Ruofan Wu

Researcher, Coupang

Joined

September 2020

Names

Ruofan Wu (Preferred)

Emails

****@antgroup.com (Confirmed)

****@gmail.com (Confirmed)

****@coupang.com (Confirmed)

Personal Links

Homepage

Career & Education History

Researcher

Coupang (coupang.com)

2024 – Present

Researcher

Ant Group (antgroup.com)

2019 – 2024

Researcher

International Business Machines (ibm.com)

2017 – 2019

PhD student

Fudan University (fudan.edu.cn)

2012 – 2017

Advisors, Relations & Conflicts

PhD Advisor

Ming Zheng

2012 – 2017

Expertise

Learning theory

Present

Graph Representation Learning

Present

Privacy

Present

Publications

Transformers as Unsupervised Learning Algorithms: A study on Gaussian Mixtures
Zhiheng Chen, Ruofan Wu, Guanhua Fang
- ICLR 2026 Poster
- Readers: Everyone
Toward a unified framework for data-efficient evaluation of large language models
Lele Liao, Qile Zhang, Ruofan Wu, Guanhua Fang
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Revisiting and Benchmarking Graph Autoencoders: A Contrastive Learning Perspective
Jintang Li, Ruofan Wu, Yuchang Zhu, Huizhe Zhang, Xinzhou Jin, Guibin Zhang, Zulun Zhu, Zibin Zheng, Liang Chen
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Resource-Aware Federated Self-Supervised Learning with Global Class Representations
Mingyi Li, Xiao Zhang, Qi Wang, Tengfei LIU, Ruofan Wu, Weiqiang Wang, Fuzhen Zhuang, Hui Xiong, Dongxiao Yu
- NeurIPS 2024 poster
- Readers: Everyone
State Space Models on Temporal Graphs: A First-Principles Study
Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng
- NeurIPS 2024 poster
- Readers: Everyone
On provable privacy vulnerabilities of graph representations
Ruofan Wu, Guanhua Fang, Mingyang Zhang, Qiying Pan, Tengfei LIU, Weiqiang Wang
- NeurIPS 2024 poster
- Readers: Everyone
FedGKD: Unleashing the Power of Collaboration in Federated Graph Neural Networks
Qiying Pan, Ruofan Wu, Tengfei LIU, Tianyi Zhang, Yifei Zhu, Weiqiang Wang
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks
Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen
- ICLR 2024 poster
- Readers: Everyone
Privacy-preserving design of graph neural networks with applications to vertical federated learning
Ruofan Wu, Mingyang Zhang, Lingjuan Lyu, Xiaolong Xu, Xiuquan Hao, xinyi fu, Tengfei LIU, Tianyi Zhang, Weiqiang Wang
- NeurIPS 2023 GLFrontiers Workshop Poster
- Readers: Everyone
Neural Frailty Machine: Beyond proportional hazard assumption in neural survival regressions
Ruofan Wu, Jiawei Qiao, Mingzhe Wu, Wen Yu, Ming Zheng, Tengfei LIU, Tianyi Zhang, Weiqiang Wang
- NeurIPS 2023 poster
- Readers: Everyone

View all 24 publications

Co-Authors

View all 65 co-authors