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ORCIDLei Yuan 0001
Person information
- affiliation: Arizona State University, School of Computing / Biodesign Institute, Tempe, AZ, USA
Other persons with the same name
- Lei Yuan — disambiguation page
- Lei Yuan 0002
![[0000-0002-2293-0626]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-2293-0626")
— Lanzhou University, School of Information Science and Engineering, China (and 1 more) - Lei Yuan 0003 — Clemson University, Department of Electrical and Computer Engineering, SC, USA
- Lei Yuan 0004 — Xi'an University of Technology, Electronics Department, China (and 1 more)
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Books and Theses
- 2013
[b1]Lei Yuan:
Structured Sparse Learning and Its Applications to Biomedical and Biological Data. Arizona State University, Tempe, USA, 2013
Journal Articles
- 2024
- [j9]Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu:
Communication-robust multi-agent learning by adaptable auxiliary multi-agent adversary generation. Frontiers Comput. Sci. 18(6) (2024) - 2023
- [j8]Hua Yang, Minghao Zhao, Lei Yuan, Yang Yu, Zhenhua Li, Ming Gu:
Memory-efficient Transformer-based network model for Traveling Salesman Problem. Neural Networks 161: 589-597 (2023) - 2014
- [j7]Lei Yuan, Cheng Pan, Shuiwang Ji, Michael McCutchan, Zhi-Hua Zhou, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye:
Automated annotation of developmental stages of Drosophila embryos in images containing spatial patterns of expression. Bioinform. 30(2): 266-273 (2014) - [j6]Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye:
Bi-level multi-source learning for heterogeneous block-wise missing data. NeuroImage 102: 192-206 (2014) - 2013
- [j5]Qian Sun, Sherin Muckatira, Lei Yuan, Shuiwang Ji, Stuart J. Newfeld, Sudhir Kumar, Jieping Ye:
Image-level and group-level models for Drosophila gene expression pattern annotation. BMC Bioinform. 14: 350 (2013) - [j4]Yalin Wang, Lei Yuan, Jie Shi, Alexander Greve, Jieping Ye, Arthur W. Toga, Allan L. Reiss, Paul M. Thompson:
Applying tensor-based morphometry to parametric surfaces can improve MRI-based disease diagnosis. NeuroImage 74: 209-230 (2013) - [j3]Lei Yuan, Jun Liu, Jieping Ye:
Efficient Methods for Overlapping Group Lasso. IEEE Trans. Pattern Anal. Mach. Intell. 35(9): 2104-2116 (2013) - 2012
- [j2]Lei Yuan, Alexander Woodard, Shuiwang Ji, Yuan Jiang, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye:
Learning Sparse Representations for Fruit-Fly Gene Expression Pattern Image Annotation and Retrieval. BMC Bioinform. 13: 107 (2012) - [j1]Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye:
Multi-source feature learning for joint analysis of incomplete multiple heterogeneous neuroimaging data. NeuroImage 61(3): 622-632 (2012)
Conference and Workshop Papers
- 2024
- [c28]Cong Guan, Ruiqi Xue, Ziqian Zhang, Lihe Li, Yi-Chen Li, Lei Yuan, Yang Yu:
Cost-aware Offline Safe Meta Reinforcement Learning with Robust In-Distribution Online Task Adaptation. AAMAS 2024: 743-751 - [c27]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. AAMAS 2024: 944-953 - [c26]Chengxing Jia, Chenxiao Gao, Hao Yin, Fuxiang Zhang, Xiong-Hui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Zhi-Hua Zhou, Yang Yu:
Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning. ICLR 2024 - [c25]Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu:
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. ICML 2024 - [c24]Lihe Li, Ruotong Chen, Ziqian Zhang, Zhichao Wu, Yi-Chen Li, Cong Guan, Yang Yu, Lei Yuan:
Continual Multi-Objective Reinforcement Learning via Reward Model Rehearsal. IJCAI 2024: 4434-4442 - [c23]Ruiqi Xue, Ziqian Zhang, Lihe Li, Feng Chen, Yi-Chen Li, Yang Yu, Lei Yuan:
Dynamics Adaptive Safe Reinforcement Learning with a Misspecified Simulator. ECML/PKDD (7) 2024: 74-91 - 2023
- [c22]Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu:
