A sparsity-inducing formulation for evolutionary co-clustering. - Shuiwang Ji; Wenlu Zhang; Jun Liu 003 (KDD, 2012)

Evolutionary Soft Co-Clustering. - Shuiwang Ji; Wenlu Zhang; Rui Zhang (SDM, 2013)

Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code and Large-Scale Performance Test on TH-1A. - Xiangfei Meng; Xiaoqian Zhu; Peng Wang; Yang Zhao; Xin Liu; Bao Zhang; Yong Xiao; Wenlu Zhang; Zhihong Lin (ISC, 2013)

A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis. - Wenlu Zhang; Daming Feng; Rongjian Li; Andrey N. Chernikov; Nikos Chrisochoides; Christopher Osgood; Charlotte Konikoff; Stuart J. Newfeld; Sudhir Kumar 001; Shuiwang Ji (BMC Bioinform., 2013)

A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas. - Shuiwang Ji; Wenlu Zhang; Rongjian Li (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. - Rongjian Li; Wenlu Zhang; Heung-Il Suk; Li Wang 026; Jiang Li 001; Dinggang Shen; Shuiwang Ji (MICCAI (3), 2014)

Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns. - Rongjian Li; Wenlu Zhang; Shuiwang Ji (BMC Bioinform., 2014)

Evolutionary soft co-clustering: formulations, algorithms, and applications. - Wenlu Zhang; Rongjian Li; Daming Feng; Andrey N. Chernikov; Nikos Chrisochoides; Christopher Osgood; Shuiwang Ji (Data Min. Knowl. Discov., 2015)

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. - Wenlu Zhang; Rongjian Li; Houtao Deng; Li Wang 026; Weili Lin; Shuiwang Ji; Dinggang Shen (NeuroImage, 2015)

Sparsity Learning Formulations for Mining Time-Varying Data. - Rongjian Li; Wenlu Zhang; Yao Zhao 001; Zhenfeng Zhu; Shuiwang Ji (IEEE Trans. Knowl. Data Eng., 2015)

The Gyrokinetic Particle Simulation of Fusion Plasmas on Tianhe-2 Supercomputer. - Endong Wang; Shaohua Wu; Qing Zhang; Jun Liu; Wenlu Zhang; Zhihong Lin; Yutong Lu; Yunfei Du; Xiaoqian Zhu (ScalA@SC, 2016)

A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications. - Wenlu Zhang (2016)

Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code Using Directives. - Wenlu Zhang; Wayne Joubert; Peng Wang; Bei Wang 002; William Tang 002; Matthew Niemerg; Lei Shi; Sam Taimourzadeh; Jian Bao; Zhihong Lin (WACCPD@SC, 2018)

Towards Adaptive Ontology Visualization - Predicting User Success from Behavioral Data. - Bo Fu 005; Ben Steichen; Wenlu Zhang (Int. J. Semantic Comput., 2019)

Improving Fitness Levels of Individuals with Autism Spectrum Disorder: A Preliminary Evaluation of Real-Time Interactive Heart Rate Visualization to Motivate Engagement in Physical Activity. - Bo Fu 005; Jimmy Chao; Melissa Bittner; Wenlu Zhang; Mehrdad Aliasgari (ICCHP (2), 2020)

An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems. - Taejun Choi; Guangdong Bai; Ryan K. L. Ko; Naipeng Dong; Wenlu Zhang; Shunyao Wang (TrustCom, 2020)

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. - Wenlu Zhang; Rongjian Li; Tao Zeng; Qian Sun 002; Sudhir Kumar 001; Jieping Ye; Shuiwang Ji (IEEE Trans. Big Data, 2020)

Plan2Defend: AI Planning for Cybersecurity in Smart Grids. - Taejun Choi; Ryan K. L. Ko; Tapan Kumar Saha; Joshua D. Scarsbrook; Abigail M. Y. Koay; Shunyao Wang; Wenlu Zhang; Connor St Clair (ISGT Asia, 2021)

DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool. - Samson Ho; Wenlu Zhang; Wesley Young; Matthew Buchholz; Saleh A. Al-Jufout; Khalil Dajani; Linkan Bian; Mohammad Mozumdar (IEEE Access, 2021)

Deep Encoder-Decoder Neural Networks for Retinal Blood Vessels Dense Prediction. - Wenlu Zhang; Lusi Li; Vincent Cheong; Bo Fu 005; Mehrdad Aliasgari (Int. J. Comput. Intell. Syst., 2021)

UA-Sketch: An Accurate Approach to Detect Heavy Flow based on Uninterrupted Arrival. - Jin Ye 003; Lin Li; Wenlu Zhang; Guihao Chen; Yuanchao Shan; Yijun Li 002; Weihe Li; Jiawei Huang 001 (ICPP, 2022)

Prediction Modeling for Application-Specific Communication Architecture Design of Optical NoC. - Jelena Trajkovic; Sara Karimi; Samantha Hangsan; Wenlu Zhang (ACM Trans. Embed. Comput. Syst., 2022)

Sensitivity-Enhanced Fiber-Optic Sensor Based on a Drilled PDMS Diaphragm for Ultrasound Imaging of Seismic Physical Model. - Wenwen Ma; Zhihua Shao; Wenlu Zhang; Xueguang Qiao (IEEE Trans. Instrum. Meas., 2022)

CAST: An Intricate-Scene Aware Adaptive Bitrate Approach for Video Streaming via Parallel Training. - Weihe Li; Jiawei Huang 001; Yu Liang; Jingling Liu; Wenlu Zhang; Wenjun Lyu; Jianxin Wang 001 (ICA3PP (4), 2023)

Achieving High Accuracy and Fast Speed for Sketch Compression. - Jin Ye 003; Yuanchao Shan; Wenlu Zhang; Lin Li; Sitan Li; Jing Shao; Jiawei Huang 001 (ICC, 2023)

PA-Sketch: A Fast and Accurate Sketch for Differentiated Flow Estimation. - Sitan Li; Jiawei Huang 001; Wenlu Zhang; Jing Shao (ICNP, 2023)

ChainSketch: An Efficient and Accurate Sketch for Heavy Flow Detection. - Jiawei Huang 001; Wenlu Zhang; Yijun Li 002; Lin Li; Zhaoyi Li; Jin Ye 003; Jianxin Wang 001 (IEEE/ACM Trans. Netw., 2023)

D2T: Dynamic Dual Threshold Policy of Shared-Memory in Data Center Switches. - Jiawei Huang 001; Hui Li; Zhaoyi Li; Zihao Chen; Jingling Liu; Jing Shao; Wenlu Zhang; Yijun Li 002; Sitan Li; Shengwen Zhou; Ping Zhong 002; Jianxin Wang 001; et al. (ICDCS, 2024)

Value Prediction for Spatiotemporal Gait Data Using Deep Learning. - Ryan Cavanagh; Jelena Trajkovic; Wenlu Zhang; I-Hung Khoo; Vennila Krishnan (CoRR, 2024)

Influence of Cyclic Pneumatic Brake on the Longitudinal Dynamics of Heavy-Haul Combined Trains. - Wenlu Zhang; Wei Li; Yue Fan; Yue Cao (IEEE Trans. Intell. Transp. Syst., 2024)

Intelligent Data Refinement and Analysis of Real-World Cyber Attacks on SCADA Systems. - Wenlu Zhang; Naipeng Dong; Taejun Choi; Guangdong Bai; Ryan K. L. Ko (e-Energy, 2025)