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Yijun Zhao
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2020 – today
- 2024
- [j13]Yijun Zhao, Fajian Jiang, Yin Pang, Yunxi Deng, Youyou Han, Jinfeng Wang:
EduLGCL: Local-global contrastive learning model for education recommendation. Knowl. Based Syst. 286: 111357 (2024) - [c47]Yijun Zhao, Sizhou Zhang, Jiacheng Cao, Jiarong Zhang:
MagSurface: Design and Fabrication of Conductive Composites for Motion Effects on Paper. Conference on Designing Interactive Systems (Companion Volume) 2024 - [c46]Yijun Zhao, Yiming Cheng, Shiying Ding, Yan Fang, Wei Cao, Ke Liu, Jiacheng Cao:
Magic Camera: An AI Drawing Game Supporting Instantaneous Story Creation for Children. IDC 2024: 738-743 - [c45]Lingjing Yu, Jingli Hao, Jun Ma, Yong Sun, Yijun Zhao, Bo Luo:
A Comprehensive Analysis of Security Vulnerabilities and Attacks in Satellite Modems. CCS 2024: 3287-3301 - [c44]Yijun Zhao, Jiangyu Pan, Yan Dong, Tianshu Dong, Guanyun Wang, Fangtian Ying, Qihang Shen, Jiacheng Cao:
Language Urban Odyssey: A Serious Game for Enhancing Second Language Acquisition through Large Language Models. CHI Extended Abstracts 2024: 219:1-219:7 - [c43]Yijun Zhao, Yang Zhou, Duola Jin, Tianshu Dong, Guanyun Wang, Fangtian Ying, Qihang Shen, Jiacheng Cao:
Towards Equitable CPR: An Interactive System for Female CPR Training. CHI Extended Abstracts 2024: 330:1-330:5 - [c42]Sheng Yun, Haoran Xue, Xueqing Zhang, Junkai Zhang, Yijun Zhao:
Enhancing Crime Investigation: Attention-Based GAN for Sketch-to-Portrait Conversion. COMPSAC 2024: 390-395 - [c41]Fernando Martinez, Gary M. Weiss, Miguel Palma, Haoran Xue, Alexander Borelli, Yijun Zhao:
GPT vs. Llama2: Which Comes Closer to Human Writing? EDM 2024 - [c40]Yijun Zhao, Zhengxin Qi, Son Tung Do, John Grossi, Jee Hun Kang, Gary M. Weiss:
Predicting GRE Scores from Application Materials in Test-Optional Admissions. EDM 2024 - [c39]Yi Ding, Daniel D. Leeds, Yijun Zhao, Gary Weiss:
Introduction to the Minitrack on Educational Data Mining for Decision Making. HICSS 2024: 1275 - [c38]Yijun Zhao, Tianyu Wang, Douglas Mensah, Ellise Parnoff, Siyi He, Gary Weiss:
A Quantitative Machine Learning Approach to Evaluating Letters of Recommendation. HICSS 2024: 1276-1284 - [c37]Xiubo Liang, Ge Chao, Mengjian Li, Yijun Zhao:
Knowledge Distill for Spiking Neural Networks. IJCNN 2024: 1-8 - [c36]Yijun Zhao, Lingjing Yu, Yong Sun, Qingyun Liu, Bo Luo:
No Source Code? No Problem! Demystifying and Detecting Mask Apps in iOS. ICPC 2024: 358-369 - [c35]Khalifa Afane, Yijun Zhao:
Selecting Classifiers and Resampling Techniques for Imbalanced Datasets: A New Perspective. KES 2024: 1150-1159 - 2023
- [j12]Zhigang Liu, Qi Wang, Miao Wang, Yijun Zhao:
Occluded Person Re-Identification With Pose Estimation Correction and Feature Reconstruction. IEEE Access 11: 14906-14914 (2023) - [j11]Yicheng Chen, Xin Feng, Xie-Qi Shi, Weihua Cai, Biao Li, Yijun Zhao:
Evaluation of computational fluid dynamics models for predicting pediatric upper airway airflow characteristics. Medical Biol. Eng. Comput. 61(1): 259-270 (2023) - [j10]Haowen Liu, Fengxian Wu, Bin Zhong, Yijun Zhao, Jiatong Zhang, Wenxin Niu, Mingming Zhang:
