Qinghua Zhou

81 papers A* 1A 3B 6C 3Misc 2Journal 51Unranked 15
YearRankTypeTitle / Venue / Authors
2026 J jnl
Collaborative Learning of Augmentation and Disentanglement for Semi-Supervised Domain Generalized Medical Image Segmentation.
IEEE Trans. Medical Imaging
Zhiqiang Shen, Peng Cao, Qinghua Zhou, Jinzhu Yang, Osmar R. Zaïane
2026 — conf
MSCCL++: Rethinking GPU Communication Abstractions for AI Inference.
ASPLOS (2)
Changho Hwang, Peng Cheng, Roshan Dathathri, Abhinav Jangda, Saeed Maleki, Madan Musuvathi, Olli Saarikivi, Aashaka Shah, Ziyue Yang, Binyang Li, Caio Rocha, Qinghua Zhou, Mahdieh Ghazimirsaeed, Sreevatsa Anantharamu, Jithin Jose
2025 J jnl
High-definition multi-scale voice-driven facial animation: enhancing lip-sync clarity and image detail.
Vis. Comput.
Long Zhang, Qinghua Zhou, Shuai Tang, Yunxiang Chen
2025 J jnl
MSCCL++: Rethinking GPU Communication Abstractions for Cutting-edge AI Applications.
CoRR
Aashaka Shah, Abhinav Jangda, Binyang Li, Caio Rocha, Changho Hwang, Jithin Jose, Madan Musuvathi, Olli Saarikivi, Peng Cheng, Qinghua Zhou, Roshan Dathathri, Saeed Maleki, Ziyue Yang
2025 J jnl
Semi-analytical method for thermal field analysis of multiple arbitrarily shaped inhomogeneities in heterogeneous geological media.
Comput. Geosci.
Guanxiang Ding, Pu Li, Xiaowu Luo, Qinghua Zhou, Hao Zhu, Qiang Zhang, Yanmin Liu
2025 J jnl
Simulation on the Motion Characteristics and Discharge Mechanism of Abrasive Particles in Conductive Slip Rings.
IEEE Access
Liang Chen, Xiaolong Huang, Qiang Zhang, Yanmin Liu, Qinghua Zhou, Shenli Jia
2025 J jnl
Staining and locking computer vision models without retraining.
CoRR
Oliver J. Sutton, Qinghua Zhou, George Leete, Alexander N. Gorban, Ivan Yu. Tyukin
2025 J jnl
StepProof: Step-by-step verification of natural language mathematical proofs.
CoRR
Xiaolin Hu, Qinghua Zhou, Bogdan Grechuk, Ivan Yu. Tyukin
2024 B conf
Accelerating Large Language Model Training with Hybrid GPU-based Compression.
CCGrid
Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. D. K. Panda
2024 J jnl
Accelerating Large Language Model Training with Hybrid GPU-based Compression.
CoRR
Lang Xu, Quentin Anthony, Qinghua Zhou, Nawras Alnaasan, Radha Gulhane, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda
2024 C conf
Accelerating MPI AllReduce Communication with Efficient GPU-Based Compression Schemes on Modern GPU Clusters.
ISC
Qinghua Zhou, Bharath Ramesh, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda
2024 J jnl
Coping with AI errors with provable guarantees.
Inf. Sci.
Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison
2024 J jnl
Deep learning in crowd counting: A survey.
CAAI Trans. Intell. Technol.
Lijia Deng, Qinghua Zhou, Shuihua Wang, Juan Manuel Górriz, Yudong Zhang
2024 J jnl
How adversarial attacks can disrupt seemingly stable accurate classifiers.
Neural Networks
Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham
2024 J jnl
Marginal Subspace Learning With Group Low-Rank for Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst.
Liran Yang, Qinghua Zhou, Bin Lu
2024 J jnl
Stealth edits for provably fixing or attacking large language models.
CoRR
Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Yu. Tyukin
2024 A* conf
Stealth edits to large language models.
