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ORCIDZhi Wei 0001
Person information
- affiliation: New Jersey Institute of Technology, Department of Computer Science, Newark, NJ, USA
- affiliation (PhD 2008): University of Pennsylvania, School of Medicine, Department of Biostatistics and Epidemiology, Philadelphia, PA, USA
Other persons with the same name
- Zhi Wei 0002 — Hebei University of Technology, School of Mechanical Engineering, Tianjin, China
- Zhi Wei 0003 — Chinese Academy and Sciences, Cold and Arid Regions Environmental and Engineering Research Institute, Lanzhou, China
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Journal Articles
- 2023
[j37]Cheng Zhong, Tian Tian, Zhi Wei
:
Hidden Markov random field models for cell-type assignment of spatially resolved transcriptomics. Bioinform. 39(10) (2023)- [j36]Fei Tan, Changwei Hu, Yifan Hu, Kevin Yen, Zhi Wei, Aasish Pappu, Serim Park, Keqian Li:
MGEL: Multigrained Representation Analysis and Ensemble Learning for Text Moderation. IEEE Trans. Neural Networks Learn. Syst. 34(10): 7014-7023 (2023) - 2022
- [j35]Yang Jia, Xinmeng Zhang, Hanrong Du, Weiguang Chen, Xiaohui Jin, Wei Qi, Bin Yang, Qiujuan Zhang, Zhi Wei:
Fine-grained precise-bone age assessment by integrating prior knowledge and recursive feature pyramid network. EURASIP J. Image Video Process. 2022(1): 12 (2022) - [j34]Liulin Yang, Yu Li, Zhi Wei:
Fa-Mb-ResNet for Grounding Fault Identification and Line Selection in the Distribution Networks. IEEE Internet Things J. 9(13): 11115-11125 (2022) - 2021
- [j33]Xiang Lin, Jie Zhang, Zhi Wei, Turki Turki:
An Omnibus Test for Differential Distribution Analysis of Continuous Microbiome Data. IEEE Access 9: 100029-100039 (2021) - [j32]Joseph Glessner, Xiurui Hou, Cheng Zhong, Jie Zhang, Munir Khan, Fabian Brand, Peter Krawitz, Patrick Sleiman, Hakon Hakonarson, Zhi Wei:
DeepCNV: a deep learning approach for authenticating copy number variations. Briefings Bioinform. 22(5) (2021) - [j31]Fentaw Abegaz, François Van Lishout, Jestinah M. Mahachie John, Kridsadakorn Chaichoompu, Archana Bhardwaj, Diane Duroux, Elena S. Gusareva, Zhi Wei, Hakon Hakonarson, Kristel Van Steen:
Performance of model-based multifactor dimensionality reduction methods for epistasis detection by controlling population structure. BioData Min. 14(1): 16 (2021) - [j30]Xiurui Hou, Kai Wang, Cheng Zhong, Zhi Wei:
ST-Trader: A Spatial-Temporal Deep Neural Network for Modeling Stock Market Movement. IEEE CAA J. Autom. Sinica 8(5): 1015-1024 (2021) - 2020
- [j29]Xiurui Hou, Kai Wang, Jie Zhang, Zhi Wei:
An Enriched Time-Series Forecasting Framework for Long-Short Portfolio Strategy. IEEE Access 8: 31992-32002 (2020) - [j28]Xiaoying Pan, Yizhe Zhao, Hao Chen, De Wei, Chen Zhao, Zhi Wei:
Fully Automated Bone Age Assessment on Large-Scale Hand X-Ray Dataset. Int. J. Biomed. Imaging 2020: 8460493:1-8460493:12 (2020) - [j27]Hongyun Yue, Zhi Wei, Qingjiang Chen, Xiaoyan Zhang:
Dynamic surface control for a class of nonlinearly parameterized systems with input time delay using neural network. J. Frankl. Inst. 357(4): 1961-1986 (2020) - [j26]Fei Tan, Tian Tian, Xiurui Hou, Xiang Yu, Lei Gu, Fernanda Mafra, Brian D. Gregory, Zhi Wei, Hakon Hakonarson:
