Tianjian Huang
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.
Research
My research interests lie in:
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]
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