Biography

Name: Wendong Zheng Title: Lecturer Institution: Shanxi University Email: wendongz@sxu.edu.cn Address: No. 92, Wucheng road, Xiaodian District, Taiyuan, Shanxi Province, China.

Short Bio

Wendong Zheng currently is a Lecturer working for Shanxi University. He received PhD degree in Computer Science in 2024, from Sun Yat-Sen University, Guangzhou, China. He received B.S. degree in Software Engineering in 2017, from North University of China, China; M.S. degree in Computer Science in 2020, from Hunan University, China.

Contact

• Researchgate
• Google Scholar

Research Interest

• Multivariate time series prediction
• Spiking recurrent neural networks and its robustness
• Robust DBNNs under environmental noise perturbations
• Decay rate of long-term memory for LSTM & attention models
• First-order stochastic optimization algorithm

Education

• 2020.9-2024.6 Ph.D student in School of Data and Computer Science, Sun Yat-sen University. Supervisor: Prof. Gang Chen
• 2017.9-2020.6 M.S. in College of Computer Science and Electronic Engineering, Hunan University. Supervisor: Associate Prof. Jun Hu
• 2013.9-2017.6 B.S. in School of Software Engineering, North University of China. Supervisor: Associate Prof. Siqing Yin

Funds/Projects

• [1] “Deep Learning Method for Multivariable Spatio-temporal Prediction with Complex Correlation Characteristics,” supported by State Key Lab. for Novel Software Technology, Nanjing University, P.R. China under Grant KFKT2019B09. (2019-2020, Finished)

Publications

• [10] Wendong Zheng, Junyang Chen, Husheng Guo, and Wenjian Wang. “Can DBNNs Robust to Environmental Noise for Resource-constrained Scenarios?,” Forty-second International Conference on Machine Learning (ICML-2025), Vancouver, Canada, pp. 1-10, in press. (CCF-A, acceptance rate=26.9%, poster).
• [9] Wendong Zheng, Yu Zhou, Gang Chen, Zonghua Gu and Kai Huang. “Towards Effective Training of Robust Spiking Recurrent Neural Networks Under General Input Noise via Provable Analysis,” IEEE/ACM International Conference on Computer Aided Design (ICCAD-2023), San Francisco, CA, USA (CCF-B, acceptance rate=22.9%, oral). PDF-link
• [8] Wendong Zheng, Putian Zhao, Gang Chen, Huihui Zhou and Yonghong Tian. “A Hybrid Spiking Neurons Embedded LSTM Network for Multivariate Time Series Learning under Concept-drift Environment,” IEEE Transactions on Knowledge and Data Engineering, Vol. 35, no. 7, pp. 6561-6574, 2023 July. (SCI-2, JCR-2021 IF=9.235, CCF-A) PDF-link code-link
• [7] Wendong Zheng, Jun Hu. “Multivariate Time Series Prediction Based on Temporal Change Information Learning Method,” IEEE Transactions on Neural Networks and Learning Systems, in press, pp. 1-15, 2021. (SCI-1 Top, JCR-2021 IF=14.255, CCF-B) PDF-link
• [6] Wendong Zheng, Gang Chen. “An Accurate GRU-based Power Time Series Prediction Approach with Selective State Updating and Stochastic Optimization,” IEEE Transactions on Cybernetics, Vol. 52, no. 12, pp. 13902-13914, 2022 Dec. (SCI-1 Top, JCR-2021 IF=19.118, CCF-B) PDF-link code-link
• [5] Wendong Zheng, Putian Zhao, Kai Huang and Gang Chen. “Understanding the Property of Long Term Memory for the LSTM with Attention Mechanism,” ACM Conference on Information and Knowledge Management (CIKM-2021), November 1–5, 2021, Virtual Event, Australia (CCF-B, acceptance rate=21.7%, oral). PDF-link
• [4] Jun Hu and Wendong Zheng. “A deep learning model to effectively capture mutation information in multivariate time series prediction,” Knowledge-Based Systems, Vol. 203, pp. 1-20, Sep. 5, 2020. (SCI-1 JCR-2020 IF=8.038, CCF-C). PDF-link
• [3] Jun Hu and Wendong Zheng. “Multistage Attention Network for Multivariate Time Series Prediction,” Neurocomputing, Vol. 383, pp. 122-137, March 28, 2020. (SCI-2 JCR-2020 IF=5.719, CCF-C). PDF-link code-link
• [2] Jun Hu and Wendong Zheng. “Transformation-gated LSTM: efficient capture of short-term mutation dependencies for multivariate time series prediction tasks,” The 2019 International Joint Conference on Neural Networks (IJCNN), Budapest, Hungary, July 14-19, 2019. (CCF-C oral presentation rate 36.4%). PDF-link code-link
• [1] Jun Hu and Wendong Zheng. “An Adaptive Optimization Algorithm Based on Hybrid Power and Multidimensional Update Strategy,” IEEE Access, 2019 ,7(1): 19355 - 19369. (SCI-2, JCR-2020 IF=3.367). PDF-link code-link

