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ORCIDJingyi Su
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2020 – today
- 2023
[c10]Jingyi Su, Nan Zhang, Zhen Sun, Wenqing Yang:
Dynamic Knowledge Graph Algorithm for Electricity Knowledge. CIPAE 2023: 460-467- [c9]Peisen Gao, Jingyi Su, Zerui Xu, Xiaoming Yuan, Yuchuan Fu:
Heterogeneous Personalized Privacy Protection for Internet of Medical Things: A Blockchain-based Federated Learning Approach. iThings/GreenCom/CPSCom/SmartData/Cybermatics 2023: 377-382 - [i5]Yan Wu, Jingyi Su, David D. Moran, Chris D. Near:
Automated Software Testing Starting from Static Analysis: Current State of the Art. CoRR abs/2301.06215 (2023) - 2022
- [c8]Jingyi Su, Wei Jiang, Nan Zhang:
An entity linking method based on graph feature and electricity domain knowledge base. CIPAE 2022: 276-281 - [c7]Jingyi Su, Fan Meng, Shengheng Liu, Yongming Huang, Zhaohua Lu:
Learning to Predict and Optimize Imperfect MIMO System Performance: Framework and Application. GLOBECOM 2022: 335-340 - [c6]Zenan Sun, Jingyi Su, Donghyun Jeon, Alvaro Velasquez, Houbing Song
, Shuteng Niu:
Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection. IPCCC 2022: 65-72 - [c5]Jingyi Su, Shengheng Liu, Yongming Huang, Jinhong Yuan:
Peak-to-Average Power Ratio Reduction via Symbol Precoding in OTFS Modulation. VTC Spring 2022: 1-5 - 2020
- [c4]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CVPR Workshops 2020: 212-218 - [c3]Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng:
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture. CVPR Workshops 2020: 267-276 - [i4]Mang Tik Chiu, Xingqian Xu, Kai Wang, Jennifer A. Hobbs, Naira Hovakimyan, Thomas S. Huang, Honghui Shi, Yunchao Wei, Zilong Huang, Alexander G. Schwing, Robert Brunner, Ivan Dozier, Wyatt Dozier, Karen Ghandilyan, David Wilson, Hyunseong Park, Jun Hee Kim, Sungho Kim, Qinghui Liu, Michael C. Kampffmeyer, Robert Jenssen, Arnt-Børre Salberg, Alexandre Barbosa, Rodrigo G. Trevisan, Bingchen Zhao, Shaozuo Yu, Siwei Yang, Yin Wang, Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng, Van Thong Huynh, Soo-Hyung Kim, In Seop Na, Ujjwal Baid, Shubham Innani, Prasad Dutande, Bhakti Baheti, Sanjay N. Talbar, Jianyu Tang:
The 1st Agriculture-Vision Challenge: Methods and Results. CoRR abs/2004.09754 (2020) - [i3]Hao Sheng, Xiao Chen, Jingyi Su, Ram Rajagopal, Andrew Y. Ng:
Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture. CoRR abs/2005.03743 (2020) - [i2]Eric Li, Jingyi Su, Hao Sheng, Lawrence Wai:
AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments. CoRR abs/2012.01186 (2020)
2010 – 2019
- 2018
- [c2]Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho:
Breast Density Classification with Deep Convolutional Neural Networks. ICASSP 2018: 6682-6686 - [c1]Jingyi Su, Mohd Arafat, Robert Dyer:
Using consensus to automatically infer post-conditions. ICSE (Companion Volume) 2018: 202-203 - 2017
- [i1]Nan Wu, Krzysztof J. Geras, Yiqiu Shen, Jingyi Su, Sungheon Gene Kim, Eric Kim, Stacey Wolfson, Linda Moy, Kyunghyun Cho:
Breast density classification with deep convolutional neural networks. CoRR abs/1711.03674 (2017)
Coauthor Index
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