Close-Range Human Following Control on a Cane-Type Robot With Multi-Camera Fusion. IEEE Robotics Autom. Lett. 8(10): 6443-6450 (2023) - [c34]Fernando Martinez, Yijun Zhao:
Integrating Multiple Visual Attention Mechanisms in Deep Neural Networks. COMPSAC 2023: 1191-1196 - [c33]Yijun Zhao, Zefan Du, Shengjian Xu, Yu Cheng, Jiachen Mu, Michael Ning:
Social Media, Market Sentiment and Meme Stocks. COMPSAC 2023: 1197-1202 - [c32]Yijun Zhao, Fajian Jiang, Jinfeng Wang:
MFGCL: Light graph contrast learning with multi-feature information for recommendation. IJCNN 2023: 1-8 - [c31]Yijun Zhao, Yiming Cheng, Sizhou Zhang, Yan Fang, Xiaojing Zhou, Jiacheng Cao:
MathForest: A Tangible Collaborative Game for Developing Children's Spatial Skills. ISCID 2023: 209-213 - [i3]Haowen Liu, Fengxian Wu, Bin Zhong, Yijun Zhao, Jiatong Zhang, Wenxin Niu, Mingming Zhang:
Close-range Human Following Control on a Cane-type Robot with Multi-camera Fusion. CoRR abs/2305.03354 (2023) - 2022
- [j9]Yijun Zhao, Man Qin, April Jorge:
A Calibrated Ensemble Algorithm to Address Data Heterogeneity in Machine Learning: An Application to Identify Severe SLE Flares in Lupus Patients. IEEE Access 10: 18720-18729 (2022) - [j8]Jiagang Qu, Weihua Cai, Yijun Zhao:
Learning time-dependent PDEs with a linear and nonlinear separate convolutional neural network. J. Comput. Phys. 453: 110928 (2022) - [j7]Shangjin Li, Yijun Zhao:
Addressing Motion Blurs in Brain MRI Scans Using Conditional Adversarial Networks and Simulated Curvilinear Motions. J. Imaging 8(4): 84 (2022) - [j6]Zhaoyang Wang, Zhiping Jia, Zhaoyan Shen, Yijun Zhao, Renhai Chen:
Optimization for deep convolutional neural network of stochastic computing on MLC-PCM-based system. Microprocess. Microsystems 90: 104505 (2022) - [c30]Xiubo Liang, Jing Zhang, Jiayi Ma, Jiayu Yao, Weijia Lin, Zheliang Zhu, Yingying Ma, Fangtian Ying, Cheng Yao, Leijing Zhou, Preben Hansen, Yijun Zhao, Guanyun Wang:
Menstrual Monster: A Tangible Interactive Co-educational Game Designed for Teenagers. CHI Extended Abstracts 2022: 247:1-247:7 - [c29]Jintao Nie, Yijun Zhao, Bing Yao, Zheng Xu, Jiayan Chen, Changchao Yu, Preben Hansen, Jianhui Liu, Jiadi Wang, Ge Yan, Cheng Yao, Leijing Zhou, Fangtian Ying, Xiubo Liang, Guanyun Wang:
SignFind: A Synchronized Sign Language and Chinese Character Teaching Game for Chinese Deaf Children Using Gesture Recognition. CHI Extended Abstracts 2022: 257:1-257:7 - [c28]Jianhui Liu, Yijun Zhao, Jiadi Wang, Chenyi Xie, Fangyuan Cheng, Jintao Nie, Ge Yan, Cheng Yao, Leijing Zhou, Preben Hansen, Fangtian Ying, Guanyun Wang:
Pababy: An Interactive System for First-time Parents to Learn Neonatal Nursing. CHI Extended Abstracts 2022: 320:1-320:7 - [c27]Yepu Wang, Yiting Wang, Chuyue Zhong, Yijun Zhao:
Assessing Deep Learning Approaches in Detecting Masked Facial Expressions. COMPSAC 2022: 994-997 - [c26]Wei Liu, Jiarui Zhang, Yijun Zhao:
A Comparison of Deep Learning and Traditional Machine Learning Approaches in Detecting Cognitive Impairment Using MRI Scans. COMPSAC 2022: 998-1001 - [c25]Yepu Wang, Yiting Wang, Chuyue Zhong, Yijun Zhao:
US County-level Risk Factors Associated with COVID-19 Exacerbation During the Vaccination Era. COMPSAC 2022: 1318-1323 - [c24]Daniel D. Leeds, Cody Chen, Yijun Zhao, Fiza Metla, James Guest, Gary Weiss:
Generalized Sequential Pattern Mining of Undergraduate Courses. EDM 2022 - [c23]Qiangwen Xu, Mengyao Sun, Bailing Fu, Yijun Zhao:
Deep Learning Based Parking Vacancy Detection for Smart Cities. HICSS 2022: 1-7 - [c22]Yijun Zhao, Tanuja Chitnis:
Dirichlet Mixture of Gaussian Processes with Split-kernel: An Application to Predicting Disease Course in Multiple Sclerosis Patients. IJCNN 2022: 1-8 - [c21]Yijun Zhao:
A Novel Piece-wise Non-singular Fast Terminal Sliding Mode Control for Second-order Nonlinear System. WAC 2022: 18-22 - 2021
- [j5]Wei Yang, Linlin Zhuo, Jing Zeng, Yijun Zhao, Qiaojie Jiang, Dongliang Xie:
MVTLR-HCFS: Density Peak Algorithm Based on Multi-View and Tensor Low Rank Expression. IEEE Access 9: 14619-14629 (2021) - [j4]Sarah Bai, Yijun Zhao:
Startup Investment Decision Support: Application of Venture Capital Scorecards Using Machine Learning Approaches. Syst. 9(3): 55 (2021) - [c20]Yajing Hu, Yijun Zhao, Yaping Shao, Can Zhu, Jiayan Chen, Tianlei Shi, Zili Zhou, Fangtian Ying, Guanyun Wang, Cheng Yao:
Bubble Beats: A Breathing Exercise Game Based on Music Rhythm for Children. IDC 2021: 588-592 - [c19]Lingyun Sun, Jiaji Li, Danli Luo, Ziqi Fang, Yitao Fan, Zhi Yu, Yu Chen, Deying Pan, Yue Yang, Yijun Zhao, Jianzhe Gu, Lining Yao, Ye Tao, Guanyun Wang:
Fashion Design with FlexTruss Approach. CHI Extended Abstracts 2021: 179:1-179:4 - [c18]Yijun Zhao, Yong Shen, Xiaoqing Wang, Jiacheng Cao, Shang Xia, Fangtian Ying, Guanyun Wang:
PneuMat: Pneumatic Interaction System for Infant Sleep Safety Using Shape-Changing Interfaces. CHI Extended Abstracts 2021: 227:1-227:7 - [c17]Yijun Zhao, Changchao Yu, Jintao Nie, Mengmeng Dong, Yingying Sang, Fangtian Ying, Guanyun Wang:
FunEat: An Interactive Tableware for Improving Eating Habits in Children. CHI Extended Abstracts 2021: 287:1-287:5 - [c16]Chao Zhang, Cheng Yao, Jianhui Liu, Zili Zhou, Weilin Zhang, Lijuan Liu, Fangtian Ying, Yijun Zhao, Guanyun Wang:
StoryDrawer: A Co-Creative Agent Supporting Children's Storytelling through Collaborative Drawing. CHI Extended Abstracts 2021: 354:1-354:6 - [c15]Yun Shi, Zhiyao Wu, Shaolun Zhang, Hong Xiao, Yijun Zhao:
Assessing Palliative Care Needs Using Machine Learning Approaches. COMPSAC 2021: 297-302 - [c14]Hui Yuan, Wenjia Zheng, Yun Song, Yijun Zhao:
Parallel Deep Neural Networks for Musical Genre Classification: A Case Study. COMPSAC 2021: 1032-1035 - [c13]Yao Xiao, Yijun Zhao:
Preserving Gender and Identity in Face Age Progression of Infants and Toddlers. IJCB 2021: 1-8 - [c12]Yijun Zhao, Jacek Ossowski, Xuming Wang, Shangjin Li, Orrin Devinsky, Samantha P. Martin, Heath R. Pardoe:
Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques. IJCNN 2021: 1-9 - [c11]Yijun Zhao, Bing Li, Yuyang Li, Jing Zhou, Jiacheng Cao, Yujing Luo, Xinyu Zhou, Cheng Yao, Lei Shi, Guanyun Wang:
Rope X: Assistance and Guidance on Jumping Rope Frequency, based on Real-time, Heart Rate Feedback During Exercise. UIST (Adjunct Volume) 2021: 63-65 - 2020
- [j3]Yijun Zhao, Tong Wang, Riley Bove, Bruce Cree, Roland Henry, Hrishikesh Lokhande, Mariann Polgar-Turcsanyi, Mark Anderson, Rohit Bakshi, Howard L. Weiner, Tanuja Chitnis:
Author Correction: Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. npj Digit. Medicine 3 (2020) - [j2]Yijun Zhao, Tong Wang, Riley Bove, Bruce Cree, Roland Henry, Hrishikesh Lokhande, Mariann Polgar-Turcsanyi, Mark Anderson, Rohit Bakshi, Howard L. Weiner, Tanuja Chitnis:
Ensemble learning predicts multiple sclerosis disease course in the SUMMIT study. npj Digit. Medicine 3 (2020) - [c10]Yijun Zhao, Bryan Lackaye, Jennifer G. Dy, Carla E. Brodley:
A Quantitative Machine Learning Approach to Master Students Admission for Professional Institutions. EDM 2020 - [c9]Yijun Zhao, Qiangwen Xu, Ming Chen, Gary Weiss:
Predicting Student Performance in a Master's Program in Data Science using Admissions Data. EDM 2020 - [c8]Yijun Zhao, Matias Berretta, Tong Wang, Tanuja Chitnis:
GRU-DF: A Temporal Model with Dynamic Imputation for Missing Target Values in Longitudinal Patient Data. ICHI 2020: 1-7 - [c7]Yijun Zhao, Igbe Tobore, Wenbin Yan, Dashun Que:
A Computer-Aided Diagnosis System of Breast Lesion Classification Based on Multi Angle Fusion Strategy in Ultrasound Images. VSIP 2020: 42-47 - [i2]Yijun Zhao, Jacek Ossowski, Xuming Wang, Shangjin Li, Orrin Devinsky, Samantha P. Martin, Heath R. Pardoe:
Localized Motion Artifact Reduction on Brain MRI Using Deep Learning with Effective Data Augmentation Techniques. CoRR abs/2007.05149 (2020) - [i1]Yao Xiao, Yijun Zhao:
Enhance Gender and Identity Preservation in Face Aging Simulation for Infants and Toddlers. CoRR abs/2011.07431 (2020)
2010 – 2019
- 2018
- [c6]Cheng Yao, Bing Li, Fangtian Ying, Ting Zhang, Yijun Zhao:
VisHair: A Wearable Fashion Hair Lighting Interaction System. HCI (21) 2018: 146-155 - 2017
- [c5]Cheng Zheng, Caowei Zhang, Xuan Li, Bing Li, Fan Zhang, Xin Liu, Cheng Yao, Yijun Zhao, Fangtian Ying:
An EEG-based Adaptive Training System for ASD Children. UIST (Adjunct Volume) 2017: 197-199 - 2016
- [j1]Yijun Zhao, Xiaoxuan Zhang:
含有效冲突的恒定连续Petri网演变图及构造算法 (Developing Graph and Generating Algorithm for Constant Continuous Petri Net with Effective Conflict). 计算机科学 43(11): 98-101 (2016) - [c4]Yijun Zhao, Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Jennifer G. Dy, Carla E. Brodley, Ruben Kuzniecky, Orrin Devinsky:
A Non-parametric Approach to Detect Epileptogenic Lesions using Restricted Boltzmann Machines. KDD 2016: 373-382 - 2015
- [c3]Yijun Zhao, Tanuja Chitnis, Brian C. Healy, Jennifer G. Dy, Carla E. Brodley:
Domain Induced Dirichlet Mixture of Gaussian Processes: An Application to Predicting Disease Progression in Multiple Sclerosis Patients. ICDM 2015: 1129-1134 - 2014
- [c2]Bilal Ahmed, Thomas Thesen, Karen E. Blackmon, Yijun Zhao, Orrin Devinsky, Ruben Kuzniecky, Carla E. Brodley:
Hierarchical Conditional Random Fields for Outlier Detection: An Application to Detecting Epileptogenic Cortical Malformations. ICML 2014: 1080-1088 - [c1]Yijun Zhao, Carla E. Brodley, Tanuja Chitnis, Brian C. Healy:
Addressing Human Subjectivity via Transfer Learning: An Application to Predicting Disease Outcome in Multiple Sclerosis Patients. SDM 2014: 965-973
Coauthor Index
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