Zekai Chen

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 33

Top Topics

Multivariate Time Series

Groupwise Registration

Diffusion Models

Medical Image Analysis

Top Venues

IEEE Trans. Inf. Forensics Secur.

Publications

Zekai Chen, Min Sha, Chen Wei
On the generalized Fibonacci sequences of polynomials over finite fields. Finite Fields Their Appl. 97 (2024)
Zekai Chen, Weeden Daniel, Po-Yu Chen, Francois Buet-Golfouse
Online Personalizing White-box LLMs Generation with Neural Bandits. CoRR (2024)
Zekai Chen, Shengxing Yu, Farong Chen, Fuyi Wang, Ximeng Liu, Robert H. Deng
Lightweight Privacy-Preserving Cross-Cluster Federated Learning With Heterogeneous Data. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Fuyi Wang, Zekai Chen, Lei Pan, Leo Yu Zhang, Jianying Zhou
CryptGraph: An Efficient Privacy-Enhancing Solution for Accurate Shortest Path Retrieval in Cloud Environments. AsiaCCS (2024)
Yu-Lin Tsai, Yizhe Li, Zekai Chen, Po-Yu Chen, Chia-Mu Yu, Xuebin Ren, Francois Buet-Golfouse
Differentially Private Fine-Tuning of Diffusion Models. CoRR (2024)
Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. CoRR (2024)
Zekai Chen, Arda Pekis, Kevin Brown
Advancing High Resolution Vision-Language Models in Biomedicine. CoRR (2024)
Zekai Chen, Shengxing Yu, Mingyuan Fan, Ximeng Liu, Robert H. Deng
Privacy-Enhancing and Robust Backdoor Defense for Federated Learning on Heterogeneous Data. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Zekai Chen, Fuyi Wang, Zhiwei Zheng, Ximeng Liu, Yujie Lin
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data. ICME (2023)
Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. CoRR (2023)
Zekai Chen, Fuyi Wang, Shengxing Yu, Ximeng Liu, Zhiwei Zheng
FedCML: Federated Clustering Mutual Learning with non-IID Data. Euro-Par (2023)
Zhenhua Chen, Zekai Chen, Liangliang Zhou, Pengwu Zheng, Yuyu Xu
Exploring the National First-Class Specialty Construction of Pharmaceutical Engineering Under the Background of "New Engineering" Project. MMBD (2023)
Zekai Chen, Mariann Micsinai Balan, Kevin Brown
Language Models are Few-shot Learners for Prognostic Prediction. CoRR (2023)
Zekai Chen, Fuyi Wang, Zhiwei Zheng, Ximeng Liu, Yujie Lin
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data. CoRR (2023)
Hongzheng Yu, Zekai Chen, Xiao Zhang, Xu Chen, Fuzhen Zhuang, Hui Xiong, Xiuzhen Cheng
FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition. IEEE Trans. Mob. Comput. 22 (6) (2023)
Yueze Zhang, Zheng Zeng, Tianrui Wang, Zekai Chen, Ping Chen
Reimagining Public Utilities through AI-Driven User-Centric Multimodal Interaction: A Case Study on the Lighthouse System. CCHI (2023)
Hao Zhou, Zekai Chen, Yun Liu, Yongpan Sheng, Wenqi Ren, Hailing Xiong
Physical-priors-guided DehazeFormer. Knowl. Based Syst. 266 (2023)
Zekai Chen, Mariann Micsinai Balan, Kevin Brown
Boosting Transformers and Language Models for Clinical Prediction in Immunotherapy. ACL (industry) (2023)
Zekai Chen, Devansh Agarwal, Kshitij Aggarwal, Wiem Safta, Mariann Micsinai Balan, Kevin Brown
Masked Image Modeling Advances 3D Medical Image Analysis. WACV (2023)
Fangtian Zhong, Zekai Chen, Minghui Xu, Guoming Zhang, Dongxiao Yu, Xiuzhen Cheng
Malware-on-the-Brain: Illuminating Malware Byte Codes With Images for Malware Classification. IEEE Trans. Computers 72 (2) (2023)
Zhiwei Zheng, Zekai Chen, Ximeng Liu, Nan Jiang
Federated Community Detection in Social Networks. ML4CS (2) (2022)
Zekai Chen, Devansh Agarwal, Kshitij Aggarwal, Wiem Safta, Mariann Micsinai Balan, Venkat Sethuraman, Kevin Brown
Masked Image Modeling Advances 3D Medical Image Analysis. CoRR (2022)
Zekai Chen, Dingshuo Chen, Xiao Zhang, Zixuan Yuan, Xiuzhen Cheng
Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT. IEEE Internet Things J. 9 (12) (2022)
Zekai Chen, Xiao Zhang, Xiuzhen Cheng
ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition. AAAI (2022)
Zekai Chen, Fangtian Zhong, Qi Luo, Xiao Zhang, Yanwei Zheng
EdgeViT: Efficient Visual Modeling for Edge Computing. WASA (3) (2022)
Fangtian Zhong, Zekai Chen, Minghui Xu, Guoming Zhang, Dongxiao Yu, Xiuzhen Cheng
Malware-on-the-Brain: Illuminating Malware Byte Codes with Images for Malware Classification. CoRR (2021)
Zekai Chen, Maiwang Shi, Xiao Zhang, Haochao Ying
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework. CoRR (2021)
Zekai Chen, Dingshuo Chen, Zixuan Yuan, Xiuzhen Cheng, Xiao Zhang
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT. CoRR (2021)
Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng
Multi-Task Time Series Forecasting With Shared Attention. CoRR (2021)
Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng
DCAP: Deep Cross Attentional Product Network for User Response Prediction. CoRR (2021)
Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng
DCAP: Deep Cross Attentional Product Network for User Response Prediction. CIKM (2021)
Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng
Multi-Task Time Series Forecasting With Shared Attention. ICDM (Workshops) (2020)
Zhuohang Li, Lijian Wu, Zekai Chen, Yang Shi, Lin Qiu, Youtong Fang
Single- and Two-Phase Open-Circuit Fault Tolerant Control for Dual Three-Phase PM Motor Without Phase Shifting. IEEE Access 8 (2020)