Publications

Buyun Liang, Hengyue Liang, Tim Mitchell, Ying Cui, Ju Sun (2023). NCVX: A General-Purpose Optimization Solver for Machine Learning, and Practical Techniques. In preparation for IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).

Website ICCOPT22 Slides SDM2023 Tutorial ICASSP 2023 Tutorial

Buyun Liang, Ryan de Vera, Hengyue Liang, Ying Cui, Tim Mitchell, Qizhi He, Ju Sun (2023). Neural Topology Optimization with Principled Constrained Optimization. In preparation for Transactions on Machine Learning Research (TMLR).

Hengyue Liang, Buyun Liang, Le Peng, Ying Cui, Tim Mitchell, Ju Sun (2023). Optimization for Adversarial Robustness Evaluations and Implications from the Solution Patterns. Under review at International Journal of Computer Vision (IJCV).

Buyun Liang, Tim Mitchell, Ju Sun (2022). NCVX: A General-Purpose Optimization Solver for Constrained Machine and Deep Learning. In Neural Information Processing Systems (NeurIPS) Workshop on Optimization for Machine Learning (OPT 2022).

Hengyue Liang, Buyun Liang, Ying Cui, Tim Mitchell, Ju Sun (2022). Optimization for Robustness Evaluation beyond ℓp Metrics. In Neural Information Processing Systems (NeurIPS) Workshop on Optimization for Machine Learning (OPT 2022).

Buyun Liang, Bhargav Joshi, Taihui Li, Roger Rusack, Ju Sun (2022). Using Neural Networks to Predict Radiation Damage to Lead Tungstate Crystals at the CERN LHC. Under review at Nature Machine Intelligence.

Buyun Liang, Tim Mitchell, Ju Sun (2021). NCVX: A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning. ArXiv preprint arXiv:2111.13984.

J. Ilja Siepmann, Jingyi L. Chen, Buyun Liang, Krishnan Mahesh (2020). Effect of Non-Condensable Gas on the Thermophysical Properties of Bubbly Water and on Bubble Collapse Dynamics Probed by Molecular Simulations. 33rd Symposium on Naval Hydrodynamics, Osaka, Japan, 18-23 October 2020.