Vocational/Technical Qualification Certification

• China Qualification Certificate of Computer and Software Technology, Middle Level (Software designer), 2016
• CCF-CSP certification, Top 10%, 2019

Services

Membership:

• IEEE Student Member, 2019-present
• ACM SIGIR Student Member, 2021-9-present
• CCF Student Member, 2017-2020
• INNS Student Member, 2019-2020

Journal & Conference Reviewer:

• IEEE Transactions on Pattern Analysis and Machine intelligence (CCF A, 2023-5 – present)
• IEEE Transactions on Neural Networks and Learning Systems (CCF B, 2019-1 – present)
• IEEE Transactions on Cybernetics (CCF B, 2020-10 – present)
• IEEE Transactions on Systems Man Cybernetics-Systems (2020-12 – present)
• Knowledge-Based Systems (CCF C, 2019-9 – present)
• Journal of Circuits, Systems, and Computers (2020-12 – present)
• IEEE Access (2018-10 – present)
• International Journal of Antennas and Propagation (2021-10 – present)
• Discrete Dynamics in Nature and Society (2021-10 – present)
• Systems Science and Control Engineering (2021-11 – present)
• International Journal of Information Technology & Decision Making (2022-3 – present)
• Neural Networks (CCF B, 2022-6 – present)
• Knowledge and Information Systems (CCF B, 2022-12 – present)
• IEEE Transactions on Circuits and Systems I: Regular Papers (2022-12 – present)
• IEEE Network letter (2022-11 – present)
• The Thirty-ninth International Conference on Machine Learning (ICML)-2022, 2023 (CCF A, Reviewer)
• Thirty-Sixth Conference on Neural Information Processing Systems (NeurIPS)-2022, 2023 (CCF A, Reviewer)
• IEEE HPCC-2019 (CCF C, Reviewer)
• IEEE ICIST-2019 (Program Committee Member)

Awards

• Excellent Reviewer in SIGKDD (CCF-A), 2024-12
• Top Reviewer in Systems Science & Control Engineering, Taylor & Francis journals, 2022.9
• Second Prize of Academic Scholarship, Sun Yat-Sen University, 2022.9
• Second Prize of Academic Scholarship, Sun Yat-Sen University, 2021.10
• SIGIR Student Travel Grant Award to attend CIKM 2021, SIGIR, 2021.9
• Third Prize of Academic Scholarship, Sun Yat-Sen University, 2020.9
• Excellent Graduate Student of Hunan University, Hunan University, 2020.3
• National Graduate Scholarship, Ministry of Education, 2019.12
• First Prize of Academic Scholarship, Hunan University, 2017 & 2019
• Second Prize of Academic Scholarship, Hunan University, 2018