Hi, I am an incoming Ph.D. student at UNC-Chapel Hill. I am fortunate to collaborate with researchers of Georgia Tech, UIUC, Microsoft Research, Microsoft Research Asia, and NEC Laboratories America.

📝 Selected Publications

• ACL 2024 Everything of thoughts: Defying the law of penrose triangle for thought generation, Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang [paper] [code]

• NeurIPS 2024 Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs, Rui Yang, Ruomeng Ding, Yong Lin, Huan Zhang, Tong Zhang [paper] [code]

• ESEC/FSE 2023 TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems, Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang [paper]

• KDD 2023 Root cause analysis for microservice systems via hierarchical reinforcement learning from human feedback, Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang [paper]

• VLDB 2023 Imdiffusion: Imputed diffusion models for multivariate time series anomaly detection, Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang [paper] [code]

💻 Internships

• 2024.05 - 2024.08, Microsoft Research, Redmond, WA.
• 2022.11 - 2023.08, Microsoft Research Asia, Beijing, China.

🛠️ Services

• Reviewer, KDD 2025, KDD 2024
• Reviewer, UDM-KDD 2023