Kevin Tian
The University of Texas at Austin(US)
Publications by Year
Research Areas
Markov Chains and Monte Carlo Methods, Sparse and Compressive Sensing Techniques, Stochastic Gradient Optimization Techniques, Advanced Optimization Algorithms Research, Genomics and Chromatin Dynamics
Most-Cited Works
- → A novel k -mer set memory (KSM) motif representation improves regulatory variant prediction(2018)58 cited
- → CAGI, the Critical Assessment of Genome Interpretation, establishes progress and prospects for computational genetic variant interpretation methods(2024)54 cited
- → Predicting gene expression in massively parallel reporter assays: A comparative study(2017)52 cited
- → Positive semidefinite programming: mixed, parallel, and width-independent(2020)12 cited
- → Predicting Transcriptional Regulatory Activities with Deep Convolutional Networks(2017)10 cited
- → Logsmooth Gradient Concentration and Tighter Runtimes for Metropolized Hamiltonian Monte Carlo(2020)9 cited
- → Robust Sub-Gaussian Principal Component Analysis and Width-Independent Schatten Packing(2020)7 cited
- → Lower Bounds on Metropolized Sampling Methods for Well-Conditioned\n Distributions(2021)6 cited
- → A novel k-mer set memory (KSM) motif representation improves regulatory variant prediction(2017)6 cited