Ji Zhu

65 papers A* 6A 4B 3C 2Journal 42Unranked 6
YearRankTypeTitle / Venue / Authors
2026 A* conf
FAIR: Framing AI's Role in Programming Competitions - Understanding How LLMs Are Changing the Game in Competitive Programming.
CHI
Dongyijie Primo Pan, Lan Luo, Ji Zhu, Zhiqi Gao, Xin Tong, Pan Hui
2026 J jnl
Missing Value Imputation in Relational Data Using Variational Inference.
J. Comput. Graph. Stat.
Simon Fontaine, Jian Kang, Ji Zhu
2026 J jnl
WGCTA-Net: Wavelet-Guided CNN-Transformer fusion with attention mechanism for PET/CT tumor segmentation.
Biomed. Signal Process. Control.
Yongwei Zheng, Zhanquan Sun, Suyun Chen, Hongliang Fu, Chaoli Wang, Ji Zhu
2025 J jnl
GSON: A Group-Based Social Navigation Framework With Large Multimodal Model.
IEEE Robotics Autom. Lett.
Shangyi Luo, Peng Sun, Ji Zhu, Yuhong Deng, Cunjun Yu, Anxing Xiao, Xueqian Wang
2025 J jnl
MTS-Net: research on multi-modal, multi-task, multi-stage tumor segmentation model for PET/CT.
Appl. Intell.
Yongwei Zheng, Zhanquan Sun, Suyun Chen, Hongliang Fu, Chaoli Wang, Ji Zhu
2025 J jnl
Mission-oriented secure semantic satellite communication.
Phys. Commun.
Han Chen, Yuanhao Li, Bao Feng, Qigong Xu, Xincheng Zhang, Jinghang Zheng, Ji Zhu
2025 J jnl
Understanding the Role of Large Language Models in Competitive Programming.
CoRR
Dongyijie Primo Pan, Ji Zhu, Lan Luo, Zhiqi Gao, Xin Tong, Pan Hui
2024 A conf
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations.
RecSys
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
2024 J jnl
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations.
CoRR
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
2024 J jnl
GSON: A Group-based Social Navigation Framework with Large Multimodal Model.
CoRR
Shangyi Luo, Ji Zhu, Peng Sun, Yuhong Deng, Cunjun Yu, Anxing Xiao, Xueqian Wang
2023 J jnl
Capturing the form of feature interactions in black-box models.
Inf. Process. Manag.
Hanying Zhang, Xiaohang Zhang, Tianbo Zhang, Ji Zhu
2022 J jnl
Reinforcement learning evaluation of treatment policies for patients with hepatitis C virus.
BMC Medical Informatics Decis. Mak.
Brandon Oselio, Amit G. Singal, Xuefei Zhang, Tony Van, Boang Liu, Ji Zhu, Akbar K. Waljee
2022 J jnl
Revealing the structure of prediction models through feature interaction detection.
Knowl. Based Syst.
Xiaohang Zhang, Hanying Zhang, Ji Zhu, Zhengren Li
2022 J jnl
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks.
J. Mach. Learn. Res.
Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu
2021 J jnl
Adapted time-varying covariates Cox model for predicting future cirrhosis development performs well in a large hepatitis C cohort.
BMC Medical Informatics Decis. Mak.
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
2021 — conf
Factors Affecting the Physical Education Practice Teaching Effect of University Students.
CIPAE
Ji Zhu
2020 A* conf
A Flexible Latent Space Model for Multilayer Networks.
ICML
Xuefei Zhang, Songkai Xue, Ji Zhu
2020 J jnl
An Approach of Spectra Standardization and Qualitative Identification for Biomedical Materials Based on Terahertz Spectroscopy.
Sci. Program.
Chenjun Shi, Ji Zhu, Mingqian Xu, Xu Wu, Yan Peng, Wenzheng Bao
2020 J jnl
Comment: Ridge Regression, Ranking Variables and Improved Principal Component Regression.
