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ORCIDLu Liu 0019
Person information
- affiliation: Google Research
- affiliation (PhD): University of Technology Sydney, NSW, Australia
Other persons with the same name
- Lu Liu — disambiguation page
- Lu Liu 0001
![[0000-0003-1013-4507]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-1013-4507")
— University of Leicester, School of Informatics, UK (and 2 more) - Lu Liu 0002 — City University of Hong Kong, Department of Mechanical and Biomedical Engineering, Hong Kong (and 3 more)
- Lu Liu 0003 — Dalian Maritime University, School of Marine Engineering, China
- Lu Liu 0004 — Illinois Institute of Technology, Department of Electrical and Computer Engineering, Chicago, IL, USA
- Lu Liu 0005 — TangoMe Inc, Mountain View, CA, USA (and 3 more)
- Lu Liu 0006 — Nanjing University of Science and Technology, School of Automation, China
- Lu Liu 0007 — Northwestern Polytechnical University, School of Marine Science and Technology, Xi'an, China
- Lu Liu 0008 — Beijing Language and Culture University, Beijing, China
- Lu Liu 0009 — Beijing Jiaotong University, Institute of Information Science, Beijing, China
- Lu Liu 0010 — China Academy of Space Technology, Qian Xuesen Laboratory of Space Technology, Beijing, China (and 1 more)
- Lu Liu 0011 — University of Florida, Department of Chemical Engineering, Gainesville, FL, USA
- Lu Liu 0012 — Washington University, Department of Computer Science and Engineering, St. Louis, MO, USA
- Lu Liu 0013 — Jilin University, College of Computer Science and Technology, Changchun, China (and 1 more)
- Lu Liu 0014 — Rutgers University, School of Communication, Information and Library Studies, New Brunswick, NJ, USA
- Lu Liu 0015 — Harbin Engineering University, College of Automation, Harbin, China
- Lu Liu 0016 — Center for Assessment and Development Research of Real Estate, Shenzhen, China
- Lu Liu 0017 — Peking University, School of EECS, Key Laboratory of Machine Perception, Beijing, China
- Lu Liu 0018 — Peking University, Institute of Computer Science and Technology, State Key Laboratory of Digital Publishing Technology, Beijing, China
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2020 – today
- 2022
[j3]Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys:
NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size. IEEE Trans. Pattern Anal. Mach. Intell. 44(7): 3634-3646 (2022)- [j2]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. IEEE Trans. Knowl. Data Eng. 34(5): 2293-2305 (2022) - [c10]Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang:
FedProto: Federated Prototype Learning across Heterogeneous Clients. AAAI 2022: 8432-8440 - [c9]Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang:
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification. ICLR 2022 - [c8]Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang:
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. NeurIPS 2022 - [i14]Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang:
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach. CoRR abs/2209.10083 (2022) - 2021
- [j1]Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu:
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. Neural Networks 134: 1-10 (2021) - [c7]Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle:
A Universal Representation Transformer Layer for Few-Shot Image Classification. ICLR 2021 - [c6]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang:
Isometric Propagation Network for Generalized Zero-shot Learning. ICLR 2021 - [c5]Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li:
Recognizing Vector Graphics without Rasterization. NeurIPS 2021: 24569-24580 - [i13]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang:
Isometric Propagation Network for Generalized Zero-shot Learning. CoRR abs/2102.02038 (2021) - [i12]Xiaohan Zhang, Lu Liu, Guodong Long, Jing Jiang, Shenquan Liu:
Episodic memory governs choices: An RNN-based reinforcement learning model for decision-making task. CoRR abs/2103.03679 (2021) - [i11]Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang:
FedProto: Federated Prototype Learning over Heterogeneous Devices. CoRR abs/2105.00243 (2021) - [i10]Bo Li, Xinyang Jiang, Donglin Bai, Yuge Zhang, Ningxin Zheng, Xuanyi Dong, Lu Liu, Yuqing Yang, Dongsheng Li:
Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision. CoRR abs/2108.13465 (2021) - [i9]Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li:
Recognizing Vector Graphics without Rasterization. CoRR abs/2111.03281 (2021) - 2020
- [c4]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Attribute Propagation Network for Graph Zero-Shot Learning. AAAI 2020: 4868-4875 - [c3]Wensi Tang, Lu Liu, Guodong Long:
Interpretable Time-series Classification on Few-shot Samples. IJCNN 2020: 1-8 - [i8]Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Jing Jiang, Michael Blumenstein:
Rethinking 1D-CNN for Time Series Classification: A Stronger Baseline. CoRR abs/2002.10061 (2020) - [i7]Wensi Tang, Lu Liu, Guodong Long:
Interpretable Time-series Classification on Few-shot Samples. CoRR abs/2006.02031 (2020) - [i6]Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle:
A Universal Representation Transformer Layer for Few-Shot Image Classification. CoRR abs/2006.11702 (2020) - [i5]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Many-Class Few-Shot Learning on Multi-Granularity Class Hierarchy. CoRR abs/2006.15479 (2020) - [i4]Xuanyi Dong, Lu Liu, Katarzyna Musial, Bogdan Gabrys:
NATS-Bench: Benchmarking NAS algorithms for Architecture Topology and Size. CoRR abs/2009.00437 (2020) - [i3]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Attribute Propagation Network for Graph Zero-shot Learning. CoRR abs/2009.11816 (2020)
2010 – 2019
- 2019
- [c2]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. IJCAI 2019: 3015-3022 - [c1]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Learning to Propagate for Graph Meta-Learning. NeurIPS 2019: 1037-1048 - [i2]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Lina Yao, Chengqi Zhang:
Prototype Propagation Networks (PPN) for Weakly-supervised Few-shot Learning on Category Graph. CoRR abs/1905.04042 (2019) - [i1]Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Chengqi Zhang:
Learning to Propagate for Graph Meta-Learning. CoRR abs/1909.05024 (2019)
Coauthor Index
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