NeurIPS
Oliver J. Sutton, Qinghua Zhou, Wei Wang, Desmond J. Higham, Alexander N. Gorban, Alexander Bastounis, Ivan Tyukin
2024 J jnl
Unsupervised domain adaptation via feature transfer learning based on elastic embedding.
Int. J. Mach. Learn. Cybern.
Liran Yang, Bin Lu, Qinghua Zhou, Pan Su
2024 B conf
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees.
IJCNN
Ivan Yu. Tyukin, Tatiana Tyukina, Daniel van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison
2024 J jnl
Weakly Supervised Learners for Correction of AI Errors with Provable Performance Guarantees.
CoRR
Ivan Yu. Tyukin, Tatiana Tyukina, Daniël P. van Helden, Zedong Zheng, Evgeny M. Mirkes, Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Penelope M. Allison
2023 J jnl
A Survey of Deep Learning for Alzheimer's Disease.
Mach. Learn. Knowl. Extr.
Qinghua Zhou, Jiaji Wang, Xiang Yu, Shuihua Wang, Yudong Zhang
2023 J jnl
A new segment method for pulmonary artery and vein.
Health Inf. Sci. Syst.
Qinghua Zhou, Wenjun Tan, Qingya Li, Baoting Li, Luyu Zhou, Xin Liu, Jinzhu Yang, Dazhe Zhao
2023 A conf
Accelerating Distributed Deep Learning Training with Compression Assisted Allgather and Reduce-Scatter Communication.
IPDPS
Qinghua Zhou, Quentin Anthony, Lang Xu, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda
2023 — conf
Autonomous Traversing across Floors Based on Vision for Reconfigurable Tracked Robot.
CRC
Hanbin Xie, Qinghua Zhou
2023 — conf
Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data.
Bench
Pouya Kousha, Qinghua Zhou, Hari Subramoni, Dhabaleswar K. Panda
2023 — conf
CREPES2: A Dynamic Position and Pose Estimation System.
CRC
Zhenjun Ying, Qinghua Zhou
2023 J jnl
Deep learning in food category recognition.
Inf. Fusion
Yudong Zhang, Lijia Deng, Hengde Zhu, Wei Wang, Zeyu Ren, Qinghua Zhou, Siyuan Lu, Shiting Sun, Ziquan Zhu, Juan Manuel Górriz, Shuihua Wang
2023 J jnl
How adversarial attacks can disrupt seemingly stable accurate classifiers.
CoRR
Oliver J. Sutton, Qinghua Zhou, Ivan Yu. Tyukin, Alexander N. Gorban, Alexander Bastounis, Desmond J. Higham
2023 J jnl
MEEDNets: Medical Image Classification via Ensemble Bio-inspired Evolutionary DenseNets.
Knowl. Based Syst.
Hengde Zhu, Wei Wang, Irek Ulidowski, Qinghua Zhou, Shuihua Wang, Huafeng Chen, Yudong Zhang
2023 — conf
MPI-xCCL: A Portable MPI Library over Collective Communication Libraries for Various Accelerators.
SC Workshops
Chen-Chun Chen, Kawthar Shafie Khorassani, Pouya Kousha, Qinghua Zhou, Jinghan Yao, Hari Subramoni, Dhabaleswar K. Panda
2023 — conf
Multi-Needle Particle Implantation Computer Assisted Surgery Based on Virtual Reality.
VR Workshops
Wenjun Tan, Jinsong Wang, Peifang Huang, Guangqiang Yang, Qinghua Zhou
2023 J jnl
Multiple-instance ensemble for construction of deep heterogeneous committees for high-dimensional low-sample-size data.
Neural Networks
Qinghua Zhou, Shuihua Wang, Hengde Zhu, Xin Zhang, Yudong Zhang
2023 B conf
Neuromorphic tuning of feature spaces to overcome the challenge of low-sample high-dimensional data.
IJCNN
Qinghua Zhou, Oliver J. Sutton, Yudong Zhang, Alexander N. Gorban, Valeri A. Makarov, Ivan Yu. Tyukin
2023 — conf
RWKV: Reinventing RNNs for the Transformer Era.
