Jiaxing Qi

Orcid: 0000-0002-9530-2858

According to our database1, Jiaxing Qi authored at least 25 papers between 2014 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
SpikeLog: Log-Based Anomaly Detection via Potential-Assisted Spiking Neuron Network.
IEEE Trans. Knowl. Data Eng., December, 2024

LogSay: An Efficient Comprehension System for Log Numerical Reasoning.
IEEE Trans. Computers, July, 2024

ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG.
IEEE Trans. Parallel Distributed Syst., 2024

Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation.
Frontiers Artif. Intell., 2024

FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning.
CoRR, 2024

Exploring the Comprehension of ChatGPT in Traditional Chinese Medicine Knowledge.
CoRR, 2024

Gloss: Guiding Large Language Models to Answer Questions from System Logs.
Proceedings of the IEEE International Conference on Software Analysis, 2024

2023
LogEncoder: Log-Based Contrastive Representation Learning for Anomaly Detection.
IEEE Trans. Netw. Serv. Manag., June, 2023

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection.
CoRR, 2023

LogQA: Question Answering in Unstructured Logs.
CoRR, 2023

Improving WaveRNN with Heuristic Dynamic Blending for Fast and High-Quality GPU Vocoding.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023

Efficient Incremental Text-to-Speech on GPUs.
Proceedings of the Asia Pacific Signal and Information Processing Association Annual Summit and Conference, 2023

2022
Imbalanced data classification based on diverse sample generation and classifier fusion.
Int. J. Mach. Learn. Cybern., 2022

Binary imbalanced data classification based on diversity oversampling by generative models.
Inf. Sci., 2022

WholeGraph: A Fast Graph Neural Network Training Framework with Multi-GPU Distributed Shared Memory Architecture.
Proceedings of the SC22: International Conference for High Performance Computing, 2022

Adanomaly: Adaptive Anomaly Detection for System Logs with Adversarial Learning.
Proceedings of the 2022 IEEE/IFIP Network Operations and Management Symposium, 2022

2021
An instance selection algorithm for fuzzy <i>K</i>-nearest neighbor.
J. Intell. Fuzzy Syst., 2021

2020
Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion.
IEEE Access, 2020

Nash Equilibrium and Social Optimization of Transactions in Blockchain System Based on Discrete-Time Queue.
IEEE Access, 2020

2019
Implementation of the compact interpolation within the octree based Lattice Boltzmann solver Musubi.
Comput. Math. Appl., 2019

2017
Efficient Lattice Boltzmann simulations on large scale high performance computing systems = Effiziente Lattice-Boltzmann Simulationen auf großtechnischen HPC-Systemen.
PhD thesis, 2017

2015
Performance Evaluation of the LBM Solver Musubi on Various HPC Architectures.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015


2014
Complex fluid simulations with the parallel tree-based Lattice Boltzmann solver Musubi.
J. Comput. Sci., 2014


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