I am currently pursuing a Ph.D. degree👨‍🎓 at the School of Artificial Intelligence, Xidian University. My research interests primarily include😎😎😎: ✔️ Optimization and Generalization Methods and Theory Federated Learning Differential Privacy ✔️ Model Interpretability Learning to Optimize 🔜 Trustworthy Artificial Intelligence

📧 [E-mail] 🎓 [Google Scholar] 📥 [GitHub] 📑 [Chinese Page]

Education

• 2024.10 ~ Present: Xidian University, School of Artificial Intelligence, Ph.D. Candidate [Advisor: 💁‍♂️Prof. Yuanyuan Liu👍]

• 2020.09 ~ Present: Nanyang Technological University, College of Computing and Data Science, Visiting Ph.D. (CSC) [Advisor: 💁‍♂️Prof. Han Yu👍]

• 2016.09 ~ 2020.07: Xi'an University of Technology, School of Science, Bachelor's Degree

Academic Papers

Journals

• DEs-Inspired Accelerated Unfolded Linearized ADMM Networks for Inverse Problems
  Weixin An, Yuanyuan Liu, Fanhua Shang, Hongying Liu, and Licheng Jiao
  IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2024.
  [SCI Q1] Related download links: [PDF][Code][Supplementary Material]

• Laplacian smoothing stochastic ADMMs with differential privacy guarantees
  Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu, and Qi Zhu
  IEEE Transactions on Information Forensics and Security (TIFS), 2022.
  [SCI Q1] Related download links: [PDF]

• Loopless Variance Reduced Stochastic ADMM for Equality Constrained Problems in IoT Applications
  Yuanyuan Liu, Jiacheng Geng, Fanhua Shang, Weixin An, Hongying Liu, and Qi Zhu
  IEEE Internet of Things Journal (IOT), 2021.
  [SCI Q1] Related download links: [PDF]

Conference

• Robust and Faster Zeroth-Order Minimax Optimization: Complexity and Applications
  Weixin An, Yuanyuan Liu, Fanhua Shang, and Hongying Liu
  Advances in Neural Information Processing Systems (NeurIPS'24), 2024.
  [CCF A-level Conference] Related download links: [PDF][Code][Supplementary Material]

• A Single-loop Accelerated Extra-gradient Difference Algorithm with Improved Complexity Bounds for Constrained Minimax Optimization
  Yuanyuan Liu, Fanhua Shang, Weixin An, Junhao Liu, Hongying Liu, and Zhouchen Lin
  Advances in Neural Information Processing Systems (NeurIPS'23), 2023.
  [CCF A-level Conference] Related download links: [PDF][Code]

• A Numerical DEs Perspective on Unfolded Linearized ADMM Networks for Inverse Problems
  Weixin An, Yingjie Yue, Yuanyuan Liu, Fanhua Shang, and Hongying Liu
  Proceedings of the 30th ACM International Conference on Multimedia (MM'22), 2022.
  [CCF A-level Conference] Related download links: [PDF]

• Kill a Bird with Two Stones: Closing the Convergence Gaps in Non-Strongly Convex Optimization by Directly Accelerated SVRG with Double Compensation and Snapshots
  Yuanyuan Liu, Fanhua Shang, Weixin An , Hongying Liu, and Zhouchen Lin
  International Conference on Machine Learning (ICML'22), 2022.
  [CCF A-level Conference] Related download links: [PDF]

Honors and Awards

• National Scholarship for Doctoral Students (Oct 2024)

• 2024 National Scholarship for Study Abroad by the China Scholarship Council (Aug 2024)

• 2024 Xidian University Excellent Doctoral Dissertation Fund

• National Scholarship for Doctoral Students (Oct 2022)

• Outstanding Graduate of Xi'an University of Technology (May 2021)

Research Projects

• National Natural Science Foundation of China (No. 2022ZD0160302), 2022-2026
  Project Participants;
  Deep Learning Network Design and Optimization Algorithms
  

• National Natural Science Foundation of China General Project (No. 61976164), 2019-2023
  Core Member; Fund: 610,000 RMB
  Multivariate Graph Convolutional Network and Its Application in Polarimetric SAR Heterogeneous Object Classification
  

• National Natural Science Foundation of China General Project (No. 61876221), 2018-2022
  Core Member; Fund: 620,000 RMB
  Theoretical Research and Application of Momentum Acceleration Methods for Large-scale Machine Learning
  

• National Natural Science Foundation of China General Project (No. 61876220), 2018-2022
  Core Member; Fund: 620,000 RMB
  Accelerated Stochastic Variance Reduction Optimization Method and Theoretical Research
  

Academic Service

Journal Reviewer

• IEEE Transactions on Instrumentation & Measurement, TIM 2024

• IEEE Transactions on Neural Networks and Learning Systems, TNNLS 2024

Conference Reviewer

• Annual Conference on Neural Information Processing Systems, NeurIPS 2023, 2025 Reviewer

• International Conference on Multimedia, ACM MM 2024, Reviewer

• The Thirteenth International Conference on Learning Representations, ICLR 2025, Reviewer

• International Joint Conference on Artificial Intelligence (IJCAI'24), PC Member

• International Workshop on Federated Learning with Generative AI In Conjunction with IJCAI 2025, PC Member

Website Visit Statistics (Since Feb 2025)