[1] ASYNC: A Cloud Engine with Asynchrony and History for Distributed Machine Learning (pdf, code)
The 34th International Parallel and Distributed Processing Symposium (IPDPS 2020)

[2] DAve-QN: A Distributed Averaged Quasi-Newton Method with Local Superlinear Convergence Rate (pdf, code)
The 23rd International Conference on Artificial Intelligence and Statistics (AISTATS 2020)

[3] A Model-Based Algorithm with an Efficient Storage Format for Parallel HSS-Structured Matrix Approximations (pdf, code)
Proceedings of the 25th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming (PPoPP 2020)

[4] Reducing Communication in Proximal Newton Methods for Sparse Least Squares Problems (pdf, code)
Proceedings of the 47th International Conference on Parallel Processing (ICPP 2018)

[5] Decentralized Computation of Effective Resistances and Acceleration of Distributed Optimization Algorithms (pdf)

Note: for a full list of publications please check Google Scholar.