Haohao Qu

According to our database, Haohao Qu authored at least 18 papers between 2022 and 2025.

Collaborative distances:

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

2025

AFML: An Asynchronous Federated Meta-Learning Mechanism for Charging Station Occupancy Prediction With Biased and Isolated Data.

Qiyang Chen, Linlin You, Haohao Qu, Ahmed M. Abdelmoniem, Chau Yuen

IEEE Trans. Big Data, August, 2025

Generative Recommendation with Continuous-Token Diffusion.

Haohao Qu, Wenqi Fan, Shanru Lin

CoRR, April, 2025

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models.

Liangbo Ning, Ziran Liang, Zhuohang Jiang, Haohao Qu, Yujuan Ding, Wenqi Fan, Xiaoyong Wei, Shanru Lin, Hui Liu, Philip S. Yu, Qing Li

CoRR, March, 2025

Evaluating regional emergency response capabilities using entropy weight and matter-element extension theory.

Peijian Jin, Haohao Qu, Pengzhen Fan, Suling Ge

Int. J. Crit. Infrastructure Prot., 2025

Deep meta-learning approach for regional parking occupancy prediction considering heterogeneous and real-time information.

Haoxuan Kuang, Kunxiang Deng, Qiuxuan Wang, Wei Ye, Haohao Qu, Jun Li

Adv. Eng. Informatics, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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