AARef: Exploiting Authorship Identifiers of Micro-Messages with Refinement Blocks. - Sarp Aykent; Gerry V. Dozier (ICMLA, 2020)

Author Identification of Micro-Messages via Multi-Channel Convolutional Neural Networks. - Sarp Aykent; Gerry V. Dozier (SMC, 2020)

GBPNet: Universal Geometric Representation Learning on Protein Structures. - Sarp Aykent; Tian Xia 006 (KDD, 2022)

Constrained Market Share Maximization by Signal-Guided Optimization. - Bo Hui 001; Yuchen Fang 001; Tian Xia 006; Sarp Aykent; Wei-Shinn Ku (AAAI, 2023)

Exploring the Anonymity of Social Media Users Using Micro-messages. - Sarp Aykent; Cheryl D. Seals (HCI (15), 2023)

SaVeNet: A Scalable Vector Network for Enhanced Molecular Representation Learning. - Sarp Aykent; Tian Xia 006 (NeurIPS, 2023)

Extrinsic-Intrinsic Representation Learning Framework for Drug Discovery. - Tian Xia 006; Sarp Aykent; Wei-Shinn Ku (SDM, 2023)

SO(3) Equivariant Framework for Spatial Networks. - Tian Xia 006; Sarp Aykent (IEEE Big Data, 2024)

SE(3) Equivariant Neural Network for 3D Graphs. - Sarp Aykent; Tian Xia 006 (IEEE Big Data, 2024)

GotenNet: Rethinking Efficient 3D Equivariant Graph Neural Networks. - Sarp Aykent; Tian Xia 006 (ICLR, 2025)