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ORCIDZekai Chen
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j10]Zekai Chen, Min Sha
, Chen Wei:
On the generalized Fibonacci sequences of polynomials over finite fields. Finite Fields Their Appl. 97: 102446 (2024)- [j9]Zekai Chen, Chentao Jia, Ming Hu, Xiaofei Xie, Anran Li, Mingsong Chen:
FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(11): 4069-4080 (2024) - [j8]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: 693-707 (2024) - [j7]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: 7404-7419 (2024) - [j6]Xiao Zhang, Shuqing Xu, Huashan Chen, Zekai Chen, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu:
Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective. IEEE Trans. Knowl. Data Eng. 36(12): 9136-9149 (2024) - [c15]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 - [c14]Chentao Jia, Ming Hu, Zekai Chen, Yanxin Yang, Xiaofei Xie, Yang Liu, Mingsong Chen:
AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. DAC 2024: 84:1-84:6 - [c13]Zekai Chen, Po-Yu Chen, Francois Buet-Golfouse:
Online Personalizing White-box LLMs Generation with Neural Bandits. ICAIF 2024: 711-718 - [c12]Jinhe Long, Zekai Chen, Fuyi Wang, Jianping Cai, Ximeng Liu:
FedCL: Detecting Backdoor Attacks in Federated Learning with Confidence Levels. ICME 2024: 1-6 - [i13]Zekai Chen, Weeden Daniel, Po-Yu Chen, Francois Buet-Golfouse:
Online Personalizing White-box LLMs Generation with Neural Bandits. CoRR abs/2404.16115 (2024) - [i12]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 abs/2406.01355 (2024) - [i11]Zekai Chen, Arda Pekis, Kevin Brown:
Advancing High Resolution Vision-Language Models in Biomedicine. CoRR abs/2406.09454 (2024) - [i10]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 abs/2407.12729 (2024) - 2023
- [j5]Hao Zhou, Zekai Chen, Yun Liu, Yongpan Sheng, Wenqi Ren, Hailing Xiong:
Physical-priors-guided DehazeFormer. Knowl. Based Syst. 266: 110410 (2023) - [j4]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): 438-451 (2023) - [j3]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): 3318-3332 (2023) - [c11]Zekai Chen, Mariann Micsinai Balan, Kevin Brown:
Boosting Transformers and Language Models for Clinical Prediction in Immunotherapy. ACL (industry) 2023: 332-340 - [c10]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: 81-96 - [c9]Zekai Chen, Fuyi Wang, Shengxing Yu, Ximeng Liu, Zhiwei Zheng:
FedCML: Federated Clustering Mutual Learning with non-IID Data. Euro-Par 2023: 623-636 - [c8]Zekai Chen, Fuyi Wang, Zhiwei Zheng, Ximeng Liu, Yujie Lin:
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data. ICME 2023: 348-353 - [c7]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: 455-462 - [c6]Zekai Chen, Devansh Agarwal, Kshitij Aggarwal, Wiem Safta, Mariann Micsinai Balan, Kevin Brown:
Masked Image Modeling Advances 3D Medical Image Analysis. WACV 2023: 1969-1979 - [i9]Zekai Chen, Mariann Micsinai Balan, Kevin Brown:
Language Models are Few-shot Learners for Prognostic Prediction. CoRR abs/2302.12692 (2023) - [i8]Zekai Chen, Fuyi Wang, Zhiwei Zheng, Ximeng Liu, Yujie Lin:
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data. CoRR abs/2307.00356 (2023) - [i7]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 abs/2311.13166 (2023) - 2022
- [j2]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): 9179-9189 (2022) - [c5]Zekai Chen, Xiao Zhang, Xiuzhen Cheng:
ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition. AAAI 2022: 6342-6349 - [c4]Zhiwei Zheng, Zekai Chen, Ximeng Liu, Nan Jiang:
Federated Community Detection in Social Networks. ML4CS (2) 2022: 89-103 - [c3]Zekai Chen, Fangtian Zhong, Qi Luo, Xiao Zhang, Yanwei Zheng:
EdgeViT: Efficient Visual Modeling for Edge Computing. WASA (3) 2022: 393-405 - [i6]Zekai Chen, Devansh Agarwal, Kshitij Aggarwal, Wiem Safta, Mariann Micsinai Balan, Venkat Sethuraman, Kevin Brown:
Masked Image Modeling Advances 3D Medical Image Analysis. CoRR abs/2204.11716 (2022) - 2021
- [c2]Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng:
DCAP: Deep Cross Attentional Product Network for User Response Prediction. CIKM 2021: 221-230 - [i5]Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng:
Multi-Task Time Series Forecasting With Shared Attention. CoRR abs/2101.09645 (2021) - [i4]Zekai Chen, Dingshuo Chen, Zixuan Yuan, Xiuzhen Cheng, Xiao Zhang:
Learning Graph Structures with Transformer for Multivariate Time Series Anomaly Detection in IoT. CoRR abs/2104.03466 (2021) - [i3]Zekai Chen, Maiwang Shi, Xiao Zhang, Haochao Ying:
ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework. CoRR abs/2105.08643 (2021) - [i2]Zekai Chen, Fangtian Zhong, Zhumin Chen, Xiao Zhang, Robert Pless, Xiuzhen Cheng:
DCAP: Deep Cross Attentional Product Network for User Response Prediction. CoRR abs/2105.08649 (2021) - [i1]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 abs/2108.04314 (2021) - 2020
- [j1]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: 171945-171955 (2020) - [c1]Zekai Chen, Jiaze E, Xiao Zhang, Hao Sheng, Xiuzheng Cheng:
Multi-Task Time Series Forecasting With Shared Attention. ICDM (Workshops) 2020: 917-925
Coauthor Index
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