Yuqing Du

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

Collaborative distances:

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

2024

Imagen 3.

Jason Baldridge, Jakob Bauer, Mukul Bhutani, Nicole Brichtova, Andrew Bunner, Kelvin Chan, Yichang Chen, Sander Dieleman, Yuqing Du, Zach Eaton-Rosen, Hongliang Fei, Nando de Freitas, Yilin Gao, Evgeny Gladchenko, Sergio Gómez Colmenarejo, Mandy Guo, Alex Haig, Will Hawkins, Hexiang Hu, Huilian Huang, Tobenna Peter Igwe, Christos Kaplanis, Siavash Khodadadeh, Yelin Kim, Ksenia Konyushkova, Karol Langner, Eric Lau, Shixin Luo, Sona Mokrá, Henna Nandwani, Yasumasa Onoe, Aäron van den Oord, Zarana Parekh, Jordi Pont-Tuset, Hang Qi, Rui Qian, Deepak Ramachandran, Poorva Rane, Abdullah Rashwan, Ali Razavi, Robert Riachi, Hansa Srinivasan, Srivatsan Srinivasan, Robin Strudel, Benigno Uria, Oliver Wang, Su Wang, Austin Waters, Chris Wolff, Auriel Wright, Zhisheng Xiao, Hao Xiong, Keyang Xu, Marc van Zee, Junlin Zhang, Katie Zhang, Wenlei Zhou, Konrad Zolna, Ola Aboubakar, Canfer Akbulut, Oscar Akerlund, Isabela Albuquerque, Nina Anderson, Marco Andreetto, Lora Aroyo, Ben Bariach, David Barker, Sherry Ben, Dana Berman, Courtney Biles, Irina Blok, Pankil Botadra, Jenny Brennan, Karla Brown, John Buckley, Rudy Bunel, Elie Bursztein, Christina Butterfield, Ben Caine, Viral Carpenter, Norman Casagrande, Ming-Wei Chang, Solomon Chang, Shamik Chaudhuri, Tony Chen, John Choi, Dmitry Churbanau, Nathan Clement, Matan Cohen, Forrester Cole, Mikhail Dektiarev, Vincent Du, Praneet Dutta, Tom Eccles, Ndidi Elue, Ashley Feden, Shlomi Fruchter, Frankie Garcia, Roopal Garg

CoRR, 2024

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

Yizheng Wang, Xiang Li, Ziming Yan, Yuqing Du, Jinshuai Bai, Bokai Liu, Timon Rabczuk, Yinghua Liu

CoRR, 2024

Teaching Large Language Models to Reason with Reinforcement Learning.

Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu

CoRR, 2024

Semi-Supervised One Shot Imitation Learning.

Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel

RLJ, 2024

Learning to Model the World With Language.

Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan

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.

Xinggang Luo, Yuqing Du, Qiuyan Chen, Zhongliang Zhang

Comput. Ind. Eng., August, 2023

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

Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee

CoRR, 2023

Aligning Text-to-Image Models using Human Feedback.

Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu

CoRR, 2023

Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models.

Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee

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.

Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang

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

Guiding Pretraining in Reinforcement Learning with Large Language Models.

Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas

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.

Xiangdong Liang, Yuqing Du, Fangning Zhu

Proceedings of the 4th International Conference on Artificial Intelligence and Computer Engineering, 2023

Vision-Language Models as Success Detectors.

Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi

Proceedings of the Conference on Lifelong Learning Agents, 2023

2022

Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer.

Qunsong Zeng, Yuqing Du, Kaibin Huang

IEEE Trans. Wirel. Commun., 2022

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

Yuqing Du, Pieter Abbeel, Aditya Grover

CoRR, 2022

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

Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang

CoRR, 2022

Bayesian Imitation Learning for End-to-End Mobile Manipulation.

Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, Mohi Khansari

Proceedings of the International Conference on Machine Learning, 2022

It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation.

Yuqing Du, Pieter Abbeel, Aditya Grover

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.

Guangxu Zhu, Yuqing Du, Deniz Gündüz, Kaibin Huang

IEEE Trans. Wirel. Commun., 2021

Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing.

Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung

IEEE Trans. Wirel. Commun., 2021

Capacity of Remote Classification Over Wireless Channels.

Qiao Lan, Yuqing Du, Petar Popovski, Kaibin Huang

IEEE Trans. Commun., 2021

Wirelessly Powered Federated Edge Learning.

Qunsong Zeng, Yuqing Du, Kaibin Huang

Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Auto-Tuned Sim-to-Real Transfer.

Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning.

Yuqing Du, Sheng Yang, Kaibin Huang

IEEE Trans. Signal Process., 2020

Robust Reinforcement Learning using Adversarial Populations.

Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre M. Bayen

CoRR, 2020

Toward an Intelligent Edge: Wireless Communication Meets Machine Learning.

Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang

IEEE Commun. Mag., 2020

AvE: Assistance via Empowerment.

Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan

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.

Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung

Proceedings of the 2020 IEEE International Conference on Communications Workshops, 2020

One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning.

Guangxu Zhu, Yuqing Du, Deniz Gündüz, Kaibin Huang

Proceedings of the IEEE Global Communications Conference, 2020

2019

Fast Analog Transmission for High-Mobility Wireless Data Acquisition in Edge Learning.

Yuqing Du, Kaibin Huang

IEEE Wirel. Commun. Lett., 2019

An Introduction to Communication Efficient Edge Machine Learning.

Qiao Lan, Zezhong Zhang, Yuqing Du, Zhenyi Lin, Kaibin Huang

CoRR, 2019

Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation.

Yuqing Du, Nicholas J. Hetherington, Chu Lip Oon, Wesley P. Chan, Camilo Perez Quintero, Elizabeth A. Croft, H. F. Machiel Van der Loos

Proceedings of the International Conference on Robotics and Automation, 2019

High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning.

Yuqing Du, Sheng Yang, Kaibin Huang

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.

Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang

IEEE Trans. Signal Process., 2018

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning.

Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang

CoRR, 2018

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

Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang

CoRR, 2018

Communication, Computing, and Learning on the Edge.

Kaibin Huang, Guangxu Zhu, Changsheng You, Jun Zhang, Yuqing Du, Dongzhu Liu

Proceedings of the IEEE International Conference on Communication Systems, 2018