Elucidation of DNA methylation on N6-adenine with deep learning. Nat. Mach. Intell. 2(8): 466-475 (2020) - 2019
- [j25]Xiaoping Xiong, Wenliang Wu, Ning Li, Lu Yang, Jie Zhang, Zhi Wei:
Risk-Based Multi-Objective Optimization of Distributed Generation Based on GPSO-BFA Algorithm. IEEE Access 7: 30563-30572 (2019) - [j24]Xiali Li, Zhengyu Lv, Song Wang, Zhi Wei, Xiaochuan Zhang, Licheng Wu:
A Middle Game Search Algorithm Applicable to Low-Cost Personal Computer for Go. IEEE Access 7: 121719-121727 (2019) - [j23]Xiali Li, Zhengyu Lv, Song Wang, Zhi Wei, Licheng Wu:
A Reinforcement Learning Model Based on Temporal Difference Algorithm. IEEE Access 7: 121922-121930 (2019) - [j22]Xiali Li, Shuai He, Zhi Wei, Licheng Wu:
Improved Online Sequential Extreme Learning Machine: A New Intelligent Evaluation Method for AZ-Style Algorithms. IEEE Access 7: 124891-124901 (2019) - [j21]Fei Tan, Chaoran Cheng, Zhi Wei:
Modeling and elucidation of housing price. Data Min. Knowl. Discov. 33(3): 636-662 (2019) - [j20]Tian Tian, Ji Wan, Qi Song, Zhi Wei:
Clustering single-cell RNA-seq data with a model-based deep learning approach. Nat. Mach. Intell. 1(4): 191-198 (2019) - [j19]Jie Zhang, Zhigen Zhao, Kai Zhang, Zhi Wei:
A Feature Sampling Strategy for Analysis of High Dimensional Genomic Data. IEEE ACM Trans. Comput. Biol. Bioinform. 16(2): 434-441 (2019) - [j18]Fei Tan, Xiurui Hou, Jie Zhang, Zhi Wei, Zhenyu Yan:
A Deep Learning Approach to Competing Risks Representation in Peer-to-Peer Lending. IEEE Trans. Neural Networks Learn. Syst. 30(5): 1565-1574 (2019) - [j17]Jie Zhang, Zhi Wei, Zhenyu Yan, MengChu Zhou, Abhishek Pani:
Online Change-Point Detection in Sparse Time Series With Application to Online Advertising. IEEE Trans. Syst. Man Cybern. Syst. 49(6): 1141-1151 (2019) - 2018
- [j16]Xin Gao, Jie Zhang, Zhi Wei, Hakon Hakonarson:
DeepPolyA: A Convolutional Neural Network Approach for Polyadenylation Site Prediction. IEEE Access 6: 24340-24349 (2018) - [j15]Liulin Yang, Naishan Hang, Zhi Wei:
Dual M-Convex Variable Subsets Family and Extremum Analysis for the OPF Problem. IEEE Access 6: 27018-27027 (2018) - [j14]Jun Chen, Emily King, Rebecca Deek, Zhi Wei, Yue Yu, Diane E. Grill, Karla V. Ballman:
An omnibus test for differential distribution analysis of microbiome sequencing data. Bioinform. 34(4): 643-651 (2018) - [j13]Jie Zhang, Zhi Wei, Jun Chen:
A distance-based approach for testing the mediation effect of the human microbiome. Bioinform. 34(11): 1875-1883 (2018) - [j12]Turki Turki, Zhi Wei:
Boosting support vector machines for cancer discrimination tasks. Comput. Biol. Medicine 101: 236-249 (2018) - [j11]Turki Turki, Zhi Wei, Jason T. L. Wang:
A transfer learning approach via procrustes analysis and mean shift for cancer drug sensitivity prediction. J. Bioinform. Comput. Biol. 16(3): 1840014:1-1840014:31 (2018) - [j10]Qi Kang, Lei Shi, MengChu Zhou, XueSong Wang, Qidi Wu, Zhi Wei:
A Distance-Based Weighted Undersampling Scheme for Support Vector Machines and its Application to Imbalanced Classification. IEEE Trans. Neural Networks Learn. Syst. 29(9): 4152-4165 (2018) - 2017
