158 citations · 220 across the 20 of their papers we have counts for
20 papers
Guided Online Distillation: Promoting Safe Reinforcement Learning by Offline Demonstration
Jinning Li, Xinyi Liu, Banghua Zhu +4
Safe Reinforcement Learning (RL) aims to find a policy that achieves high rewards while satisfying cost constraints. When learning from scratch, safe RL agents tend to be overly co…
Influence Pathway Discovery on Social Media
Xinyi Liu, Ruijie Wang, Dachun Sun +13
This paper addresses influence pathway discovery, a key emerging problem in today's online media. We propose a discovery algorithm that leverages recently published work on unsuper…
S2R-ViT for Multi-Agent Cooperative Perception: Bridging the Gap from Simulation to Reality
Jinlong Li, Runsheng Xu, Xinyu Liu +4
Due to the lack of enough real multi-agent data and time-consuming of labeling, existing multi-agent cooperative perception algorithms usually select the simulated sensor data for…
Deep Transfer Learning for Intelligent Vehicle Perception: a Survey
Xinyu Liu, Jinlong Li, Jin Ma +4
Deep learning-based intelligent vehicle perception has been developing prominently in recent years to provide a reliable source for motion planning and decision making in autonomou…
Unsupervised Image Classification by Ideological Affiliation from User-Content Interaction Patterns
Xinyi Liu, Jinning Li, Dachun Sun +6
The proliferation of political memes in modern information campaigns calls for efficient solutions for image classification by ideological affiliation. While significant advances h…
ADAPT: Action-aware Driving Caption Transformer
Bu Jin, Xinyu Liu, Yupeng Zheng +6
End-to-end autonomous driving has great potential in the transportation industry. However, the lack of transparency and interpretability of the automatic decision-making process hi…
Exploring Text Selection in Augmented Reality Systems
Xinyi Liu, Xuanru Meng, Becky Spittle +3
Text selection is a common and essential activity during text interaction in all interactive systems. As Augmented Reality (AR) head-mounted displays (HMDs) become more widespread,…
Learning for Vehicle-to-Vehicle Cooperative Perception under Lossy Communication
Jinlong Li, Runsheng Xu, Xinyu Liu +4
Deep learning has been widely used in the perception (e.g., 3D object detection) of intelligent vehicle driving. Due to the beneficial Vehicle-to-Vehicle (V2V) communication, the d…
Interactive Imitation Learning in Robotics based on Simulations
Xinjie Liu
The transformation towards intelligence in various industries is creating more demand for intelligent and flexible products. In the field of robotics, learning-based methods are in…
Tensor Recovery Based on A Novel Non-convex Function Minimax Logarithmic Concave Penalty Function
Hongbing Zhang, Xinyi Liu, Chang Liu +3
Non-convex relaxation methods have been widely used in tensor recovery problems, and compared with convex relaxation methods, can achieve better recovery results. In this paper, a…
Rotation to Sparse Loadings using Losses and Related Inference Problems
Xinyi Liu, Gabriel Wallin, Yunxiao Chen +1
Researchers have widely used exploratory factor analysis (EFA) to learn the latent structure underlying multivariate data. Rotation and regularised estimation are two classes of me…
Low-light Image Enhancement by Retinex Based Algorithm Unrolling and Adjustment
Xinyi Liu, Qi Xie, Qian Zhao +2
Motivated by their recent advances, deep learning techniques have been widely applied to low-light image enhancement (LIE) problem. Among which, Retinex theory based ones, mostly f…
Low-Rank Tensor Completion Based on Bivariate Equivalent Minimax-Concave Penalty
Hongbing Zhang, Xinyi Liu, Hongtao Fan +2
Low-rank tensor completion (LRTC) is an important problem in computer vision and machine learning. The minimax-concave penalty (MCP) function as a non-convex relaxation has achieve…
Emergency Vehicles Audio Detection and Localization in Autonomous Driving
Hongyi Sun, Xinyi Liu, Kecheng Xu +2
Emergency vehicles in service have right-of-way over all other vehicles. Hence, all other vehicles are supposed to take proper actions to yield emergency vehicles with active siren…
Tensor Full Feature Measure and Its Nonconvex Relaxation Applications to Tensor Recovery
Hongbing Zhang, Xinyi Liu, Hongtao Fan +2
Tensor sparse modeling as a promising approach, in the whole of science and engineering has been a huge success. As is known to all, various data in practical application are often…
Deep neural network methods for solving forward and inverse problems of time fractional diffusion equations with conformable derivative
Yinlin Ye, Yajing Li, Hongtao Fan +2
Physics-informed neural networks (PINNs) show great advantages in solving partial differential equations. In this paper, we for the first time propose to study conformable time fra…
Two New Low Rank Tensor Completion Methods Based on Sum Nuclear Norm
Hongbing Zhang, Xinyi Liu, Hongtao Fan +2
The low rank tensor completion (LRTC) problem has attracted great attention in computer vision and signal processing. How to acquire high quality image recovery effect is still an…
Making Sense of the Robotized Pandemic Response: A Comparison of Global and Canadian Robot Deployments and Success Factors
T. Barfoot, J. Burgner-Kahrs, E. Diller +12
From disinfection and remote triage, to logistics and delivery, countries around the world are making use of robots to address the unique challenges presented by the COVID-19 pande…
Transfer Learning Robustness in Multi-Class Categorization by Fine-Tuning Pre-Trained Contextualized Language Models
Xinyi Liu, Artit Wangperawong
This study compares the effectiveness and robustness of multi-class categorization of Amazon product data using transfer learning on pre-trained contextualized language models. Spe…
A Collaborative Approach to Angel and Venture Capital Investment Recommendations
Xinyi Liu, Artit Wangperawong
Matrix factorization was used to generate investment recommendations for investors. An iterative conjugate gradient method was used to optimize the regularized squared-error loss f…