Multi-Task Time Series Forecasting With Shared Attention. - Zekai Chen; Jiaze E; Xiao Zhang 015; Hao Sheng 001; Xiuzheng Cheng 001 (ICDM (Workshops), 2020)

Single- and Two-Phase Open-Circuit Fault Tolerant Control for Dual Three-Phase PM Motor Without Phase Shifting. - Zhuohang Li; Lijian Wu; Zekai Chen; Yang Shi; Lin Qiu; Youtong Fang (IEEE Access, 2020)

DCAP: Deep Cross Attentional Product Network for User Response Prediction. - Zekai Chen; Fangtian Zhong; Zhumin Chen; Xiao Zhang 015; Robert Pless; Xiuzhen Cheng 001 (CIKM, 2021)

ASM2TV: An Adaptive Semi-Supervised Multi-Task Multi-View Learning Framework. - Zekai Chen; Maiwang Shi; Xiao Zhang 015; Haochao Ying (CoRR, 2021)

ASM2TV: An Adaptive Semi-supervised Multi-Task Multi-View Learning Framework for Human Activity Recognition. - Zekai Chen; Xiao Zhang 015; Xiuzhen Cheng 001 (AAAI, 2022)

Federated Community Detection in Social Networks. - Zhiwei Zheng; Zekai Chen; Ximeng Liu; Nan Jiang 013 (ML4CS (2), 2022)

EdgeViT: Efficient Visual Modeling for Edge Computing. - Zekai Chen; Fangtian Zhong; Qi Luo; Xiao Zhang 015; Yanwei Zheng (WASA (3), 2022)

Masked Image Modeling Advances 3D Medical Image Analysis. - Zekai Chen; Devansh Agarwal; Kshitij Aggarwal; Wiem Safta; Mariann Micsinai Balan; Venkat Sethuraman; Kevin Brown (CoRR, 2022)

Learning Graph Structures With Transformer for Multivariate Time-Series Anomaly Detection in IoT. - Zekai Chen; Dingshuo Chen; Xiao Zhang 015; Zixuan Yuan; Xiuzhen Cheng 001 (IEEE Internet Things J., 2022)

Boosting Transformers and Language Models for Clinical Prediction in Immunotherapy. - Zekai Chen; Mariann Micsinai Balan; Kevin Brown (ACL (industry), 2023)

Reimagining Public Utilities through AI-Driven User-Centric Multimodal Interaction: A Case Study on the Lighthouse System. - Yueze Zhang; Zheng Zeng; Tianrui Wang; Zekai Chen; Ping Chen (CCHI, 2023)

FedCML: Federated Clustering Mutual Learning with non-IID Data. - Zekai Chen; Fuyi Wang; Shengxing Yu; Ximeng Liu; Zhiwei Zheng (Euro-Par, 2023)

Fedward: Flexible Federated Backdoor Defense Framework with Non-IID Data. - Zekai Chen; Fuyi Wang; Zhiwei Zheng; Ximeng Liu; Yujie Lin (ICME, 2023)

Exploring the National First-Class Specialty Construction of Pharmaceutical Engineering Under the Background of "New Engineering" Project. - Zhenhua Chen; Zekai Chen; Liangliang Zhou; Pengwu Zheng; Yuyu Xu (MMBD, 2023)

Masked Image Modeling Advances 3D Medical Image Analysis. - Zekai Chen; Devansh Agarwal; Kshitij Aggarwal; Wiem Safta; Mariann Micsinai Balan; Kevin Brown (WACV, 2023)

Language Models are Few-shot Learners for Prognostic Prediction. - Zekai Chen; Mariann Micsinai Balan; Kevin Brown (CoRR, 2023)

Malware-on-the-Brain: Illuminating Malware Byte Codes With Images for Malware Classification. - Fangtian Zhong; Zekai Chen; Minghui Xu 001; Guoming Zhang; Dongxiao Yu; Xiuzhen Cheng 001 (IEEE Trans. Computers, 2023)

Physical-priors-guided DehazeFormer. - Hao Zhou; Zekai Chen; Yun Liu 002; Yongpan Sheng; Wenqi Ren; Hailing Xiong (Knowl. Based Syst., 2023)

FedHAR: Semi-Supervised Online Learning for Personalized Federated Human Activity Recognition. - Hongzheng Yu; Zekai Chen; Xiao Zhang 015; Xu Chen 004; Fuzhen Zhuang; Hui Xiong 001; Xiuzhen Cheng 001 (IEEE Trans. Mob. Comput., 2023)

CryptGraph: An Efficient Privacy-Enhancing Solution for Accurate Shortest Path Retrieval in Cloud Environments. - Fuyi Wang; Zekai Chen; Lei Pan 002; Leo Yu Zhang; Jianying Zhou 001 (AsiaCCS, 2024)

AdaptiveFL: Adaptive Heterogeneous Federated Learning for Resource-Constrained AIoT Systems. - Chentao Jia; Ming Hu 003; Zekai Chen; Yanxin Yang; Xiaofei Xie; Yang Liu 003; Mingsong Chen 001 (DAC, 2024)

Online Personalizing White-box LLMs Generation with Neural Bandits. - Zekai Chen; Po-Yu Chen; Francois Buet-Golfouse (ICAIF, 2024)

FedCL: Detecting Backdoor Attacks in Federated Learning with Confidence Levels. - Jinhe Long; Zekai Chen; Fuyi Wang; Jianping Cai; Ximeng Liu (ICME, 2024)

Online Personalizing White-box LLMs Generation with Neural Bandits. - Zekai Chen; Weeden Daniel; Po-Yu Chen; Francois Buet-Golfouse (CoRR, 2024)

Differentially Private Fine-Tuning of Diffusion Models. - Yu-Lin Tsai; Yizhe Li; Zekai Chen; Po-Yu Chen; Chia-Mu Yu; Xuebin Ren; Francois Buet-Golfouse (CoRR, 2024)

Advancing High Resolution Vision-Language Models in Biomedicine. - Zekai Chen; Arda Pekis; Kevin Brown (CoRR, 2024)

On the generalized Fibonacci sequences of polynomials over finite fields. - Zekai Chen; Min Sha; Chen Wei (Finite Fields Their Appl., 2024)

Lightweight Privacy-Preserving Cross-Cluster Federated Learning With Heterogeneous Data. - Zekai Chen; Shengxing Yu; Farong Chen; Fuyi Wang; Ximeng Liu; Robert H. Deng (IEEE Trans. Inf. Forensics Secur., 2024)

Privacy-Enhancing and Robust Backdoor Defense for Federated Learning on Heterogeneous Data. - Zekai Chen; Shengxing Yu; Mingyuan Fan 003; Ximeng Liu; Robert H. Deng (IEEE Trans. Inf. Forensics Secur., 2024)

FlexFL: Heterogeneous Federated Learning via APoZ-Guided Flexible Pruning in Uncertain Scenarios. - Zekai Chen; Chentao Jia; Ming Hu 003; Xiaofei Xie; Anran Li 001; Mingsong Chen 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Rethinking Robust Multivariate Time Series Anomaly Detection: A Hierarchical Spatio-Temporal Variational Perspective. - Xiao Zhang 015; Shuqing Xu; Huashan Chen; Zekai Chen; Fuzhen Zhuang; Hui Xiong 001; Dongxiao Yu (IEEE Trans. Knowl. Data Eng., 2024)

Enhancing Text-Video Retrieval Performance With Low-Salient but Discriminative Objects. - Yanwei Zheng; Bowen Huang; Zekai Chen; Dongxiao Yu (IEEE Trans. Image Process., 2025)