65 citations · 180 across the 25 of their papers we have counts for
25 papers
IcFuzz: Fuzzing Isaac Sim with Semantic Stage Guidance and Multi-level Mutation
Zhixiang Chen, Zhuangbin Chen, Ruoxi Jia +4
Robotics simulators serve as a foundational infrastructure for embodied AI, facilitating safe and scalable robotic system development. NVIDIA Isaac Sim has emerged as one of the mo…
Dynamic Quality Metric Oriented Error-bounded Lossy Compression for Scientific Datasets
Jinyang Liu, Sheng Di, Kai Zhao +3
With the ever-increasing execution scale of high performance computing (HPC) applications, vast amounts of data are being produced by scientific research every day. Error-bounded l…
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
Jinyang Liu, Tianyi Yang, Zhuangbin Chen +4
As modern software systems continue to grow in terms of complexity and volume, anomaly detection on multivariate monitoring metrics, which profile systems' health status, becomes m…
Prism: Revealing Hidden Functional Clusters from Massive Instances in Cloud Systems
Jinyang Liu, Zhihan Jiang, Jiazhen Gu +6
Ensuring the reliability of cloud systems is critical for both cloud vendors and customers. Cloud systems often rely on virtualization techniques to create instances of hardware re…
A Large-Scale Evaluation for Log Parsing Techniques: How Far Are We?
Zhihan Jiang, Jinyang Liu, Junjie Huang +6
Log data have facilitated various tasks of software development and maintenance, such as testing, debugging and diagnosing. Due to the unstructured nature of logs, log parsing is t…
gZCCL: Compression-Accelerated Collective Communication Framework for GPU Clusters
Jiajun Huang, Sheng Di, Xiaodong Yu +11
GPU-aware collective communication has become a major bottleneck for modern computing platforms as GPU computing power rapidly rises. A traditional approach is to directly integrat…
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal Features
Wenwei Gu, Jinyang Liu, Zhuangbin Chen +7
Cloud systems are susceptible to performance issues, which may cause service-level agreement violations and financial losses. In current practice, crucial metrics are monitored per…
Log-based Anomaly Detection based on EVT Theory with feedback
Jinyang Liu, Junjie Huang, Yintong Huo +6
System logs play a critical role in maintaining the reliability of software systems. Fruitful studies have explored automatic log-based anomaly detection and achieved notable accur…
EvLog: Identifying Anomalous Logs over Software Evolution
Yintong Huo, Cheryl Lee, Yuxin Su +3
Software logs record system activities, aiding maintainers in identifying the underlying causes for failures and enabling prompt mitigation actions. However, maintainers need to in…
Accelerating MPI Collectives with Process-in-Process-based Multi-object Techniques
Jiajun Huang, Kaiming Ouyang, Yujia Zhai +8
In the exascale computing era, optimizing MPI collective performance in high-performance computing (HPC) applications is critical. Current algorithms face performance degradation d…
Anatomy of High-Performance GEMM with Online Fault Tolerance on GPUs
Shixun Wu, Yujia Zhai, Jinyang Liu +4
General Matrix Multiplication (GEMM) is a crucial algorithm for various applications such as machine learning and scientific computing, and an efficient GEMM implementation is esse…
An Optimized Error-controlled MPI Collective Framework Integrated with Lossy Compression
Jiajun Huang, Sheng Di, Xiaodong Yu +11
With the ever-increasing computing power of supercomputers and the growing scale of scientific applications, the efficiency of MPI collective communications turns out to be a criti…
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…
Geometry of Score Based Generative Models
Sandesh Ghimire, Jinyang Liu, Armand Comas +4
In this work, we look at Score-based generative models (also called diffusion generative models) from a geometric perspective. From a new view point, we prove that both the forward…
BARS: Towards Open Benchmarking for Recommender Systems
Jieming Zhu, Quanyu Dai, Liangcai Su +5
The past two decades have witnessed the rapid development of personalized recommendation techniques. Despite significant progress made in both research and practice of recommender…
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
Zhuangbin Chen, Jinyang Liu, Yuxin Su +4
To ensure the performance of online service systems, their status is closely monitored with various software and system metrics. Performance anomalies represent the performance deg…
Graph-based Incident Aggregation for Large-Scale Online Service Systems
Zhuangbin Chen, Jinyang Liu, Yuxin Su +5
As online service systems continue to grow in terms of complexity and volume, how service incidents are managed will significantly impact company revenue and user trust. Due to the…
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Zhuangbin Chen, Jinyang Liu, Wenwei Gu +2
Logs have been an imperative resource to ensure the reliability and continuity of many software systems, especially large-scale distributed systems. They faithfully record runtime…
Exploring Autoencoder-based Error-bounded Compression for Scientific Data
Jinyang Liu, Sheng Di, Kai Zhao +5
Error-bounded lossy compression is becoming an indispensable technique for the success of today's scientific projects with vast volumes of data produced during simulations or instr…
FT-BLAS: A High Performance BLAS Implementation With Online Fault Tolerance
Yujia Zhai, Elisabeth Giem, Quan Fan +3
Basic Linear Algebra Subprograms (BLAS) is a core library in scientific computing and machine learning. This paper presents FT-BLAS, a new implementation of BLAS routines that not…
Ensemble Knowledge Distillation for CTR Prediction
Jieming Zhu, Jinyang Liu, Weiqi Li +4
Recently, deep learning-based models have been widely studied for click-through rate (CTR) prediction and lead to improved prediction accuracy in many industrial applications. Howe…
Open Benchmarking for Click-Through Rate Prediction
Jieming Zhu, Jinyang Liu, Shuai Yang +2
Click-through rate (CTR) prediction is a critical task for many applications, as its accuracy has a direct impact on user experience and platform revenue. In recent years, CTR pred…
Normalization of Input-output Shared Embeddings in Text Generation Models
Jinyang Liu, Yujia Zhai, Zizhong Chen
Neural Network based models have been state-of-the-art models for various Natural Language Processing tasks, however, the input and output dimension problem in the networks has sti…
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…