Technometrics
Nam-Hee Choi, Kerby Shedden, Gongjun Xu, Xuefei Zhang, Ji Zhu
2020 J jnl
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks.
CoRR
Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu
2019 A* conf
A Flexible Generative Framework for Graph-based Semi-supervised Learning.
NeurIPS
Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei
2019 J jnl
A Flexible Generative Framework for Graph-based Semi-supervised Learning.
CoRR
Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei
2019 A conf
An Attention-Based Hybrid Network for Automatic Detection of Alzheimer's Disease from Narrative Speech.
INTERSPEECH
Jun Chen, Ji Zhu, Jieping Ye
2019 J jnl
Covariance-insured screening.
Comput. Stat. Data Anal.
Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li
2018 J jnl
Covariance-Insured Screening.
CoRR
Kevin He, Jian Kang, Hyokyoung Grace Hong, Ji Zhu, Yanming Li, Huazhen Lin, Han Xu, Yi Li
2018 — conf
Properties Emulation on TD-LTE Electric Power Wireless Private.
ICCCS (5)
Shujie Lu, Jia Yu, Ji Zhu
2018 J jnl
Receiver responses to referral reward programs in social networks.
Electron. Commer. Res.
Qi Wang, Yunxia Mao, Ji Zhu, Xiaohang Zhang
2018 J jnl
The impact of uncertain rewards on customers' recommendation intention in social networks.
Internet Res.
Qi Wang, Yan Sun, Ji Zhu, Xiaohang Zhang
2017 J jnl
A Note on the Unification of Adaptive Online Learning.
IEEE Trans. Neural Networks Learn. Syst.
Wenwu He, James Tin-Yau Kwok, Ji Zhu, Yang Liu
2016 J jnl
Classification with Ultrahigh-Dimensional Features.
CoRR
Yanming Li, Hyokyoung Grace Hong, Jian Kang, Kevin He, Ji Zhu, Yi Li
2016 J jnl
Component-wise gradient boosting and false discovery control in survival analysis with high-dimensional covariates.
Bioinform.
Kevin He, Yanming Li, Ji Zhu, Hongliang Liu, Jeffrey E. Lee, Christopher I. Amos, Terry Hyslop, Jiashun Jin, Huazhen Lin, Qinyi Wei, Yi Li
2016 J jnl
Exploring the sequential usage patterns of mobile Internet services based on Markov models.
Electron. Commer. Res. Appl.
Xiaohang Zhang, Cenyue Wang, Zhengren Li, Ji Zhu, Wenhua Shi, Qi Wang
2015 J jnl
A Transfer Learning Approach for Predictive Modeling of Degenerate Biological Systems.
Technometrics
Na Zou, Yun Zhu, Ji Zhu, Mustafa Gökçe Baydogan, Wei Wang, Jing Li
2015 J jnl
Regularized Semiparametric Estimation for Ordinary Differential Equations.
Technometrics
Yun Li, Ji Zhu, Naisyin Wang
2015 J jnl
Two-Stage Regularized Linear Discriminant Analysis for 2-D Data.
IEEE Trans. Neural Networks Learn. Syst.
Jianhua Zhao, Lei Shi, Ji Zhu
2014 J jnl
Comment: Model Selection With Strong and Weak Heredity Constraints.
Technometrics
William Li, Ji Zhu
2013 J jnl
Identifying influential nodes in complex networks with community structure.
Knowl. Based Syst.
Xiaohang Zhang, Ji Zhu, Qi Wang, Han Zhao
2012 J jnl
Predicting customer churn through interpersonal influence.
Knowl. Based Syst.
Xiaohang Zhang, Ji Zhu, Shuhua Xu, Yan Wan
2012 J jnl
Predicting the Path of Technological Innovation: SAW vs. Moore, Bass, Gompertz, and Kryder.
Mark. Sci.
Ashish Sood, Gareth M. James, Gerard J. Tellis, Ji Zhu
2011 A* conf
Poster: on quantitative information flow metrics.
