7 citations · 9 across the 5 of their papers we have counts for
5 papers
MLP Can Be A Good Transformer Learner
Sihao Lin, Pumeng Lyu, Dongrui Liu +4
Self-attention mechanism is the key of the Transformer but often criticized for its computation demands. Previous token pruning works motivate their methods from the view of comput…
AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis
Tao Tang, Guangrun Wang, Yixing Lao +5
Neural implicit fields have been a de facto standard in novel view synthesis. Recently, there exist some methods exploring fusing multiple modalities within a single field, aiming…
Digital Twin Mobility Profiling: A Spatio-Temporal Graph Learning Approach
Xin Chen, Mingliang Hou, Tao Tang +2
With the arrival of the big data era, mobility profiling has become a viable method of utilizing enormous amounts of mobility data to create an intelligent transportation system. M…
Failure-informed adaptive sampling for PINNs, Part II: combining with re-sampling and subset simulation
Zhiwei Gao, Tao Tang, Liang Yan +1
This is the second part of our series works on failure-informed adaptive sampling for physic-informed neural networks (FI-PINNs). In our previous work \cite{gao2022failure}, we hav…
Hierarchical shrinkage Gaussian processes: applications to computer code emulation and dynamical system recovery
Tao Tang, Simon Mak, David Dunson
In many areas of science and engineering, computer simulations are widely used as proxies for physical experiments, which can be infeasible or unethical. Such simulations can often…