EMNLP (Findings)
Bo Peng, Eric Alcaide, Quentin Anthony, Alon Albalak, Samuel Arcadinho, Stella Biderman, Huanqi Cao, Xin Cheng, Michael Chung, Leon Derczynski, Xingjian Du, Matteo Grella, Kranthi Kiran GV, Xuzheng He, Haowen Hou, Przemyslaw Kazienko, Jan Kocon, Jiaming Kong, Bartlomiej Koptyra, Hayden Lau, Jiaju Lin, Krishna Sri Ipsit Mantri, Ferdinand Mom, Atsushi Saito, Guangyu Song, Xiangru Tang, Johan S. Wind, Stanislaw Wozniak, Zhenyuan Zhang, Qinghua Zhou, Jian Zhu, Rui-Jie Zhu
2023 — conf
Relative Intrinsic Dimensionality Is Intrinsic to Learning.
ICANN (1)
Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin
2023 J jnl
Relative intrinsic dimensionality is intrinsic to learning.
CoRR
Oliver J. Sutton, Qinghua Zhou, Alexander N. Gorban, Ivan Yu. Tyukin
2023 J jnl
SSRNet: A Deep Learning Network via Spatial-Based Super-resolution Reconstruction for Cell Counting and Segmentation.
Adv. Intell. Syst.
Lijia Deng, Qinghua Zhou, Shuihua Wang, Yudong Zhang
2023 — conf
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.
ICANN (1)
Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
2023 J jnl
The Boundaries of Verifiable Accuracy, Robustness, and Generalisation in Deep Learning.
CoRR
Alexander Bastounis, Alexander N. Gorban, Anders C. Hansen, Desmond J. Higham, Danil V. Prokhorov, Oliver J. Sutton, Ivan Yu. Tyukin, Qinghua Zhou
2023 J jnl
Unsupervised domain adaptation via re-weighted transfer subspace learning with inter-class sparsity.
Knowl. Based Syst.
Liran Yang, Bin Lu, Qinghua Zhou, Pan Su
2022 — conf
A segmentation method of airway from chest CT image based on VGG-Unet neural network.
BIBM
Wei Shao, Zhe Wang, Ziming Zhang, Qinghua Zhou, Ruoyu Wang, Wenjun Tan
2022 J jnl
A systematic survey of deep learning in breast cancer.
Int. J. Intell. Syst.
Xiang Yu, Qinghua Zhou, Shuihua Wang, Yudong Zhang
2022 Misc conf
Accelerating Broadcast Communication with GPU Compression for Deep Learning Workloads.
HIPC
Qinghua Zhou, Quentin Anthony, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda
2022 C conf
Accelerating MPI All-to-All Communication with Online Compression on Modern GPU Clusters.
ISC
Qinghua Zhou, Pouya Kousha, Quentin Anthony, Kawthar Shafie Khorassani, Aamir Shafi, Hari Subramoni, Dhabaleswar K. Panda
2022 J jnl
Deep residual neural network based image enhancement algorithm for low dose CT images.
Multim. Tools Appl.
Kaijian Xia, Qinghua Zhou, Yizhang Jiang, Bo Chen, Xiaoqing Gu
2022 Misc conf
Designing Efficient Pipelined Communication Schemes using Compression in MPI Libraries.
HIPC
Bharath Ramesh, Qinghua Zhou, Aamir Shafi, Mustafa Abduljabbar, Hari Subramoni, Dhabaleswar K. Panda
2022 J jnl
Ensemble Learning With Attention-Based Multiple Instance Pooling for Classification of SPT.
IEEE Trans. Circuits Syst. II Express Briefs
Qinghua Zhou, Xin Zhang, Yu-Dong Zhang
2022 B conf
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation.
IJCNN
Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin
2022 J jnl
Quasi-orthogonality and intrinsic dimensions as measures of learning and generalisation.
