Tianxiang Gao - RankMe

32 papers A* 5A 1B 1C 1Misc 2Journal 18Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Global Convergence in Neural ODEs: Impact of Activation Functions. ICLR Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao
2025	J	`jnl`	Global Convergence in Neural ODEs: Impact of Activation Functions. CoRR Tianxiang Gao, Siyuan Sun, Hailiang Liu, Hongyang Gao
2025	J	`jnl`	Understanding Scaling Laws in Deep Neural Networks via Feature Learning Dynamics. CoRR Zihan Yao, Ruoyu Wu, Tianxiang Gao
2025	J	`jnl`	Visualizing the Local Atomic Environment Features of Machine Learning Interatomic Potential. CoRR Xuqiang Shao, Yuqi Zhang, Di Zhang, Tianxiang Gao, Xinyuan Liu, Zhiran Gan, Fanshun Meng, Hao Li, Weijie Yang
2024	J	`jnl`	HC-MVSNet: A probability sampling-based multi-view-stereo network with hybrid cascade structure for 3D reconstruction. Pattern Recognit. Lett. Tianxiang Gao, Zijian Hong, Yixing Tan, Lizhuo Sun, Yichen Wei, Jianwei Ma
2023	A*	`conf`	Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models. NeurIPS Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
2023	J	`jnl`	Wide Neural Networks as Gaussian Processes: Lessons from Deep Equilibrium Models. CoRR Tianxiang Gao, Xiaokai Huo, Hailiang Liu, Hongyang Gao
2022	A*	`conf`	A global convergence theory for deep ReLU implicit networks via over-parameterization. ICLR Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
2022	J	`jnl`	Gradient Descent Optimizes Infinite-Depth ReLU Implicit Networks with Linear Widths. CoRR Tianxiang Gao, Hongyang Gao
2022	J	`jnl`	On the optimization and generalization of overparameterized implicit neural networks. CoRR Tianxiang Gao, Hongyang Gao
2021	J	`jnl`	A global convergence theory for deep ReLU implicit networks via over-parameterization. CoRR Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao
2021	C	`conf`	Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. ICMLA Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2021	J	`jnl`	Alternate Model Growth and Pruning for Efficient Training of Recommendation Systems. CoRR Xiaocong Du, Bhargav Bhushanam, Jiecao Yu, Dhruv Choudhary, Tianxiang Gao, Sherman Wong, Louis Feng, Jongsoo Park, Yu Cao, Arun Kejariwal
2021	J	`jnl`	Interactive Few-Shot Learning: Limited Supervision, Better Medical Image Segmentation. IEEE Trans. Medical Imaging Ruiwei Feng, Xiangshang Zheng, Tianxiang Gao, Jintai Chen, Wenzhe Wang, Danny Z. Chen, Jian Wu
2021	Misc	`conf`	On the Convergence of Randomized Bregman Coordinate Descent for Non-Lipschitz Composite Problems. ICASSP Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
2020	A*	`conf`	A Forest from the Trees: Generation through Neighborhoods. AAAI Yang Li, Tianxiang Gao, Junier Oliva
2020	J	`jnl`	Randomized Bregman Coordinate Descent Methods for Non-Lipschitz Optimization. CoRR Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
2019	J	`jnl`	A Forest from the Trees: Generation through Neighborhoods. CoRR Yang Li, Tianxiang Gao, Junier Oliva
2019	J	`jnl`	Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems. CoRR Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
2018	A*	`conf`	DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization. AAAI Tianxiang Gao, Chris Chu
2018	J	`jnl`	DID: Distributed Incremental Block Coordinate Descent for Nonnegative Matrix Factorization. CoRR Tianxiang Gao, Chris Chu
2018	—	`conf`	DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity. DEXA (1) Tianxiang Gao, Weiming Bao, Jinning Li, Xiaofeng Gao, Boyuan Kong, Yan Tang, Guihai Chen, Xuan Li
2017	J	`jnl`	DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity. CoRR Tianxiang Gao, Weiming Bao, Jinning Li, Xiaofeng Gao, Boyuan Kong, Yan Tang, Guihai Chen, Xuan Li
2017	—	`—`	Extracting information from deep learning models for computational biology. Tianxiang Gao
2016	A	`conf`	Degrees of Freedom in Deep Neural Networks. UAI Tianxiang Gao, Vladimir Jojic
2016	J	`jnl`	Degrees of Freedom in Deep Neural Networks. CoRR Tianxiang Gao, Vladimir Jojic
2016	—	`conf`	Minimum-volume-regularized weighted symmetric nonnegative matrix factorization for clustering. GlobalSIP Tianxiang Gao, Sigurdur Olofsson, Songtao Lu
2015	Misc	`conf`	Drug-induced mRNA Signatures Are Enriched for the Minority of Genes that Are Highly Heritable. Pacific Symposium on Biocomputing Tianxiang Gao, Petter Brodin, Mark M. Davis, Vladimir Jojic
2014	J	`jnl`	Modelling relational statistics with Bayes Nets. Mach. Learn. Oliver Schulte, Hassan Khosravi, Arthur E. Kirkpatrick, Tianxiang Gao, Yuke Zhu
2012	J	`jnl`	Learning compact Markov logic networks with decision trees. Mach. Learn. Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao
2012	—	`conf`	Random Regression for Bayes Nets Applied to Relational Data. StarAI@UAI Oliver Schulte, Hassan Khosravi, Tianxiang Gao, Yuke Zhu
2011	B	`conf`	Learning Compact Markov Logic Networks with Decision Trees. ILP Hassan Khosravi, Oliver Schulte, Jianfeng Hu, Tianxiang Gao