DCODE: A Distributed Column-Oriented Database Engine for Big Data Analytics. - Yanchen Liu; Fang Cao; Masood S. Mortazavi; Mengmeng Chen; Ning Yan; Chi Ku; Aniket Adnaik; Stephen Morgan; Guangyu Shi; Yuhu Wang; Fan Fang (ICT-EurAsia/CONFENIS, 2015)

Simulating Aggregation Algorithms for Empirical Verification of Resilient and Adaptive Federated Learning. - Hongwei Jin; Ning Yan; Masood S. Mortazavi (BDCAT, 2020)

Discovering Localized Information for Heterogeneous Graph Node Representation Learning. - Lin Meng; Ning Yan; Masood S. Mortazavi; Jiawei Zhang 001 (CIC, 2020)

Speech-Image Semantic Alignment Does Not Depend on Any Prior Classification Tasks. - Masood S. Mortazavi (INTERSPEECH, 2020)

The Impact of Hole Geometry on Relative Robustness of In-Painting Networks: An Empirical Study. - Masood S. Mortazavi; Ning Yan (CoRR, 2020)

Fully Convolutional Scene Graph Generation. - Hengyue Liu; Ning Yan; Masood S. Mortazavi; Bir Bhanu (CVPR, 2021)

Theta-Resonance: A Single-Step Reinforcement Learning Method for Design Space Exploration. - Masood S. Mortazavi; Tiancheng Qin; Ning Yan (CoRR, 2022)

HetGPT: Harnessing the Power of Prompt Tuning in Pre-Trained Heterogeneous Graph Neural Networks. - Yihong Ma; Ning Yan; Jiayu Li 002; Masood S. Mortazavi; Nitesh V. Chawla (WWW, 2024)

ACC-ViT : Atrous Convolution's Comeback in Vision Transformers. - Nabil Ibtehaz; Ning Yan; Masood S. Mortazavi; Daisuke Kihara (CoRR, 2024)

Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction. - Nabil Ibtehaz; Masood S. Mortazavi (CoRR, 2024)

Fusion of regional and sparse attention in Vision Transformers. - Nabil Ibtehaz; Ning Yan; Masood S. Mortazavi; Daisuke Kihara (CoRR, 2024)

Enhancing Long Context Performance in LLMs Through Inner Loop Query Mechanism. - Yimin Tang; Yurong Xu; Ning Yan; Masood S. Mortazavi (CoRR, 2024)

LLM-driven Knowledge Distillation for Dynamic Text-Attributed Graphs. - Amit Roy; Ning Yan; Masood S. Mortazavi (CoRR, 2025)

CORE: Constraint-Aware One-Step Reinforcement Learning for Simulation-Guided Neural Network Accelerator Design. - Yifeng Xiao; Yurong Xu; Ning Yan; Masood S. Mortazavi; Pierluigi Nuzzo 002 (CoRR, 2025)