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Yuqing Du
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2020 – today
- 2025
- [j11]Fuqing Zhao
, Yuqing Du
, Changxue Zhuang, Ling Wang
, Yang Yu
:
An Iterative Greedy Algorithm for Solving a Multiobjective Distributed Assembly Flexible Job Shop Scheduling Problem With Fuzzy Processing Time. IEEE Trans. Cybern. 55(5): 2302-2315 (2025) - [i27]Aly Lidayan, Yuqing Du, Eliza Kosoy, Maria Rufova, Pieter Abbeel, Alison Gopnik:
Intrinsically-Motivated Humans and Agents in Open-World Exploration. CoRR abs/2503.23631 (2025) - 2024
- [j10]Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel:
Semi-Supervised One Shot Imitation Learning. RLJ 5: 2284-2297 (2024) - [c17]Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan:
Learning to Model the World With Language. ICML 2024 - [i26]Alex Havrilla, Yuqing Du, Sharath Chandra Raparthy, Christoforos Nalmpantis, Jane Dwivedi-Yu, Maksym Zhuravinskyi, Eric Hambro, Sainbayar Sukhbaatar, Roberta Raileanu:
Teaching Large Language Models to Reason with Reinforcement Learning. CoRR abs/2403.04642 (2024) - [i25]Yizheng Wang, Xiang Li, Ziming Yan, Yuqing Du, Jinshuai Bai
, Bokai Liu, Timon Rabczuk, Yinghua Liu:
HomoGenius: a Foundation Model of Homogenization for Rapid Prediction of Effective Mechanical Properties using Neural Operators. CoRR abs/2404.07943 (2024) - [i24]Philipp Wu, Kourosh Hakhamaneshi, Yuqing Du, Igor Mordatch, Aravind Rajeswaran, Pieter Abbeel:
Semi-Supervised One-Shot Imitation Learning. CoRR abs/2408.05285 (2024) - [i23]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:
Imagen 3. CoRR abs/2408.07009 (2024) - 2023
- [j9]Xinggang Luo
, Yuqing Du, Qiuyan Chen, Zhongliang Zhang:
Joint optimization of low-carbon product family configuration and smart production line selection. Comput. Ind. Eng. 182: 109403 (2023) - [c16]Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi:
Vision-Language Models as Success Detectors. CoLLAs 2023: 120-136 - [c15]Xiangdong Liang
, Yuqing Du
, Fangning Zhu
:
Schema of an affective cognitive learning system for piano timbre differences: application of the sequential patternmining algorithm. ICAICE 2023: 337-342 - [c14]Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas:
Guiding Pretraining in Reinforcement Learning with Large Language Models. ICML 2023: 8657-8677 - [c13]Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang:
Practical Visual Deep Imitation Learning via Task-Level Domain Consistency. ICRA 2023: 1837-1844 - [c12]Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee:
Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. NeurIPS 2023 - [i22]Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas:
Guiding Pretraining in Reinforcement Learning with Large Language Models. CoRR abs/2302.06692 (2023) - [i21]Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu:
Aligning Text-to-Image Models using Human Feedback. CoRR abs/2302.12192 (2023) - [i20]Yuqing Du, Ksenia Konyushkova, Misha Denil, Akhil Raju, Jessica Landon, Felix Hill, Nando de Freitas, Serkan Cabi:
Vision-Language Models as Success Detectors. CoRR abs/2303.07280 (2023) - [i19]Ying Fan, Olivia Watkins, Yuqing Du, Hao Liu, Moonkyung Ryu, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Kangwook Lee, Kimin Lee:
DPOK: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models. CoRR abs/2305.16381 (2023) - [i18]Jessy Lin, Yuqing Du, Olivia Watkins, Danijar Hafner, Pieter Abbeel, Dan Klein, Anca D. Dragan:
Learning to Model the World with Language. CoRR abs/2308.01399 (2023) - 2022
- [j8]Qunsong Zeng
, Yuqing Du
, Kaibin Huang
:
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer. IEEE Trans. Wirel. Commun. 21(1): 680-695 (2022) - [c11]Yuqing Du, Pieter Abbeel, Aditya Grover:
It Takes Four to Tango: Multiagent Self Play for Automatic Curriculum Generation. ICLR 2022 - [c10]Yuqing Du, Daniel Ho, Alex Alemi, Eric Jang, Mohi Khansari:
Bayesian Imitation Learning for End-to-End Mobile Manipulation. ICML 2022: 5531-5546 - [i17]Mohi Khansari, Daniel Ho, Yuqing Du, Armando Fuentes, Matthew Bennice, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Eric Jang:
Practical Imitation Learning in the Real World via Task Consistency Loss. CoRR abs/2202.01862 (2022) - [i16]Yuqing Du, Daniel Ho, Alexander A. Alemi, Eric Jang, Mohi Khansari:
Bayesian Imitation Learning for End-to-End Mobile Manipulation. CoRR abs/2202.07600 (2022) - [i15]Yuqing Du, Pieter Abbeel, Aditya Grover:
It Takes Four to Tango: Multiagent Selfplay for Automatic Curriculum Generation. CoRR abs/2202.10608 (2022) - 2021
- [j7]Qiao Lan
, Yuqing Du
, Petar Popovski
, Kaibin Huang
:
Capacity of Remote Classification Over Wireless Channels. IEEE Trans. Commun. 69(7): 4489-4503 (2021) - [j6]Guangxu Zhu
