Robust High Dimensional Stream Classification with Novel Class Detection. - Zhuoyi Wang; Zelun Kong; Swarup Chandra; Hemeng Tao; Latifur Khan (ICDE, 2019)

Metric Learning based Framework for Streaming Classification with Concept Evolution. - Zhuoyi Wang; Hemeng Tao; Zelun Kong; Swarup Chandra; Latifur Khan (IJCNN, 2019)

Generating Adversarial Fragments with Adversarial Networks for Physical-world Implementation. - Zelun Kong; Cong Liu 005 (CoRR, 2019)

A General Analysis Framework for Soft Real-Time Tasks. - Zheng Dong 002; Cong Liu 005; Soroush Bateni; Zelun Kong; Liang He 002; Lingming Zhang 001; Ravi Prakash 001; Yuqun Zhang (IEEE Trans. Parallel Distributed Syst., 2019)

PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving. - Zelun Kong; Junfeng Guo; Ang Li; Cong Liu 005 (CVPR, 2020)

DeepBillboard: systematic physical-world testing of autonomous driving systems. - Husheng Zhou; Wei Li 159; Zelun Kong; Junfeng Guo; Yuqun Zhang; Bei Yu 001; Lingming Zhang 001; Cong Liu 005 (ICSE, 2020)

PoisHygiene: Detecting and Mitigating Poisoning Attacks in Neural Networks. - Junfeng Guo; Zelun Kong; Cong Liu 005 (CoRR, 2020)

LINTS^RT: A Learning-driven Testbed for Intelligent Scheduling in Embedded Systems. - Zelun Kong; Yaswanth Yadlapalli; Soroush Bateni; Junfeng Guo; Cong Liu 005 (CoRR, 2020)

Adv-Makeup: A New Imperceptible and Transferable Attack on Face Recognition. - Bangjie Yin; Wenxuan Wang 003; Taiping Yao; Junfeng Guo; Zelun Kong; Shouhong Ding; Jilin Li; Cong Liu 005 (IJCAI, 2021)

TZ-DATASHIELD: Automated Data Protection for Embedded Systems via Data-Flow-Based Compartmentalization. - Zelun Kong; Minkyung Park; Le Guan; Ning Zhang 017; Chung Hwan Kim (NDSS, 2025)