Qingbiao Li

According to our database, Qingbiao Li authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Improving text classification through pre-attention mechanism-derived lexicons.

Zhe Wang, Qingbiao Li, Bin Wang, Tong Wu, Chengwei Chang

Appl. Intell., November, 2024

2023

Self-supervised deep learning for tracking degradation of perovskite light-emitting diodes with multispectral imaging.

Kangyu Ji, Weizhe Lin, Yuqi Sun, Lin-Song Cui, Javad Shamsi, Yu-Hsien Chiang, Jiawei Chen, Elizabeth M. Tennyson, Linjie Dai, Qingbiao Li, Kyle Frohna, Miguel Anaya, Neil C. Greenham, Samuel D. Stranks

Nat. Mac. Intell., October, 2023

TacGNN: Learning Tactile-Based In-Hand Manipulation With a Blind Robot Using Hierarchical Graph Neural Network.

Linhan Yang, Bidan Huang, Qingbiao Li, Ya-Yen Tsai, Wang Wei Lee, Chaoyang Song, Jia Pan

IEEE Robotics Autom. Lett., June, 2023

Looking at the Body: Automatic Analysis of Body Gestures and Self-Adaptors in Psychological Distress.

Weizhe Lin, Indigo Orton, Qingbiao Li, Gabriela Pavarini, Marwa Mahmoud

IEEE Trans. Affect. Comput., 2023

TacGNN: Learning Tactile-based In-hand Manipulation with a Blind Robot.

Linhan Yang, Bidan Huang, Qingbiao Li, Ya-Yen Tsai, Wang Wei Lee, Chaoyang Song, Jia Pan

CoRR, 2023

See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation.

Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok

IROS, 2023

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality.

Chenning Yu, Qingbiao Li, Sicun Gao, Amanda Prorok

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

Synthesizing Decentralized Controllers With Graph Neural Networks and Imitation Learning.

Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro

IEEE Trans. Signal Process., 2022

Learning to Navigate using Visual Sensor Networks.

Jan Blumenkamp, Qingbiao Li, Binyu Wang, Zhe Liu, Amanda Prorok

CoRR, 2022

Graph Neural Networks for Decentralized Multi-Robot Target Tracking.

Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Pratap Tokekar, Vijay Kumar

Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics, 2022

A Framework for Real-World Multi-Robot Systems Running Decentralized GNN-Based Policies.

Jan Blumenkamp, Steven D. Morad, Jennifer Gielis, Qingbiao Li, Amanda Prorok

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Graph Neural Network Guided Local Search for the Traveling Salesperson Problem.

Benjamin Hudson, Qingbiao Li, Matthew Malencia, Amanda Prorok

Proceedings of the Tenth International Conference on Learning Representations, 2022

The Holy Grail of Multi-Robot Planning: Learning to Generate Online-Scalable Solutions from Offline-Optimal Experts.

Amanda Prorok, Jan Blumenkamp, Qingbiao Li, Ryan Kortvelesy, Zhe Liu, Ethan Stump

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning.

Qingbiao Li, Weizhe Lin, Zhe Liu, Amanda Prorok

IEEE Robotics Autom. Lett., 2021

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection.

Lifeng Zhou, Vishnu D. Sharma, Qingbiao Li, Amanda Prorok, Alejandro Ribeiro, Vijay Kumar

CoRR, 2021

Adversarial Text Generation for Personality Privacy Protection.

Zhe Wang, Kangfeng Zheng, Qingbiao Li, Maonan Wang, Xiujuan Wang

Proceedings of the DSIT 2021: 4th International Conference on Data Science and Information Technology, Shanghai, China, July 23, 2021

2020

Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning.

Binyu Wang, Zhe Liu, Qingbiao Li, Amanda Prorok

IEEE Robotics Autom. Lett., 2020

Decentralized Control with Graph Neural Networks.

Fernando Gama, Qingbiao Li, Ekaterina I. Tolstaya, Amanda Prorok, Alejandro Ribeiro

CoRR, 2020

Text Classification with Lexicon from PreAttention Mechanism.

Qingbiao Li, Chunhua Wu, Kangfeng Zheng

CoRR, 2020

Hierarchical Transformer Network for Utterance-level Emotion Recognition.

Qingbiao Li, Chunhua Wu, Kangfeng Zheng, Zhe Wang

CoRR, 2020

Graph Neural Networks for Decentralized Multi-Robot Path Planning.

Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Graph Neural Networks for Decentralized Path Planning.

Qingbiao Li, Fernando Gama, Alejandro Ribeiro, Amanda Prorok

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Estimation of tissue oxygen saturation from RGB images and sparse hyperspectral signals based on conditional generative adversarial network.

Qingbiao Li, Jianyu Lin, Neil T. Clancy, Daniel S. Elson

Int. J. Comput. Assist. Radiol. Surg., 2019

2017

Robust foot placement control for dynamic walking using online parameter estimation.

Qingbiao Li, Iordanis Chatzinikolaidis, Yiming Yang, Sethu Vijayakumar, Zhibin Li

Proceedings of the 17th IEEE-RAS International Conference on Humanoid Robotics, 2017