Robust foot placement control for dynamic walking using online parameter estimation. - Qingbiao Li; Iordanis Chatzinikolaidis; Yiming Yang; Sethu Vijayakumar; Zhibin Li 001 (Humanoids, 2017)

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)

Graph Neural Networks for Decentralized Path Planning. - Qingbiao Li; Fernando Gama; Alejandro Ribeiro; Amanda Prorok (AAMAS, 2020)

Graph Neural Networks for Decentralized Multi-Robot Path Planning. - Qingbiao Li; Fernando Gama; Alejandro Ribeiro; Amanda Prorok (IROS, 2020)

Hierarchical Transformer Network for Utterance-level Emotion Recognition. - Qingbiao Li; Chunhua Wu; Kangfeng Zheng; Zhe Wang 031 (CoRR, 2020)

Text Classification with Lexicon from PreAttention Mechanism. - Qingbiao Li; Chunhua Wu; Kangfeng Zheng (CoRR, 2020)

Decentralized Control with Graph Neural Networks. - Fernando Gama; Qingbiao Li; Ekaterina I. Tolstaya; Amanda Prorok; Alejandro Ribeiro (CoRR, 2020)

Mobile Robot Path Planning in Dynamic Environments Through Globally Guided Reinforcement Learning. - Binyu Wang; Zhe Liu 022; Qingbiao Li; Amanda Prorok (IEEE Robotics Autom. Lett., 2020)

Adversarial Text Generation for Personality Privacy Protection. - Zhe Wang 031; Kangfeng Zheng; Qingbiao Li; Maonan Wang; Xiujuan Wang (DSIT, 2021)

Graph Neural Networks for Decentralized Multi-Robot Submodular Action Selection. - Lifeng Zhou; Vishnu D. Sharma; Qingbiao Li; Amanda Prorok; Alejandro Ribeiro; Vijay Kumar 001 (CoRR, 2021)

Message-Aware Graph Attention Networks for Large-Scale Multi-Robot Path Planning. - Qingbiao Li; Weizhe Lin; Zhe Liu 022; Amanda Prorok (IEEE Robotics Autom. Lett., 2021)

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 022; Ethan Stump (AAMAS, 2022)

Graph Neural Network Guided Local Search for the Traveling Salesperson Problem. - Benjamin Hudson; Qingbiao Li; Matthew Malencia; Amanda Prorok (ICLR, 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 (ICRA, 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 001 (SSRR, 2022)

Learning to Navigate using Visual Sensor Networks. - Jan Blumenkamp; Qingbiao Li; Binyu Wang; Zhe Liu 022; Amanda Prorok (CoRR, 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)

Accelerating Multi-Agent Planning Using Graph Transformers with Bounded Suboptimality. - Chenning Yu; Qingbiao Li; Sicun Gao; Amanda Prorok (ICRA, 2023)

See What the Robot Can't See: Learning Cooperative Perception for Visual Navigation. - Jan Blumenkamp; Qingbiao Li; Binyu Wang; Zhe Liu 022; Amanda Prorok (IROS, 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 001; Jia Pan 001 (CoRR, 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 Using Hierarchical Graph Neural Network. - Linhan Yang; Bidan Huang; Qingbiao Li; Ya-Yen Tsai; Wang Wei Lee; Chaoyang Song 001; Jia Pan 001 (IEEE Robotics Autom. Lett., 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; et al. (Nat. Mac. Intell., 2023)

Improving text classification through pre-attention mechanism-derived lexicons. - Zhe Wang 031; Qingbiao Li; Bin Wang; Tong Wu; Chengwei Chang (Appl. Intell., 2024)

RAP: Runtime-Adaptive Pruning for LLM Inference. - Huanrong Liu; Chunlin Tian; Xuyang Wei; Jiaheng Dai; Qin Liu; Tianqi Wei; Qingbiao Li; Li Li 064 (CoRR, 2025)

GREAT: Guiding Query Generation with a Trie for Recommending Related Search about Video at Kuaishou. - Ninglu Shao; Jinshan Wang; Chenxu Wang; Qingbiao Li; Xiaoxue Zang; Han Li 005 (CoRR, 2025)