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

Hey, I’m Wendong Zheng, working at Shanxi University as a lecturer. I received Ph.D degree in Computer Science in 2024, from Sun Yat-Sen University, Guangzhou, China. I 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.

Personal Links

• Google Scholar

Research Interest

• Multivariate time series prediction (2017 – present)
• Robust deep binary neural networks (DBNNs) under environmental noise perturbations (2024 – present)
• Spiking recurrent neural networks and its robustness (2022 – 2023)
• Decay rate of long-term memory for LSTM & attention models (2020 – 2021)
• First-order stochastic optimization algorithm (2017 – 2021)

Work Experience

• 2024.7-Present School of Computer and Information Technology, Shanxi University. Lecturer

Education

• 2020.9-2024.6 Ph.D in School of 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

• [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), Vancouver, Canada, pp. 1-10, in press, 2025. (CCF-A, acceptance rate=26.9%, poster) Code-link PDF-link
• [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), San Francisco, CA, USA, pp. 1-9, 2023 (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. (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. (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), 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

Technical Qualification Certification

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

Services

Membership:

• CCF Member, 2024-present
• IEEE Student Member, 2019-2024
• ACM SIGIR Student Member, 2021-2022
• CCF Student Member, 2017-2020
• INNS Student Member, 2019-2020

Reviewer:

Journal:

• IEEE Transactions on Pattern Analysis and Machine intelligence (CCF A, 2023-5 – present)
• IEEE Transactions on Image Processing (CCF A, 2024-1 – present)
• IEEE Transactions on Knowledge and Data Engineering (CCF A, 2024-10 – 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 (CCF B, 2020-12 – present)
• ACM Transactions on Knowledge Discovery from Data (CCF B, 2024-5 – present)
• Neural Networks (CCF B, 2022-6 – present)
• Knowledge and Information Systems (CCF B, 2022-12 – present)
• Knowledge-Based Systems (CCF C, 2019-9 – present)
• Neurocomputing (CCF C, 2025-7 – present)
• Other good journals

Conference:

• The International Conference on Machine Learning (ICML)-2022, 2023, 2025 (CCF A)
• The Conference on Neural Information Processing Systems (NeurIPS)-2022, 2023, 2025 (CCF A)
• The International Conference on Learning Representations (ICLR)-2025
• ICASSP-2025 (CCF B)
• IEEE HPCC-2019 (CCF C)
• 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