Yuqing Du

Orcid: 0009-0008-8021-4610

According to our database1, Yuqing Du authored at least 37 papers between 2018 and 2024.

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Bibliography

2024
Imagen 3.
CoRR, 2024

Semi-Supervised One-Shot Imitation Learning.
CoRR, 2024

HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators.
CoRR, 2024

Teaching Large Language Models to Reason with Reinforcement Learning.
CoRR, 2024

Learning to Model the World With Language.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
Joint optimization of low-carbon product family configuration and smart production line selection.
Comput. Ind. Eng., August, 2023

DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
CoRR, 2023

Aligning Text-to-Image Models using Human Feedback.
CoRR, 2023

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Practical Visual Deep Imitation Learning via Task-Level Domain Consistency.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Guiding Pretraining in Reinforcement Learning with Large Language Models.
Proceedings of the International Conference on Machine Learning, 2023

Schema of an affective cognitive learning system for piano timbre differences: application of the sequential patternmining algorithm.
Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

Vision-Language Models as Success Detectors.
Proceedings of the Conference on Lifelong Learning Agents, 2023

2022
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer.
IEEE Trans. Wirel. Commun., 2022

It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation.
CoRR, 2022

Practical Imitation Learning in the Real World via Task Consistency Loss.
CoRR, 2022

Bayesian Imitation Learning for End-to-End Mobile Manipulation.
Proceedings of the International Conference on Machine Learning, 2022

It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis.
IEEE Trans. Wirel. Commun., 2021

Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing.
IEEE Trans. Wirel. Commun., 2021

Capacity of Remote Classification Over Wireless Channels.
IEEE Trans. Commun., 2021

Wirelessly Powered Federated Edge Learning.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Auto-Tuned Sim-to-Real Transfer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning.
IEEE Trans. Signal Process., 2020

Robust Reinforcement Learning using Adversarial Populations.
CoRR, 2020

Toward an Intelligent Edge: Wireless Communication Meets Machine Learning.
IEEE Commun. Mag., 2020

AvE: Assistance via Empowerment.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Energy-Efficient Radio Resource Allocation for Federated Edge Learning.
Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning.
Proceedings of the IEEE Global Communications Conference, 2020

2019
Fast Analog Transmission for High-Mobility Wireless Data Acquisition in Edge Learning.
IEEE Wirel. Commun. Lett., 2019

An Introduction to Communication Efficient Edge Machine Learning.
CoRR, 2019

Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation.
Proceedings of the International Conference on Robotics and Automation, 2019

High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning.
Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold.
IEEE Trans. Signal Process., 2018

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning.
CoRR, 2018

Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version).
CoRR, 2018

Communication, Computing, and Learning on the Edge.
Proceedings of the IEEE International Conference on Communication Systems, 2018


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