Tiancheng Li
Artificial Intelligence · with Bolic · 2015
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 9 citations into it; #27,818 of 35,345 by trust here, #34,213 by citations
- Probabilistic & Bayesian Methods — 5 citations into it
Whom Tiancheng Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Dieter Fox
- Arnaud Doucet
- Jun S. Liu
- Walter R. Gilks
- Jayesh H. Kotecha
- Neil J. Gordon
- Petar M. Djuric
- Miodrag Bolic
- Rong Chen
- Adam M. Johansen
Who trusts Tiancheng Li overall
Papers from Tiancheng Li's perspective
Ordered by how strongly the researchers Tiancheng Li trusts endorse each paper. Same corpus, a different order for every researcher.
- Sequential Monte Carlo methods for dynamic systems
- Following a moving target—Monte Carlo inference for dynamic Bayesian models
- Novel approach to nonlinear/non-Gaussian Bayesian state estimation
- A Tutorial on Particle Filtering and Smoothing: Fifteen years later
- Improved particle filter for nonlinear problems
- Filtering via Simulation: Auxiliary Particle Filters
- An Overview of Existing Methods and Recent Advances in Sequential Monte Carlo
- ImageNet classification with deep convolutional neural networks
- Learning Multiple Layers of Features from Tiny Images
- Adapting the Sample Size in Particle Filters Through KLD-Sampling (Int. J. Robotics Res.)
Their papers
- Resampling Methods for Particle Filtering: Classification, implementation, and strategies (2015) — 575 citations