most citedKnowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach

19 citations · 19 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2025

Roleplaying with Structure: Synthetic Therapist-Client Conversation Generation from Questionnaires

Doan Nam Long Vu, Rui Tan, Lena Moench +10

Large Language Models (LLMs) are promising tools for synthetic data generation in mental health. However, privacy policies and restrictions forced previous work to rely mainly on g…

cs.AI2025

ProRe: A Proactive Reward System for GUI Agents via Reasoner-Actor Collaboration

Gaole Dai, Shiqi Jiang, Ting Cao +5

Reward is critical to the evaluation and training of large language models (LLMs). However, existing rule-based or model-based reward methods struggle to generalize to GUI agents,…

cs.AI2025

Advancing Mobile GUI Agents: A Verifier-Driven Approach to Practical Deployment

Gaole Dai, Shiqi Jiang, Ting Cao +5

We propose V-Droid, a mobile GUI task automation agent. Unlike previous mobile agents that utilize Large Language Models (LLMs) as generators to directly generate actions at each s…

cs.AI2024

Expand Heterogeneous Learning Systems with Selective Multi-Source Knowledge Fusion

Gaole Dai, Huatao Xu, Yifan Yang +2

Expanding existing learning systems to provide high-quality customized models for more domains, such as new users, is challenged by the limited labeled data and the data and device…

cs.SE2024★ 19 cited

Knowledge-aware Alert Aggregation in Large-scale Cloud Systems: a Hybrid Approach

Jinxi Kuang, Jinyang Liu, Junjie Huang +6

Due to the scale and complexity of cloud systems, a system failure would trigger an "alert storm", i.e., massive correlated alerts. Although these alerts can be traced back to a fe…