, Yuqing Du
, Deniz Gündüz
, Kaibin Huang
:
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis. IEEE Trans. Wirel. Commun. 20(3): 2120-2135 (2021) - [j5]Qunsong Zeng
, Yuqing Du
, Kaibin Huang
, Kin K. Leung
:
Energy-Efficient Resource Management for Federated Edge Learning With CPU-GPU Heterogeneous Computing. IEEE Trans. Wirel. Commun. 20(12): 7947-7962 (2021) - [c9]Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. ICRA 2021: 1290-1296 - [c8]Qunsong Zeng, Yuqing Du, Kaibin Huang:
Wirelessly Powered Federated Edge Learning. SPAWC 2021: 286-290 - [i14]Qunsong Zeng, Yuqing Du, Kaibin Huang:
Wirelessly Powered Federated Edge Learning: Optimal Tradeoffs Between Convergence and Power Transfer. CoRR abs/2102.12357 (2021) - [i13]Yuqing Du, Nicholas J. Hetherington, Chu Lip Oon, Wesley P. Chan, Camilo Perez Quintero, Elizabeth A. Croft, H. F. Machiel Van der Loos:
Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation. CoRR abs/2104.05933 (2021) - [i12]Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. CoRR abs/2104.07662 (2021) - 2020
- [j4]Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang:
Toward an Intelligent Edge: Wireless Communication Meets Machine Learning. IEEE Commun. Mag. 58(1): 19-25 (2020) - [j3]Yuqing Du
, Sheng Yang
, Kaibin Huang
:
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning. IEEE Trans. Signal Process. 68: 2128-2142 (2020) - [c7]Guangxu Zhu, Yuqing Du, Deniz Gündüz, Kaibin Huang:
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning. GLOBECOM 2020: 1-6 - [c6]Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung:
Energy-Efficient Radio Resource Allocation for Federated Edge Learning. ICC Workshops 2020: 1-6 - [c5]Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan:
AvE: Assistance via Empowerment. NeurIPS 2020 - [i11]Guangxu Zhu, Yuqing Du, Deniz Gündüz, Kaibin Huang:
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis. CoRR abs/2001.05713 (2020) - [i10]Yuqing Du, Stas Tiomkin, Emre Kiciman, Daniel Polani, Pieter Abbeel, Anca D. Dragan:
AvE: Assistance via Empowerment. CoRR abs/2006.14796 (2020) - [i9]Qunsong Zeng, Yuqing Du, Kaibin Huang, Kin K. Leung:
Energy-Efficient Resource Management for Federated Edge Learning with CPU-GPU Heterogeneous Computing. CoRR abs/2007.07122 (2020) - [i8]Qiao Lan, Yuqing Du, Petar Popovski, Kaibin Huang:
Capacity of Remote Classification Over Wireless Channels. CoRR abs/2007.15480 (2020) - [i7]Eugene Vinitsky, Yuqing Du, Kanaad Parvate, Kathy Jang, Pieter Abbeel, Alexandre M. Bayen:
Robust Reinforcement Learning using Adversarial Populations. CoRR abs/2008.01825 (2020)
2010 – 2019
- 2019
- [j2]Yuqing Du
, Kaibin Huang
:
Fast Analog Transmission for High-Mobility Wireless Data Acquisition in Edge Learning. IEEE Wirel. Commun. Lett. 8(2): 468-471 (2019) - [c4]Yuqing Du, Sheng Yang, Kaibin Huang:
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning. GlobalSIP 2019: 1-5 - [c3]Yuqing Du, Nicholas J. Hetherington
, Chu Lip Oon, Wesley P. Chan
, Camilo Perez Quintero, Elizabeth A. Croft
, H. F. Machiel Van der Loos:
Group Surfing: A Pedestrian-Based Approach to Sidewalk Robot Navigation. ICRA 2019: 6518-6524 - [i6]Qunsong Zeng, Yuqing Du, Kin K. Leung, Kaibin Huang:
Energy-Efficient Radio Resource Allocation for Federated Edge Learning. CoRR abs/1907.06040 (2019) - [i5]Yuqing Du, Sheng Yang, Kaibin Huang:
High-Dimensional Stochastic Gradient Quantization for Communication-Efficient Edge Learning. CoRR abs/1910.03865 (2019) - [i4]Qiao Lan, Zezhong Zhang, Yuqing Du, Zhenyi Lin, Kaibin Huang:
An Introduction to Communication Efficient Edge Machine Learning. CoRR abs/1912.01554 (2019) - 2018
- [j1]Yuqing Du
, Guangxu Zhu
, Jiayao Zhang
, Kaibin Huang
:
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. IEEE Trans. Signal Process. 66(22): 6031-6046 (2018) - [c2]Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang:
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold. GLOBECOM 2018: 1-6 - [c1]Kaibin Huang, Guangxu Zhu, Changsheng You, Jun Zhang
, Yuqing Du, Dongzhu Liu:
Communication, Computing, and Learning on the Edge. ICCS 2018: 268-273 - [i3]Yuqing Du, Guangxu Zhu, Jiayao Zhang, Kaibin Huang:
Automatic Recognition of Space-Time Constellations by Learning on the Grassmann Manifold (Extended Version). CoRR abs/1804.03593 (2018) - [i2]Yuqing Du, Kaibin Huang:
Fast Analog Transmission for High-Mobility Wireless Data Acquisition in Edge Learning. CoRR abs/1807.11250 (2018) - [i1]Guangxu Zhu, Dongzhu Liu, Yuqing Du, Changsheng You, Jun Zhang, Kaibin Huang:
Towards an Intelligent Edge: Wireless Communication Meets Machine Learning. CoRR abs/1809.00343 (2018)
Coauthor Index

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