The Hybrid Algorithms Based on Differential Evolution for Satellite Layout Optimization Design. - Xianqi Chen; Wen Yao; Yong Zhao; Xiaoqian Chen; Jun Zhang 052; Yazhong Luo (CEC, 2018)

A Deep Learning-Based Method for Heat Source Layout Inverse Design. - Jialiang Sun; Jun Zhang 052; Xiaoya Zhang; Weien Zhou (IEEE Access, 2020)

Accelerating Physics-Informed Neural Network Training with Prior Dictionaries. - Wei Peng 010; Weien Zhou; Jun Zhang 052; Wen Yao (CoRR, 2020)

Multisource Selective Transfer Framework in Multiobjective Optimization Problems. - Jun Zhang 052; Weien Zhou; Xianqi Chen; Wen Yao; Lu Cao (IEEE Trans. Evol. Comput., 2020)

A Deep Neural Network Surrogate Modeling Benchmark for Temperature Field Prediction of Heat Source Layout. - Xianqi Chen; Xiaoyu Zhao; Zhiqiang Gong; Jun Zhang 052; Weien Zhou; Xiaoqian Chen; Wen Yao (CoRR, 2021)

Physics-Informed Deep Reversible Regression Model for Temperature Field Reconstruction of Heat-Source Systems. - Zhiqiang Gong; Weien Zhou; Jun Zhang 052; Wei Peng 010; Wen Yao (CoRR, 2021)

IDRLnet: A Physics-Informed Neural Network Library. - Wei Peng 010; Jun Zhang 052; Weien Zhou; Xiaoyu Zhao; Wen Yao; Xiaoqian Chen (CoRR, 2021)

Randomized ReLU Activation for Uncertainty Estimation of Deep Neural Networks. - Yufeng Xia; Jun Zhang 052; Zhiqiang Gong; Tingsong Jiang; Wen Yao (CoRR, 2021)

Improve Calibration Robustness of Temperature Scaling by Penalizing Output Entropy. - Jun Zhang 052; Wen Yao; Xiaoqian Chen; Ling Feng (ISMIS, 2022)

Understanding Negative Calibration from Entropy Perspective. - Jun Zhang 052; Wen Yao; Xiaoqian Chen; Ling Feng (ISMIS, 2022)

An Approximated Gradient Sign Method Using Differential Evolution for Black-Box Adversarial Attack. - Chao Li 076; Handing Wang; Jun Zhang 052; Wen Yao; Tingsong Jiang (IEEE Trans. Evol. Comput., 2022)

Transferable Post-hoc Calibration on Pretrained Transformers in Noisy Text Classification. - Jun Zhang 052; Wen Yao; Xiaoqian Chen; Ling Feng (AAAI, 2023)

Joint deep reversible regression model and physics-informed unsupervised learning for temperature field reconstruction. - Zhiqiang Gong; Weien Zhou; Jun Zhang 052; Wei Peng 010; Wen Yao (Eng. Appl. Artif. Intell., 2023)