Breast Density Classification with Deep Convolutional Neural Networks. - Nan Wu; Krzysztof J. Geras; Yiqiu Shen; Jingyi Su; Sungheon Gene Kim; Eric Kim; Stacey Wolfson; Linda Moy; Kyunghyun Cho (ICASSP, 2018)

Using consensus to automatically infer post-conditions. - Jingyi Su; Mohd Arafat; Robert Dyer 001 (ICSE (Companion Volume), 2018)

The 1st Agriculture-Vision Challenge: Methods and Results. - Mang Tik Chiu; Xingqian Xu; Kai Wang 058; Jennifer A. Hobbs; Naira Hovakimyan; Thomas S. Huang; Honghui Shi; Yunchao Wei; Zilong Huang; Alexander G. Schwing; Robert Brunner; Ivan Dozier; et al. (CVPR Workshops, 2020)

Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture. - Hao Sheng 003; Xiao Chen 014; Jingyi Su; Ram Rajagopal; Andrew Y. Ng (CVPR Workshops, 2020)

AGenT Zero: Zero-shot Automatic Multiple-Choice Question Generation for Skill Assessments. - Eric Li; Jingyi Su; Hao Sheng 003; Lawrence Wai (CoRR, 2020)

An entity linking method based on graph feature and electricity domain knowledge base. - Jingyi Su; Wei Jiang; Nan Zhang (CIPAE, 2022)

Learning to Predict and Optimize Imperfect MIMO System Performance: Framework and Application. - Jingyi Su; Fan Meng; Shengheng Liu; Yongming Huang 001; Zhaohua Lu (GLOBECOM, 2022)

Reinforced Contrastive Graph Neural Networks (RCGNN) for Anomaly Detection. - Zenan Sun; Jingyi Su; Donghyun Jeon; Alvaro Velasquez; Houbing Song; Shuteng Niu (IPCCC, 2022)

Peak-to-Average Power Ratio Reduction via Symbol Precoding in OTFS Modulation. - Jingyi Su; Shengheng Liu; Yongming Huang 001; Jinhong Yuan (VTC Spring, 2022)

Dynamic Knowledge Graph Algorithm for Electricity Knowledge. - Jingyi Su; Nan Zhang; Zhen Sun; Wenqing Yang (CIPAE, 2023)

Heterogeneous Personalized Privacy Protection for Internet of Medical Things: A Blockchain-based Federated Learning Approach. - Peisen Gao; Jingyi Su; Zerui Xu; Xiaoming Yuan 002; Yuchuan Fu (iThings/GreenCom/CPSCom/SmartData/Cybermatics, 2023)

Automated Software Testing Starting from Static Analysis: Current State of the Art. - Yan Wu; Jingyi Su; David D. Moran; Chris D. Near (CoRR, 2023)