Attention Mechanism Driven YOLOv3 on FPGA Acceleration for Efficient Vision Based Defect Inspection. - Longzhen Yu; Qian Zhao 001; Zhixian Wang (CSAE, 2021)

NAS-StegNet: Lightweight Image Steganography Networks via Neural Architecture Search. - Zhixian Wang; Guoqing Wang 001; Yang Yang 002 (ICONIP (3), 2022)

DiffLoad: Uncertainty Quantification in Load Forecasting with Diffusion Model. - Zhixian Wang; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Yi Wang 022 (CoRR, 2023)

Benchmarks and Custom Package for Electrical Load Forecasting. - Zhixian Wang; Qingsong Wen; Chaoli Zhang 001; Liang Sun 001; Leandro Von Krannichfeldt; Yi Wang 022 (CoRR, 2023)

An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network. - Wenlong Liao; Benjamin Schäfer 001; Dalin Qin; Gonghao Zhang; Zhixian Wang; Zhe Yang 007 (CoRR, 2023)

Multimodal Contrastive Learning for Protein-Protein Interaction Inhibitor Prediction. - Zitong Zhang; Zhixian Wang; Lingling Zhao; Junjie Wang 005; Chunyu Wang 002 (BIBM, 2024)

Task-oriented Time Series Imputation Evaluation via Generalized Representers. - Zhixian Wang; Linxiao Yang; Liang Sun 001; Qingsong Wen; Yi Wang 022 (NeurIPS, 2024)

Multimodal learning rebalanced: Negative correlation ensembles for improved performance. - Zhixian Wang; Tao Zhang 074; Wu Huang (Neural Networks, 2025)

Artemis: Defending Against Backdoor Attacks via Distribution Shift. - Meng Xue 001; Zhixian Wang; Qian Zhang 001; Xueluan Gong; Zhihang Liu; Yanjiao Chen (IEEE Trans. Dependable Secur. Comput., 2025)

Integrating an interpolation technique and AI models using Bayesian model averaging to enhance groundwater level monitoring. - Nan Wang; Zhixian Wang (Earth Sci. Informatics, 2025)

MobHAR: Source-free Knowledge Transfer for Human Activity Recognition on Mobile Devices. - Meng Xue 001; Yinan Zhu; Wentao Xie 001; Zhixian Wang; Yanjiao Chen; Kui Jiang; Qian Zhang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2025)

A Survey of Data Augmentation in Domain Generalization. - Yingyi Zhong; Wen'an Zhou; Zhixian Wang (Neural Process. Lett., 2025)