| 2026 | ACL | Adaptive and Representative Multi-Interest Modeling for Recommendation with Large Language Model. | Ziyan Wang, Yingpeng Du, Tianjun Wei, Haoyan Chua, Jieyi Bi, Jie Zhang, Zhu Sun |
| 2026 | ACL | Mirroring Users: Towards Building Preference-aligned User Simulator with User Feedback in Recommendation. | Tianjun Wei, Huizhong Guo, Yingpeng Du, Zhu Sun, Huang Chen, Dongxia Wang, Jie Zhang |
| 2026 | KDD | Reinforcement Speculative Decoding for Fast Ranking. | Yingpeng Du, Tianjun Wei, Zhu Sun, Jie Zhang, Xun Jiang |
| 2026 | WWW | ONE-PASS: Single Forward Pass Decoding for Listwise Reranking. | Yingpeng Du, Zhu Sun, Tianjun Wei, Jie Zhang |
| 2026 | WWW | Orthogonal Meta-learning Boosted Bayesian Optimization for Uncertain Multi-Objective Recommendation. | Hongxu Wang, Yingpeng Du, Zhu Sun, Lu Zhang, Tiantian He, Yew-Soon Ong |
| 2026 | WWW | Dynamic Experts Synergy for Multi-Task Recommendation. | Haotian Wu, Yingpeng Du, Zhu Sun, Jie Zhang, Puay Siew Tan |
| 2026 | SIGIR | 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 |
| 2025 | AAAI | Active Large Language Model-Based Knowledge Distillation for Session-Based Recommendation. | Yingpeng Du, Zhu Sun, Ziyan Wang, Haoyan Chua, Jie Zhang, Yew-Soon Ong |
| 2025 | AAAI | Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation. | Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang |
| 2025 | WWW | Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. | Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong |
| 2024 | AAAI | Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks. | Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu, Hengshu Zhu, Yang Song, Jie Zhang |
| 2024 | APWEB | Bridging the Information Gap Between Domain-Specific Model and General LLM for Personalized Recommendation. | Wenxuan Zhang, Hongzhi Liu, Zhijin Dong, Yingpeng Du, Chen Zhu, Yang Song, Hengshu Zhu, Zhonghai Wu |
| 2024 | KDD | Disentangled Multi-interest Representation Learning for Sequential Recommendation. | Yingpeng Du, Ziyan Wang, Zhu Sun, Yining Ma, Hongzhi Liu, Jie Zhang |
| 2024 | KDD | Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. | Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong |
| 2024 | RecSys | Unified Denoising Training for Recommendation. | Haoyan Chua, Yingpeng Du, Zhu Sun, Ziyan Wang, Jie Zhang, Yew-Soon Ong |
| 2023 | DASFAA | Sequential Hypergraph Convolution Network for Next Item Recommendation. | Jiaxing Chen, Hongzhi Liu, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu |
| 2023 | ICDM | Bilateral Sequential Hypergraph Convolution Network for Reciprocal Recommendation. | Jiaxing Chen, Hongzhi Liu, Hongrui Guo, Yingpeng Du, Zekai Wang, Yang Song, Zhonghai Wu |
| 2022 | DASFAA | M | Yingpeng Du, Hongzhi Liu, Zhonghai Wu |
| 2021 | AAAI | Relation-Aware Neighborhood Matching Model for Entity Alignment. | Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du |
| 2021 | WWW | IFSpard: An Information Fusion-based Framework for Spam Review Detection. | Yao Zhu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu |
| 2019 | IJCAI | Unified Embedding Model over Heterogeneous Information Network for Personalized Recommendation. | Zekai Wang, Hongzhi Liu, Yingpeng Du, Zhonghai Wu, Xing Zhang |
| 2018 | APWEB | Collaborative Probability Metric Learning. | Hongzhi Liu, Yingpeng Du, Zhonghai Wu |
| 2018 | ICDM | Hierarchical Hybrid Feature Model for Top-N Context-Aware Recommendation. | Yingpeng Du, Hongzhi Liu, Zhonghai Wu, Xing Zhang |
| 2018 | PRICAI | Online Personalized Next-Item Recommendation via Long Short Term Preference Learning. | Yingpeng Du, Hongzhi Liu, Yuanhang Qu, Zhonghai Wu |
| 2018 | PRICAI | Reciprocal Ranking: A Hybrid Ranking Algorithm for Reciprocal Recommendation. | Yuanhang Qu, Hongzhi Liu, Yingpeng Du, Zhonghai Wu |