Yiqing Xu

Orcid: 0000-0002-7962-6668

According to our database1, Yiqing Xu authored at least 30 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
Computer-Based Experiment for the Motion of Spring Oscillator on a Linear Air Track Using Ultrasonic Sensor.
Sensors, July, 2024

"Set It Up!": Functional Object Arrangement with Compositional Generative Models.
CoRR, 2024

Differentiable Particles for General-Purpose Deformable Object Manipulation.
CoRR, 2024

LLMs for Robotic Object Disambiguation.
CoRR, 2024

A Comprehensive Review on the Application of Artificial Intelligence in Chronic Obstructive Pulmonary Disease (COPD) Management.
Proceedings of the 18th International Conference on Ubiquitous Information Management and Communication, 2024

2023
Panel Data Visualization in <i>R</i> (panelView) and <i>Stata</i> (panelview).
J. Stat. Softw., 2023

Learning Reward for Physical Skills using Large Language Model.
CoRR, 2023

How to Tidy Up a Table: Fusing Visual and Semantic Commonsense Reasoning for Robotic Tasks with Vague Objectives.
CoRR, 2023

On the Effective Horizon of Inverse Reinforcement Learning.
CoRR, 2023

People Flow Monitoring Based on Deep Learning.
Proceedings of the Data Science, 2023

DaxBench: Benchmarking Deformable Object Manipulation with Differentiable Physics.
Proceedings of the Eleventh International Conference on Learning Representations, 2023


A Wideband Low-Noise Linear LiDAR Analog Front-End Achieving 1.6 GHz Bandwidth, $\boldsymbol{2.7}\ \mathbf{pA}/\mathbf{Hz}^{\boldsymbol{0.5}}$ Input Referred Noise, and 103 $\mathbf{dB}\mathbf{\Omega}$ Transimpedance Gain.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

2022
Benchmarking Deformable Object Manipulation with Differentiable Physics.
CoRR, 2022

Receding Horizon Inverse Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

COACH: Cooperative Robot Teaching.
Proceedings of the Conference on Robot Learning, 2022

2020
Multi-Stage Feature Constraints Learning for Age Estimation.
IEEE Trans. Inf. Forensics Secur., 2020

TCDNet: Trilateral Change Detection Network for Google Earth Image.
Remote. Sens., 2020

Density-based semi-supervised online sequential extreme learning machine.
Neural Comput. Appl., 2020

Weighted Densely Connected Convolutional Networks for Reinforcement Learning.
Int. J. Pattern Recognit. Artif. Intell., 2020

Portfolio trading system of digital currencies: A deep reinforcement learning with multidimensional attention gating mechanism.
Neurocomputing, 2020

Water Areas Segmentation from Remote Sensing Images Using a Separable Residual SegNet Network.
ISPRS Int. J. Geo Inf., 2020

Land use/land cover recognition in arid zone using A multi-dimensional multi-grained residual Forest<sup>☆</sup>.
Comput. Geosci., 2020

Factor Graph Molecule Network for Structure Elucidation.
CoRR, 2020

2019
Dilated residual attention network for load disaggregation.
Neural Comput. Appl., 2019

Multi-scale residual network for energy disaggregation.
Int. J. Sens. Networks, 2019

2018
Least squares twin bounded support vector machines based on L1-norm distance metric for classification.
Pattern Recognit., 2018

L1-Norm GEPSVM Classifier Based on an Effective Iterative Algorithm for Classification.
Neural Process. Lett., 2018

2007
A Multi-Agent Temporal Constraint Satisfaction System Based on Allen's Interval Algebra and Probabilities.
Int. J. Inf. Technol. Web Eng., 2007

A Probabilistic Multi-agent Scheduler Implemented in JXTA.
Proceedings of the Network-Based Information Systems, First International Conference, 2007


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