Soh, Yong Sheng
- Candogan, Utkan and Soh, Yong Sheng, et el. (2021) A note on convex relaxations for the inverse eigenvalue problem; Optimization Letters; Vol. 15; No. 8; 2757-2772; 10.1007/s11590-021-01708-1
- Soh, Yong Sheng and Chandrasekaran, Venkat (2021) Fitting Tractable Convex Sets to Support Function Evaluations; Discrete and Computational Geometry; Vol. 66; No. 2; 510-551; 10.1007/s00454-020-00258-0
- Soh, Yong Sheng and Chandrasekaran, Venkat (2020) A Matrix Factorization Approach for Learning Semidefinite-Representable Regularizers; 10.48550/arXiv.1701.01207
- Soh, Yong Sheng and Chandrasekaran, Venkat (2019) Learning Semidefinite-Representable Regularizers; Foundations of Computational Mathematics; Vol. 19; No. 2; 375-434; 10.1007/s10208-018-9386-z
- Soh, Yong Sheng and Chandrasekaran, Venkat (2017) High-dimensional change-point estimation: Combining filtering with convex optimization; Applied and Computational Harmonic Analysis; Vol. 43; No. 1; 122-147; 10.1016/j.acha.2015.11.003
- Soh, Yong Sheng and Chandrasekaran, Venkat (2015) High-dimensional change-point estimation: Combining filtering with convex optimization; ISBN 978-1-4673-7704-1; 2015 IEEE International Symposium on Information Theory; 151-155; 10.1109/ISIT.2015.7282435
- Soh, Yong Sheng and Quek, Tony Q. S., et el. (2013) Cognitive Hybrid Division Duplex for Two-Tier Femtocell Networks; IEEE Transactions on Wireless Communications; Vol. 12; No. 10; 4852-4865; 10.1109/TWC.2013.090313.121264
- Soh, Yong Sheng and Quek, Tony Q. S., et el. (2013) Energy Efficient Heterogeneous Cellular Networks; IEEE Journal on Selected Areas in Communications; Vol. 31; No. 5; 840-850; 10.1109/JSAC.2013.130503