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Wenlu Zhang
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2020 – today
- 2024
- [j14]Wenlu Zhang, Wei Li, Yue Fan, Yue Cao:
Influence of Cyclic Pneumatic Brake on the Longitudinal Dynamics of Heavy-Haul Combined Trains. IEEE Trans. Intell. Transp. Syst. 25(3): 2545-2557 (2024) - [c15]Jiawei Huang, Hui Li, Zhaoyi Li, Zihao Chen, Jingling Liu, Jing Shao, Wenlu Zhang, Yijun Li, Sitan Li, Shengwen Zhou, Ping Zhong, Jianxin Wang, Wanchun Jiang, Yong Cui:
D2T: Dynamic Dual Threshold Policy of Shared-Memory in Data Center Switches. ICDCS 2024: 427-437 - [i2]Ryan Cavanagh, Jelena Trajkovic, Wenlu Zhang, I-Hung Khoo, Vennila Krishnan:
Value Prediction for Spatiotemporal Gait Data Using Deep Learning. CoRR abs/2403.07926 (2024) - 2023
- [j13]Jiawei Huang, Wenlu Zhang, Yijun Li, Lin Li, Zhaoyi Li, Jin Ye, Jianxin Wang:
ChainSketch: An Efficient and Accurate Sketch for Heavy Flow Detection. IEEE/ACM Trans. Netw. 31(2): 738-753 (2023) - [c14]Weihe Li, Jiawei Huang, Yu Liang, Jingling Liu, Wenlu Zhang, Wenjun Lyu, Jianxin Wang:
CAST: An Intricate-Scene Aware Adaptive Bitrate Approach for Video Streaming via Parallel Training. ICA3PP (4) 2023: 131-147 - [c13]Jin Ye, Yuanchao Shan, Wenlu Zhang, Lin Li, Sitan Li, Jing Shao, Jiawei Huang:
Achieving High Accuracy and Fast Speed for Sketch Compression. ICC 2023: 6072-6077 - [c12]Sitan Li, Jiawei Huang, Wenlu Zhang, Jing Shao:
PA-Sketch: A Fast and Accurate Sketch for Differentiated Flow Estimation. ICNP 2023: 1-11 - 2022
- [j12]Jelena Trajkovic, Sara Karimi, Samantha Hangsan, Wenlu Zhang:
Prediction Modeling for Application-Specific Communication Architecture Design of Optical NoC. ACM Trans. Embed. Comput. Syst. 21(4): 35:1-35:29 (2022) - [j11]Wenwen Ma, Zhihua Shao, Wenlu Zhang, Xueguang Qiao:
Sensitivity-Enhanced Fiber-Optic Sensor Based on a Drilled PDMS Diaphragm for Ultrasound Imaging of Seismic Physical Model. IEEE Trans. Instrum. Meas. 71: 1-6 (2022) - [c11]Jin Ye, Lin Li, Wenlu Zhang, Guihao Chen, Yuanchao Shan, Yijun Li, Weihe Li, Jiawei Huang:
UA-Sketch: An Accurate Approach to Detect Heavy Flow based on Uninterrupted Arrival. ICPP 2022: 57:1-57:11 - 2021
- [j10]Samson Ho, Wenlu Zhang, Wesley Young, Matthew Buchholz, Saleh A. Al-Jufout, Khalil Dajani, Linkan Bian, Mohammad Mozumdar:
DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool. IEEE Access 9: 115100-115114 (2021) - [j9]Wenlu Zhang, Lusi Li, Vincent Cheong, Bo Fu, Mehrdad Aliasgari:
Deep Encoder-Decoder Neural Networks for Retinal Blood Vessels Dense Prediction. Int. J. Comput. Intell. Syst. 14(1): 1078-1086 (2021) - [c10]Taejun Choi, Ryan K. L. Ko, Tapan Kumar Saha, Joshua D. Scarsbrook, Abigail M. Y. Koay, Shunyao Wang, Wenlu Zhang, Connor St Clair:
Plan2Defend: AI Planning for Cybersecurity in Smart Grids. ISGT Asia 2021: 1-5 - [i1]Taejun Choi, Guangdong Bai, Ryan K. L. Ko, Naipeng Dong, Wenlu Zhang, Shunyao Wang:
An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems. CoRR abs/2101.11866 (2021) - 2020
- [j8]Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji:
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. IEEE Trans. Big Data 6(2): 322-333 (2020) - [c9]Bo Fu, Jimmy Chao, Melissa Bittner, Wenlu Zhang, Mehrdad Aliasgari:
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. ICCHP (2) 2020: 81-89 - [c8]Taejun Choi, Guangdong Bai, Ryan K. L. Ko, Naipeng Dong, Wenlu Zhang, Shunyao Wang:
