Md. Atik Ahamed

19 papers A* 1A 1Journal 14Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
CausalGenDiff: Generative causal diffusion bridges scRNA-seq and spatial transcriptomics.
J. Biomed. Informatics
Rabeya Tus Sadia, Md. Atik Ahamed, Qiang Cheng
2026 A* conf
RefiDiff: Progressive Refinement Diffusion for Efficient Missing Data Imputation.
AAAI
Md. Atik Ahamed, Qiang Ye, Qiang Cheng
2025 — conf
CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation.
KDD (2)
Rabeya Tus Sadia, Md. Atik Ahamed, Qiang Cheng
2025 J jnl
CausalGeD: Blending Causality and Diffusion for Spatial Gene Expression Generation.
CoRR
Rabeya Tus Sadia, Md. Atik Ahamed, Qiang Cheng
2025 J jnl
Detection of Breast Cancer Lumpectomy Margin with SAM-incorporated Forward-Forward Contrastive Learning.
CoRR
Tyler Ward, Xiaoqin Wang, Braxton McFarland, Md. Atik Ahamed, Sahar Nozad, Talal Arshad, Hafsa Nebbache, Jin Chen, Abdullah-Al-Zubaer Imran
2025 J jnl
GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture.
CoRR
Md. Atik Ahamed, Andrew Cheng, Qiang Ye, Qiang Shawn Cheng
2025 J jnl
Low-dose computed tomography perceptual image quality assessment.
Medical Image Anal.
Wonkyeong Lee, Fabian Wagner, Adrian Galdran, Yongyi Shi, Wenjun Xia, Ge Wang, Xuanqin Mou, Md. Atik Ahamed, Abdullah-Al-Zubaer Imran, Ji Eun Oh, Kyungsang Kim, Jong Tak Baek, Dongheon Lee, Boohwi Hong, Philip Tempelman, Donghang Lyu, Adrian Kuiper, Lars van Blokland, Maria Baldeon Calisto, Scott S. Hsieh, Minah Han, Jongduk Baek, Andreas Maier, Adam S. Wang, Garry Evan Gold, Jang-Hwan Choi
2025 J jnl
Mol-CADiff: Causality-Aware Autoregressive Diffusion for Molecule Generation.
CoRR
Md. Atik Ahamed, Qiang Ye, Qiang Shawn Cheng
2025 J jnl
MolSnap: Snap-Fast Molecular Generation with Latent Variational Mean Flow.
CoRR
Md. Atik Ahamed, Qiang Ye, Qiang Cheng
2025 J jnl
RefiDiff: Refinement-Aware Diffusion for Efficient Missing Data Imputation.
CoRR
Md. Atik Ahamed, Qiang Ye, Qiang Cheng
2025 J jnl
TSCMamba: Mamba meets multi-view learning for time series classification.
Inf. Fusion
Md. Atik Ahamed, Qiang Cheng
2024 — conf
MambaTab: A Plug-and-Play Model for Learning Tabular Data.
MIPR
Md. Atik Ahamed, Qiang Shawn Cheng
2024 J jnl
MambaTab: A Simple Yet Effective Approach for Handling Tabular Data.
CoRR
Md. Atik Ahamed, Qiang Cheng
2024 J jnl
TSCMamba: Mamba Meets Multi-View Learning for Time Series Classification.
CoRR
Md. Atik Ahamed, Qiang Cheng
2024 A conf
TimeMachine: A Time Series is Worth 4 Mambas for Long-Term Forecasting.
ECAI
Md. Atik Ahamed, Qiang Shawn Cheng
2024 J jnl
TimeMachine: A Time Series is Worth 4 Mambas for Long-term Forecasting.
CoRR
Md. Atik Ahamed, Qiang Cheng
2023 J jnl
Forward-Forward Contrastive Learning.
CoRR
Md. Atik Ahamed, Jin Chen, Abdullah-Al-Zubaer Imran
2022 J jnl
Examining the behaviour of state-of-the-art convolutional neural networks for brain tumor detection with and without transfer learning.
CoRR
Md. Atik Ahamed, Rabeya Tus Sadia
2022 — conf
Joint Learning with Local and Global Consistency for Improved Medical Image Segmentation.
MIUA
Md. Atik Ahamed, Abdullah-Al-Zubaer Imran