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Publication search results
found 36 matches
- 2024
- Jinjin Zhao, Sanjay Krishnan:
Compression and In-Situ Query Processing for Fine-Grained Array Lineage. ICDE 2024: 3654-3667 - Jinjin Zhao, Ted Shaowang, Stavros Sintos, Sanjay Krishnan:
Towards Causal Physical Error Discovery in Video Analytics Systems. CoRR abs/2405.17686 (2024) - Jinjin Zhao, Avigdor Gal, Sanjay Krishnan:
Data Makes Better Data Scientists. CoRR abs/2405.17690 (2024) - Jinjin Zhao, Sanjay Krishnan:
Compression and In-Situ Query Processing for Fine-Grained Array Lineage. CoRR abs/2405.17701 (2024) - Jinjin Zhao, Avidgor Gal, Sanjay Krishnan:
A System for Quantifying Data Science Workflows with Fine-Grained Procedural Logging and a Pilot Study. CoRR abs/2405.17845 (2024) - 2023
- 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: 106858 (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): 21:1-21:26 (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): 792-801 (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: 4433-4457 - Jinjin Zhao, Avigdor Gal, Sanjay Krishnan:
Data Makes Better Data Scientists. HILDA@SIGMOD 2023: 12:1-12:3 - 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 abs/2305.03842 (2023) - Weijie Xu, Jinjin Zhao, Francis Iannacci, Bo Wang:
FFPDG: Fast, Fair and Private Data Generation. CoRR abs/2307.00161 (2023) - Weijie Xu, Xiaoyu Jiang, Srinivasan H. Sengamedu, Francis Iannacci, Jinjin Zhao:
vONTSS: vMF based semi-supervised neural topic modeling with optimal transport. CoRR abs/2307.01226 (2023) - 2022
- 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. Proc. VLDB Endow. 15(11): 3172-3185 (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: 2445-2452 - Ted Shaowang, Jinjin Zhao, Stavros Sintos, Sanjay Krishnan:
Towards causal physical error discovery in video analytics systems. HILDA@SIGMOD 2022: 10:1-10:6 - Yan Yan, Dali Chen, Yushi Liu, Jinjin Zhao, Bo Wang, Xuankun Wu, Xiaohao Jiao, Yuqian Chen, Huihui Li, Xuchao Ren:
TNDA-HAR. IEEE DataPort, 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 abs/2203.07910 (2022) - 2021
- Jinjin Zhao:
Improving the Quality of Left-Behind Children's Participation in Sports through Wireless Network Monitoring. Mob. Inf. Syst. 2021: 3981893:1-3981893:10 (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: 6630944:1-6630944:12 (2021) - Jinjin Zhao, Candace Thille, Dawn Zimmaro:
Data Mining for Discovering Cognitive Models of Learning. ICAAI 2021: 130-139 - Jinjin Zhao, Candace Thille, Neelesh Gattani, Dawn Zimmaro:
A Novel Framework for Discovering Cognitive Models of Learning. L@S 2021: 271-274 - 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: 83321-83332 (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): 2000122 (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): 2070092 (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): 66-72 (2020) - Shreyansh P. Bhatt, Jinjin Zhao, Candace Thille, Dawn Zimmaro, Neelesh Gattani:
A Novel Approach for Knowledge State Representation and Prediction. L@S 2020: 353-356 - 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: 357-360 - Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Neelesh Gattani, Dawn Zimmaro:
Cold Start Knowledge Tracing with Attentive Neural Turing Machine. L@S 2020: 333-336 - Jinjin Zhao, Shreyansh P. Bhatt, Candace Thille, Dawn Zimmaro, Neelesh Gattani:
Interpretable Personalized Knowledge Tracing and Next Learning Activity Recommendation. L@S 2020: 325-328
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