Attend and Predict: Understanding Gene Regulation by Selective Attention on Chromatin. - Ritambhara Singh; Jack Lanchantin; Arshdeep Sekhon; Yanjun Qi (NIPS, 2017)

GaKCo: A Fast Gapped k-mer String Kernel Using Counting. - Ritambhara Singh; Arshdeep Sekhon; Kamran Kowsari; Jack Lanchantin; Beilun Wang; Yanjun Qi (ECML/PKDD (1), 2017)

Prototype Matching Networks for Large-Scale Multi-label Genomic Sequence Classification. - Jack Lanchantin; Arshdeep Sekhon; Ritambhara Singh; Yanjun Qi (CoRR, 2017)

Fast and Scalable Learning of Sparse Changes in High-Dimensional Gaussian Graphical Model Structure. - Beilun Wang; Arshdeep Sekhon; Yanjun Qi (AISTATS, 2018)

A Fast and Scalable Joint Estimator for Integrating Additional Knowledge in Learning Multiple Related Sparse Gaussian Graphical Models. - Beilun Wang; Arshdeep Sekhon; Yanjun Qi (ICML, 2018)

DeepDiff: DEEP-learning for predicting DIFFerential gene expression from histone modifications. - Arshdeep Sekhon; Ritambhara Singh; Yanjun Qi (Bioinform., 2018)

Neural Message Passing for Multi-label Classification. - Jack Lanchantin; Arshdeep Sekhon; Yanjun Qi (ECML/PKDD (2), 2019)

Differential Network Learning Beyond Data Samples. - Arshdeep Sekhon; Beilun Wang; Zhe Wang 025; Yanjun Qi (CoRR, 2020)

Transfer learning for predicting virus-host protein interactions for novel virus sequences. - Jack Lanchantin; Tom Weingarten; Arshdeep Sekhon; Clint Miller; Yanjun Qi (BCB, 2021)

Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing. - Sanchit Sinha; Hanjie Chen; Arshdeep Sekhon; Yangfeng Ji; Yanjun Qi (BlackboxNLP@EMNLP, 2021)

Evolving Image Compositions for Feature Representation Learning. - Paola Cascante-Bonilla; Arshdeep Sekhon; Yanjun Qi; Vicente Ordonez (BMVC, 2021)

Relate and Predict: Structure-Aware Prediction with Jointly Optimized Neural DAG. - Arshdeep Sekhon; Zhe Wang 025; Yanjun Qi (CoRR, 2021)

Beyond Data Samples: Aligning Differential Networks Estimation with Scientific Knowledge. - Arshdeep Sekhon; Zhe Wang 025; Yanjun Qi (AISTATS, 2022)

White-box Testing of NLP models with Mask Neuron Coverage. - Arshdeep Sekhon; Yangfeng Ji; Matthew B. Dwyer; Yanjun Qi (NAACL-HLT (Findings), 2022)

ST-MAML : A stochastic-task based method for task-heterogeneous meta-learning. - Zhe Wang 025; Jake Grigsby; Arshdeep Sekhon; Yanjun Qi (UAI, 2022)

Improving Interpretability via Explicit Word Interaction Graph Layer. - Arshdeep Sekhon; Hanjie Chen; Aman Shrivastava; Zhe Wang 025; Yangfeng Ji; Yanjun Qi (AAAI, 2023)

Does Prompt Formatting Have Any Impact on LLM Performance? - Jia He; Mukund Rungta; David Koleczek; Arshdeep Sekhon; Franklin X. Wang; Sadid Hasan (CoRR, 2024)

Rockhopper: A Robust Optimizer for Spark Configuration Tuning in Production Environment. - Yiwen Zhu; Rathijit Sen; Brian Kroth; Sergiy Matusevych; Andreas C. Mueller; Tengfei Huang; Rahul Challapalli; Weihan Tang; Xin He; Mo Liu 003; Estera Kot; Sule Kahraman; et al. (SIGMOD Conference Companion, 2025)