21 citations · 34 across the 9 of their papers we have counts for
20 papers
Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction
Yan Yang, Md Zakir Hossain, Eric A Stone +1
Spatial transcriptomics (ST) is essential for understanding diseases and developing novel treatments. It measures gene expression of each fine-grained area (i.e., different windows…
Less is More: Facial Landmarks can Recognize a Spontaneous Smile
Md. Tahrim Faroque, Yan Yang, Md Zakir Hossain +3
Smile veracity classification is a task of interpreting social interactions. Broadly, it distinguishes between spontaneous and posed smiles. Previous approaches used hand-engineere…
Prompt-guided Scene Generation for 3D Zero-Shot Learning
Majid Nasiri, Ali Cheraghian, Townim Faisal Chowdhury +3
Zero-shot learning on 3D point cloud data is a related underexplored problem compared to its 2D image counterpart. 3D data brings new challenges for ZSL due to the unavailability o…
Rethinking Task-Incremental Learning Baselines
Md Sazzad Hossain, Pritom Saha, Townim Faisal Chowdhury +3
It is common to have continuous streams of new data that need to be introduced in the system in real-world applications. The model needs to learn newly added capabilities (future t…
DPST: De Novo Peptide Sequencing with Amino-Acid-Aware Transformers
Yan Yang, Zakir Hossain, Khandaker Asif +3
De novo peptide sequencing aims to recover amino acid sequences of a peptide from tandem mass spectrometry (MS) data. Existing approaches for de novo analysis enumerate MS evidence…
Learning without Forgetting for 3D Point Cloud Objects
Townim Chowdhury, Mahira Jalisha, Ali Cheraghian +1
When we fine-tune a well-trained deep learning model for a new set of classes, the network learns new concepts but gradually forgets the knowledge of old training. In some real-lif…