Yao Yao

Orcid: 0000-0001-9887-4301

Affiliations:
  • Tsinghua University, Graduate School at Shenzhen, China


According to our database1, Yao Yao authored at least 14 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
JEN-1 Composer: A Unified Framework for High-Fidelity Multi-Track Music Generation.
CoRR, 2023

TOPIC: A Parallel Association Paradigm for Multi-Object Tracking under Complex Motions and Diverse Scenes.
CoRR, 2023

JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models.
CoRR, 2023

CDR-Adapter: Learning Adapters to Dig Out More Transferring Ability for Cross-Domain Recommendation Models.
Proceedings of the 2023 SIGIR Workshop on eCommerce co-located with the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2023), 2023

2022
CLCDR: Contrastive Learning for Cross-Domain Recommendation to Cold-Start Users.
Proceedings of the Neural Information Processing - 29th International Conference, 2022

iGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
MBDP: A Model-based Approach to Achieve both Robustness and Sample Efficiency via Double Dropout Planning.
CoRR, 2021

IGrow: A Smart Agriculture Solution to Autonomous Greenhouse Control.
CoRR, 2021

Sample Efficient Reinforcement Learning via Model-Ensemble Exploration and Exploitation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

A Simulator-based Planning Framework for Optimizing Autonomous Greenhouse Control Strategy.
Proceedings of the Thirty-First International Conference on Automated Planning and Scheduling, 2021

Robust Model-based Reinforcement Learning for Autonomous Greenhouse Control.
Proceedings of the Asian Conference on Machine Learning, 2021

2019
Residual Frame for Noisy Video Classification According to Perceptual Quality in Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Non-local Self-attention Structure for Function Approximation in Deep Reinforcement Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Classifying Quality Centrality for Source Localization in Social Networks.
Proceedings of the Web Services - ICWS 2018, 2018


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