Michael R. Lyu

research

∙ 09/21/2023

Revealing Performance Issues in Server-side WebAssembly Runtimes via Differential Testing

WebAssembly (Wasm) is a bytecode format originally serving as a compilat...

0 Shuyao Jiang, et al. ∙

research

∙ 09/19/2023

Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System

In-memory caching systems are fundamental building blocks in cloud servi...

0 Jiacheng Shen, et al. ∙

research

∙ 09/15/2023

REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes

Software plays a crucial role in our daily lives, and therefore the qual...

0 Chaozheng Wang, et al. ∙

research

∙ 09/14/2023

Do Not Give Away My Secrets: Uncovering the Privacy Issue of Neural Code Completion Tools

Neural Code Completion Tools (NCCTs) have reshaped the field of software...

0 Yizhan Huang, et al. ∙

research

∙ 08/21/2023

A Large-scale Benchmark for Log Parsing

Log data is pivotal in activities like anomaly detection and failure dia...

0 Zhihan Jiang, et al. ∙

research

∙ 08/19/2023

Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services

As modern software systems continue to grow in terms of complexity and v...

0 Jinyang Liu, et al. ∙

research

∙ 08/18/2023

An Image is Worth a Thousand Toxic Words: A Metamorphic Testing Framework for Content Moderation Software

The exponential growth of social media platforms has brought about a rev...

0 Wenxuan Wang, et al. ∙

research

∙ 08/18/2023

VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control

As the model size of pre-trained language models (PLMs) grows rapidly, f...

0 Zi-Yuan Hu, et al. ∙

research

∙ 08/18/2023

AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection

The rapid progress of modern computing systems has led to a growing inte...

0 Yintong Huo, et al. ∙

research

∙ 08/15/2023

Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion

Ensuring the reliability and user satisfaction of cloud services necessi...

0 Cheryl Lee, et al. ∙

research

∙ 08/15/2023

Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems

Ensuring the reliability of cloud systems is critical for both cloud ven...

0 Jinyang Liu, et al. ∙

research

∙ 08/13/2023

Towards Modeling Software Quality of Virtual Reality Applications from Users' Perspectives

Virtual Reality (VR) technology has become increasingly popular in recen...

0 Shuqing Li, et al. ∙

research

∙ 08/09/2023

CLEVA: Chinese Language Models EVAluation Platform

With the continuous emergence of Chinese Large Language Models (LLMs), h...

0 Yanyang Li, et al. ∙

research

∙ 08/07/2023

Emotionally Numb or Empathetic? Evaluating How LLMs Feel Using EmotionBench

Recently, the community has witnessed the advancement of Large Language ...

0 Jen-tse Huang, et al. ∙

research

∙ 07/18/2023

Generative Type Inference for Python

Python is a popular dynamic programming language, evidenced by its ranki...

0 Yun Peng, et al. ∙

research

∙ 07/12/2023

Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study

Automated logging statement generation techniques facilitate developers ...

0 Yichen Li, et al. ∙

research

∙ 06/14/2023

On the Robustness of Latent Diffusion Models

Latent diffusion models achieve state-of-the-art performance on a variet...

0 Jianping Zhang, et al. ∙

research

∙ 06/08/2023

Scalable and Adaptive Log-based Anomaly Detection with Expert in the Loop

System logs play a critical role in maintaining the reliability of softw...

0 Jinyang Liu, et al. ∙

research

∙ 06/02/2023

Domain Knowledge Matters: Improving Prompts with Fix Templates for Repairing Python Type Errors

Although the dynamic type system of Python facilitates the developers in...

0 Yun Peng, et al. ∙

research

∙ 05/31/2023

ChatGPT an ENFJ, Bard an ISTJ: Empirical Study on Personalities of Large Language Models

Large Language Models (LLMs) have made remarkable advancements in the fi...

0 Jen-tse Huang, et al. ∙

research

∙ 04/15/2023

Constructing Effective In-Context Demonstration for Code Intelligence Tasks: An Empirical Study

Pre-trained models of code have gained widespread popularity in many cod...

0 Shuzheng Gao, et al. ∙

research

∙ 03/28/2023

Transferable Adversarial Attacks on Vision Transformers with Token Gradient Regularization

Vision transformers (ViTs) have been successfully deployed in a variety ...

0 Jianping Zhang, et al. ∙

research

∙ 03/28/2023

Improving the Transferability of Adversarial Samples by Path-Augmented Method

Deep neural networks have achieved unprecedented success on diverse visi...

0 Jianping Zhang, et al. ∙

research

∙ 02/19/2023

Incident-aware Duplicate Ticket Aggregation for Cloud Systems

In cloud systems, incidents are potential threats to customer satisfacti...

0 Jinyang Liu, et al. ∙

research

∙ 02/14/2023

Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention

Prompt and accurate detection of system anomalies is essential to ensure...