- [j9]Turki Turki, Zhi Wei, Jason T. L. Wang:
Transfer Learning Approaches to Improve Drug Sensitivity Prediction in Multiple Myeloma Patients. IEEE Access 5: 7381-7393 (2017) - [j8]Turki Turki, Zhi Wei:
A link prediction approach to cancer drug sensitivity prediction. BMC Syst. Biol. 11(S-5): 94:1-94:14 (2017) - 2016
- [j7]Jie Zhang, Zhi Wei:
An empirical Bayes change-point model for identifying 3′ and 5′ alternative splicing by next-generation RNA sequencing. Bioinform. 32(12): 1823-1831 (2016) - 2015
- [j6]Christopher Ochs, James Geller, Yehoshua Perl, Yan Chen, Junchuan Xu, Hua Min, James T. Case, Zhi Wei:
Scalable quality assurance for large SNOMED CT hierarchies using subject-based subtaxonomies. J. Am. Medical Informatics Assoc. 22(3): 507-518 (2015) - [j5]Xiang Ji, Soon Ae Chun, Zhi Wei, James Geller:
Twitter sentiment classification for measuring public health concerns. Soc. Netw. Anal. Min. 5(1): 13:1-13:25 (2015) - 2014
- [j4]Wei Wang, Zhi Wei, Hongzhe Li:
A change-point model for identifying 3′UTR switching by next-generation RNA sequencing. Bioinform. 30(15): 2162-2170 (2014) - 2009
- [j3]Zhi Wei, Wenguang Sun, Kai Wang, Hakon Hakonarson:
Multiple testing in genome-wide association studies via hidden Markov models. Bioinform. 25(21): 2802-2808 (2009) - 2007
- [j2]Zhi Wei, Hongzhe Li:
A Markov random field model for network-based analysis of genomic data. Bioinform. 23(12): 1537-1544 (2007) - 2006
- [j1]Zhi Wei, Shane T. Jensen:
GAME: detecting cis-regulatory elements using a genetic algorithm. Bioinform. 22(13): 1577-1584 (2006)
Conference and Workshop Papers
- 2023
- [c26]Siqi Jiang, Ajim Uddin, Zhi Wei, Dantong Yu:
The Network of Mutual Funds: A Dynamic Heterogeneous Graph Neural Network for Estimating Mutual Funds Performance. ICAIF 2023: 235-243 - [c25]Yunpeng Xu, Wenge Guo, Zhi Wei:
Conformal Risk Control for Ordinal Classification. UAI 2023: 2346-2355 - 2022
- [c24]Qingyan Yin, Wangwang Chen, Ruiping Wu, Zhi Wei:
Cox-ResNet: A Survival Analysis Model Based on Residual Neural Networks for Gene Expression Data. ICNSC 2022: 1-6 - 2020
- [c23]Chaoran Cheng, Fei Tan, Zhi Wei:
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. AAAI 2020: 598-605 - [c22]Haomin Yu, Qingyong Li, Yangli-ao Geng, Yingjun Zhang, Zhi Wei:
AirNet: A Calibration Model for Low-Cost Air Monitoring Sensors Using Dual Sequence Encoder Networks. AAAI 2020: 1129-1136 - [c21]Xiaoping Xiong, Wenliang Wu, Ning Li, Deran Tu, Shuang Xu, Jie Zhang, Zhi Wei:
User Profiling and Behavior Evaluation Based on Improved Logistics Algorithm. ICNSC 2020: 1-6 - [c20]Xiaoping Xiong, Shuang Xu, Wenliang Wu, Deran Tu, Jie Zhang, Zhi Wei:
Identification of Electrical Equipment Based on Faster LSTM-CNN Network. ICNSC 2020: 1-6 - 2019
- [c19]Fei Tan, Zhi Wei, Abhishek Pani, Zhenyu Yan:
User Response Driven Content Understanding with Causal Inference. ICDM 2019: 1324-1329 - [c18]Chaoran Cheng, Fei Tan, Xiurui Hou, Zhi Wei:
Success Prediction on Crowdfunding with Multimodal Deep Learning. IJCAI 2019: 2158-2164 - 2018
- [c17]Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan:
