Paper-Conference

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

Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang

ONE-PASS: Single Forward Pass Decoding for Listwise Reranking

Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang

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

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

Pay Attention to Sequence Split：Uncovering the Impacts of Sub-Sequence Splitting on Sequential Recommendation Models

Yizhou Dang, Yifan Wu, Minhan Huang, Chuang Zhao, Lianbo Ma, Guibing Guo, Xingwei Wang, Zhu Sun

Personalization Matters: Benchmarking ML, DL and LLMs for Mental Health Forecasting from Smartphone Sensing Data

Kaidong Feng, Zhu Sun, Roy Ka-Wei Lee, Xun Jiang, Yin-Leng Theng, Yi Ding

Reinforcement Speculative Decoding for Fast Ranking

Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang

Think When Needed：Model-Aware Reasoning Routing for LLM-based Ranking

Huizhong Guo, Tianjun Wei, Dongxia Wang, Yingpeng Du, Ziyan Wang, Jie Zhang, Zhu Sun

Active Large Language Model-based Knowledge Distillation for Session-based Recommendation

Large language models (LLMs) provide a promising way for accurate session-based recommendation (SBR), but they demand substantial …

Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong

Enhancing New-item Fairness in Dynamic Recommender Systems

“New-items play a crucial role in recommender systems (RSs) for delivering fresh and engaging user experiences. However, …

Huizhong Guo, Zhu Sun, Dongxia Wang, Tianjun Wei, Jinfeng Li, Jie Zhang

LightKG: Efficient Knowledge-Aware Recommendations with Simplified GNN Architecture

‘Recently, Graph Neural Networks (GNNs) have become the dominant approach for Knowledge Graph-aware Recommender Systems (KGRSs) …

Yanhui Li, Dongxia Wang, Zhu Sun, Haonan Zhang, Huizhong Guo