Arshdeep Sekhon

发表

Transfer Learning for Predicting Virus-Host Protein Interactions for Novel Virus Sequences

Yanjun Qi, Jack Lanchantin, Tom Weingarten, 2020, bioRxiv.

Transfer Learning with MotifTransformers for Predicting Protein-Protein Interactions Between a Novel Virus and Humans

Yanjun Qi, Jack Lanchantin, Arshdeep Sekhon, 2020 .

Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge

Yanjun Qi, Arshdeep Sekhon, Zhe Wang, 2020, AISTATS.

Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural Dependency Graph

Yanjun Qi, Arshdeep Sekhon, Zhe Wang, 2020 .

White-box Testing of NLP models with Mask Neuron Coverage

Matthew B. Dwyer, Yanjun Qi, Arshdeep Sekhon, 2022, NAACL-HLT.

DeepDiff: DEEP‐learning for predicting DIFFerential gene expression from histone modifications

Arshdeep Sekhon, Yanjun Qi, Ritambhara Singh, 2018, Bioinform..

GaKCo: a Fast Gapped k-mer string Kernel using Counting pdf

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2017, bioRxiv.

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing pdf

Arshdeep Sekhon, Hanjie Chen, Sanchit Sinha, 2021, BLACKBOXNLP.

Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification pdf

Arshdeep Sekhon, Yanjun Qi, Ritambhara Singh, 2017, ArXiv.

Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin

Arshdeep Sekhon, Yanjun Qi, Ritambhara Singh, 2017, bioRxiv.

Improving Interpretability via Explicit Word Interaction Graph Layer

Yanjun Qi, Arshdeep Sekhon, A. Shrivastava, 2023, AAAI.

Neural Message Passing for Multi-Label Classification

Arshdeep Sekhon, Yanjun Qi, Jack Lanchantin, 2019, ECML/PKDD.

One of the fundamental tasks in understanding genomics is the problem of predicting Transcription

Yanjun Qi, Ritambhara Singh, Arshdeep Sekhon, 2018 .

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2017, AISTATS.

Evolving Image Compositions for Feature Representation Learning

Vicente Ordonez, Yanjun Qi, Arshdeep Sekhon, 2021, BMVC.

Differential Network Learning Beyond Data Samples pdf

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2020, ArXiv.

Adding Extra Knowledge in Scalable Learning of Sparse Differential Gaussian Graphical Models

Beilun Wang, Arshdeep Sekhon, Yanjun Qi, 2019, bioRxiv.

A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models

Yanjun Qi, Beilun Wang, Arshdeep Sekhon, 2018, ICML.