| 2025 | ICLR | Global Convergence in Neural ODEs: Impact of Activation Functions. | Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao |
| 2022 | ICLR | A global convergence theory for deep ReLU implicit networks via over-parameterization. | Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao |
| 2021 | ICASSP | On the Convergence of Randomized Bregman Coordinate Descent for Non-Lipschitz Composite Problems. | Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu |
| 2021 | ICMLA | Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. | Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal |
| 2020 | AAAI | A Forest from the Trees: Generation through Neighborhoods. | Yang Li, Tianxiang Gao, Junier Oliva |
| 2018 | AAAI | DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization. | Tianxiang Gao, Chris Chu |
| 2018 | DEXA | DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity. | Tianxiang Gao, Weiming Bao, Jinning Li, Xiaofeng Gao, Boyuan Kong, Yan Tang, Guihai Chen, Xuan Li |
| 2016 | UAI | Degrees of Freedom in Deep Neural Networks. | Tianxiang Gao, Vladimir Jojic |
| 2015 | PSB | Drug-induced mRNA Signatures Are Enriched for the Minority of Genes that Are Highly Heritable. | Tianxiang Gao, Petter Brodin, Mark M. Davis, Vladimir Jojic |
| 2011 | ILP | Learning Compact Markov Logic Networks with Decision Trees. | Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao |