Jinjin Zhao

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 34

Top Topics

Human Activity Recognition

Cognitive Models

Top Venues

Mob. Inf. Syst.

Publications

Jinjin Zhao, Avidgor Gal, Sanjay Krishnan
A System for Quantifying Data Science Workflows with Fine-Grained Procedural Logging and a Pilot Study. CoRR (2024)
Jinjin Zhao, Sanjay Krishnan
Compression and In-Situ Query Processing for Fine-Grained Array Lineage. CoRR (2024)
Jinjin Zhao, Avigdor Gal, Sanjay Krishnan
Data Makes Better Data Scientists. CoRR (2024)
Jinjin Zhao, Sanjay Krishnan
Compression and In-Situ Query Processing for Fine-Grained Array Lineage. ICDE (2024)
Jinjin Zhao, Ted Shaowang, Stavros Sintos, Sanjay Krishnan
Towards Causal Physical Error Discovery in Video Analytics Systems. CoRR (2024)
Yanling Wang, Yinzhen Pi, Li Hu, Zhihong Peng, Hanyang Hu, Jinjin Zhao, Yun Zhou, Dongbo Wang
Proteomic analysis of foot ulcer tissue reveals novel potential therapeutic targets of wound healing in diabetic foot ulcers. Comput. Biol. Medicine 159 (2023)
Jinjin Zhao, Avigdor Gal, Sanjay Krishnan
Data Makes Better Data Scientists. HILDA@SIGMOD (2023)
Siyuan Xia, Zhiru Zhu, Chris Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. CoRR (2023)
Weijie Xu, Xiaoyu Jiang, Srinivasan H. Sengamedu, Francis Iannacci, Jinjin Zhao
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport. CoRR (2023)
Shinan Liu, Tarun Mangla, Ted Shaowang, Jinjin Zhao, John Paparrizos, Sanjay Krishnan, Nick Feamster
AMIR: Active Multimodal Interaction Recognition from Video and Network Traffic in Connected Environments. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 7 (1) (2023)
Yan Yan, Yi-Chun Huang, Jinjin Zhao, Yu-Shi Liu, Liang Ma, Jing Yang, Xudong Yan, Jing Xiong, Lei Wang
Topological Nonlinear Analysis of Dynamical Systems in Wearable Sensor-Based Human Physical Activity Inference. IEEE Trans. Hum. Mach. Syst. 53 (4) (2023)
Weijie Xu, Xiaoyu Jiang, Srinivasan Sengamedu Hanumantha Rao, Francis Iannacci, Jinjin Zhao
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport. ACL (Findings) (2023)
Weijie Xu, Jinjin Zhao, Francis Iannacci, Bo Wang
FFPDG: Fast, Fair and Private Data Generation. CoRR (2023)
Siyuan Xia, Zhiru Zhu, Christopher Zhu, Jinjin Zhao, Kyle Chard, Aaron J. Elmore, Ian T. Foster, Michael J. Franklin, Sanjay Krishnan, Raul Castro Fernandez
Data Station: Delegated, Trustworthy, and Auditable Computation to Enable Data-Sharing Consortia with a Data Escrow. Proc. VLDB Endow. 15 (11) (2022)
Ted Shaowang, Jinjin Zhao, Stavros Sintos, Sanjay Krishnan
Towards causal physical error discovery in video analytics systems. HILDA@SIGMOD (2022)
Tianzheng Liao, Jinjin Zhao, Yushi Liu, Kamen Ivanov, Jing Xiong, Yan Yan
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition. BIBM (2022)
Yan Yan, Tianzheng Liao, Jinjin Zhao, Jiahong Wang, Liang Ma, Wei Lv, Jing Xiong, Lei Wang
Deep Transfer Learning with Graph Neural Network for Sensor-Based Human Activity Recognition. CoRR (2022)
Jinjin Zhao, Candace Thille, Neelesh Gattani, Dawn Zimmaro
A Novel Framework for Discovering Cognitive Models of Learning. L@S (2021)
Xiangyu Zou, Jinjin Zhao, Duan Zhao, Bin Sun, Yong-Xin He, Stelios Fuentes
Air Quality Prediction Based on a Spatiotemporal Attention Mechanism. Mob. Inf. Syst. 2021 (2021)
Jinjin Zhao, Candace Thille, Dawn Zimmaro
Data Mining for Discovering Cognitive Models of Learning. ICAAI (2021)
Jinjin Zhao
Improving the Quality of Left-Behind Children's Participation in Sports through Wireless Network Monitoring. Mob. Inf. Syst. 2021 (2021)
Jinjin Zhao, Xiangyu Zou, Yu Zhang, Youya Gu, Fan Wu, Zongwei Zhu
Key Location Discovery of Underground Personnel Trajectory Based on Edge Computing. MobiCASE (2020)
Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani
Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation. L@S (2020)
Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani
A Novel Approach for Knowledge State Representation and Prediction. L@S (2020)
Shreyansh P. Bhatt, Amit P. Sheth, Valerie L. Shalin, Jinjin Zhao
Knowledge Graph semantic enhancement of input data for improving AI. CoRR (2020)
Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani, Josh Walker
Introducing Alexa for E-learning. L@S (2020)
Shreyansh P. Bhatt, Amit P. Sheth, Valerie L. Shalin, Jinjin Zhao
Knowledge Graph Semantic Enhancement of Input Data for Improving AI. IEEE Internet Comput. 24 (2) (2020)
Xiangyu Zou, Bin Sun, Duan Zhao, Zongwei Zhu, Jinjin Zhao, Yong-Xin He
Multi-Modal Pedestrian Trajectory Prediction for Edge Agents Based on Spatial-Temporal Graph. IEEE Access 8 (2020)
Qilai Chen, Ying Zhang, Shuzhi Liu, Tingting Han, Xinhui Chen, Yanqing Xu, Ziqi Meng, Guanglei Zhang, Xuejun Zheng, Jinjin Zhao, Guozhong Cao, Gang Liu
Switchable Perovskite Photovoltaic Sensors for Bioinspired Adaptive Machine Vision. Adv. Intell. Syst. 2 (9) (2020)
Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Neelesh Gattani, Dawn Zimmaro
Cold Start Knowledge Tracing with Attentive Neural Turing Machine. L@S (2020)
Qilai Chen, Ying Zhang, Shuzhi Liu, Tingting Han, Xinhui Chen, Yanqing Xu, Ziqi Meng, Guanglei Zhang, Xuejun Zheng, Jinjin Zhao, Guozhong Cao, Gang Liu
Switchable Perovskite Photovoltaic Sensors for Bioinspired Adaptive Machine Vision. Adv. Intell. Syst. 2 (9) (2020)
Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani
Evaluating Bayesian Knowledge Tracing for Estimating Learner Proficiency and Guiding Learner Behavior. L@S (2020)
Zongwei Zhu, Junneng Zhang, Jinjin Zhao, Jing Cao, Duan Zhao, Gangyong Jia, Qingyong Meng
A Hardware and Software Task-Scheduling Framework Based on CPU+FPGA Heterogeneous Architecture in Edge Computing. IEEE Access 7 (2019)
Jinjin Zhao, He Ma, Qingyu Meng
DualSLIC: An Automatic Coarse-to-Fine Method on Pancreas Segmentation. SMC (2018)
Hong Tang, Hua Chen, Gang Zhao, Qiang Liu, Jinjin Zhao
The Vulnerability Analysis Framework for Java Bytecode. ICPADS (2009)