CCS
Ji Zhu, Mudhakar Srivatsa
2011 — conf
Quantifying Information Leakage in Finite Order Deterministic Programs.
ICC
Ji Zhu, Mudhakar Srivatsa
2011 J jnl
Recent Advances in Cloud Security.
J. Comput.
Jiyi Wu, Qianli Shen, Tong Wang, Ji Zhu, Jianlin Zhang
2011 J jnl
Reduced rank ridge regression and its kernel extensions.
Stat. Anal. Data Min.
Ashin Mukherjee, Ji Zhu
2010 J jnl
Financial market forecasting using a two-step kernel learning method for the support vector regression.
Ann. Oper. Res.
Li Wang, Ji Zhu
2010 J jnl
Image denoising via solution paths.
Ann. Oper. Res.
Li Wang, Ji Zhu
2010 J jnl
Quantifying Information Leakage in Finite Order Deterministic Programs
CoRR
Ji Zhu, Mudhakar Srivatsa
2009 — conf
Pathway Detection Based on Hierarchical LASSO Regression Model.
BMEI
Hao Zheng, Fugui Wang, Jiangfeng Xu, Nengfeng Zhou, Minping Qian, Ji Zhu, Minghua Deng
2009 J jnl
REMAS: a new regression model to identify alternative splicing events from exon array data.
BMC Bioinform.
Hao Zheng, Xingyi Hang, Ji Zhu, Minping Qian, Wubin Qu, Chenggang Zhang, Minghua Deng
2008 J jnl
Hybrid huberized support vector machines for microarray classification and gene selection.
Bioinform.
Li Wang, Ji Zhu, Hui Zou
2007 J jnl
Analysis of array CGH data for cancer studies using fused quantile regression.
Bioinform.
Youjuan Li, Ji Zhu
2007 J jnl
Efficient Computation and Model Selection for the Support Vector Regression.
Neural Comput.
Lacey Gunter, Ji Zhu
2007 A* conf
Hybrid huberized support vector machines for microarray classification.
ICML
Li Wang, Ji Zhu, Hui Zou
2007 J jnl
Improved centroids estimation for the nearest shrunken centroid classifier.
Bioinform.
Sijian Wang, Ji Zhu
2007 B conf
Variable Selection for Optimal Decision Making.
AIME
Lacey Gunter, Ji Zhu, Susan A. Murphy
2007 — ch.
Variable Selection for the Linear Support Vector Machine.
Trends in Neural Computation
Ji Zhu, Hui Zou
2006 — conf
A Semi-supervised SVM for Manifold Learning.
ICPR (2)
Zhili Wu, Chun-hung Li, Ji Zhu, Jian Huang
2006 B conf
Analysis of the Bioinformatics Grid Technique Applications in China.
CCGRID
Ji Zhu, Ang Guo, Zhonghua Lu, Yongwei Wu, Bin Shen, Xuebin Chi
2006 B conf
Deploying Scientific Applications to the PRAGMA Grid Testbed: Strategies and Lessons.
CCGRID
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
2006 A* conf
Regularized Least Absolute Deviations Regression and an Efficient Algorithm for Parameter Tuning.
ICDM
Li Wang, Michael D. Gordon, Ji Zhu
2006 — ch.
Sparse, Flexible and Efficient Modeling using L 1 Regularization.
Feature Extraction
Saharon Rosset, Ji Zhu
2005 — conf
Computing the Solution Path for the Regularized Support Vector Regression.
NIPS
Lacey Gunter, Ji Zhu
2004 C conf
The System Recovery Benchmark.
PRDC
James Mauro, Ji Zhu, Ira Pramanick
2003 C conf
A System Recovery Benchmark for Clusters.
CLUSTER
Ira Pramanick, James Mauro, Ji Zhu
2003 A conf
Robustness Benchmarking for Hardware Maintenance Events.
DSN
Ji Zhu, James Mauro, Ira Pramanick
2002 A conf
Automatic Generation of Availability Models in RAScad.
DSN
Dong Tang, Ji Zhu, Roy Andrada