0 Cheryl Lee, et al. ∙

research

∙ 02/10/2023

Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data

The complexity and dynamism of microservices pose significant challenges...

0 Cheryl Lee, et al. ∙

research

∙ 01/24/2023

FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version)

Distributed in-memory key-value (KV) stores are embracing the disaggrega...

0 Jiacheng Shen, et al. ∙

research

∙ 12/25/2022

An Adaptive Resilience Testing Framework for Microservice Systems

Resilience testing, which measures the ability to minimize service degra...

0 Tianyi Yang, et al. ∙

research

∙ 12/23/2022

Front-Running Attack Benchmark Construction and Vulnerability Detection Technique Evaluation

Front-running attacks have been a major concern on the blockchain. Attac...

0 Wuqi Zhang, et al. ∙

research

∙ 11/03/2022

Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation

Recent advances in large-scale pre-training provide large models with th...

0 Yanyang Li, et al. ∙

research

∙ 09/15/2022

A Transformer-Based Approach for Improving App Review Response Generation

Mobile apps are becoming an integral part of people's daily life by prov...

0 Weizhe Zhang, et al. ∙

research

∙ 08/28/2022

Managing Service Dependency for Cloud Reliability: The Industrial Practice

Interactions between cloud services result in service dependencies. Eval...

0 Tianyi Yang, et al. ∙

research

∙ 08/03/2022

API Usage Recommendation via Multi-View Heterogeneous Graph Representation Learning

Developers often need to decide which APIs to use for the functions bein...

0 Yujia Chen, et al. ∙

research

∙ 07/24/2022

No More Fine-Tuning? An Experimental Evaluation of Prompt Tuning in Code Intelligence

Pre-trained models have been shown effective in many code intelligence t...

0 Chaozheng Wang, et al. ∙

research

∙ 07/09/2022

A Closer Look into Transformer-Based Code Intelligence Through Code Transformation: Challenges and Opportunities

Transformer-based models have demonstrated state-of-the-art performance ...

0 Yaoxian Li, et al. ∙

research

∙ 06/22/2022

Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning

Prompt and accurate detection of system anomalies is essential to ensure...

0 Baitong Li, et al. ∙

research

∙ 05/21/2022

Retrieval-Augmented Multilingual Keyphrase Generation with Retriever-Generator Iterative Training

Keyphrase generation is the task of automatically predicting keyphrases ...

0 Yifan Gao, et al. ∙

research

∙ 05/20/2022

Understanding and Mitigating the Uncertainty in Zero-Shot Translation

Zero-shot translation is a promising direction for building a comprehens...

0 Wenxuan Wang, et al. ∙

research

∙ 05/13/2022

AEON: A Method for Automatic Evaluation of NLP Test Cases

Due to the labor-intensive nature of manual test oracle construction, va...

2 Jen-tse Huang, et al. ∙

research

∙ 04/15/2022

Text Revision by On-the-Fly Representation Optimization

Text revision refers to a family of natural language generation tasks, w...

0 Jingjing Li, et al. ∙

research

∙ 04/13/2022

Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems

Alerts are crucial for requesting prompt human intervention upon cloud a...

0 Tianyi Yang, et al. ∙

research

∙ 03/31/2022

Improving Adversarial Transferability via Neuron Attribution-Based Attacks

Deep neural networks (DNNs) are known to be vulnerable to adversarial ex...

0 Jianping Zhang, et al. ∙

research

∙ 03/29/2022

Accelerating Code Search with Deep Hashing and Code Classification

Code search is to search reusable code snippets from source code corpus ...

0 Wenchao Gu, et al. ∙

research

∙ 02/14/2022

FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows

Despite recent progress in open-domain dialogue evaluation, how to devel...

0 Jianqiao Zhao, et al. ∙

research

∙ 01/09/2022

Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching

To ensure the performance of online service systems, their status is clo...

0 Zhuangbin Chen, et al. ∙

research

∙ 01/05/2022

ARCLIN: Automated API Mention Resolution for Unformatted Texts

Online technical forums (e.g., StackOverflow) are popular platforms for ...

0 Yintong Huo, et al. ∙

research

∙ 12/23/2021

SemParser: A Semantic Parser for Log Analysis

Logs, being run-time information automatically generated by software, re...

0 Yintong Huo, et al. ∙

research

∙ 09/30/2021

Towards Efficient Post-training Quantization of Pre-trained Language Models

Network quantization has gained increasing attention with the rapid grow...

0 Haoli Bai, et al. ∙

research

∙ 08/27/2021

Graph-based Incident Aggregation for Large-Scale Online Service Systems

As online service systems continue to grow in terms of complexity and vo...

0 Zhuangbin Chen, et al. ∙

research

∙ 08/20/2021

AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems

Service reliability is one of the key challenges that cloud providers ha...

0 Tianyi Yang, et al. ∙

Michael R. Lyu

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