activity
20222024
most citedA Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.SE2024

Towards a Fault-Injection Benchmarking Suite

Tianhao Wang, Robin Thunig, Horst Schirmeier

Soft errors in memories and logic circuits are known to disturb program execution. In this context, the research community has been proposing a plethora of fault-tolerance (FT) sol…

cs.SD2024

How phonemes contribute to deep speaker models?

Pengqi Li, Tianhao Wang, Lantian Li +2

Which phonemes convey more speaker traits is a long-standing question, and various perception experiments were conducted with human subjects. For speaker recognition, studies were…

cs.LG2023

Neural Lumped Parameter Differential Equations with Application in Friction-Stir Processing

James Koch, WoongJo Choi, Ethan King +5

Lumped parameter methods aim to simplify the evolution of spatially-extended or continuous physical systems to that of a "lumped" element representative of the physical scales of t…

econ.GN2023

Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning

Ruitu Xu, Yifei Min, Tianhao Wang +3

We study a heterogeneous agent macroeconomic model with an infinite number of households and firms competing in a labor market. Each household earns income and engages in consumpti…

cs.RO2022

Research on Stable Obstacle Avoidance Control Strategy for Tracked Intelligent Transportation Vehicles in Non-structural Environment Based on Deep Learning

Yitian Wang, Jun Lin, Liu Zhang +4

Existing intelligent driving technology often has a problem in balancing smooth driving and fast obstacle avoidance, especially when the vehicle is in a non-structural environment,…

cs.LG20221 cited

Implicit Bias of Gradient Descent on Reparametrized Models: On Equivalence to Mirror Descent

Zhiyuan Li, Tianhao Wang, JasonD. Lee +1

As part of the effort to understand implicit bias of gradient descent in overparametrized models, several results have shown how the training trajectory on the overparametrized mod…