Robust Multi-Agent Coordination via Evolutionary Generation of Auxiliary Adversarial Attackers. AAAI 2023: 11753-11762 - [c21]Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan:
Self-Motivated Multi-Agent Exploration. AAMAS 2023: 476-484 - [c20]Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou:
Learning to Coordinate with Anyone. DAI 2023: 4:1-4:9 - [c19]Fuxiang Zhang, Chengxing Jia, Yi-Chen Li, Lei Yuan, Yang Yu, Zongzhang Zhang:
Discovering Generalizable Multi-agent Coordination Skills from Multi-task Offline Data. ICLR 2023 - [c18]Jiacheng Xu, Chao Chen, Fuxiang Zhang, Lei Yuan, Zongzhang Zhang, Yang Yu:
Internal Logical Induction for Pixel-Symbolic Reinforcement Learning. KDD 2023: 2825-2837 - [c17]Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu:
Fast Teammate Adaptation in the Presence of Sudden Policy Change. UAI 2023: 2465-2476 - 2022
- [c16]Lei Yuan, Jianhao Wang, Fuxiang Zhang, Chenghe Wang, Zongzhang Zhang, Yang Yu, Chongjie Zhang:
Multi-Agent Incentive Communication via Decentralized Teammate Modeling. AAAI 2022: 9466-9474 - [c15]Di Xue, Lei Yuan, Zongzhang Zhang, Yang Yu:
Efficient Multi-Agent Communication via Shapley Message Value. IJCAI 2022: 578-584 - [c14]Lei Yuan, Chenghe Wang, Jianhao Wang, Fuxiang Zhang, Feng Chen, Cong Guan, Zongzhang Zhang, Chongjie Zhang, Yang Yu:
Multi-Agent Concentrative Coordination with Decentralized Task Representation. IJCAI 2022: 599-605 - [c13]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. KDD 2022: 3288-3298 - [c12]Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu:
Multi-agent Dynamic Algorithm Configuration. NeurIPS 2022 - [c11]Cong Guan, Feng Chen, Lei Yuan, Chenghe Wang, Hao Yin, Zongzhang Zhang, Yang Yu:
Efficient Multi-agent Communication via Self-supervised Information Aggregation. NeurIPS 2022 - 2021
- [c10]Weijie Shen, Lei Yuan, Junfu Huang, Songyi Gao, Yuyang Huang, Yang Yu:
Sequential and Dynamic constraint Contrastive Learning for Reinforcement Learning. IJCNN 2021: 1-9 - 2013
- [c9]Ji Liu, Lei Yuan, Jieping Ye:
Guaranteed Sparse Recovery under Linear Transformation. ICML (3) 2013: 91-99 - [c8]Shuo Xiang, Lei Yuan, Wei Fan, Yalin Wang, Paul M. Thompson, Jieping Ye:
Multi-source learning with block-wise missing data for Alzheimer's disease prediction. KDD 2013: 185-193 - [c7]Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye:
FeaFiner: biomarker identification from medical data through feature generalization and selection. KDD 2013: 1034-1042 - 2012
- [c6]Sen Yang, Lei Yuan, Ying-Cheng Lai, Xiaotong Shen, Peter Wonka, Jieping Ye:
Feature grouping and selection over an undirected graph. KDD 2012: 922-930 - [c5]Lei Yuan, Yalin Wang, Paul M. Thompson, Vaibhav A. Narayan, Jieping Ye:
Multi-source learning for joint analysis of incomplete multi-modality neuroimaging data. KDD 2012: 1149-1157 - 2011
- [c4]Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye:
A multi-task learning formulation for predicting disease progression. KDD 2011: 814-822 - [c3]Lei Yuan, Jun Liu, Jieping Ye:
Efficient Methods for Overlapping Group Lasso. NIPS 2011: 352-360 - 2010
- [c2]Jun Liu, Lei Yuan, Jieping Ye:
An efficient algorithm for a class of fused lasso problems. KDD 2010: 323-332 - 2009
- [c1]Shuiwang Ji, Lei Yuan, Ying-Xin Li, Zhi-Hua Zhou, Sudhir Kumar, Jieping Ye:
Drosophila gene expression pattern annotation using sparse features and term-term interactions. KDD 2009: 407-416
Informal and Other Publications
- 2024
- [i22]Xinyu Zhang, Wenjie Qiu, Yi-Chen Li, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu:
Debiased Offline Representation Learning for Fast Online Adaptation in Non-stationary Dynamics. CoRR abs/2402.11317 (2024) - [i21]Chengxing Jia, Fuxiang Zhang, Yi-Chen Li, Chenxiao Gao, Xu-Hui Liu, Lei Yuan, Zongzhang Zhang, Yang Yu:
Disentangling Policy from Offline Task Representation Learning via Adversarial Data Augmentation. CoRR abs/2403.07261 (2024) - [i20]Yi-Chen Li, Fuxiang Zhang, Wenjie Qiu, Lei Yuan, Chengxing Jia, Zongzhang Zhang, Yang Yu:
Q-Adapter: Training Your LLM Adapter as a Residual Q-Function. CoRR abs/2407.03856 (2024) - 2023
- [i19]Shaowei Zhang, Jiahan Cao, Lei Yuan, Yang Yu, De-Chuan Zhan:
Self-Motivated Multi-Agent Exploration. CoRR abs/2301.02083 (2023) - [i18]Cong Guan, Feng Chen, Lei Yuan, Zongzhang Zhang, Yang Yu:
Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning. CoRR abs/2302.09605 (2023) - [i17]Lei Yuan, Feng Chen, Zongzhang Zhang, Yang Yu:
Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation. CoRR abs/2305.05116 (2023) - [i16]Lei Yuan, Ziqian Zhang, Ke Xue, Hao Yin, Feng Chen, Cong Guan, Lihe Li, Chao Qian, Yang Yu:
Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers. CoRR abs/2305.05909 (2023) - [i15]Ziqian Zhang, Lei Yuan, Lihe Li, Ke Xue, Chengxing Jia, Cong Guan, Chao Qian, Yang Yu:
Fast Teammate Adaptation in the Presence of Sudden Policy Change. CoRR abs/2305.05911 (2023) - [i14]Lei Yuan, Tao Jiang, Lihe Li, Feng Chen, Zongzhang Zhang, Yang Yu:
Robust Multi-agent Communication via Multi-view Message Certification. CoRR abs/2305.13936 (2023) - [i13]Lei Yuan, Lihe Li, Ziqian Zhang, Fuxiang Zhang, Cong Guan, Yang Yu:
Multi-agent Continual Coordination via Progressive Task Contextualization. CoRR abs/2305.13937 (2023) - [i12]Lei Yuan, Lihe Li, Ziqian Zhang, Feng Chen, Tianyi Zhang, Cong Guan, Yang Yu, Zhi-Hua Zhou:
Learning to Coordinate with Anyone. CoRR abs/2309.12633 (2023) - [i11]Cong Guan, Lichao Zhang, Chunpeng Fan, Yichen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, Yang Yu:
Efficient Human-AI Coordination via Preparatory Language-based Convention. CoRR abs/2311.00416 (2023) - [i10]Lei Yuan, Ziqian Zhang, Lihe Li, Cong Guan, Yang Yu:
A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment. CoRR abs/2312.01058 (2023) - 2022
- [i9]Rongjun Qin, Feng Chen, Tonghan Wang, Lei Yuan, Xiaoran Wu, Zongzhang Zhang, Chongjie Zhang, Yang Yu:
Multi-Agent Policy Transfer via Task Relationship Modeling. CoRR abs/2203.04482 (2022) - [i8]Ke Xue, Yutong Wang, Lei Yuan, Cong Guan, Chao Qian, Yang Yu:
Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution. CoRR abs/2208.04957 (2022) - [i7]Ke Xue, Jiacheng Xu, Lei Yuan, Miqing Li, Chao Qian, Zongzhang Zhang, Yang Yu:
Multi-agent Dynamic Algorithm Configuration. CoRR abs/2210.06835 (2022) - 2021
- [i6]Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu:
PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic. CoRR abs/2108.09076 (2021) - [i5]Jiahan Cao, Lei Yuan, Jianhao Wang, Shaowei Zhang, Chongjie Zhang, Yang Yu, De-Chuan Zhan:
LINDA: Multi-Agent Local Information Decomposition for Awareness of Teammates. CoRR abs/2109.12508 (2021) - [i4]Xiangru Lian, Binhang Yuan, Xuefeng Zhu, Yulong Wang, Yongjun He, Honghuan Wu, Lei Sun, Haodong Lyu, Chengjun Liu, Xing Dong, Yiqiao Liao, Mingnan Luo, Congfei Zhang, Jingru Xie, Haonan Li, Lei Chen, Renjie Huang, Jianying Lin, Chengchun Shu, Xuezhong Qiu, Zhishan Liu, Dongying Kong, Lei Yuan, Hai Yu, Sen Yang, Ce Zhang, Ji Liu:
Persia: An Open, Hybrid System Scaling Deep Learning-based Recommenders up to 100 Trillion Parameters. CoRR abs/2111.05897 (2021) - 2020
- [i3]Runze Su, Fei Tao, Xudong Liu, Haoran Wei, Xiaorong Mei, Zhiyao Duan, Lei Yuan, Ji Liu, Yuying Xie:
Themes Inferred Audio-visual Correspondence Learning. CoRR abs/2009.06573 (2020) - [i2]Yunjie Zhang, Fei Tao, Xudong Liu, Runze Su, Xiaorong Mei, Weicong Ding, Zhichen Zhao, Lei Yuan, Ji Liu:
Short Video-based Advertisements Evaluation System: Self-Organizing Learning Approach. CoRR abs/2010.12662 (2020) - 2019
- [i1]Hanlin Tang, Xiangru Lian, Shuang Qiu, Lei Yuan, Ce Zhang, Tong Zhang, Ji Liu:
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression. CoRR abs/1907.07346 (2019)
Coauthor Index
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