Rong Jin

Researcher, Twitter

Joined

September 2022

Names

Rong Jin (Preferred)

Emails

****@alibaba-inc.com (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

DBLP

Career & Education History

Researcher

Twitter (twitter.com)

2022 – Present

Researcher

Alibaba Group (alibaba-inc.com)

2014 – 2022

Principal Researcher

Alibaba Group (alibaba-inc.com)

2014 – 2021

Associate Professor

Michigan State University (msu.edu)

2008 – 2014

Full Professor

Michigan State University (msu.edu)

2003 – 2014

Assistant Professor

Michigan State University (msu.edu)

2003 – 2008

Advisors, Relations & Conflicts

PhD Advisee

Tianbao Yang

2008 – 2012

PhD Advisor

Alex Hauptmann

1999 – 2003

Expertise

machine learning theory

Present

optimization

2003 – 2021

machine learning

1999 – 2021

Publications

Bridging Past and Future: Distribution-Aware Alignment for Time Series Forecasting
Yifan Hu, Jie Yang, Tian Zhou, Peiyuan Liu, Yujin Tang, Rong Jin, Liang Sun
- ICLR 2026 Poster
- Readers: Everyone
ReasonRec: A Reasoning-Augmented Multimodal Agent for Unified Recommendation
Yihua Zhang, Xi Liu, Xihuan Zeng, Mingfu Liang, Jiyan Yang, Rong Jin, Wen-Yen Chen, Yiping Han, Hao Ma, Bo Long, Huayu Li, Buyun Zhang, Liang Luo, Sijia Liu, Tianlong Chen
- ICML 2025 Workshop PRAL
- Readers: Everyone
MM-RLHF: The Next Step Forward in Multimodal LLM Alignment
YiFan Zhang, Tao Yu, Haochen Tian, Chaoyou Fu, Peiyan Li, Jianshu Zeng, Wulin Xie, Yang Shi, Huanyu Zhang, Junkang Wu, Xue Wang, Yibo Hu, Bin Wen, Tingting Gao, Zhang Zhang, Fan Yang, Di ZHANG, Liang Wang, Rong Jin
- ICML 2025 poster
- Readers: Everyone
$\alpha$-DPO: Adaptive Reward Margin is What Direct Preference Optimization Needs
Junkang Wu, Xue Wang, Zhengyi Yang, Jiancan Wu, Jinyang Gao, Bolin Ding, Xiang Wang, Rong Jin, Xiangnan He
- Submitted to ICLR 2025
- Readers: Everyone
GuideCO: Training Objective-Guided Diffusion Solver with Imperfect Data for Combinatorial Optimization
Hui Yuan, Zhigang Hua, Zihao Li, Weilin Cong, Yan Xie, Rong Jin, Shuang Yang, Bo Long, Mengdi Wang
- ICLR 2025 Conference Withdrawn Submission
- Readers: Everyone
Towards Aligned Data Forgetting via Twin Machine Unlearning
haoxuan ji, Yuyao Sun, Zhenxing Niu, Gang Hua, Rong Jin, Quan Wang
- Submitted to ICLR 2025
- Readers: Everyone
Does Vector Quantization Fail in Spatio-Temporal Forecasting? Exploring a Differentiable Sparse Soft-Vector Quantization Approach
Chao Chen, Tian Zhou, Yanjun Zhao, Hui Liu, Liang Sun, Rong Jin
- Submitted to ICLR 2025
- Readers: Everyone
MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans?
YiFan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
- ICLR 2025 Poster
- Readers: Everyone
Mitigating Time Discretization Challenges with WeatherODE: A Sandwich Physics-Driven Neural ODE for Weather Forecasting
Peiyuan Liu, Tian Zhou, Liang Sun, Rong Jin
- Submitted to ICLR 2025
- Readers: Everyone
EmbSum: Leveraging the Summarization Capabilities of Large Language Models for Content-Based Recommendations
Angli Liu, Chiyuan Zhang, Yifei Sun, Rong Jin, Sem Park, Bo Long
- Arxiv / Recsys 2024
- Readers: Everyone

View all 545 publications

Co-Authors

View all 477 co-authors