Lei Yuan

Orcid: 0009-0007-7595-3104

Affiliations:

Arizona State University, School of Computing / Biodesign Institute, Tempe, AZ, USA

According to our database¹, Lei Yuan authored at least 52 papers between 2009 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

Open and real-world human-AI coordination by heterogeneous training with communication.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., April, 2025

2024

Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., December, 2024

Stable Continual Reinforcement Learning via Diffusion-based Trajectory Replay.

[BibT_eX]

[DOI]

CoRR, 2024

Q-Adapter: Training Your LLM Adapter as a Residual Q-Function.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Memory-efficient Transformer-based network model for Traveling Salesman Problem.

[BibT_eX]

[DOI]

Neural Networks, April, 2023

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Human-AI Coordination via Preparatory Language-based Convention.

[BibT_eX]

[DOI]

CoRR, 2023

Multi-agent Continual Coordination via Progressive Task Contextualization.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Multi-agent Communication via Multi-view Message Certification.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Fast Teammate Adaptation in the Presence of Sudden Policy Change.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Internal Logical Induction for Pixel-Symbolic Reinforcement Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Learning to Coordinate with Anyone.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

Self-Motivated Multi-Agent Exploration.

[BibT_eX]

[DOI]

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution.

[BibT_eX]

[DOI]

CoRR, 2022

Multi-Agent Policy Transfer via Task Relationship Modeling.

[BibT_eX]

[DOI]

CoRR, 2022

Efficient Multi-agent Communication via Self-supervised Information Aggregation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-agent Dynamic Algorithm Configuration.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Multi-Agent Concentrative Coordination with Decentralized Task Representation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Efficient Multi-Agent Communication via Shapley Message Value.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Agent Incentive Communication via Decentralized Teammate Modeling.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates.

[BibT_eX]

[DOI]

CoRR, 2021

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.

[BibT_eX]

[DOI]

CoRR, 2021

Sequential and Dynamic constraint Contrastive Learning for Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach.

[BibT_eX]

[DOI]

CoRR, 2020

Themes Inferred Audio-visual Correspondence Learning.

[BibT_eX]

[DOI]

CoRR, 2020

2019

DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.

[BibT_eX]

[DOI]

CoRR, 2019

2014

Bi-level multi-source learning for heterogeneous block-wise missing data.

[BibT_eX]

[DOI]

NeuroImage, 2014

Automated annotation of developmental stages of <i>Drosophila</i> embryos in images containing spatial patterns of expression.

[BibT_eX]

[DOI]

Bioinform., 2014

2013

Structured Sparse Learning and Its Applications to Biomedical and Biological Data.

[BibT_eX]

[DOI]

Lei Yuan

PhD thesis, 2013

Efficient Methods for Overlapping Group Lasso.

[BibT_eX]

[DOI]

Lei Yuan

Jun Liu

Jieping Ye

IEEE Trans. Pattern Anal. Mach. Intell., 2013

Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis.

[BibT_eX]

[DOI]

NeuroImage, 2013

Image-level and group-level models for Drosophila gene expression pattern annotation.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

FeaFiner: biomarker identification from medical data through feature generalization and selection.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013

Guaranteed Sparse Recovery under Linear Transformation.

[BibT_eX]

[DOI]

Ji Liu

Lei Yuan

Jieping Ye

Proceedings of the 30th International Conference on Machine Learning, 2013

2012

Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data.

[BibT_eX]

[DOI]

NeuroImage, 2012

Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval.

[BibT_eX]

[DOI]

BMC Bioinform., 2012

Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

Feature grouping and selection over an undirected graph.

[BibT_eX]

[DOI]

Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012

2011

A multi-task learning formulation for predicting disease progression.

[BibT_eX]

[DOI]

Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2011

2010

An efficient algorithm for a class of fused lasso problems.

[BibT_eX]

[DOI]

Jun Liu

Lei Yuan

Jieping Ye

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.

[BibT_eX]

[DOI]

Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009

Lei Yuan

Timeline

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