CoRR
Qinghua Zhou, Alexander N. Gorban, Evgeny M. Mirkes, Jonathan Bac, Andrei Yu. Zinovyev, Ivan Yu. Tyukin
2022 J jnl
Research on the spatial layout optimization strategy of Huaihe Road Commercial Block in Hefei city based on space syntax theory.
Frontiers Comput. Neurosci.
Qinghua Zhou, Yiran Zheng
2022 J jnl
Secondary Pulmonary Tuberculosis Identification Via pseudo-Zernike Moment and Deep Stacked Sparse Autoencoder.
J. Grid Comput.
Shui-Hua Wang, Suresh Chandra Satapathy, Qinghua Zhou, Xin Zhang, Yu-Dong Zhang
2022 J jnl
Transfer subspace learning joint low-rank representation and feature selection.
Multim. Tools Appl.
Liran Yang, Qinghua Zhou
2022 J jnl
WVALE: Weak variational autoencoder for localisation and enhancement of COVID-19 lung infections.
Comput. Methods Programs Biomed.
Qinghua Zhou, Shuihua Wang, Xin Zhang, Yu-Dong Zhang
2021 J jnl
Advances in Data Preprocessing for Biomedical Data Fusion: An Overview of the Methods, Challenges, and Prospects.
Inf. Fusion
Shuihua Wang, M. Emre Celebi, Yu-Dong Zhang, Xiang Yu, Siyuan Lu, Xujing Yao, Qinghua Zhou, Miguel Martinez-Garcia, Yingli Tian, Juan Manuel Górriz, Ivan Tyukin
2021 J jnl
Classification of COVID-19 pneumonia from chest CT images based on reconstructed super-resolution images and VGG neural network.
Health Inf. Sci. Syst.
Wenjun Tan, Pan Liu, Xiaoshuo Li, Yao Liu, Qinghua Zhou, Chao Chen, Zhaoxuan Gong, Xiaoxia Yin, Yanchun Zhang
2021 B conf
Demystification of Few-shot and One-shot Learning.
IJCNN
Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou
2021 J jnl
Demystification of Few-shot and One-shot Learning.
CoRR
Ivan Yu. Tyukin, Alexander N. Gorban, Muhammad H. Alkhudaydi, Qinghua Zhou
2021 A conf
Designing High-Performance MPI Libraries with On-the-fly Compression for Modern GPU Clusters
IPDPS
Qinghua Zhou, C. Chu, N. S. Kumar, Pouya Kousha, Seyedeh Mahdieh Ghazimirsaeed, Hari Subramoni, Dhabaleswar K. Panda
2021 — conf
Knowledge distillation for secondary pulmonary tuberculosis classification ensemble.
UCC Companion
Qinghua Zhou, Hengde Zhu, Xin Zhang, Yudong Zhang
2021 J jnl
Research on the Optimization Strategy of Shopping Mall Spatial Layout in Hefei Based on Space Syntax Theory.
Complex.
Qinghua Zhou, Ziqi Liu
2021 J jnl
Robust adaptive iterative learning control for nonrepetitive systems with iteration-varying parameters and initial state.
Int. J. Mach. Learn. Cybern.
Yan Geng, Xiaoe Ruan, Qinghua Zhou, Xuan Yang
2021 J jnl
SOSPCNN: Structurally Optimized Stochastic Pooling Convolutional Neural Network for Tetralogy of Fallot Recognition.
Wirel. Commun. Mob. Comput.
Shui-Hua Wang, Kaihong Wu, Tianshu Chu, Steven Lawrence Fernandes, Qinghua Zhou, Yu-Dong Zhang, Jian Sun
2021 J jnl
Sensorineural hearing loss classification via deep-HLNet and few-shot learning.
Multim. Tools Appl.
Xi Chen, Qinghua Zhou, Rushi Lan, Shui-Hua Wang, Yu-Dong Zhang, Xiaonan Luo
2020 A conf
A hierarchical and load-aware design for large message neighborhood collectives.
SC
S. Mahdieh Ghazimirsaeed, Qinghua Zhou, Amit Ruhela, Mohammadreza Bayatpour
2020 J jnl
Advances in multimodal data fusion in neuroimaging: Overview, challenges, and novel orientation.