An Analytics Framework for Heuristic Inference Attacks against Industrial Control Systems. TrustCom 2020: 827-835
2010 – 2019
- 2019
- [j7]Bo Fu, Ben Steichen, Wenlu Zhang:
Towards Adaptive Ontology Visualization - Predicting User Success from Behavioral Data. Int. J. Semantic Comput. 13(4): 431-452 (2019) - 2018
- [c7]Wenlu Zhang, Wayne Joubert, Peng Wang, Bei Wang, William Tang, Matthew Niemerg, Lei Shi, Sam Taimourzadeh, Jian Bao, Zhihong Lin:
Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code Using Directives. WACCPD@SC 2018: 3-21 - 2016
- [b1]Wenlu Zhang:
A Computational Framework for Learning from Complex Data: Formulations, Algorithms, and Applications. Old Dominion University, Norfolk, Virginia, USA, 2016 - [c6]Endong Wang, Shaohua Wu, Qing Zhang, Jun Liu, Wenlu Zhang, Zhihong Lin, Yutong Lu, Yunfei Du, Xiaoqian Zhu:
The Gyrokinetic Particle Simulation of Fusion Plasmas on Tianhe-2 Supercomputer. ScalA@SC 2016: 25-32 - 2015
- [j6]Wenlu Zhang, Rongjian Li, Daming Feng, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Shuiwang Ji:
Evolutionary soft co-clustering: formulations, algorithms, and applications. Data Min. Knowl. Discov. 29(3): 765-791 (2015) - [j5]Wenlu Zhang, Rongjian Li, Houtao Deng, Li Wang, Weili Lin, Shuiwang Ji, Dinggang Shen:
Deep convolutional neural networks for multi-modality isointense infant brain image segmentation. NeuroImage 108: 214-224 (2015) - [j4]Rongjian Li, Wenlu Zhang, Yao Zhao, Zhenfeng Zhu, Shuiwang Ji:
Sparsity Learning Formulations for Mining Time-Varying Data. IEEE Trans. Knowl. Data Eng. 27(5): 1411-1423 (2015) - [c5]Wenlu Zhang, Rongjian Li, Tao Zeng, Qian Sun, Sudhir Kumar, Jieping Ye, Shuiwang Ji:
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis. KDD 2015: 1475-1484 - 2014
- [j3]Rongjian Li, Wenlu Zhang, Shuiwang Ji:
Automated identification of cell-type-specific genes in the mouse brain by image computing of expression patterns. BMC Bioinform. 15: 209 (2014) - [c4]Rongjian Li, Wenlu Zhang, Heung-Il Suk, Li Wang, Jiang Li, Dinggang Shen, Shuiwang Ji:
Deep Learning Based Imaging Data Completion for Improved Brain Disease Diagnosis. MICCAI (3) 2014: 305-312 - 2013
- [j2]Wenlu Zhang, Daming Feng, Rongjian Li, Andrey N. Chernikov, Nikos Chrisochoides, Christopher Osgood, Charlotte Konikoff, Stuart J. Newfeld, Sudhir Kumar, Shuiwang Ji:
A mesh generation and machine learning framework for Drosophila gene expression pattern image analysis. BMC Bioinform. 14: 372 (2013) - [j1]Shuiwang Ji, Wenlu Zhang, Rongjian Li:
A Probabilistic Latent Semantic Analysis Model for Coclustering the Mouse Brain Atlas. IEEE ACM Trans. Comput. Biol. Bioinform. 10(6): 1460-1468 (2013) - [c3]Shuiwang Ji, Wenlu Zhang, Rui Zhang:
Evolutionary Soft Co-Clustering. SDM 2013: 121-129 - [c2]Xiangfei Meng, Xiaoqian Zhu, Peng Wang, Yang Zhao, Xin Liu, Bao Zhang, Yong Xiao, Wenlu Zhang, Zhihong Lin:
Heterogeneous Programming and Optimization of Gyrokinetic Toroidal Code and Large-Scale Performance Test on TH-1A. ISC 2013: 81-96 - 2012
- [c1]Shuiwang Ji, Wenlu Zhang, Jun Liu:
A sparsity-inducing formulation for evolutionary co-clustering. KDD 2012: 334-342
Coauthor Index
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last updated on 2024-10-25 20:11 CEST by the dblp team
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