Ximei Wang

Joined

July 2019

Names

Ximei Wang (Preferred)

Emails

****@mails.tsinghua.edu.cn (Confirmed)

****@tencent.com (Confirmed)

****@163.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

Researcher

Big Data, Tencent (tencent.com)

2022 – 2025

PhD student

School of Software, Tsinghua University, Tsinghua University (tsinghua.edu.cn)

2017 – 2022

Undergrad student

Department of Automation, Tsinghua University, Tsinghua University (tsinghua.edu.cn)

2013 – 2017

Advisors, Relations & Conflicts

Coauthor

Xinyang Chen

2021 – Present

Coauthor

Kaichao You

2019 – Present

Coauthor

Michael Jordan

2019 – Present

Coworker

Yuchen Zhang

2018 – Present

PhD Advisor

Jianmin Wang

2017 – Present

PhD Advisor

Mingsheng Long

2017 – Present

Expertise

domain adaptation

Present

multi-task learning

Present

transfer learning

2017 – Present

deep learning

2017 – Present

machine learning

2017 – Present

Publications

From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models
Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen
- ICML 2025 poster
- Readers: Everyone
Long-Sequence Recommendation Models Need Decoupled Embeddings
Ningya Feng, Junwei Pan, Jialong Wu, Baixu Chen, Ximei Wang, QianLi, Xian Hu, Jie Jiang, Mingsheng Long
- ICLR 2025 Poster
- Readers: Everyone
On the Embedding Collapse when Scaling up Recommendation Models
Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
- ICML 2024 Poster
- Readers: Everyone
On the Embedding Collapse When Scaling up Recommendation Models
Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long
- Submitted to ICLR 2024
- Readers: Everyone
AdaTask: A Task-aware Adaptive Learning Rate Approach to Multi-task Learning
Haibin Yu, Enneng Yang, Junwei Pan, Ximei Wang
- 09 May 2023
- OpenReview Archive Direct Upload
- Readers: Everyone
ForkMerge: Mitigating Negative Transfer in Auxiliary-Task Learning
Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, jie jiang, Mingsheng Long
- NeurIPS 2023 poster
- Readers: Everyone
CLIPood: Generalizing CLIP to Out-of-Distributions
Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
- ICML 2023 Poster
- Readers: Everyone
CLIPood: Generalizing CLIP to Out-of-Distributions
Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long
- 2023 (modified: 16 Apr 2023)
- CoRR 2023
- Readers: Everyone
ForkMerge: Overcoming Negative Transfer in Multi-Task Learning
Junguang Jiang, Baixu Chen, Junwei Pan, Ximei Wang, Dapeng Liu, Jie Jiang, Mingsheng Long
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- CoRR 2023
- Readers: Everyone
Debiased Self-Training for Semi-Supervised Learning
Baixu Chen, Junguang Jiang, Ximei Wang, Pengfei Wan, Jianmin Wang, Mingsheng Long
- Published: 31 Oct 2022, Last Modified: 11 Jan 2023
- NeurIPS 2022 Accept
- Readers: Everyone

View all 28 publications

Co-Authors

View all 33 co-authors