Learning automata based method for solving demand and supply problem with periodic behaviors. - Haoye Lu; Anand Srinivasan; Amiya Nayak (IEEE BigData, 2017)

Economic No-Key Semi-Quantum Direct Communication Protocol. - Haoye Lu; Michel Barbeau; Amiya Nayak (GLOBECOM Workshops, 2017)

A Hierarchical Approach to Handle Inter-domain Mobility in SDN-based Networks using Mobile IP. - Modhawi Alotaibi; Haoye Lu; Amiya Nayak (ICT, 2018)

Performance Evaluation of Community Detection Algorithms Based on Relationship Strength Measurement. - Soom Behera; Haoye Lu; Amiya Nayak (ICUFN, 2018)

Period Detection and Future Trend Prediction Using Machine Learning Techniques. - Haoye Lu; Anand Srinivasan; Amiya Nayak (iThings/GreenCom/CPSCom/SmartData, 2018)

A General Definition of Network Communities and the Corresponding Detection Algorithm. - Haoye Lu; Amiya Nayak (CoRR, 2018)

No-Key Semi-Quantum Direct Communication Protocol with Low Quantum Resource Requirements. - Haoye Lu; Michel Barbeau; Amiya Nayak (CoRR, 2018)

Periodic Time Series Data Classification By Deep Neural Network. - Haolong Zhang; Amit Nayak; Haoye Lu (ICT, 2019)

A Scheme to Design Community Detection Algorithms in Various Networks. - Haoye Lu; Amiya Nayak (Future Internet, 2019)

Periodic Time Series Data Analysis by Deep Learning Methodology. - Haolong Zhang; Haoye Lu; Amiya Nayak (IEEE Access, 2020)

A Deep Neural Network for Audio Classification with a Classifier Attention Mechanism. - Haoye Lu; Haolong Zhang; Amit Nayak (CoRR, 2020)

A GNN-based Approach to Optimize Cache Hit Ratio in NDN Networks. - Jiacheng Hou; Huanzhang Xia; Haoye Lu; Amiya Nayak (GLOBECOM, 2021)

On the Dynamics of Training Attention Models. - Haoye Lu; Yongyi Mao; Amiya Nayak (ICLR, 2021)

A Spam Transformer Model for SMS Spam Detection. - Xiaoxu Liu; Haoye Lu; Amiya Nayak (IEEE Access, 2021)

A Graph Neural Network Approach for Caching Performance Optimization in NDN Networks. - Jiacheng Hou; Huanzhang Xia; Haoye Lu; Amiya Nayak (IEEE Access, 2022)

An Optimized GNN-Based Caching Scheme for SDN-Based Information-Centric Networks. - Jiacheng Hou; Tianhao Tao; Haoye Lu; Amiya Nayak (GLOBECOM, 2023)

Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality. - Haoye Lu; Daniel Herman; Yaoliang Yu (ICLR, 2023)

Intelligent Caching with Graph Neural Network-Based Deep Reinforcement Learning on SDN-Based ICN. - Jiacheng Hou; Tianhao Tao; Haoye Lu; Amiya Nayak (Future Internet, 2023)

A GNN-based proactive caching strategy in NDN networks. - Jiacheng Hou; Haoye Lu; Amiya Nayak (Peer Peer Netw. Appl., 2023)

Structure Preserving Diffusion Models. - Haoye Lu; Spencer Szabados; Yaoliang Yu (CoRR, 2024)

Diffusion Models under Group Transformations. - Haoye Lu; Spencer Szabados; Yaoliang Yu (AISTATS, 2025)

Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets. - Haoye Lu; Qifan Wu; Yaoliang Yu (CoRR, 2025)

SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples. - Haoye Lu; Darren Lo; Yaoliang Yu (CoRR, 2025)