Haoye Lu - RankMe

28 papers A* 3A 1B 2Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	World of Workflows: a Benchmark for Bringing World Models to Enterprise Systems. CoRR Lakshya Gupta, Litao Li, Yizhe Liu, Sriram Ganapathi Subramanian, Kaheer Suleman, Zichen Zhang, Haoye Lu, Sumit Pasupalak
2025	A	`conf`	Diffusion Models under Group Transformations. AISTATS Haoye Lu, Spencer Szabados, Yaoliang Yu
2025	J	`jnl`	SCOPE: Language Models as One-Time Teacher for Hierarchical Planning in Text Environments. CoRR Haoye Lu, Pavan Seshadri, Kaheer Suleman
2025	J	`jnl`	SFBD Flow: A Continuous-Optimization Framework for Training Diffusion Models with Noisy Samples. CoRR Haoye Lu, Darren Lo, Yaoliang Yu
2025	J	`jnl`	SFBD-OMNI: Bridge models for lossy measurement restoration with limited clean samples. CoRR Haoye Lu, Yaoliang Yu, Darren Ho
2025	A*	`conf`	Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets. ICML Haoye Lu, Qifan Wu, Yaoliang Yu
2025	J	`jnl`	Stochastic Forward-Backward Deconvolution: Training Diffusion Models with Finite Noisy Datasets. CoRR Haoye Lu, Qifan Wu, Yaoliang Yu
2024	J	`jnl`	Structure Preserving Diffusion Models. CoRR Haoye Lu, Spencer Szabados, Yaoliang Yu
2023	J	`jnl`	A GNN-based proactive caching strategy in NDN networks. Peer Peer Netw. Appl. Jiacheng Hou, Haoye Lu, Amiya Nayak
2023	B	`conf`	An Optimized GNN-Based Caching Scheme for SDN-Based Information-Centric Networks. GLOBECOM Jiacheng Hou, Tianhao Tao, Haoye Lu, Amiya Nayak
2023	J	`jnl`	Intelligent Caching with Graph Neural Network-Based Deep Reinforcement Learning on SDN-Based ICN. Future Internet Jiacheng Hou, Tianhao Tao, Haoye Lu, Amiya Nayak
2023	A*	`conf`	Multi-Objective Reinforcement Learning: Convexity, Stationarity and Pareto Optimality. ICLR Haoye Lu, Daniel Herman, Yaoliang Yu
2022	J	`jnl`	A Graph Neural Network Approach for Caching Performance Optimization in NDN Networks. IEEE Access Jiacheng Hou, Huanzhang Xia, Haoye Lu, Amiya Nayak
2021	B	`conf`	A GNN-based Approach to Optimize Cache Hit Ratio in NDN Networks. GLOBECOM Jiacheng Hou, Huanzhang Xia, Haoye Lu, Amiya Nayak
2021	J	`jnl`	A Spam Transformer Model for SMS Spam Detection. IEEE Access Xiaoxu Liu, Haoye Lu, Amiya Nayak
2021	A*	`conf`	On the Dynamics of Training Attention Models. ICLR Haoye Lu, Yongyi Mao, Amiya Nayak
2020	J	`jnl`	A Deep Neural Network for Audio Classification with a Classifier Attention Mechanism. CoRR Haoye Lu, Haolong Zhang, Amit Nayak
2020	J	`jnl`	On the Dynamics of Training Attention Models. CoRR Haoye Lu, Yongyi Mao, Amiya Nayak
2020	J	`jnl`	Periodic Time Series Data Analysis by Deep Learning Methodology. IEEE Access Haolong Zhang, Haoye Lu, Amiya Nayak
2019	J	`jnl`	A Scheme to Design Community Detection Algorithms in Various Networks. Future Internet Haoye Lu, Amiya Nayak
2019	—	`conf`	Periodic Time Series Data Classification By Deep Neural Network. ICT Haolong Zhang, Amit Nayak, Haoye Lu
2018	J	`jnl`	A General Definition of Network Communities and the Corresponding Detection Algorithm. CoRR Haoye Lu, Amiya Nayak
2018	—	`conf`	A Hierarchical Approach to Handle Inter-domain Mobility in SDN-based Networks using Mobile IP. ICT Modhawi Alotaibi, Haoye Lu, Amiya Nayak
2018	J	`jnl`	No-Key Semi-Quantum Direct Communication Protocol with Low Quantum Resource Requirements. CoRR Haoye Lu, Michel Barbeau, Amiya Nayak
2018	—	`conf`	Performance Evaluation of Community Detection Algorithms Based on Relationship Strength Measurement. ICUFN Soom Behera, Haoye Lu, Amiya Nayak
2018	—	`conf`	Period Detection and Future Trend Prediction Using Machine Learning Techniques. iThings/GreenCom/CPSCom/SmartData Haoye Lu, Anand Srinivasan, Amiya Nayak
2017	—	`conf`	Economic No-Key Semi-Quantum Direct Communication Protocol. GLOBECOM Workshops Haoye Lu, Michel Barbeau, Amiya Nayak
2017	—	`conf`	Learning automata based method for solving demand and supply problem with periodic behaviors. IEEE BigData Haoye Lu, Anand Srinivasan, Amiya Nayak