Zilong He
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Bibliography
2025
Clinical, radiological, and radiomics feature-based explainable machine learning models for prediction of neurological deterioration and 90-day outcomes in mild intracerebral hemorrhage.
BMC Medical Imaging, December, 2025
Subgraphs as First-Class Citizens in Incident Management for Large-Scale Online Systems: An Evolution-Aware Framework.
IEEE Trans. Software Eng., September, 2025
On the Practicability of Deep Learning Based Anomaly Detection for Modern Online Software Systems: A Pre-Train-and-Align Framework.
ACM Trans. Softw. Eng. Methodol., July, 2025
InferLog: Accelerating LLM Inference for Online Log Parsing via ICL-oriented Prefix Caching.
CoRR, July, 2025
Research data management in institutional repositories: an architectural approach using data lakehouses.
Digit. Libr. Perspect., 2025
MoTor: Resource-efficient cloud-native network acceleration with programmable switches.
Comput. Networks, 2025
Ultra-Wideband Precision Tunable Laser with Wavelength Locking Based on a High-Density Integrated DFB Laser Array.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2025
Proceedings of the IEEE International Conference on Robotics and Automation, 2025
Mint: Cost-Efficient Tracing with All Requests Collection via Commonality and Variability Analysis.
Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025
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
Proc. ACM Softw. Eng., 2024
Proc. ACM Softw. Eng., 2024
J. Documentation, 2024
CoRR, 2024
Proceedings of the 23rd IEEE International Conference on Trust, 2024
Proceedings of the 39th IEEE/ACM International Conference on Automated Software Engineering, 2024
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024
Proceedings of the 15th Asia-Pacific Symposium on Internetware, 2024
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
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
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
MARS: Fault Localization in Programmable Networking Systems with Low-cost In-Band Network Telemetry.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 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
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
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
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
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
Comput. Methods Programs Biomed., 2019
2016
Evolview v2: an online visualization and management tool for customized and annotated phylogenetic trees.
Nucleic Acids Res., 2016