Automated brain tractography segmentation using curvature points. - Vedang Patel; Anand Parmar; Arnav Bhavsar; Aditya Nigam (ICVGIP, 2016)

Characterizing I/O optimization opportunities for array-centric applications on HDFS. - Donghe Kang; Vedang Patel; Kalyan Khandrika; Spyros Blanas; Yang Wang 009; Srinivasan Parthasarathy 001 (HPEC, 2018)

Spread Sampling and Its Applications on Graphs. - Yu Wang 001; Bortik Bandyopadhyay; Vedang Patel; Aniket Chakrabarti; David Sivakoff; Srinivasan Parthasarathy 001 (COMPLEX NETWORKS (1), 2019)

Henosis: workload-driven small array consolidation and placement for HDF5 applications on heterogeneous data stores. - Donghe Kang; Vedang Patel; Ashwati Nair; Spyros Blanas; Yang Wang 009; Srinivasan Parthasarathy 001 (ICS, 2019)

Network Representation Learning: Consolidation and Renewed Bearing. - Saket Gurukar; Priyesh Vijayan; Aakash Srinivasan; Goonmeet Bajaj; Chen Cai; Moniba Keymanesh; Saravana Kumar; Pranav Maneriker; Anasua Mitra; Vedang Patel; Balaraman Ravindran; Srinivasan Parthasarathy 001 (CoRR, 2019)

DrugDBEmbed : Semantic Queries on Relational Database using Supervised Column Encodings. - Bortik Bandyopadhyay; Pranav Maneriker; Vedang Patel; Saumya Yashmohini Sahai; Ping Zhang 016; Srinivasan Parthasarathy 001 (CoRR, 2020)

Benchmarking and Analyzing Unsupervised Network Representation Learning and the Illusion of Progress. - Saket Gurukar; Priyesh Vijayan; Srinivasan Parthasarathy 001; Balaraman Ravindran; Aakash Srinivasan; Goonmeet Bajaj; Chen Cai; Moniba Keymanesh; Saravana Kumar; Pranav Maneriker; Anasua Mitra; Vedang Patel (Trans. Mach. Learn. Res., 2022)