A Blended Deep Learning Approach for Predicting User Intended Actions. ICDM 2018: 487-496 - [c16]Xin Gao, Jie Zhang, Zhi Wei:
Deep learning for sequence pattern recognition. ICNSC 2018: 1-6 - [c15]Ruihua Cheng, Zhi Wei, Kai Zhang:
Network Inference from Contrastive Groups Using Discriminative Structural Regularization. SDM 2018: 117-125 - [c14]Fei Tan, Kuang Du, Zhi Wei, Haoran Liu, Chenguang Qin, Ran Zhu:
Modeling Item-specific Effects for Video Click. SDM 2018: 639-647 - 2017
- [c13]Fei Tan, Chaoran Cheng, Zhi Wei:
Time-Aware Latent Hierarchical Model for Predicting House Prices. ICDM 2017: 1111-1116 - [c12]Mingfei Liang, Qingyong Li, Yangli-ao Geng, Jianzhu Wang, Zhi Wei:
REMOLD: An Efficient Model-Based Clustering Algorithm for Large Datasets with Spark. ICPADS 2017: 376-383 - 2016
- [c11]Xiaoshuang Chen, Qi Kang, MengChu Zhou, Zhi Wei:
A novel under-sampling algorithm based on Iterative-Partitioning Filters for imbalanced classification. CASE 2016: 490-494 - [c10]Turki Turki, Zhi Wei:
Learning approaches to improve prediction of drug sensitivity in breast cancer patients. EMBC 2016: 3314-3320 - [c9]Jie Zhang, Kuang Du, Ruihua Cheng, Zhi Wei, Chenguang Qin, Huaxin You, Sha Hu:
Reliable Gender Prediction Based on Users' Video Viewing Behavior. ICDM 2016: 649-658 - [c8]Fei Tan, Chaoran Cheng, Zhi Wei:
Modeling Real Estate for School District Identification. ICDM 2016: 1227-1232 - [c7]Kai Zhang, Shandian Zhe, Chaoran Cheng, Zhi Wei, Zhengzhang Chen, Haifeng Chen, Guofei Jiang, Yuan Qi, Jieping Ye:
Annealed Sparsity via Adaptive and Dynamic Shrinking. KDD 2016: 1325-1334 - [c6]Turki Turki, Zhi Wei:
A greedy-based oversampling approach to improve the prediction of mortality in MERS patients. SysCon 2016: 1-5 - 2015
- [c5]Jie Zhang, Zhi Wei, Zhenyu Yan, Abhishek Pani:
Collaborated Online Change-Point Detection in Sparse Time Series for Online Advertising. ICDM 2015: 1099-1104 - [c4]Turki Turki, Zhi Wei:
IPRed: Instance Reduction Algorithm Based on the Percentile of the Partitions. MAICS 2015: 181-185 - 2014
- [c3]Turki Turki, Muhammad Ihsan, Nouf Turki, Jie Zhang, Usman Roshan, Zhi Wei:
Top-k Parametrized Boost. MIKE 2014: 91-98 - 2008
- [c2]Alexander Braunstein, Zhi Wei, Shane T. Jensen, Jon D. McAuliffe:
A spatially varying two-sample recombinant coalescent, with applications to HIV escape response. NIPS 2008: 193-200 - 2003
- [c1]Zhenyu Yan, Zhi Wei, Lishan Kang:
Exploiting the Marginal Profits of Constraints with Evolutionary Multi-Objective Optimization Techniques. IC-AI 2003: 251-256
Informal and Other Publications
- 2020
- [i3]Chaoran Cheng, Fei Tan, Zhi Wei:
DeepVar: An End-to-End Deep Learning Approach for Genomic Variant Recognition in Biomedical Literature. CoRR abs/2006.08338 (2020) - 2018
- [i2]Fei Tan, Zhi Wei, Jun He, Xiang Wu, Bo Peng, Haoran Liu, Zhenyu Yan:
A Blended Deep Learning Approach for Predicting User Intended Actions. CoRR abs/1810.04824 (2018) - 2016
- [i1]Turki Turki, Zhi Wei:
A Noise-Filtering Approach for Cancer Drug Sensitivity Prediction. CoRR abs/1612.00525 (2016)
Coauthor Index
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