Yuhai Tu

发表

Shortest Loops are Pacemakers in Random Networks of Electrically Coupled Axons

Roger D. Traub, Nikita Vladimirov, Yuhai Tu, 2012, Front. Comput. Neurosci..

A dual regulation mechanism of histidine kinase CheA identified by combining network-dynamics modeling and system-level input-output data

Wenlin Pan, Yuhai Tu, Bernardo A. Mello, 2018, PLoS Comput. Biol..

Analysis of Gene Expression Microarrays for Phenotype Classification

Andrea Califano, Gustavo Stolovitzky, Yuhai Tu, 2000, ISMB.

How neural networks find generalizable solutions: Self-tuned annealing in deep learning pdf

Yu Feng, Yuhai Tu, Y. Tu, 2020, ArXiv.

Can we identify cellular pathways implicated in cancer using gene expression data?

Nigam H. Shah, Gustavo Stolovitzky, Yuhai Tu, 2003, Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003.

Learning to Learn without Forgetting By Maximizing Transfer and Minimizing Interference pdf

Gerald Tesauro, Miao Liu, Irina Rish, 2018, ICLR.

How robust is the Internet?

Yuhai Tu, Yuhai Tu, 2000, Nature.

The energy cost of accurate adaptation in networks with incoherent type-1 feed-forward loop

Yuhai Tu, Ganhui Lan, 2012 .

Behaviors and Strategies of Bacterial Navigation in Chemical and Nonchemical Gradients

Bo Hu, Yuhai Tu, Y. Tu, 2014, PLoS Comput. Biol..

Continual Learning with Self-Organizing Maps pdf

Martin Schrimpf, Pouya Bashivan, Irina Rish, 2019, ArXiv.

Genes@Work: an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data

Gustavo Stolovitzky, John Jeremy Rice, Yuhai Tu, 2004, Bioinform..

Quantitative Modeling of Escherichia coli Chemotactic Motion in Environments Varying in Space and Time

Lili Jiang, Yuhai Tu, Qi Ouyang, 2010, PLoS Comput. Biol..

Pacific Symposium on Biocomputing 13:366-377(2008) SPATIALLY-COMPRESSED CARDIAC MYOFILAMENT MODELS GENERATE HYSTERESIS THAT IS NOT FOUND IN REAL MUSCLE

Corrado Poggesi, John Jeremy Rice, Yuhai Tu, 2022 .

Statistical properties of the optimal sensitivity matrix for compressed sensing with nonlinear sensors

Chao Tang, Yuhai Tu, Qianyi Li, 2018, bioRxiv.

Microfluidics and its applications in quantitative biology

Yuhai Tu, Y. Tu, 2013, Quantitative Biology.

The optimal odor-receptor interaction network is sparse in olfactory systems: Compressed sensing by nonlinear neurons with a finite dynamic range

Qianyi Li, Chao Tang, Yuhai Tu, 2018 .

Self-tuned annealing in deep learning: How neural networks find generalizable solutions

Yuhai Tu, 2020 .

Reconstructing biological networks using conditional correlation analysis

Gustavo Stolovitzky, John Jeremy Rice, Yuhai Tu, 2005, Bioinform..

Design principles and optimal performance for molecular motors under realistic constraints.

Yuhai Tu, Yuansheng Cao, Y. Tu, 2018, Physical review. E.

Phases of learning dynamics in artificial neural networks in the absence or presence of mislabeled data

Yuhai Tu, Yu Feng, Y. Tu, 2021, Mach. Learn. Sci. Technol..

Short-Term Plasticity Regulates Both Divisive Normalization and Adaptive Responses in Drosophila Olfactory System

Yuhai Tu, Yuxuan Liu, Qianyi Li, 2021, Frontiers in Computational Neuroscience.

Swarming in the Dirt: Ordered Flocks with Quenched Disorder.

Nicholas Guttenberg, Yuhai Tu, John Toner, 2018, Physical review letters.

The nonequilibrium mechanism for ultrasensitivity in a biological switch: Sensing by Maxwell's demons

Yuhai Tu, Y. Tu, 2008, Proceedings of the National Academy of Sciences.

Identification of Hodgkin and Reed-Sternberg cell-specific genes by gene expression profiling.

Andrea Califano, Yuhai Tu, Martin-Leo Hansmann, 2003, The Journal of clinical investigation.

Origin of apparent critical thickness for island formation in heteroepitaxy.

Yuhai Tu, Y. Tu, J. Tersoff, 2004, Physical review letters.

Wave Speed in Excitable Random Networks with Spatially Constrained Connections

Roger D. Traub, Nikita Vladimirov, Yuhai Tu, 2011, PloS one.

Free energy cost of reducing noise while maintaining a high sensitivity.

Yuhai Tu, Pablo Sartori, Y. Tu, 2015, Physical review letters.

Noise Filtering Strategies of Adaptive Signaling Networks: The Case of E. Coli Chemotaxis

Yuhai Tu, Pablo Sartori, Y. Tu, 2011, 1104.4092.

