Zilong He

Orcid: 0000-0001-7963-082X

According to our database1, Zilong He authored at least 33 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-Cluster Self-Paced Diverse Learning and Feature Fusion for Autism Spectrum Disorder Identification With Resting-State fMRI.
IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

MicroFI: Non-Intrusive and Prioritized Request-Level Fault Injection for Microservice Applications.
IEEE Trans. Dependable Secur. Comput., 2024

ChangeRCA: Finding Root Causes from Software Changes in Large Online Systems.
Proc. ACM Softw. Eng., 2024

TraStrainer: Adaptive Sampling for Distributed Traces with System Runtime State.
Proc. ACM Softw. Eng., 2024

Barriers and facilitators to research data sharing: a lifecycle perspective.
J. Documentation, 2024

EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language Model.
CoRR, 2024

FaaSRCA: Full Lifecycle Root Cause Analysis for Serverless Applications.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

CTuner: Automatic NoSQL Database Tuning with Causal Reinforcement Learning.
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024

DashChef: A Metric Recommendation Service for Online Systems Using Graph Learning.
Proceedings of the Engineering of Complex Computer Systems - 28th International Conference, 2024

Real-Time Intrusion Detection and Prevention with Neural Network in Kernel Using eBPF.
Proceedings of the 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2024

Task Navigator: Decomposing Complex Tasks for Multimodal Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems.
IEEE Trans. Neural Networks Learn. Syst., April, 2023

FaaSDeliver: Cost-Efficient and QoS-Aware Function Delivery in Computing Continuum.
IEEE Trans. Serv. Comput., 2023

SwissLog: Robust Anomaly Detection and Localization for Interleaved Unstructured Logs.
IEEE Trans. Dependable Secur. Comput., 2023

DiagConfig: Configuration Diagnosis of Performance Violations in Configurable Software Systems.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Multi-view based computer-aided model with anatomical position prior for architectural distortion detection in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2023: Computer-Aided Diagnosis, San Diego, 2023

DeepPower: Deep Reinforcement Learning based Power Management for Latency Critical Applications in Multi-core Systems.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

MARS: Fault Localization in Programmable Networking Systems with Low-cost In-Band Network Telemetry.
Proceedings of the 52nd International Conference on Parallel Processing, 2023

2022
Deep Reinforcement Learning Based Beamforming for Throughput Maximization in Ultra-Dense Networks.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2022

Computer-aided detection for architectural distortion: a comparison of digital breast tomosynthesis and digital mammography.
Proceedings of the Medical Imaging 2022: Computer-Aided Diagnosis, San Diego, 2022

Graph based Incident Extraction and Diagnosis in Large-Scale Online Systems.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

Share or Not Share? Towards the Practicability of Deep Models for Unsupervised Anomaly Detection in Modern Online Systems.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

TS-InvarNet: Anomaly Detection and Localization based on Tempo-spatial KPI Invariants in Distributed Services.
Proceedings of the IEEE International Conference on Web Services, 2022

Active-MTSAD: Multivariate Time Series Anomaly Detection With Active Learning.
Proceedings of the 52nd Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2022

2021
Synthesis of Mammogram From Digital Breast Tomosynthesis Using Deep Convolutional Neural Network With Gradient Guided cGANs.
IEEE Trans. Medical Imaging, 2021

Selection for Cheaper Amino Acids Drives Nucleotide Usage at the Start of Translation in Eukaryotic Genes.
Genom. Proteom. Bioinform., 2021

A Literature Review of Social Network Analysis in Epidemic Prevention and Control.
Complex., 2021

Low-Complexity Symbol-rate Rx DSP for Short-Reach Optical Coherent Transmission Systems.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

Architectural distortion detection in digital breast tomosynthesis with adaptive receptive field and adaptive convolution kernel shape.
Proceedings of the Medical Imaging 2021: Computer-Aided Diagnosis, 2021

2020
Architectural distortion detection approach guided by mammary gland spatial pattern in digital breast tomosynthesis.
Proceedings of the Medical Imaging 2020: Computer-Aided Diagnosis, 2020

SwissLog: Robust and Unified Deep Learning Based Log Anomaly Detection for Diverse Faults.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

2019
Learning from adversarial medical images for X-ray breast mass segmentation.
Comput. Methods Programs Biomed., 2019

2016
Evolview v2: an online visualization and management tool for customized and annotated phylogenetic trees.
Nucleic Acids Res., 2016


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