Lu Zhang

According to our database, Lu Zhang authored at least 19 papers between 2020 and 2026.

Collaborative distances:

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

2026

Meta-Modal Agent: Sequential Evidence Routing for Missing-Modality Candidate Reranking.

Jinze Wang, Yangchen Zeng, Tiehua Zhang, Lu Zhang, Yuze Liu, Zhishu Shen, Jiong Jin, Zhu Sun

CoRR, May, 2026

Agent4POI: Agentic Context-Conditioned Affordance Reasoning for Multimodal Point-of-Interest Recommendation.

Jinze Wang, Yangchen Zeng, Tiehua Zhang, Lu Zhang, Yuze Liu, Yongchao Liu, Xingjun Ma, Zhu Sun

CoRR, May, 2026

SeesawNet: Towards Non-stationary Time Series Forecasting with Balanced Modeling of Common and Specific Dependencies.

Hao Li, Lu Zhang, Liu Chong, Yankai Chen, Pengyang Wang, Yingjie Zhou

CoRR, May, 2026

Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share.

Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew-Soon Ong

ACM Trans. Inf. Syst., January, 2026

Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation.

Hongxu Wang, Yingpeng Du, Zhu Sun, Lu Zhang, Tiantian He, Yew-Soon Ong

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation.

Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew Soon Ong

Proceedings of the 34th ACM Conference on User Modeling, Adaptation and Personalization, 2026

2025

Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation.

Jinze Wang, Lu Zhang, Yiyang Cui, Zhishu Shen, Xingjun Ma, Jiong Jin, Tiehua Zhang

CoRR, October, 2025

Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization.

Hongxu Wang, Zhu Sun, Yingpeng Du, Lu Zhang, Tiantian He, Yew-Soon Ong

CoRR, February, 2025

From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting.

Xin Cao, Qinghua Tao, Yingjie Zhou, Lu Zhang, Le Zhang, Dongjin Song, Dapeng Oliver Wu, Ce Zhu

IEEE Trans. Instrum. Meas., 2025

PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins.

Chen Li, Guoyan Huang, Zhu Sun, Lu Zhang, Shanshan Feng, Guanfeng Liu

Neural Networks, 2025

Towards spatial-temporal meta-hypergraph learning for multimodal few-shot fault diagnosis.

Jinze Wang, Jiong Jin, Lu Zhang, Hong-Ning Dai, Adriano Di Pietro, Tiehua Zhang

J. Ind. Inf. Integr., 2025

HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation.

Jinze Wang, Tiehua Zhang, Lu Zhang, Yang Bai, Xin Li, Jiong Jin

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024

A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals.

Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang

ACM Trans. Inf. Syst., January, 2024

An Empirical Analysis on Multi-turn Conversational Recommender Systems.

Lu Zhang, Chen Li, Yu Lei, Zhu Sun, Guanfeng Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

2023

Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins.

Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu, Yunwen Xia

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities.

Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

2022

Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins.

Zhu Sun, Chen Li, Yu Lei, Lu Zhang, Jie Zhang, Shunpan Liang

IEEE Trans. Knowl. Data Eng., 2022

Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences.

Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2020

An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins.

Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020