Reinforcement Learning Based Incentive Mechanism for Federated Meta Learning: A Game-Theoretic Perspective. - Shenglv Zhang; Yuren Zhou; Haohao Qu; Yiting Zhu; Linlin You (ICTAI, 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 105 (KSEM (1), 2022)

TWAFR-GRU: An Integrated Model for Real-time Charging Station Occupancy Prediction. - Qiyang Chen; Sheng Liu; Haohao Qu; Rui Zhu; Linlin You (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

AFMeta: Asynchronous Federated Meta-learning with Temporally Weighted Aggregation. - Sheng Liu; Haohao Qu; Qiyang Chen; Weitao Jian; Rui Liu 034; Linlin You (SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta, 2022)

A physics-informed and attention-based graph learning approach for regional electric vehicle charging demand prediction. - Haohao Qu; Haoxuan Kuang; Jun Li 105; Linlin You (CoRR, 2023)

An Integrated Approach for the Near Real-Time Parking Occupancy Prediction. - Jun Li 105; Haohao Qu; Linlin You (IEEE Trans. Intell. Transp. Syst., 2023)

TokenRec: Learning to Tokenize ID for LLM-based Generative Recommendation. - Haohao Qu; Wenqi Fan; Zihuai Zhao; Qing Li 001 (CoRR, 2024)

A Survey of Mamba. - Haohao Qu; Liangbo Ning 001; Rui An; Wenqi Fan; Tyler Derr; Hui Liu 031; Xin Xu 002; Qing Li 001 (CoRR, 2024)

SSD4Rec: A Structured State Space Duality Model for Efficient Sequential Recommendation. - Haohao Qu; Yifeng Zhang 007; Liangbo Ning 001; Wenqi Fan; Qing Li 001 (CoRR, 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 002; Jiliang Tang; Caihua Shan (CoRR, 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., 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 105; Linlin You (IEEE Trans. Intell. Transp. Syst., 2024)

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 002; Jiliang Tang; Caihua Shan (ICLR, 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 105 (Adv. Eng. Informatics, 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)

A Survey of WebAgents: Towards Next-Generation AI Agents for Web Automation with Large Foundation Models. - Liangbo Ning 001; Ziran Liang; Zhuohang Jiang; Haohao Qu; Yujuan Ding; Wenqi Fan; Xiaoyong Wei; Shanru Lin; Hui Liu 031; Philip S. Yu; Qing Li 001 (CoRR, 2025)

Generative Recommendation with Continuous-Token Diffusion. - Haohao Qu; Wenqi Fan; Shanru Lin (CoRR, 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, 2025)