Ruomeng Ding

According to our database, Ruomeng Ding authored at least 11 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Whom to Query for What: Adaptive Group Elicitation via Multi-Turn LLM Interactions.

Ruomeng Ding, Tianwei Gao, Thomas P. Zollo, Eitan Bachmat, Richard S. Zemel, Zhun Deng

CoRR, February, 2026

Rubrics as an Attack Surface: Stealthy Preference Drift in LLM Judges.

Ruomeng Ding, Yifei Pang, He Sun, Yizhong Wang, Zhiwei Steven Wu, Zhun Deng

CoRR, February, 2026

SkillGen: Learning Domain Skills for In-Context Sequential Decision Making.

Ruomeng Ding, Wei Cheng, Minglai Shao, Chen Zhao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs.

Ruomeng Ding, Xujiang Zhao, Chen Zhao, Minglai Shao, Zhengzhang Chen, Haifeng Chen

Proceedings of the 2025 SIAM International Conference on Data Mining, 2025

2024

Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs.

Rui Yang, Ruomeng Ding, Yong Lin, Huan Zhang, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 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

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Exploring Temporal Community Structure via Network Embedding.

Tianpeng Li, Wenjun Wang, Pengfei Jiao, Yinghui Wang, Ruomeng Ding, Huaming Wu, Lin Pan, Di Jin

IEEE Trans. Cybern., November, 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

Proc. VLDB Endow., November, 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

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 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

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

Action Unit Detection with Joint Adaptive Attention and Graph Relation.

Chenggong Zhang, Juan Song, Qingyang Zhang, Weilong Dong, Ruomeng Ding, Zhilei Liu

CoRR, 2021