Action Unit Detection with Joint Adaptive Attention and Graph Relation. - Chenggong Zhang; Juan Song; Qingyang Zhang; Weilong Dong; Ruomeng Ding; Zhilei Liu (CoRR, 2021)

Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. - Lu Wang 029; Chaoyun Zhang; Ruomeng Ding; Yong Xu 010; Qihang Chen; Wentao Zou; Qingjun Chen; Meng Zhang 025; Xuedong Gao; Hao Fan; Saravan Rajmohan; Qingwei Lin; et al. (KDD, 2023)

TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Xiaomin Wu; Meng Zhang 025; Qingjun Chen; Xin Gao; Xuedong Gao; Hao Fan; Saravan Rajmohan; et al. (ESEC/SIGSOFT FSE, 2023)

ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. - Yuhang Chen; Chaoyun Zhang; Minghua Ma; Yudong Liu; Ruomeng Ding; Bowen Li 002; Shilin He; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (Proc. VLDB Endow., 2023)

Exploring Temporal Community Structure via Network Embedding. - Tianpeng Li; Wenjun Wang 002; Pengfei Jiao; Yinghui Wang; Ruomeng Ding; Huaming Wu; Lin Pan 002; Di Jin 001 (IEEE Trans. Cybern., 2023)

Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. - Ruomeng Ding; Chaoyun Zhang; Lu Wang 029; Yong Xu 010; Minghua Ma; Wei Zhang 056; Si Qin; Saravan Rajmohan; Qingwei Lin; Dongmei Zhang 001 (ACL (Findings), 2024)

Regularizing Hidden States Enables Learning Generalizable Reward Model for LLMs. - Rui Yang 010; Ruomeng Ding; Yong Lin; Huan Zhang 001; Tong Zhang 001 (NeurIPS, 2024)

Evidence-Based Out-of-Distribution Detection on Multi-Label Graphs. - Ruomeng Ding; Xujiang Zhao; Chen Zhao 010; Minglai Shao 001; Zhengzhang Chen; Haifeng Chen (SDM, 2025)