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ORCIDLu Wang 0004
Person information
- affiliation: University of Houston, TX, USA
- affiliation (former): Texas State University, San Marcos, TX, USA
- affiliation (former): Wayne State University, Department of Computer Science, Detroit, MI, USA
- affiliation (PhD 2017): University of Toronto, ON, Canada
Other persons with the same name
- Lu Wang — disambiguation page
- Lu Wang 0001
![[0000-0003-2669-3522]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-2669-3522")
— Northeastern University, College of Information Science and Engineering, Shenyang, China (and 2 more) - Lu Wang 0002 — Shenzhen University, College of Computer Science and Software Engineering, China (and 2 more)
- Lu Wang 0003 — Nanyang Technological University, School of Electrical and Electronic Engineering, Singapore (and 2 more)
- Lu Wang 0005 — University of Southampton, Faculty of Engineering and the Environment, UK
- Lu Wang 0006 — KTH Royal Institute of Technology, Centre for Autonomous Systems and the Computer Vision and Active Perception Lab, Stockholm, Sweden
- Lu Wang 0007 — Shandong University, Department of Computer Science, China
- Lu Wang 0008 — University of Michigan, Computer Science and Engineering, Ann Arbor, MI, USA (and 2 more)
- Lu Wang 0009 — Anhui University of Technology, Department of Mechanical Engineering, China
- Lu Wang 0010 — Harbin Engineering University, Harbin, China (and 1 more)
- Lu Wang 0011 — Arizona State University, Tempe, USA
- Lu Wang 0012 — University of Rennes 1, LTSI, France (and 2 more)
- Lu Wang 0013 — University of Southern California, Department of Computer Science, Los Angeles, CA, USA
- Lu Wang 0014 — Xidian University, Software Engineering Institute, Xi'an, China
- Lu Wang 0015 — Central South University, Department of Statistics, Changsha, China (and 1 more)
- Lu Wang 0016 — Northwestern Polytechnical University, School of Aeronautics, Xi'an, China
- Lu Wang 0017 — Southwest Jiaotong University, College of Mathematics, Chengdu, China
- Lu Wang 0018 — University of International Business and Economics, Research Institute for Shenzhen, China (and 2 more)
- Lu Wang 0019 — Ghent University, Department of Electronics and Information Systems, Belgium (and 1 more)
- Lu Wang 0020 — Zhongkai University of Agriculture and Engineering, Guangzhou, China
- Lu Wang 0021 — Wuhan University, School of Resource and Environment Sciences, China
- Lu Wang 0022 — University of Sheffield, Department of Electronic and Electrical Engineering, UK
- Lu Wang 0023 — Zhejiang University of Finance and Economics, School of Information Management and Artificial Intelligence, Hangzhou, China
- Lu Wang 0024 — Qinghai University, State Key Laboratory of Plateau Ecology and Agriculture, Xining, China
- Lu Wang 0025 — Chinese Academy of Sciences, Institute of Information Engineering, Beijing, China
- Lu Wang 0026 — China Three Gorges University, College of Electrical Engineering and New Energy, Yichang, China
- Lu Wang 0027 — Guangdong University of Technology, School of Information Engineering, Guangzhou, China
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2020 – today
- 2024
[i4]Mu-Huan Chung, Sharon Li, Jaturong Kongmanee, Lu Wang, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell:
Maximizing Information Gain in Privacy-Aware Active Learning of Email Anomalies. CoRR abs/2405.07440 (2024)- 2023
- [j6]Mu-Huan Chung, Yuhong Yang, Lu Wang, Greg Cento, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell:
Implementing Data Exfiltration Defense in Situ: A Survey of Countermeasures and Human Involvement. ACM Comput. Surv. 55(14s): 303:1-303:37 (2023) - [j5]Mark H. Chignell, Lu Wang, Atefeh Zare, Jamy Li:
The Evolution of HCI and Human Factors: Integrating Human and Artificial Intelligence. ACM Trans. Comput. Hum. Interact. 30(2): 1-30 (2023) - [c16]Daniel Gallegos, Elaine Raymond, Lu Wang:
