Wenlu Zhang

According to our database, Wenlu Zhang authored at least 29 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

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., March, 2024

Value Prediction for Spatiotemporal Gait Data Using Deep Learning.

Ryan Cavanagh, Jelena Trajkovic, Wenlu Zhang, I-Hung Khoo, Vennila Krishnan

CoRR, 2024

2023

ChainSketch: An Efficient and Accurate Sketch for Heavy Flow Detection.

Jiawei Huang, Wenlu Zhang, Yijun Li, Lin Li, Zhaoyi Li, Jin Ye, Jianxin Wang

IEEE/ACM Trans. Netw., April, 2023

PA-Sketch: A Fast and Accurate Sketch for Differentiated Flow Estimation.

Sitan Li, Jiawei Huang, Wenlu Zhang, Jing Shao

Proceedings of the 31st IEEE International Conference on Network Protocols, 2023

Achieving High Accuracy and Fast Speed for Sketch Compression.

Jin Ye, Yuanchao Shan, Wenlu Zhang, Lin Li, Sitan Li, Jing Shao, Jiawei Huang

Proceedings of the IEEE International Conference on Communications, 2023

CAST: An Intricate-Scene Aware Adaptive Bitrate Approach for Video Streaming via Parallel Training.

Weihe Li, Jiawei Huang, Yu Liang, Jingling Liu, Wenlu Zhang, Wenjun Lyu, Jianxin Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

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

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

UA-Sketch: An Accurate Approach to Detect Heavy Flow based on Uninterrupted Arrival.

Jin Ye, Lin Li, Wenlu Zhang, Guihao Chen, Yuanchao Shan, Yijun Li, Weihe Li, Jiawei Huang

Proceedings of the 51st International Conference on Parallel Processing, 2022

2021

Deep Encoder-Decoder Neural Networks for Retinal Blood Vessels Dense Prediction.

Wenlu Zhang, Lusi Li, Vincent Cheong, Bo Fu, Mehrdad Aliasgari

Int. J. Comput. Intell. Syst., 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

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

Proceedings of the 2021 IEEE PES Innovative Smart Grid Technologies, 2021

2020

Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis.

Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji

IEEE Trans. Big Data, 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

Proceedings of the 19th IEEE International Conference on Trust, 2020

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, Jimmy Chao, Melissa Bittner, Wenlu Zhang, Mehrdad Aliasgari

Proceedings of the Computers Helping People with Special Needs, 2020

2019

Towards Adaptive Ontology Visualization - Predicting User Success from Behavioral Data.

Bo Fu, Ben Steichen, Wenlu Zhang

Int. J. Semantic Comput., 2019

2018

Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code Using Directives.

Wenlu Zhang, Wayne Joubert, Peng Wang, Bei Wang, William Tang, Matthew Niemerg, Lei Shi, Sam Taimourzadeh, Jian Bao, Zhihong Lin

Proceedings of the Accelerator Programming Using Directives - 5th International Workshop, 2018

2016

A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications.

Wenlu Zhang

PhD thesis, 2016

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

Proceedings of the 7th Workshop on Latest Advances in Scalable Algorithms for Large-Scale Systems, 2016

2015

Sparsity Learning Formulations for Mining Time-Varying Data.

Rongjian Li, Wenlu Zhang, Yao Zhao, Zhenfeng Zhu, Shuiwang Ji

IEEE Trans. Knowl. Data Eng., 2015

Deep convolutional neural networks for multi-modality isointense infant brain image segmentation.

Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen

NeuroImage, 2015

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

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

Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis.

Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji

Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

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

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, Shuiwang Ji

BMC Bioinform., 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

Proceedings of the Supercomputing - 28th International Supercomputing Conference, 2013

Evolutionary Soft Co-Clustering.

Shuiwang Ji, Wenlu Zhang, Rui Zhang

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

2012

A sparsity-inducing formulation for evolutionary co-clustering.

Shuiwang Ji, Wenlu Zhang, Jun Liu

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012