IC-Data: Improving Compressed Data Processing in Hadoop. - Adnan Haider; Xi Yang 002; Ning Liu 008; Xian-He Sun; Shuibing He (HiPC, 2015)

A Heterogeneity-Aware Region-Level Data Layout for Hybrid Parallel File Systems. - Shuibing He; Xian-He Sun; Yang Wang 006; Antonis Kougkas; Adnan Haider (ICPP, 2015)

HAS: Heterogeneity-Aware Selective Data Layout Scheme for Parallel File Systems on Hybrid Servers. - Shuibing He; Xian-He Sun; Adnan Haider (IPDPS, 2015)

FatTreeSim: Modeling Large-scale Fat-Tree Networks for HPC Systems and Data Centers Using Parallel and Discrete Event Simulation. - Ning Liu 008; Adnan Haider; Xian-He Sun; Dong Jin (SIGSIM-PADS, 2015)

Sequence training of DNN acoustic models with natural gradient. - Adnan Haider; Philip C. Woodland (ASRU, 2017)

Modeling and Simulation of Extreme-Scale Fat-Tree Networks for HPC Systems and Data Centers. - Ning Liu 008; Adnan Haider; Dong Jin; Xian-He Sun (ACM Trans. Model. Comput. Simul., 2017)

Horizon: a multi-abstraction framework for graph analytics. - Adnan Haider; Fabio Checconi; Xinyu Que; Lars Schneidenbach; Daniele Buono; Xian-He Sun (CF, 2018)

Combining Natural Gradient with Hessian Free Methods for Sequence Training. - Adnan Haider; Philip C. Woodland (INTERSPEECH, 2018)

A Common Framework for Natural Gradient and Taylor based Optimisation using Manifold Theory. - Adnan Haider (CoRR, 2018)

Optimisation methods for training deep neural networks in speech recognition - Adnan Haider (2019)

Light-weighted ensemble network with multilevel activation visualization for robust diagnosis of COVID19 pneumonia from large-scale chest radiographic database. - Muhammad Owais; Hyo Sik Yoon; Tahir Mahmood 003; Adnan Haider; Haseeb Sultan; Kang Ryoung Park (Appl. Soft Comput., 2021)

A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training. - Adnan Haider; Chao Zhang 031; Florian L. Kreyssig; Philip C. Woodland (Neural Networks, 2021)

Multilevel Deep-Aggregated Boosted Network to Recognize COVID-19 Infection from Large-Scale Heterogeneous Radiographic Data. - Muhammad Owais; Young Won Lee; Tahir Mahmood 003; Adnan Haider; Haseeb Sultan; Kang Ryoung Park (IEEE J. Biomed. Health Informatics, 2021)

A Treatise On FST Lattice Based MMI Training. - Adnan Haider; Tim Ng; Zhen Huang 001; Xingyu Na; Antti-Veikko Rosti (CoRR, 2022)

Detecting retinal vasculature as a key biomarker for deep Learning-based intelligent screening and analysis of diabetic and hypertensive retinopathy. - Muhammad Arsalan; Adnan Haider; Young Won Lee; Kang Ryoung Park (Expert Syst. Appl., 2022)

Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images. - Adnan Haider; Muhammad Arsalan; Min Beom Lee; Muhammad Owais; Tahir Mahmood 003; Haseeb Sultan; Kang Ryoung Park (Expert Syst. Appl., 2022)

Deep Features Aggregation-Based Joint Segmentation of Cytoplasm and Nuclei in White Blood Cells. - Adnan Haider; Muhammad Arsalan; Young Won Lee; Kang Ryoung Park (IEEE J. Biomed. Health Informatics, 2022)

Multi-scale feature retention and aggregation for colorectal cancer diagnosis using gastrointestinal images. - Adnan Haider; Muhammad Arsalan; Se Hyun Nam; Jin Seong Hong; Haseeb Sultan; Kang Ryoung Park (Eng. Appl. Artif. Intell., 2023)

Exploring deep feature-blending capabilities to assist glaucoma screening. - Adnan Haider; Muhammad Arsalan; Chanhum Park; Haseeb Sultan; Kang Ryoung Park (Appl. Soft Comput., 2023)

Computer-aided fish assessment in an underwater marine environment using parallel and progressive spatial information fusion. - Adnan Haider; Muhammad Arsalan; Se Hyun Nam; Haseeb Sultan; Kang Ryoung Park (J. King Saud Univ. Comput. Inf. Sci., 2023)

MDFU-Net: Multiscale dilated features up-sampling network for accurate segmentation of tumor from heterogeneous brain data. - Haseeb Sultan; Muhammad Owais; Se Hyun Nam; Adnan Haider; Rehan Akram; Muhammad Usman; Kang Ryoung Park (J. King Saud Univ. Comput. Inf. Sci., 2023)

Multi-scale and multi-receptive field-based feature fusion for robust segmentation of plant disease and fruit using agricultural images. - Adnan Haider; Muhammad Arsalan; Jin Seong Hong; Haseeb Sultan; Nadeem Ullah; Kang Ryoung Park (Appl. Soft Comput., 2024)

Focused Discriminative Training For Streaming CTC-Trained Automatic Speech Recognition Models. - Adnan Haider; Xingyu Na; Erik McDermott; Tim Ng; Zhen Huang 001; Xiaodan Zhuang (CoRR, 2024)

Multiscale triplet spatial information fusion-based deep learning method to detect retinal pigment signs with fundus images. - Muhammad Arsalan; Adnan Haider; Chanhum Park; Jin Seong Hong; Kang Ryoung Park (Eng. Appl. Artif. Intell., 2024)

Delayed Fusion: Integrating Large Language Models into First-Pass Decoding in End-to-end Speech Recognition. - Takaaki Hori; Martin Kocour; Adnan Haider; Erik McDermott; Xiaodan Zhuang (ICASSP, 2025)

Enhancing keypoint detection in Y-Maze behavior test automation: introducing stadium heatmap and squared adaptive wing loss. - Gwanghee Lee; Adnan Haider; Hyojung Kim; Kyoungah Kim; KyoungSon Jhang (Multim. Tools Appl., 2025)