124 citations · 257 across the 14 of their papers we have counts for
14 papers
ROME: Testing Image Captioning Systems via Recursive Object Melting
Boxi Yu, Zhiqing Zhong, Jiaqi Li +3
Image captioning (IC) systems aim to generate a text description of the salient objects in an image. In recent years, IC systems have been increasingly integrated into our daily li…
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection
Yuhang Chen, Chaoyun Zhang, Minghua Ma +7
Anomaly detection in multivariate time series data is of paramount importance for ensuring the efficient operation of large-scale systems across diverse domains. However, accuratel…
Assess and Summarize: Improve Outage Understanding with Large Language Models
Pengxiang Jin, Shenglin Zhang, Minghua Ma +13
Cloud systems have become increasingly popular in recent years due to their flexibility and scalability. Each time cloud computing applications and services hosted on the cloud are…
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction
Zhenhao Li, Chuan Luo, Tse-Hsun Chen +4
Due to the sheer size of software logs, developers rely on automated techniques for log analysis. One of the first and most important steps of automated log analysis is log abstrac…
Incident-aware Duplicate Ticket Aggregation for Cloud Systems
Jinyang Liu, Shilin He, Zhuangbin Chen +10
In cloud systems, incidents are potential threats to customer satisfaction and business revenue. When customers are affected by incidents, they often request customer support servi…
UniParser: A Unified Log Parser for Heterogeneous Log Data
Yudong Liu, Xu Zhang, Shilin He +9
Logs provide first-hand information for engineers to diagnose failures in large-scale online service systems. Log parsing, which transforms semi-structured raw log messages into st…
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine Translation
Wenxiang Jiao, Xing Wang, Shilin He +3
Large-scale training datasets lie at the core of the recent success of neural machine translation (NMT) models. However, the complex patterns and potential noises in the large-scal…
Multi-Task Learning with Shared Encoder for Non-Autoregressive Machine Translation
Yongchang Hao, Shilin He, Wenxiang Jiao +3
Non-Autoregressive machine Translation (NAT) models have demonstrated significant inference speedup but suffer from inferior translation accuracy. The common practice to tackle the…
A Survey on Automated Log Analysis for Reliability Engineering
Shilin He, Pinjia He, Zhuangbin Chen +3
Logs are semi-structured text generated by logging statements in software source code. In recent decades, software logs have become imperative in the reliability assurance mechanis…
Loghub: A Large Collection of System Log Datasets for AI-driven Log Analytics
Jieming Zhu, Shilin He, Pinjia He +2
Logs have been widely adopted in software system development and maintenance because of the rich runtime information they record. In recent years, the increase of software size and…
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models
Shilin He, Xing Wang, Shuming Shi +2
Machine translation (MT) systems translate text between different languages by automatically learning in-depth knowledge of bilingual lexicons, grammar and semantics from the train…
Logzip: Extracting Hidden Structures via Iterative Clustering for Log Compression
Jinyang Liu, Jieming Zhu, Shilin He +3
System logs record detailed runtime information of software systems and are used as the main data source for many tasks around software engineering. As modern software systems are…
Towards Understanding Neural Machine Translation with Word Importance
Shilin He, Zhaopeng Tu, Xing Wang +3
Although neural machine translation (NMT) has advanced the state-of-the-art on various language pairs, the interpretability of NMT remains unsatisfactory. In this work, we propose…
Tools and Benchmarks for Automated Log Parsing
Jieming Zhu, Shilin He, Jinyang Liu +4
Logs are imperative in the development and maintenance process of many software systems. They record detailed runtime information that allows developers and support engineers to mo…