Tianxiang Gao

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 22

Top Topics

Negative Matrix Factorization

Global Convergence

Top Venues

Publications

Tianxiang Gao, Zijian Hong, Yixing Tan, Lizhuo Sun, Yichen Wei, Jianwei Ma
HC-MVSNet: A probability sampling-based multi-view-stereo network with hybrid cascade structure for 3D reconstruction. Pattern Recognit. Lett. 185 (2024)
Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models. CoRR (2023)
Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models. NeurIPS (2023)
Tianxiang Gao, Hongyang Gao
Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with Linear Widths. CoRR (2022)
Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
A global convergence theory for deep ReLU implicit networks via over-parameterization. ICLR (2022)
Tianxiang Gao, Hongyang Gao
On the optimization and generalization of overparameterized implicit neural networks. CoRR (2022)
Ruiwei Feng, Xiangshang Zheng, Tianxiang Gao, Jintai Chen, Wenzhe Wang, Danny Z. Chen, Jian Wu
Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation. IEEE Trans. Medical Imaging 40 (10) (2021)
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
On the Convergence of Randomized Bregman Coordinate Descent for Non-Lipschitz Composite Problems. ICASSP (2021)
Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
A global convergence theory for deep ReLU implicit networks via over-parameterization. CoRR (2021)
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. CoRR (2021)
Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. ICMLA (2021)
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
Randomized Bregman Coordinate Descent Methods for Non-Lipschitz Optimization. CoRR (2020)
Yang Li, Tianxiang Gao, Junier Oliva
A Forest from the Trees: Generation through Neighborhoods. AAAI (2020)
Yang Li, Tianxiang Gao, Junier Oliva
A Forest from the Trees: Generation through Neighborhoods. CoRR (2019)
Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems. CoRR (2019)
Tianxiang Gao, Chris Chu
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization. CoRR (2018)
Tianxiang Gao, Chris Chu
DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization. AAAI (2018)
Tianxiang Gao, Weiming Bao, Jinning Li, Xiaofeng Gao, Boyuan Kong, Yan Tang, Guihai Chen, Xuan Li
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity. DEXA (1) (2018)
Tianxiang Gao, Weiming Bao, Jinning Li, Xiaofeng Gao, Boyuan Kong, Yan Tang, Guihai Chen, Xuan Li
DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity. CoRR (2017)
Tianxiang Gao, Vladimir Jojic
Degrees of Freedom in Deep Neural Networks. UAI (2016)
Tianxiang Gao, Sigurdur Olofsson, Songtao Lu
Minimum-volume-regularized weighted symmetric nonnegative matrix factorization for clustering. GlobalSIP (2016)
Tianxiang Gao, Vladimir Jojic
Degrees of Freedom in Deep Neural Networks. CoRR (2016)
Tianxiang Gao, Petter Brodin, Mark M. Davis, Vladimir Jojic
Drug-induced mRNA Signatures Are Enriched for the Minority of Genes that Are Highly Heritable. Pacific Symposium on Biocomputing (2015)
Oliver Schulte, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, Yuke Zhu
Modelling relational statistics with Bayes Nets. Mach. Learn. 94 (1) (2014)
Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
Learning compact Markov logic networks with decision trees. Mach. Learn. 89 (3) (2012)
Oliver Schulte, Hassan Khosravi, Tianxiang Gao, Yuke Zhu
Random Regression for Bayes Nets Applied to Relational Data. StarAI@UAI (2012)
Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
Learning Compact Markov Logic Networks with Decision Trees. ILP (2011)