Haohao Qu

According to our database, Haohao Qu authored at least 12 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Physics-Informed and Attention-Based Graph Learning Approach for Regional Electric Vehicle Charging Demand Prediction.

Haohao Qu, Haoxuan Kuang, Qiuxuan Wang, Jun Li, Linlin You

IEEE Trans. Intell. Transp. Syst., October, 2024

FMGCN: Federated Meta Learning-Augmented Graph Convolutional Network for EV Charging Demand Forecasting.

Linlin You, Qiyang Chen, Haohao Qu, Rui Zhu, Jinyue Yan, Paolo Santi, Carlo Ratti

IEEE Internet Things J., July, 2024

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension.

Xinnan Dai, Haohao Qu, Yifen Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan

CoRR, 2024

SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation.

Haohao Qu, Yifeng Zhang, Liangbo Ning, Wenqi Fan, Qing Li

CoRR, 2024

A Survey of Mamba.

Haohao Qu, Liangbo Ning, Rui An, Wenqi Fan, Tyler Derr, Hui Liu, Xin Xu, Qing Li

CoRR, 2024

TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation.

Haohao Qu, Wenqi Fan, Zihuai Zhao, Qing Li

CoRR, 2024

2023

An Integrated Approach for the Near Real-Time Parking Occupancy Prediction.

Jun Li, Haohao Qu, Linlin You

IEEE Trans. Intell. Transp. Syst., April, 2023

A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction.

Haohao Qu, Haoxuan Kuang, Jun Li, Linlin You

CoRR, 2023

2022

AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation.

Sheng Liu, Haohao Qu, Qiyang Chen, Weitao Jian, Rui Liu, Linlin You

Proceedings of the IEEE Smartworld, 2022

TWAFR-GRU: An Integrated Model for Real-time Charging Station Occupancy Prediction.

Qiyang Chen, Sheng Liu, Haohao Qu, Rui Zhu, Linlin You

Proceedings of the IEEE Smartworld, 2022

Improving Parking Occupancy Prediction in Poor Data Conditions Through Customization and Learning to Learn.

Haohao Qu, Sheng Liu, Zihan Guo, Linlin You, Jun Li

Proceedings of the Knowledge Science, Engineering and Management, 2022

Reinforcement Learning Based Incentive Mechanism for Federated Meta Learning: A Game-Theoretic Perspective.

Shenglv Zhang, Yuren Zhou, Haohao Qu, Yiting Zhu, Linlin You

Proceedings of the 34th IEEE International Conference on Tools with Artificial Intelligence, 2022