapes for Intelligent Diagnostic Narratives. - Hanyue Du; Yong Zhuang; Jingyu Xu 003 (BIBM, 2024)

Adaptive Learning for Medical Image Classification across Domains. - Mingshuo Wang; Yong Zhuang; Jie Deng; Zhenghan Chen (BIBM, 2024)

Deep Learning Models for Diabetic Retinopathy Detection: A Comparative Study. - Munmi Thakuria; Yong Zhuang (IEEE Big Data, 2024)

A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack Against Split Learning. - Xiaoyang Xu 001; Mengda Yang; Wenzhe Yi; Ziang Li; Juan Wang 006; Hongxin Hu; Yong Zhuang; Yaxin Liu (CVPR, 2024)

YOLO-GrapeNet: A Robust Model for Grape Disease Detection. - Yuanhe Dong; Enze Li; Yan Jia; Yong Zhuang (WI/IAT, 2024)

Heterogeneity-oriented ensemble learning for rail monitoring based on vehicle-body vibration. - Yong Zhuang; Rengkui Liu; Yuanjie Tang (Comput. Aided Civ. Infrastructure Eng., 2024)

I know what you MEME! Understanding and Detecting Harmful Memes with Multimodal Large Language Models. - Yong Zhuang; Keyan Guo; Juan Wang 006; Yiheng Jing; Xiaoyang Xu 001; Wenzhe Yi; Mengda Yang; Bo Zhao 023; Hongxin Hu (NDSS, 2025)

Improving Generalization in Deep Neural Networks by Mitigating Memorization. - Yong Zhuang; Tianyu Kang; Zhen Lu; Wei Ding 003; Ping Chen 001 (PAKDD (2), 2025)

Leveraging large language models to examine the interaction between investor sentiment and stock performance. - Yong Zhuang; Feilong Wang; Dickson K. W. Chiu; Kevin K. W. Ho 001 (Eng. Appl. Artif. Intell., 2025)

Short-term prediction of railway track degradation using ensemble deep learning. - Yong Zhuang; Yuanjie Tang; Yingchen Qiu; Rengkui Liu (Comput. Aided Civ. Infrastructure Eng., 2025)