Tianyu Li | DeepAI

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∙ 05/24/2023

Differentially-Private Decision Trees with Probabilistic Robustness to Data Poisoning

Decision trees are interpretable models that are well-suited to non-line...

0 Daniël Vos, et al. ∙

∙ 05/24/2023

ACE: Adversarial Correspondence Embedding for Cross Morphology Motion Retargeting from Human to Nonhuman Characters

Motion retargeting is a promising approach for generating natural and co...

0 Tianyu Li, et al. ∙

∙ 03/28/2023

ARMP: Autoregressive Motion Planning for Quadruped Locomotion and Navigation in Complex Indoor Environments

Generating natural and physically feasible motions for legged robots has...

0 Jeonghwan Kim, et al. ∙

∙ 03/18/2023

3D Data Augmentation for Driving Scenes on Camera

Driving scenes are extremely diverse and complicated that it is impossib...

1 Wenwen Tong, et al. ∙

∙ 03/18/2023

A VMS-FEM for the stress-history-dependent materials (fluid or solid) interacting with the rigid body structure: formulation, numerical verification and application in the pipe

The problem of multiphase materials (fluid or solid) interacting with th...

0 Tianyu Li, et al. ∙

∙ 06/08/2022

Sequential Density Estimation via NCWFAs Sequential Density Estimation via Nonlinear Continuous Weighted Finite Automata

Weighted finite automata (WFAs) have been widely applied in many fields....

0 Tianyu Li, et al. ∙

∙ 03/06/2022

foREST: A Tree-based Approach for Fuzzing RESTful APIs

Representational state transfer (REST) is a widely employed architecture...

0 Jiaxian Lin, et al. ∙

∙ 02/14/2022

UserBERT: Modeling Long- and Short-Term User Preferences via Self-Supervision

E-commerce platforms generate vast amounts of customer behavior data, su...

0 Tianyu Li, et al. ∙

∙ 09/27/2021

Model-based Motion Imitation for Agile, Diverse and Generalizable Quadupedal Locomotion

Robots operating in human environments need a variety of skills, like sl...

0 Tianyu Li, et al. ∙

∙ 11/24/2020

Learning Navigation Skills for Legged Robots with Learned Robot Embeddings

Navigation policies are commonly learned on idealized cylinder agents in...

0 Joanne Truong, et al. ∙

∙ 10/19/2020

Connecting Weighted Automata, Tensor Networks and Recurrent Neural Networks through Spectral Learning

In this paper, we present connections between three models used in diffe...

0 Tianyu Li, et al. ∙

∙ 10/12/2020

Neural Representations in Hybrid Recommender Systems: Prediction versus Regularization

Autoencoder-based hybrid recommender systems have become popular recentl...

0 Ramin Raziperchikolaei, et al. ∙

∙ 08/27/2020

Planning in Learned Latent Action Spaces for Generalizable Legged Locomotion

Hierarchical learning has been successful at learning generalizable loco...

0 Tianyu Li, et al. ∙

∙ 04/29/2020

Mainlining Databases: Supporting Fast Transactional Workloads on Universal Columnar Data File Formats

The proliferation of modern data processing tools has given rise to open...

0 Tianyu Li, et al. ∙

∙ 02/07/2020

Provably efficient reconstruction of policy networks

Recent research has shown that learning poli-cies parametrized by large ...

18 Bogdan Mazoure, et al. ∙

∙ 11/12/2019

Efficient Planning under Partial Observability with Unnormalized Q Functions and Spectral Learning

Learning and planning in partially-observable domains is one of the most...

0 Tianyu Li, et al. ∙

∙ 10/15/2019

Learning Classifiers on Positive and Unlabeled Data with Policy Gradient

Existing algorithms aiming to learn a binary classifier from positive (P...

0 Tianyu Li, et al. ∙

∙ 09/26/2019

Learning Generalizable Locomotion Skills with Hierarchical Reinforcement Learning

Learning to locomote to arbitrary goals on hardware remains a challengin...

0 Tianyu Li, et al. ∙

∙ 07/10/2019

Bayesian Optimization in Variational Latent Spaces with Dynamic Compression

Data-efficiency is crucial for autonomous robots to adapt to new tasks a...

0 Rika Antonova, et al. ∙

∙ 03/01/2019

GRP Model for Sensorimotor Learning

Learning from complex demonstrations is challenging, especially when the...

0 Tianyu Li, et al. ∙

∙ 12/17/2018

Deep Heterogeneous Autoencoders for Collaborative Filtering

This paper leverages heterogeneous auxiliary information to address the ...

0 Tianyu Li, et al. ∙

∙ 09/28/2018

Using Deep Reinforcement Learning to Learn High-Level Policies on the ATRIAS Biped

Learning controllers for bipedal robots is a challenging problem, often ...

0 Tianyu Li, et al. ∙

∙ 07/04/2018

Connecting Weighted Automata and Recurrent Neural Networks through Spectral Learning

In this paper, we unravel a fundamental connection between weighted fini...

0 Guillaume Rabusseau, et al. ∙

∙ 09/13/2017

Neural Network Based Nonlinear Weighted Finite Automata

Weighted finite automata (WFA) can expressively model functions defined ...

0 Tianyu Li, et al. ∙