Zequn Wang

20 papers Misc 1Journal 16Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
Noise-Robust Generative Hashing for Cross-Modal Retrieval.
ACM Trans. Multim. Comput. Commun. Appl.
Zequn Wang, Tianshi Wang, Fengling Li, Jingjing Li, Lei Zhu
2025 J jnl
Generative Augmentation Hashing for Few-Shot Cross-Modal Retrieval.
IEEE Trans. Circuits Syst. Video Technol.
Fengling Li, Zequn Wang, Tianshi Wang, Lei Zhu, Xiaojun Chang
2025 J jnl
Generative Reliability-Based Design Optimization Using In-Context Learning Capabilities of Large Language Models.
CoRR
Zhonglin Jiang, Qian Tang, Zequn Wang
2025 J jnl
Live-Line Measurement Method for Zero-Sequence Distributed Parameters of Double-Circuit Transmission Lines Using Nonpower Frequency Power Source.
IEEE Trans. Instrum. Meas.
Zequn Wang, Zhijian Hu, Haobin Chen, Zihao Zhang, Xingwei Xu, Zhengwei Sun
2024 J jnl
Knowledge-informed deep networks for robust fault diagnosis of rolling bearings.
Reliab. Eng. Syst. Saf.
Yunsheng Su, Luojie Shi, Kai Zhou, Guangxing Bai, Zequn Wang
2023 J jnl
Prognostics of Lithium-Ion batteries using knowledge-constrained machine learning and Kalman filtering.
Reliab. Eng. Syst. Saf.
Guangxing Bai, Yunsheng Su, Maliha Maisha Rahman, Zequn Wang
2022 J jnl
Internet of Things Infrastructure Based on Fast, High Spatial Resolution, and Wide Measurement Range Distributed Optic-Fiber Sensors.
IEEE Internet Things J.
Shuai Qu, Zequn Wang, Zengguang Qin, Yanping Xu, Zhenhua Cong, Zhaojun Liu
2022 J jnl
LSTM-augmented deep networks for time-variant reliability assessment of dynamic systems.
Reliab. Eng. Syst. Saf.
Mingyang Li, Zequn Wang
2021 J jnl
Construction and Analysis of Emotion Computing Model Based on LSTM.
Complex.
Huiping Jiang, Rui Jiao, Zequn Wang, Ting Zhang, Licheng Wu
2020 J jnl
Semi-supervised deep learning for high-dimensional uncertainty quantification.
CoRR
Zequn Wang, Mingyang Li
2019 Misc conf
Correlation Study of Emotional Brain Areas Induced by Video.
TRIDENTCOM
Huiping Jiang, Zequn Wang, Xinkai Gui, Guosheng Yang
2019 J jnl
Proximal Reliability Optimization for Reinforcement Learning.
CoRR
Narendra Patwardhan, Zequn Wang
2019 J jnl
Reinforcement Learning for Robotics and Control with Active Uncertainty Reduction.
CoRR
Narendra Patwardhan, Zequn Wang
2019 — conf
Research on Emotional Classification of EEG Based on Convolutional Neural Network.
BIC-TA (2)
Huiping Jiang, Zequn Wang, Rui Jiao, Mei Chen
2019 J jnl
Surrogate model uncertainty quantification for reliability-based design optimization.
Reliab. Eng. Syst. Saf.
Mingyang Li, Zequn Wang
2016 J jnl
Time-variant reliability assessment through equivalent stochastic process transformation.
Reliab. Eng. Syst. Saf.
Zequn Wang, Wei Chen
2015 J jnl
A double-loop adaptive sampling approach for sensitivity-free dynamic reliability analysis.
Reliab. Eng. Syst. Saf.
Zequn Wang, Pingfeng Wang
2015 — conf
Probability of corrosion failure analysis using an adaptive sampling approach.
ICPHM
Chaoyang Xie, Pingfeng Wang, Zequn Wang, Hongzhong Huang
2013 J jnl
A new approach for reliability analysis with time-variant performance characteristics.
Reliab. Eng. Syst. Saf.
Zequn Wang, Pingfeng Wang
2011 — conf
Statistical Modeling for LSB-Based Image Steganalysis: A Systematic Perspective.
ICAIC (1)
Xiaoming Yao, Wencai Du, Taijun Li, Longjuan Wang, Honglei Li, Hanwei Wu, Zequn Wang