Lu Zhang

18 papers A* 3A 1Journal 13Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decentralized Next Point-of-Interest Recommendation Guided by Willingness to Share.
ACM Trans. Inf. Syst.
Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew-Soon Ong
2025 J jnl
Do We Really Need SFT? Prompt-as-Policy over Knowledge Graphs for Cold-start Next POI Recommendation.
CoRR
Jinze Wang, Lu Zhang, Yiyang Cui, Zhishu Shen, Xingjun Ma, Jiong Jin, Tiehua Zhang
2025 J jnl
From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting.
CoRR
Xin Cao, Qinghua Tao, Yingjie Zhou, Lu Zhang, Le Zhang, Dongjin Song, Dapeng Oliver Wu, Ce Zhu
2025 J jnl
From Dense to Sparse: Event Response for Enhanced Residential Load Forecasting.
IEEE Trans. Instrum. Meas.
Xin Cao, Qinghua Tao, Yingjie Zhou, Lu Zhang, Le Zhang, Dongjin Song, Dapeng Oliver Wu, Ce Zhu
2025 A conf
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation.
ICME
Jinze Wang, Tiehua Zhang, Lu Zhang, Yang Bai, Xin Li, Jiong Jin
2025 J jnl
HyperMAN: Hypergraph-enhanced Meta-learning Adaptive Network for Next POI Recommendation.
CoRR
Jinze Wang, Tiehua Zhang, Lu Zhang, Yang Bai, Xin Li, Jiong Jin
2025 J jnl
PCDe: A personalized conversational debiasing framework for next POI recommendation with uncertain check-ins.
Neural Networks
Chen Li, Guoyan Huang, Zhu Sun, Lu Zhang, Shanshan Feng, Guanfeng Liu
2025 J jnl
Towards spatial-temporal meta-hypergraph learning for multimodal few-shot fault diagnosis.
J. Ind. Inf. Integr.
Jinze Wang, Jiong Jin, Lu Zhang, Hong-Ning Dai, Adriano Di Pietro, Tiehua Zhang
2025 J jnl
Uncertain Multi-Objective Recommendation via Orthogonal Meta-Learning Enhanced Bayesian Optimization.
CoRR
Hongxu Wang, Zhu Sun, Yingpeng Du, Lu Zhang, Tiantian He, Yew-Soon Ong
2024 J jnl
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals.
ACM Trans. Inf. Syst.
Zhu Sun, Yu Lei, Lu Zhang, Chen Li, Yew-Soon Ong, Jie Zhang
2024 A* conf
An Empirical Analysis on Multi-turn Conversational Recommender Systems.
SIGIR
Lu Zhang, Chen Li, Yu Lei, Zhu Sun, Guanfeng Liu
2024 J jnl
MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation.
CoRR
Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew Soon Ong
2023 J jnl
Conversation-Based Adaptive Relational Translation Method for Next POI Recommendation With Uncertain Check-Ins.
IEEE Trans. Neural Networks Learn. Syst.
Lu Zhang, Zhu Sun, Jie Zhang, Yiwen Wu, Yunwen Xia
2023 — conf
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities.
PAKDD (3)
Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
2023 J jnl
Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities.
CoRR
Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong
2022 A* conf
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences.
IJCAI
Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
2022 J jnl
Point-of-Interest Recommendation for Users-Businesses With Uncertain Check-ins.
IEEE Trans. Knowl. Data Eng.
Zhu Sun, Chen Li, Yu Lei, Lu Zhang, Jie Zhang, Shunpan Liang
2020 A* conf
An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins.
IJCAI
Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner