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ORCIDJi Zhu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Ji Zhu 0001 — University of Michigan, Department of Statistics, Ann Arbor, MI, USA (and 1 more)
- Ji Zhu 0002
![[0000-0002-7736-406X]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-7736-406X")
— Shanghai Jiao Tong University, Department of Electronic Engineering, China - Ji Zhu 0003 — University of Illinois at Urbana-Champaign, Coordinated Science Laboratory, IL, USA
- Ji Zhu 0004 — Hebei GEO University, College of Land Resources and Urban and Rural Planning, Shijiazhuang, China
Other persons with a similar name
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2020 – today
- 2024
[c22]Chiyu Zhang, Yifei Sun, Minghao Wu, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Rong Jin, Angli Liu, Ji Zhu, Sem Park, Ning Yao, Bo Long:
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. RecSys 2024: 1010-1015- [i7]Chiyu Zhang, Yifei Sun, Minghao Wu, Jun Chen, Jie Lei, Muhammad Abdul-Mageed, Rong Jin, Angli Liu, Ji Zhu, Sem Park, Ning Yao, Bo Long:
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations. CoRR abs/2405.11441 (2024) - [i6]Shangyi Luo, Ji Zhu, Peng Sun, Yuhong Deng, Cunjun Yu, Anxing Xiao, Xueqian Wang:
GSON: A Group-based Social Navigation Framework with Large Multimodal Model. CoRR abs/2409.18084 (2024) - 2023
- [j29]Hanying Zhang, Xiaohang Zhang, Tianbo Zhang, Ji Zhu:
Capturing the form of feature interactions in black-box models. Inf. Process. Manag. 60(4): 103373 (2023) - 2022
- [j28]Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu:
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. J. Mach. Learn. Res. 23: 34:1-34:29 (2022) - [j27]Xiaohang Zhang, Hanying Zhang, Ji Zhu, Zhengren Li:
Revealing the structure of prediction models through feature interaction detection. Knowl. Based Syst. 236: 107737 (2022) - [j26]Brandon Oselio, Amit G. Singal, Xuefei Zhang, Tony Van, Boang Liu, Ji Zhu, Akbar K. Waljee:
Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus. BMC Medical Informatics Decis. Mak. 22(1): 63 (2022) - 2021
- [j25]Lauren A. Beste, Xuefei Zhang, Grace L. Su, Tony Van, George N. Ioannou, Brandon Oselio, Monica Tincopa, Boang Liu, Amit G. Singal, Ji Zhu, Akbar K. Waljee:
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort. BMC Medical Informatics Decis. Mak. 21(1): 347 (2021) - [c21]Ji Zhu:
Factors Affecting the Physical Education Practice Teaching Effect of University Students. CIPAE 2021: 202-208 - 2020
- [j24]Chenjun Shi, Ji Zhu, Mingqian Xu, Xu Wu, Yan Peng, Wenzheng Bao:
An Approach of Spectra Standardization and Qualitative Identification for Biomedical Materials Based on Terahertz Spectroscopy. Sci. Program. 2020: 8841565:1-8841565:8 (2020) - [j23]Nam-Hee Choi, Kerby Shedden, Gongjun Xu, Xuefei Zhang, Ji Zhu:
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression. Technometrics 62(4): 451-455 (2020) - [c20]Xuefei Zhang, Songkai Xue, Ji Zhu:
A Flexible Latent Space Model for Multilayer Networks. ICML 2020: 11288-11297 - [i5]Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu:
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. CoRR abs/2008.08637 (2020)
2010 – 2019
- 2019
- [j22]Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li:
Covariance-insured screening. Comput. Stat. Data Anal. 132: 100-114 (2019) - [c19]Jun Chen, Ji Zhu, Jieping Ye:
An Attention-Based Hybrid Network for Automatic Detection of Alzheimer's Disease from Narrative Speech. INTERSPEECH 2019: 4085-4089 - [c18]Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei:
A Flexible Generative Framework for Graph-based Semi-supervised Learning. NeurIPS 2019: 3276-3285 - [i4]Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei:
A Flexible Generative Framework for Graph-based Semi-supervised Learning. CoRR abs/1905.10769 (2019) - 2018
- [j21]Qi Wang, Yunxia Mao, Ji Zhu, Xiaohang Zhang:
Receiver responses to referral reward programs in social networks. Electron. Commer. Res. 18(3): 563-585 (2018) - [j20]Qi Wang, Yan Sun, Ji Zhu, Xiaohang Zhang:
The impact of uncertain rewards on customers' recommendation intention in social networks. Internet Res. 28(4): 1029-1054 (2018) - [c17]Shujie Lu, Jia Yu, Ji Zhu:
Properties Emulation on TD-LTE Electric Power Wireless Private. ICCCS (5) 2018: 563-573 - [i3]Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li:
Covariance-Insured Screening. CoRR abs/1805.06595 (2018) - 2017
- [j19]Wenwu He, James Tin-Yau Kwok, Ji Zhu, Yang Liu:
A Note on the Unification of Adaptive Online Learning. IEEE Trans. Neural Networks Learn. Syst. 28(5): 1178-1191 (2017) - 2016
- [j18]Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li:
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates. Bioinform. 32(1): 50-57 (2016) - [j17]Xiaohang Zhang, Cenyue Wang, Zhengren Li, Ji Zhu, Wenhua Shi, Qi Wang:
Exploring the sequential usage patterns of mobile Internet services based on Markov models. Electron. Commer. Res. Appl. 17: 1-11 (2016) - [c16]Ji Zhu, Shuqin Cao, Guofei Shang:
Cloud removal from the AVHRR/2 images with cloud and snow over Qinghai-Tibet Plateau. IGARSS 2016: 574-577 - [i2]Yanming Li, Hyokyoung Grace Hong, Jian Kang, Kevin He, Ji Zhu, Yi Li:
Classification with Ultrahigh-Dimensional Features. CoRR abs/1611.01541 (2016) - 2015
- [j16]Yun Li, Ji Zhu, Naisyin Wang:
Regularized Semiparametric Estimation for Ordinary Differential Equations. Technometrics 57(3): 341-350 (2015) - [j15]Na Zou, Yun Zhu, Ji Zhu, Mustafa Gökçe Baydogan, Wei Wang, Jing Li:
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems. Technometrics 57(3): 362-373 (2015) - [j14]Jianhua Zhao, Lei Shi, Ji Zhu:
Two-Stage Regularized Linear Discriminant Analysis for 2-D Data. IEEE Trans. Neural Networks Learn. Syst. 26(8): 1669-1681 (2015) - 2014
- [j13]William Li, Ji Zhu:
Comment: Model Selection With Strong and Weak Heredity Constraints. Technometrics 56(1): 21-22 (2014) - 2013
- [j12]Xiaohang Zhang, Ji Zhu, Qi Wang, Han Zhao:
Identifying influential nodes in complex networks with community structure. Knowl. Based Syst. 42: 74-84 (2013) - 2012
- [j11]Xiaohang Zhang, Ji Zhu, Shuhua Xu, Yan Wan:
Predicting customer churn through interpersonal influence. Knowl. Based Syst. 28: 97-104 (2012) - [j10]Ashish Sood, Gareth M. James, Gerard J. Tellis, Ji Zhu:
Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder. Mark. Sci. 31(6): 964-979 (2012) - 2011
- [j9]Jiyi Wu, Qianli Shen, Tong Wang, Ji Zhu, Jianlin Zhang:
Recent Advances in Cloud Security. J. Comput. 6(10): 2156-2163 (2011) - [j8]Ashin Mukherjee, Ji Zhu:
Reduced rank ridge regression and its kernel extensions. Stat. Anal. Data Min. 4(6): 612-622 (2011) - [c15]Ji Zhu, Mudhakar Srivatsa:
Poster: on quantitative information flow metrics. CCS 2011: 877-880 - [c14]Ji Zhu, Mudhakar Srivatsa:
Quantifying Information Leakage in Finite Order Deterministic Programs. ICC 2011: 1-6 - 2010
- [j7]Li Wang, Ji Zhu:
Image denoising via solution paths. Ann. Oper. Res. 174(1): 3-17 (2010) - [j6]Li Wang, Ji Zhu:
Financial market forecasting using a two-step kernel learning method for the support vector regression. Ann. Oper. Res. 174(1): 103-120 (2010) - [i1]Ji Zhu, Mudhakar Srivatsa:
Quantifying Information Leakage in Finite Order Deterministic Programs. CoRR abs/1009.3951 (2010)
2000 – 2009
- 2009
- [j5]Hao Zheng, Xingyi Hang, Ji Zhu, Minping Qian, Wubin Qu, Chenggang Zhang, Minghua Deng:
REMAS: a new regression model to identify alternative splicing events from exon array data. BMC Bioinform. 10(S-1) (2009) - [c13]Hao Zheng, Fugui Wang, Jiangfeng Xu, Nengfeng Zhou, Minping Qian, Ji Zhu, Minghua Deng:
Pathway Detection Based on Hierarchical LASSO Regression Model. BMEI 2009: 1-7 - 2008
- [j4]Li Wang, Ji Zhu, Hui Zou:
Hybrid huberized support vector machines for microarray classification and gene selection. Bioinform. 24(3): 412-419 (2008) - 2007
- [j3]Sijian Wang, Ji Zhu:
Improved centroids estimation for the nearest shrunken centroid classifier. Bioinform. 23(8): 972-979 (2007) - [j2]Youjuan Li, Ji Zhu:
Analysis of array CGH data for cancer studies using fused quantile regression. Bioinform. 23(18): 2470-2476 (2007) - [j1]Lacey Gunter, Ji Zhu:
Efficient Computation and Model Selection for the Support Vector Regression. Neural Comput. 19(6): 1633-1655 (2007) - [c12]Lacey Gunter, Ji Zhu, Susan A. Murphy:
Variable Selection for Optimal Decision Making. AIME 2007: 149-154 - [c11]Saharon Rosset, Grzegorz Swirszcz, Nathan Srebro, Ji Zhu:
l1 Regularization in Infinite Dimensional Feature Spaces. COLT 2007: 544-558 - [c10]Li Wang, Ji Zhu, Hui Zou:
Hybrid huberized support vector machines for microarray classification. ICML 2007: 983-990 - [p2]Ji Zhu, Hui Zou:
Variable Selection for the Linear Support Vector Machine. Trends in Neural Computation 2007: 35-59 - 2006
- [c9]Ji Zhu, Ang Guo, Zhonghua Lu, Yongwei Wu, Bin Shen, Xuebin Chi:
Analysis of the Bioinformatics Grid Technique Applications in China. CCGRID 2006: 44 - [c8]David Abramson, Amanda Lynch, Hiroshi Takemiya, Yusuke Tanimura, Susumu Date, Haruki Nakamura, Karpjoo Jeong, Suntae Hwang, Ji Zhu, Zhonghua Lu, Céline Amoreira, Kim K. Baldridge, Hurng-Chun Lee, Chi-Wei Wang, Horng-Liang Shih, Tomas E. Molina, Wilfred W. Li, Peter W. Arzberger:
Deploying Scientific Applications to the PRAGMA Grid Testbed: Strategies and Lessons. CCGRID 2006: 241-248 - [c7]Li Wang, Michael D. Gordon, Ji Zhu:
Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter Tuning. ICDM 2006: 690-700 - [c6]Zhili Wu, Chun-hung Li, Ji Zhu, Jian Huang:
A Semi-supervised SVM for Manifold Learning. ICPR (2) 2006: 490-493 - [p1]Saharon Rosset, Ji Zhu:
Sparse, Flexible and Efficient Modeling using L 1 Regularization. Feature Extraction 2006: 375-394 - 2005
- [c5]Lacey Gunter, Ji Zhu:
Computing the Solution Path for the Regularized Support Vector Regression. NIPS 2005: 483-490 - 2004
- [c4]James Mauro, Ji Zhu, Ira Pramanick:
The System Recovery Benchmark. PRDC 2004: 271-280 - 2003
- [c3]Ira Pramanick, James Mauro, Ji Zhu:
A System Recovery Benchmark for Clusters. CLUSTER 2003: 387-394 - [c2]Ji Zhu, James Mauro, Ira Pramanick:
Robustness Benchmarking for Hardware Maintenance Events. DSN 2003: 115-122 - 2002
- [c1]Dong Tang, Ji Zhu, Roy Andrada:
Automatic Generation of Availability Models in RAScad. DSN 2002: 488-494
Coauthor Index
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last updated on 2024-10-28 20:11 CET by the dblp team
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