Statistical Modeling for LSB-Based Image Steganalysis: A Systematic Perspective. - Xiaoming Yao; Wencai Du; Taijun Li; Longjuan Wang; Honglei Li 003; Hanwei Wu; Zequn Wang (ICAIC (1), 2011)

A new approach for reliability analysis with time-variant performance characteristics. - Zequn Wang; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2013)

Probability of corrosion failure analysis using an adaptive sampling approach. - Chaoyang Xie; Pingfeng Wang; Zequn Wang; Hongzhong Huang (ICPHM, 2015)

A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis. - Zequn Wang; Pingfeng Wang (Reliab. Eng. Syst. Saf., 2015)

Time-variant reliability assessment through equivalent stochastic process transformation. - Zequn Wang; Wei Chen 041 (Reliab. Eng. Syst. Saf., 2016)

Research on Emotional Classification of EEG Based on Convolutional Neural Network. - Huiping Jiang; Zequn Wang; Rui Jiao; Mei Chen (BIC-TA (2), 2019)

Correlation Study of Emotional Brain Areas Induced by Video. - Huiping Jiang; Zequn Wang; Xinkai Gui; Guosheng Yang (TRIDENTCOM, 2019)

Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction. - Narendra Patwardhan; Zequn Wang (CoRR, 2019)

Proximal Reliability Optimization for Reinforcement Learning. - Narendra Patwardhan; Zequn Wang (CoRR, 2019)

Surrogate model uncertainty quantification for reliability-based design optimization. - Mingyang Li; Zequn Wang (Reliab. Eng. Syst. Saf., 2019)

Semi-supervised deep learning for high-dimensional uncertainty quantification. - Zequn Wang; Mingyang Li (CoRR, 2020)

Construction and Analysis of Emotion Computing Model Based on LSTM. - Huiping Jiang; Rui Jiao; Zequn Wang; Ting Zhang; Licheng Wu (Complex., 2021)

Internet of Things Infrastructure Based on Fast, High Spatial Resolution, and Wide Measurement Range Distributed Optic-Fiber Sensors. - Shuai Qu; Zequn Wang; Zengguang Qin; Yanping Xu; Zhenhua Cong; Zhaojun Liu (IEEE Internet Things J., 2022)

LSTM-augmented deep networks for time-variant reliability assessment of dynamic systems. - Mingyang Li; Zequn Wang (Reliab. Eng. Syst. Saf., 2022)

Prognostics of Lithium-Ion batteries using knowledge-constrained machine learning and Kalman filtering. - Guangxing Bai; Yunsheng Su; Maliha Maisha Rahman; Zequn Wang (Reliab. Eng. Syst. Saf., 2023)

Knowledge-informed deep networks for robust fault diagnosis of rolling bearings. - Yunsheng Su; Luojie Shi; Kai Zhou; Guangxing Bai; Zequn Wang (Reliab. Eng. Syst. Saf., 2024)

Live-Line Measurement Method for Zero-Sequence Distributed Parameters of Double-Circuit Transmission Lines Using Nonpower Frequency Power Source. - Zequn Wang; Zhijian Hu; Haobin Chen; Zihao Zhang; Xingwei Xu; Zhengwei Sun (IEEE Trans. Instrum. Meas., 2025)

Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models. - Zhonglin Jiang; Qian Tang; Zequn Wang (CoRR, 2025)