Lei Yuan
Orcid: 0009-0007-7595-3104Affiliations:
- Arizona State University, School of Computing / Biodesign Institute, Tempe, AZ, USA
According to our database1,
Lei Yuan
authored at least 48 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation.
Frontiers Comput. Sci., December, 2024
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024
2023
Neural Networks, April, 2023
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning.
CoRR, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.
CoRR, 2021
Proceedings of the International Joint Conference on Neural Networks, 2021
2020
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach.
CoRR, 2020
2019
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.
CoRR, 2019
2014
NeuroImage, 2014
Automated annotation of developmental stages of <i>Drosophila</i> embryos in images containing spatial patterns of expression.
Bioinform., 2014
2013
PhD thesis, 2013
IEEE Trans. Pattern Anal. Mach. Intell., 2013
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.
NeuroImage, 2013
Image-level and group-level models for Drosophila gene expression pattern annotation.
BMC Bioinform., 2013
FeaFiner: biomarker identification from medical data through feature generalization and selection.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Multi-source learning with block-wise missing data for Alzheimer's disease prediction.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.
NeuroImage, 2012
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.
BMC Bioinform., 2012
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data.
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
2011
Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011
2010
Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2010
2009
Drosophila gene expression pattern annotation using sparse features and term-term interactions.
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009