Odor-evoked inhibition of olfactory sensory neurons drives olfactory perception in Drosophila

Yuhai Tu, Chao Tang, Shanshan Qin, 2017, Nature Communications.

Dynamics of the bacterial flagellar motor with multiple stators

Yuhai Tu, Y. Tu, G. Meacci, 2009, Proceedings of the National Academy of Sciences.

Coarsening, mixing, and motion: the complex evolution of epitaxial islands.

Yuhai Tu, Y. Tu, J. Tersoff, 2007, Physical review letters.

Pathway-based mean-field model for Escherichia coli chemotaxis.

Tailin Wu, Yuhai Tu, Guangwei Si, 2012, Physical review letters.

Perfect and near-perfect adaptation in a model of bacterial chemotaxis.

Yuhai Tu, Bernardo A Mello, Y. Tu, 2002, Biophysical journal.

Worm structure in the modified Swift-Hohenberg equation for electroconvection

Yuhai Tu, 1997 .

Spatiotemporal patterns of electrocorticographic very fast oscillations (>80 Hz) consistent with a network model based on electrical coupling between principal neurons

Torsten Baldeweg, Yuhai Tu, Miles A Whittington, 2009, Epilepsia.

Lateral density of receptor arrays in the membrane plane influences sensitivity of the E. coli chemotaxis response

Xiongwu Wu, Sriram Subramaniam, Yuhai Tu, 2011, The EMBO journal.

The free energy cost of accurate biochemical oscillations

Yuhai Tu, Yuansheng Cao, Qi Ouyang, 2015, Nature Physics.

Distinct signaling of Drosophila chemoreceptors in olfactory sensory neurons

Yuhai Tu, Dong Yang, Ying Shen, 2016, Proceedings of the National Academy of Sciences.

Identification of a global gene expression signature of B-chronic lymphocytic leukemia.

Yuhai Tu, Stephen J Iturria, Jorge Lepre, 2003, Molecular cancer research : MCR.

Phases and phase transitions in flocking systems

Yuhai Tu, Y. Tu, Y. Tu, 2000 .

SOUND WAVES AND THE ABSENCE OF GALILEAN INVARIANCE IN FLOCKS

Yuhai Tu, John Toner, Markus Ulm, 1998 .

Transcriptional analysis of the B cell germinal center reaction

Andrea Califano, Yuhai Tu, Gustavo A. Stolovitzky, 2003, Proceedings of the National Academy of Sciences of the United States of America.

Work : an efficient algorithm for pattern discovery and multivariate feature selection in gene expression data

Gustavo Stolovitzky, Yuhai Tu, Jorge Lepre, 2004 .

A Theory of Mesoscopic Phenomena: Time Scales, Emergent Unpredictability, Symmetry Breaking and Dynamics Across Different Levels

Ping Ao, Hong Qian, Yuhai Tu, 2013 .

How white noise generates power-law switching in bacterial flagellar motors.

Yuhai Tu, G Grinstein, G. Grinstein, 2005, Physical review letters.

Frequency-dependent Escherichia coli chemotaxis behavior.

Tailin Wu, Yuhai Tu, Guangwei Si, 2012, Physical review letters.

Barrier Crossing in Escherichia coli Chemotaxis.

Yuhai Tu, Guangwei Si, Chunxiong Luo, 2017, Physical review letters.

chemotaxis responses to multiple stimuli An allosteric model for heterogeneous receptor complexes : Understanding bacterial

Yuhai Tu, Bernardo A. Mello, Y. Tu, 2005 .

A mechanism for precision-sensing via a gradient-sensing pathway: a model of Escherichia coli thermotaxis.

Yuhai Tu, Qi Ouyang, Y. Tu, 2009, Biophysical journal.

Optimal compressed sensing strategies for an array of nonlinear olfactory receptor neurons with and without spontaneous activity

Qianyi Li, Yuhai Tu, Chao Tang, 2019, Proceedings of the National Academy of Sciences.

Tandem adaptation with a common design in Escherichia coli chemotaxis.

Yuhai Tu, H. Berg, Y. Tu, 2012, Journal of molecular biology.

Ising model of cardiac thin filament activation with nearest-neighbor cooperative interactions.

Gustavo Stolovitzky, John Jeremy Rice, Yuhai Tu, 2003, Biophysical journal.

Modeling the chemotactic response of Escherichia coli to time-varying stimuli

Yuhai Tu, Thomas S Shimizu, H. Berg, 2008, Proceedings of the National Academy of Sciences.

Effects of adaptation in maintaining high sensitivity over a wide range of backgrounds for Escherichia coli chemotaxis.

Yuhai Tu, Bernardo A Mello, Y. Tu, 2007, Biophysical journal.

The energy-speed-accuracy tradeoff in sensory adaptation

Yuhai Tu, Victor Sourjik, Pablo Sartori, 2012, Nature Physics.

Precision sensing by two opposing gradient sensors: how does Escherichia coli find its preferred pH level?

Yuhai Tu, Y. Tu, Bo Hu, 2013, Biophysical journal.