Guanbo Wang

PhD student, Tsinghua University

Joined

May 2022

Names

Guanbo Wang (Preferred)

Emails

****@tongji.edu.cn (Confirmed)

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

Personal Links

DBLP

ORCID

Career & Education History

PhD student

Tsinghua University (cs.tsinghua.edu.cn)

2023 – 2028

Advisors, Relations & Conflicts

No relations added

Expertise

No areas of expertise listed

Publications

EAPO: Expert-guided Adaptive Preference Optimization for Recommendation
Guanbo Wang, Yongheng Deng, Di Wu, Ao Xie, Sheng Yue, Ziqing Qiao, Yaoxue Zhang, Ju Ren
- Submitted to ICLR 2026
- Readers: Everyone
On-policy Reinforcement Fine-tuning with Offline reward for Multi-step Embodied Planning
Di Wu, Jiaxin Fan, Junzhe Zang, Guanbo Wang, Wei Yin, Wenhao Li, Bo Jin
- ICLR 2026 Conference Withdrawn Submission
- Readers: Everyone
Reinforced Reasoning for Interactive Multi-step Embodied Planning
Di Wu, Jiaxin Fan, Junzhe Zang, Guanbo Wang, Wei Yin, Wenhao Li, Bo Jin
- MTI-LLM @ NeurIPS 2025 Poster
- Readers: Everyone
Gains: Fine-grained Federated Domain Adaptation in Open Set
Zhengyi Zhong, Wenzheng Jiang, Weidong Bao, Ji Wang, Cheems Wang, Guanbo Wang, Yongheng Deng, Ju Ren
- NeurIPS 2025 poster
- Readers: Everyone
RelayRec: Empowering Privacy-Preserving CTR Prediction via Cloud-Device Relay Learning
Yongheng Deng, Guanbo Wang, Sheng Yue, Wei Rao, Qin Zu, Wenjie Wang, Shuai Chen, Ju Ren, Yaoxue Zhang
- IPSN 2024
- Readers: Everyone
FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data
Yongheng Deng, Sheng Yue, Tuowei Wang, Guanbo Wang, Ju Ren, Yaoxue Zhang
- SenSys 2023
- Readers: Everyone
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang
- ICLR 2023
- Readers: Everyone
CLARE: Conservative Model-Based Reward Learning for Offline Inverse Reinforcement Learning
Sheng Yue, Guanbo Wang, Wei Shao, Zhaofeng Zhang, Sen Lin, Ju Ren, Junshan Zhang
- Published: 01 Feb 2023, Last Modified: 14 Jan 2026
- ICLR 2023 poster
- Readers: Everyone

Co-Authors

View all 26 co-authors