Lu Liu

Joined

December 2017

Names

Lu Liu (Preferred)

,

Lu LIU

Emails

****@student.uts.edu.au (Confirmed)

,

****@icloud.com (Confirmed)

,

****@google.com (Confirmed)

Personal Links

Career & Education History

Researcher

Google (google.com)

2021 – 2023

PhD student

University of Technology Sydney (uts.edu.au)

2017 – 2021

PhD student

UTS (fb.com)

2016 – 2020

Advisors, Relations & Conflicts

friend

2018 – Present

PhD Advisor

2017 – 2021

PhD Advisor

2017 – 2021

Expertise

Computer vision

2017 – 2023

Meta Learning

2017 – 2019

Few-shot Learning

2017 – 2019

Publications

Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
- 26 May 2022 (modified: 05 May 2023)
- ICML 2022 Pre-training Workshop
- Readers: Everyone
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang
- Published: 31 Oct 2022, Last Modified: 10 Oct 2022
- NeurIPS 2022 Accept
- Readers: Everyone
Omni-Scale CNNs: a simple and effective kernel size configuration for time series classification
Wensi Tang, Guodong Long, Lu Liu, Tianyi Zhou, Michael Blumenstein, Jing Jiang
- Published: 28 Jan 2022, Last Modified: 13 Feb 2023
- ICLR 2022 Poster
- Readers: Everyone
FedProto: Federated Prototype Learning over Heterogeneous Devices
Yue Tan, Guodong Long, Lu Liu, Tianyi Zhou, Qinghua Lu, Jing Jiang, Chengqi Zhang
- 08 Sept 2021
- OpenReview Archive Direct Upload
- Readers: Everyone
Recognizing Vector Graphics without Rasterization
XINYANG JIANG, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li
- Published: 09 Nov 2021, Last Modified: 26 May 2025
- NeurIPS 2021 Poster
- Readers: Everyone
A Universal Representation Transformer Layer for Few-Shot Image Classification
Lu Liu, William L. Hamilton, Guodong Long, Jing Jiang, Hugo Larochelle
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Poster
- Readers: Everyone
MASP: Model-Agnostic Sample Propagation for Few-shot learning
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
- 28 Sept 2020 (modified: 05 May 2023)
- ICLR 2021 Conference Withdrawn Submission
- Readers: Everyone
Isometric Propagation Network for Generalized Zero-shot Learning
Lu Liu, Tianyi Zhou, Guodong Long, Jing Jiang, Xuanyi Dong, Chengqi Zhang
- Published: 12 Jan 2021, Last Modified: 05 May 2023
- ICLR 2021 Poster
- Readers: Everyone
Free Lunch for Few-shot Learning: Distribution Calibration
Shuo Yang, Lu Liu, Min Xu
- Published: 12 Jan 2021, Last Modified: 12 Oct 2025
- ICLR 2021 Oral
- Readers: Everyone

Co-Authors