Yuhai Tu - RankMe

28 papers A* 1A 1Misc 1Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Superlinear Relationship between SGD Noise Covariance and Loss Landscape Curvature. CoRR Yikuan Zhang, Ning Yang, Yuhai Tu
2026	J	`jnl`	Transient learning dynamics drive escape from sharp valleys in Stochastic Gradient Descent. CoRR Ning Yang, Yikuan Zhang, Qi Ouyang, Chao Tang, Yuhai Tu
2025	—	`conf`	Maximizing Information in Domain-Invariant Representation Improves Transfer Learning. CIC Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang, Ankush Singla, Yuhai Tu, Mark N. Wegman
2023	J	`jnl`	Activity-weight duality in feed-forward neural networks reveals two co-determinants for generalization. Nat. Mac. Intell. Yu Feng, Wei Zhang, Yuhai Tu
2023	J	`jnl`	Maximal Domain Independent Representations Improve Transfer Learning. CoRR Adrian Shuai Li, Elisa Bertino, Xuan-Hong Dang, Ankush Singla, Yuhai Tu, Mark N. Wegman
2022	J	`jnl`	Effective Dynamics of Generative Adversarial Networks. CoRR Steven Durr, Youssef Mroueh, Yuhai Tu, Shenshen Wang
2022	J	`jnl`	Stochastic gradient descent introduces an effective landscape-dependent regularization favoring flat solutions. CoRR Ning Yang, Chao Tang, Yuhai Tu
2022	J	`jnl`	The activity-weight duality in feed forward neural networks: The geometric determinants of generalization. CoRR Yu Feng, Yuhai Tu
2021	J	`jnl`	Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. CoRR Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu
2021	J	`jnl`	Phases of learning dynamics in artificial neural networks in the absence or presence of mislabeled data. Mach. Learn. Sci. Technol. Yu Feng, Yuhai Tu
2021	J	`jnl`	Phases of learning dynamics in artificial neural networks: with or without mislabeled data. CoRR Yu Feng, Yuhai Tu
2021	J	`jnl`	Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System. Frontiers Comput. Neurosci. Yuxuan Liu, Qianyi Li, Chao Tang, Shanshan Qin, Yuhai Tu
2021	J	`jnl`	The inverse variance-flatness relation in stochastic gradient descent is critical for finding flat minima. Proc. Natl. Acad. Sci. USA Yu Feng, Yuhai Tu
2020	J	`jnl`	How neural networks find generalizable solutions: Self-tuned annealing in deep learning. CoRR Yu Feng, Yuhai Tu
2019	J	`jnl`	Continual Learning with Self-Organizing Maps. CoRR Pouya Bashivan, Martin Schrimpf, Robert Ajemian, Irina Rish, Matthew Riemer, Yuhai Tu
2019	—	`conf`	Learning to Learn without Forgetting by Maximizing Transfer and Minimizing Interference. ICLR (Poster) Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro
2018	J	`jnl`	A dual regulation mechanism of histidine kinase CheA identified by combining network-dynamics modeling and system-level input-output data. PLoS Comput. Biol. Bernardo A. Mello, Wenlin Pan, Gerald L. Hazelbauer, Yuhai Tu
2018	J	`jnl`	Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference. CoRR Matthew Riemer, Ignacio Cases, Robert Ajemian, Miao Liu, Irina Rish, Yuhai Tu, Gerald Tesauro
2014	J	`jnl`	Behaviors and Strategies of Bacterial Navigation in Chemical and Nonchemical Gradients. PLoS Comput. Biol. Bo Hu, Yuhai Tu
2013	J	`jnl`	Microfluidics and its applications in quantitative biology. Quant. Biol. Yuhai Tu
2012	J	`jnl`	Shortest Loops are Pacemakers in Random Networks of Electrically Coupled Axons. Frontiers Comput. Neurosci. Nikita Vladimirov, Yuhai Tu, Roger D. Traub
2010	J	`jnl`	Quantitative Modeling of PLoS Comput. Biol. Lili Jiang, Qi Ouyang, Yuhai Tu
2008	Misc	`conf`	Spatially-Compressed Cardiac Myofilament Models Generate Hysteresis that Is Not Found in Real Muscle. Pacific Symposium on Biocomputing John Jeremy Rice, Yuhai Tu, Corrado Poggesi, Pieter P. deTombe
2005	J	`jnl`	Reconstructing biological networks using conditional correlation analysis. Bioinform. John Jeremy Rice, Yuhai Tu, Gustavo Stolovitzky
2004	J	`jnl`	Genes@Work: an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data. Bioinform. Jorge Lepre, John Jeremy Rice, Yuhai Tu, Gustavo Stolovitzky
2003	—	`conf`	Can We Identify Cellular Pathways Implicated in Cancer Using Gene Expression Data? CSB Nigam Shah, Jorge Lepre, Yuhai Tu, Gustavo Stolovitzky
2003	A*	`conf`	Dynamics of Coalition Formation in Combinatorial Trading. IJCAI Yiming Ye, Yuhai Tu
2000	A	`conf`	Analysis of Gene Expression Microarrays for Phenotype Classification. ISMB Andrea Califano, Gustavo Stolovitzky, Yuhai Tu