Complex fluid simulations with the parallel tree-based Lattice Boltzmann solver Musubi. - Manuel Hasert; Kannan Masilamani; Simon Zimny; Harald Klimach; Jiaxing Qi; Jörg Bernsdorf; Sabine Roller (J. Comput. Sci., 2014)

Extreme Scale-out SuperMUC Phase 2 - lessons learned. - Nicolay Hammer; Ferdinand Jamitzky; Helmut Satzger; Momme Allalen; Alexander Block; Anupam Karmakar; Matthias Brehm; Reinhold Bader; Luigi Iapichino; Antonio Ragagnin; Vasilios Karakasis; Dieter Kranzlmüller; et al. (PARCO, 2015)

Performance Evaluation of the LBM Solver Musubi on Various HPC Architectures. - Jiaxing Qi; Kartik Jain; Harald Klimach; Sabine Roller (PARCO, 2015)

Efficient Lattice Boltzmann simulations on large scale high performance computing systems = Effiziente Lattice-Boltzmann Simulationen auf großtechnischen HPC-Systemen. - Jiaxing Qi (2017)

Implementation of the compact interpolation within the octree based Lattice Boltzmann solver Musubi. - Jiaxing Qi; Harald Klimach; Sabine Roller (Comput. Math. Appl., 2019)

Nash Equilibrium and Social Optimization of Transactions in Blockchain System Based on Discrete-Time Queue. - Jiaxing Qi; Jing Yu; Shunfu Jin (IEEE Access, 2020)

Binary Imbalanced Data Classification Based on Modified D2GAN Oversampling and Classifier Fusion. - Junhai Zhai; Jiaxing Qi; Sufang Zhang (IEEE Access, 2020)

An instance selection algorithm for fuzzy K-nearest neighbor. - Junhai Zhai; Jiaxing Qi; Sufang Zhang (J. Intell. Fuzzy Syst., 2021)

Adanomaly: Adaptive Anomaly Detection for System Logs with Adversarial Learning. - Jiaxing Qi; Zhongzhi Luan; Shaohan Huang; Yukun Wang; Carol J. Fung; Hailong Yang 002; Depei Qian (NOMS, 2022)

WholeGraph: A Fast Graph Neural Network Training Framework with Multi-GPU Distributed Shared Memory Architecture. - Dongxu Yang; Junhong Liu; Jiaxing Qi; Junjie Lai (SC, 2022)

Binary imbalanced data classification based on diversity oversampling by generative models. - Junhai Zhai; Jiaxing Qi; Chu Shen (Inf. Sci., 2022)

Imbalanced data classification based on diverse sample generation and classifier fusion. - Junhai Zhai; Jiaxing Qi; Sufang Zhang (Int. J. Mach. Learn. Cybern., 2022)

Efficient Incremental Text-to-Speech on GPUs. - Muyang Du; Chuan Liu; Jiaxing Qi; Junjie Lai (APSIPA ASC, 2023)

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection. - Jiaxing Qi; Shaohan Huang; Zhongzhi Luan; Shu Yang; Carol J. Fung; Hailong Yang 002; Depei Qian; Jing Shang; Zhiwen Xiao; Zhihui Wu (HPCC/DSS/SmartCity/DependSys, 2023)

Improving WaveRNN with Heuristic Dynamic Blending for Fast and High-Quality GPU Vocoding. - Muyang Du; Chuan Liu; Jiaxing Qi; Junjie Lai (INTERSPEECH, 2023)

LogQA: Question Answering in Unstructured Logs. - Shaohan Huang; Yi Liu 013; Carol J. Fung; Jiaxing Qi; Hailong Yang 002; Zhongzhi Luan (CoRR, 2023)

LogGPT: Exploring ChatGPT for Log-Based Anomaly Detection. - Jiaxing Qi; Shaohan Huang; Zhongzhi Luan; Carol J. Fung; Hailong Yang 002; Depei Qian (CoRR, 2023)

LogEncoder: Log-Based Contrastive Representation Learning for Anomaly Detection. - Jiaxing Qi; Zhongzhi Luan; Shaohan Huang; Carol J. Fung; Hailong Yang 002; Hanlu Li; Danfeng Zhu; Depei Qian (IEEE Trans. Netw. Serv. Manag., 2023)

Log Analysis with Interpretability and Usability. - Jiaxing Qi (ICSOC Workshops (2), 2024)

Gloss: Guiding Large Language Models to Answer Questions from System Logs. - Shaohan Huang; Yi Liu 013; Jiaxing Qi; Jing Shang; Zhiwen Xiao; Carol J. Fung; Zhihui Wu; Hailong Yang 002; Zhongzhi Luan; Depei Qian (SANER, 2024)

Exploring the Comprehension of ChatGPT in Traditional Chinese Medicine Knowledge. - Yizhen Li; Shaohan Huang; Jiaxing Qi; Lei Quan; Dongran Han; Zhongzhi Luan (CoRR, 2024)

FDLoRA: Personalized Federated Learning of Large Language Model via Dual LoRA Tuning. - Jiaxing Qi; Zhongzhi Luan; Shaohan Huang; Carol J. Fung; Hailong Yang 002; Depei Qian (CoRR, 2024)

Quantum Machine Learning in Log-based Anomaly Detection: Challenges and Opportunities. - Jiaxing Qi; Chang Zeng; Zhongzhi Luan; Shaohan Huang; Shu Yang; Yao Lu; Bin Han; Hailong Yang 002; Depei Qian (CoRR, 2024)

Automated information extraction model enhancing traditional Chinese medicine RCT evidence extraction (Evi-BERT): algorithm development and validation. - Yizhen Li; Zhongzhi Luan; Yixing Liu; Heyuan Liu; Jiaxing Qi; Dongran Han (Frontiers Artif. Intell., 2024)

ElasticBatch: A Learning-Augmented Elastic Scheduling System for Batch Inference on MIG. - Jiaxing Qi; Wencong Xiao; Mingzhen Li 001; Chaojie Yang; Yong Li 020; Wei Lin 016; Hailong Yang 002; Zhongzhi Luan; Depei Qian (IEEE Trans. Parallel Distributed Syst., 2024)

LogSay: An Efficient Comprehension System for Log Numerical Reasoning. - Jiaxing Qi; Zhongzhi Luan; Shaohan Huang; Carol J. Fung; Hailong Yang 002 (IEEE Trans. Computers, 2024)

SpikeLog: Log-Based Anomaly Detection via Potential-Assisted Spiking Neuron Network. - Jiaxing Qi; Zhongzhi Luan; Shaohan Huang; Carol J. Fung; Hailong Yang 002; Depei Qian (IEEE Trans. Knowl. Data Eng., 2024)

MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation. - Zhifei Yang 004; Keyang Lu; Chao Zhang; Jiaxing Qi; Hanqi Jiang; Ruifei Ma; Shenglin Yin; Yifan Xu; Mingzhe Xing; Zhen Xiao; Jieyi Long; Xiangde Liu; et al. (AAAI, 2025)

Beyond Window-Based Detection: A Graph-Centric Framework for Discrete Log Anomaly Detection. - Jiaxing Qi; Chang Zeng; Zhongzhi Luan; Shaohan Huang; Shu Yang; Yao Lu; Hailong Yang 002; Depei Qian (CoRR, 2025)

Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models. - Xiaoyan Wang; Zeju Li; Yifan Xu; Jiaxing Qi; Zhifei Yang 004; Ruifei Ma; Xiangde Liu; Chao Zhang (CoRR, 2025)