Tianjian Huang


PhD Student
Department of Industrial & Systems Engineering
University of Southern California

Office: OHE 340
Email: tianjian [at] usc [dot] edu

My Google Scholar Page

About me

I am currently a Ph.D. student at University of Southern California and I am fortunate enough to be advised by Prof. Meisam Razaviyayn. Prior to that, I received my B.Sc. degree from Rensselaer Polytechnic Institute.


My research interests lie in:

  • Large-scale optimization algorithms

  • Deep learning

Recent Publications

  • Tianjian Huang, Chinnadhurai Sankar, Pooyan Amini, Satwik Kottur, Alborz Geramifard, Meisam Razaviyayn and Ahmad Beirami. “DAIR: Data Augmented Invariant Regularization.” ICML 2021 Workshop on Uncertainty & Robustness in Deep Learning. [pdf]

  • Babak Barazandeh, Tianjian Huang, George Michailidis. “A Decentralized Adaptive Momentum Method for Solving a Class of Min-Max Optimization Problems.” Signal Processing Volume 189 (2021). [link]

  • Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn. “Alternating direction method of multipliers for quantization.” In Advances in Neural Information Processing Systems, 2019. In Proceedings of The 24th International Conference on Artificial Intelligence and Statistics (2021). [pdf]

  • Razaviyayn, Meisam, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, and Mingyi Hong. “Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.” IEEE Signal Processing Magazine 37.5 (2020). [pdf]

  • Nouiehed, Maher, Maziar Sanjabi, Tianjian Huang, Jason D. Lee, and Meisam Razaviyayn. “Solving a class of non-convex min-max games using iterative first order methods.” In Advances in Neural Information Processing Systems (2019). [pdf]