Power of Alternating Direction Method of Multipliers(ADMM) in deep learning
Talks at Modeling and Optimization, Theory and Applications (MOPTA), Bethlehem, PA, United States
CV
Education
- Ph.D. in Computer Science, Emory University, Atlanta, Georgia, United States, 2022
- M.S. in Applied Information Technology, George Mason University, Fairfax, Virginia, United States, 2020
- B.S. in Computer Science and Technology, East China Normal University, Shanghai, China, 2012
Experience
- 2023-now: Researcher
- NEC Laboratories America
- 2017-2022: Research Assistant
- George Mason University and Emory University
- 2012-2015: Database Developer
Research Interests
- Deep Learning On Graph
- Graph Source Localization
- Influence Maximization
- Graph Inverse Problem
- Social Media Mining
- Vaccine Adverse Event Detection
- Petition Victory Prediction
- Nonconvex Alternating Direction Method of Multipliers(ADMM)
- Nonlinear Equality-Constrained Problems
- Multi-Convex Problems
- Deep Learning Optimization
- ADMM
- Alternating Minimization(AM)
Talks
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework
Talk at INFORMS Optimization Society Conference (IOS), Greenville, SC, United States
Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization
Talk at Association of European Operational Research Societies Conference (EURO), Espoo, Finland
Professional Services
- Conference Technical Program Committee Services
- ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
- Optimization for Machine Learning by NeurIPS (OPT)
- Empirical Methods in Natural Language Processing (EMNLP)
- Conference on Neural Information Processing Systems (NeurIPS)
- Asian Conference on Machine Learning (ACML)
- European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
- International Joint Conference on Neural Networks (IJCNN)
- International Joint Conference on Artificial Intelligence (IJCAI)
- International Workshop on Deep Learning on Graphs (DLG)
- International Conference on Computer Science and Application Engineering (CSAE)
- Journal Reviewers
- Optimization Letters (OL)
- Transactions on Big Data (TBD)
- Transactions on Knowledge and Data Engineering (TKDE)
- Expert Systems with Applications (ESWA)
- Frontiers in Public Health
- Knowledge Based Systems (KNOSYS)
- Applied Artificial Intelligence (UAAI)
- European Journal of Operational Research (EJOR)
- Numerical Algorithms (NUMA)
- Asian Conference on Machine Learning (ACML) Journal track
- Big Data Research (BDR)
- Engineering Applications of Artificial Intelligence (EAAI)
- Intelligent Systems with Applications (ISWA)
- SoftwareX
Honors and Awards
- ICDM Student Travel Award, 2018, 2020
- KDD Student Travel Award, 2019
- Meritorious Winner in the Mathematical Contest in Modeling(MCM) in the United States, 2011
- Second Prize in the Contemporary Undergraduate Mathematical Contest in Modeling(CUMCM) in China, 2010
- Second Prize in the Undergraduate Mathematical Contest in Modeling by East China Normal University, 2009