Poster: Binge drinking risk factors ranking using multi-task learning. MobiHoc 2023: 577-579 - [i3]Mu-Huan Chung, Lu Wang, Sharon Li, Yuhong Yang, Calvin Giang, Khilan Jerath, Abhay Raman, David Lie, Mark H. Chignell:
Implementing Active Learning in Cybersecurity: Detecting Anomalies in Redacted Emails. CoRR abs/2303.00870 (2023) - 2021
- [j4]Lu Wang, Dongxiao Zhu:
Tackling ordinal regression problem for heterogeneous data: sparse and deep multi-task learning approaches. Data Min. Knowl. Discov. 35(3): 1134-1161 (2021) - [c15]Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman:
Discovering the Causal Structure of the Hamilton Rating Scale for Depression Using Causal Discovery. BHI 2021: 1-4 - [c14]Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman:
Prioritization of Multi-level Risk Factors, and Predicting Changes in Depression Ratings after Treatment Using Multi-Task Learning. BIBM 2021: 3239-3244 - [c13]Lu Wang, Mark H. Chignell, Haoyan Jiang, Sachinthya Lokuge, Geneva Mason, Kathryn Fotinos, Martin Katzman:
Hierarchical Clustering of Multi-Study Depression Data Yields Four Symptom Clusters. BIBM 2021: 3245-3250 - [c12]Lu Wang, Yan Li, Mark H. Chignell:
Combining Ranking and Point-wise Losses for Training Deep Survival Analysis Models. ICDM 2021: 689-698 - [i2]Lu Wang, Haoyan Jiang, Mark H. Chignell:
MD-MTL: An Ensemble Med-Multi-Task Learning Package for DiseaseScores Prediction and Multi-Level Risk Factor Analysis. CoRR abs/2103.03436 (2021) - 2020
- [c11]Lu Wang, Mark H. Chignell, Haoyan Jiang, Nipon Charoenkitkarn:
Cluster-Boosted Multi-Task Learning Framework for Survival Analysis. BIBE 2020: 255-262 - [c10]Masha Rouzbahman, Alexandra Jovicic, Lu Wang, Leon Zucherman, Zahid Abul-Basher, Nipon Charoenkitkarn, Mark H. Chignell:
Data Mining Methods for Optimizing Feature Extraction and Model Selection. IAIT 2020: 1:1-1:8 - [c9]Mu-Huan Chung, Mark H. Chignell, Lu Wang, Alexandra Jovicic, Abhay Raman:
Interactive Machine Learning for Data Exfiltration Detection: Active Learning with Human Expertise. SMC 2020: 280-287
2010 – 2019
- 2019
- [j3]Yan Li, Lu Wang, Jiayu Zhou, Jieping Ye:
Multi-task learning based survival analysis for multi-source block-wise missing data. Neurocomputing 364: 95-107 (2019) - [c8]Lu Wang, Ming Dong, Elizabeth Towner, Dongxiao Zhu:
Prioritization of Multi-Level Risk Factors for Obesity. BIBM 2019: 1065-1072 - [c7]Mahsa Rouzbahman, Lu Wang, Mark H. Chignell, Leon Zucherman, Nipon Charoenkitkarn, Lisa Barbera:
Predicting Emergency Department Visits Based on Cancer Patient Types. BIBM 2019: 1605-1612 - [c6]Mahsa Rouzbahman, Lu Wang, Mark H. Chignell, Leon Zucherman, Nipon Charoenkitkarn, Lisa Barbera:
Tuning a Cancer Patient Typology Based on Emergency Department Visits. BIBM 2019: 1613-1619 - [i1]Lu Wang, Dongxiao Zhu:
Tackling Multiple Ordinal Regression Problems: Sparse and Deep Multi-Task Learning Approaches. CoRR abs/1907.12508 (2019) - 2018
- [j2]Lu Wang, Dongxiao Zhu, Ming Dong:
Clustering over-dispersed data with mixed feature types. Stat. Anal. Data Min. 11(2): 55-65 (2018) - [c5]Lu Wang, Dongxiao Zhu, Elizabeth Towner, Ming Dong:
Obesity risk factors ranking using multi-task learning. BHI 2018: 385-388 - 2017
- [j1]Lu Wang, Lipi R. Acharya, Changxin Bai, Dongxiao Zhu:
Transcriptome assembly strategies for precision medicine. Quant. Biol. 5(4): 280-290 (2017) - [c4]Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye:
Multi-task Survival Analysis. ICDM 2017: 485-494 - [c3]Lu Wang, Dongxiao Zhu, Ming Dong, Yan Li:
Modeling Over-Dispersion for Network Data Clustering. ICMLA 2017: 42-49 - 2016
- [c2]Yan Li, Lu Wang, Jie Wang, Jieping Ye, Chandan K. Reddy:
Transfer Learning for Survival Analysis via Efficient L2, 1-Norm Regularized Cox Regression. ICDM 2016: 231-240 - [c1]Lu Wang, Dongxiao Zhu, Yan Li, Ming Dong:
Poisson-Markov Mixture Model and Parallel Algorithm for Binning Massive and Heterogenous DNA Sequencing Reads. ISBRA 2016: 15-26
Coauthor Index
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last updated on 2024-07-30 00:21 CEST by the dblp team
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