Inf. Fusion
Yu-Dong Zhang, Zhengchao Dong, Shui-Hua Wang, Xiang Yu, Xujing Yao, Qinghua Zhou, Hua Hu, Min Li, Carmen Jimenez-Mesa, Javier Ramírez, Francisco Jesús Martínez-Murcia, Juan Manuel Górriz
2020 C conf
Dynamic Kernel Fusion for Bulk Non-contiguous Data Transfer on GPU Clusters.
CLUSTER
Ching-Hsiang Chu, Kawthar Shafie Khorassani, Qinghua Zhou, Hari Subramoni, Dhabaleswar K. Panda
2020 J jnl
Green scheduling optimization of ship plane block flow line considering carbon emission and noise.
Comput. Ind. Eng.
Hui Guo, Jinghua Li, Boxin Yang, Xuezhang Mao, Qinghua Zhou
2020 J jnl
ROC Analysis and Significance of Transperineal Ultrasound in the Diagnosis of Stress Urinary Incontinence.
J. Medical Imaging Health Informatics
Shuhao Deng, Quan Jiang, Yongbing Wang, Qinghua Zhou, Yuan Zhang
2020 J jnl
Using CNN with Bayesian optimization to identify cerebral micro-bleeds.
Mach. Vis. Appl.
Piyush Doke, Dhiraj Shrivastava, Chichun Pan, Qinghua Zhou, Yu-Dong Zhang
2018 J jnl
A governance platform for multi-project management in shipyards.
Comput. Ind. Eng.
Jinghua Li, Miaomiao Sun, Duanfeng Han, Xiaoyuan Wu, Boxin Yang, Xuezhang Mao, Qinghua Zhou
2018 — conf
Multiple Sclerosis Identification by Grey-Level Cooccurrence Matrix and Biogeography-Based Optimization.
DSP
Qinghua Zhou, Xiaoqing Shen
2018 J jnl
Semantic multi-agent system to assist business integration: An application on supplier selection for shipbuilding yards.
Comput. Ind.
Jinghua Li, Miaomiao Sun, Duanfeng Han, Xiaoyuan Wu, Boxin Yang, Xuezhang Mao, Qinghua Zhou
2014 J jnl
Seamline Determination Based on Segmentation for Urban Image Mosaicking.
IEEE Geosci. Remote. Sens. Lett.
Jun Pan, Qinghua Zhou, Mi Wang
2014 J jnl
Seamline Network Refinement Based on Area Voronoi Diagrams With Overlap.
IEEE Trans. Geosci. Remote. Sens.
Jun Pan, Mi Wang, Di Ma, Qinghua Zhou, Junli Li
2011 J jnl
Constructing composite search directions with parameters in quadratic interpolation models.
J. Glob. Optim.
Qinghua Zhou, Yan Li, Minghu Ha
2009 — conf
An Empirical Analysis of EZhou's Spatial Expansion Using Genealogy of Orientation Based on GIS.
CSO (2)
Qinghua Zhou, Bing He, Kun Wang
2009 — conf
The Results on the Stability of Glycolytic Metabolic Networks in Different Cells.
Complex (1)
Qinghua Zhou, Gang Peng, Li Jin, Momiao Xiong
2008 J jnl
Global Exponential Stability for a Class of impulsive integro-Differential equation.
Int. J. Bifurc. Chaos
Qinghua Zhou
2007 B conf
Dynamic flux balance analysis of metabolic networks using the penalty function methods.
SMC
Qinghua Zhou, Dan Wang, Momiao Xiong
2007 J jnl
Global Exponential Stability and Periodic oscillations of Reaction-diffusion BAM Neural Networks with Periodic Coefficients and General Delays.
Int. J. Bifurc. Chaos
Qinghua Zhou, Jianhua Sun, Guanrong Chen
2007 — conf
New Results on Energy Balance Analysis of Metabolic Networks.
PReMI
Qinghua Zhou, Simon C. K. Shiu, Sankar K. Pal, Yan Li