| 2026 | EACL | Intention Knowledge Graph Construction for User Intention Relation Modeling. | Jiaxin Bai, Zhaobo Wang, Junfei Cheng, Dan Yu, Zerui Huang, Weiqi Wang, Xin Liu, Chen Luo, Yanming Zhu, Bo Li, Yangqiu Song |
| 2026 | WSDM | Adaptive Continual Learning with User-Incremental Forward Compatibility for Meta-Augmented Cold-Start Recommenders. | Chunyang Wang, Xuhao Zhao, Wenze Ma, Zhaobo Wang, Yanmin Zhu, Haobing Liu |
| 2025 | SIGIR | Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation. | Wenze Ma, Chenyu Sun, Yanmin Zhu, Zhaobo Wang, Xuhao Zhao, Mengyuan Jing, Jiadi Yu, Feilong Tang |
| 2025 | SIGIR | Social Relation-Level Privacy Risks and Preservation in Social Recommender Systems. | Xuhao Zhao, Zhongrui Zhang, Yanmin Zhu, Zhaobo Wang, Wenze Ma, Jiadi Yu, Feilong Tang |
| 2024 | DASFAA | Guiding Graph Learning with Denoised Modality for Multi-modal Recommendation. | Yuexian Wang, Wenze Ma, Yanmin Zhu, Chunyang Wang, Zhaobo Wang, Feilong Tang, Jiadi Yu |
| 2024 | ICASSP | Rethinking Normals: Direction Guided Point Cloud Recognition. | Kuan Liu, Yanmin Zhu, Zhaobo Wang, Ke Wang, Gang Zhou |
| 2024 | ICASSP | Axis Order Invariance Learned from Point Clouds. | Kuan Liu, Yanmin Zhu, Zhaobo Wang, Ke Wang, Gang Zhou |
| 2024 | WSDM | MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation. | Wenze Ma, Yuexian Wang, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Xuhao Zhao, Jiadi Yu, Feilong Tang |
| 2023 | ADMA | Multi-Interest Aware Graph Convolution Network for Social Recommendation. | Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing |
| 2023 | ADMA | Calibrating Popularity Bias Based on Quality for Recommendation Fairness. | Zhengyi Guo, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing |
| 2023 | ICPADS | Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction. | Longjie Li, Yanmin Zhu, Han Zhang, Mengyuan Jing, Haoyu Zhang, Zhaobo Wang, Tianzi Zang |
| 2023 | ICPADS | Recognizing Semantics-Consistent Subsequences for Sequential Recommendation. | Wenhui Zhu, Yanmin Zhu, Zhaobo Wang, Mengyuan Jing, Qinghua Chen |
| 2023 | SIGIR | A Preference Learning Decoupling Framework for User Cold-Start Recommendation. | Chunyang Wang, Yanmin Zhu, Aixin Sun, Zhaobo Wang, Ke Wang |
| 2023 | SIGIR | Adaptive Graph Representation Learning for Next POI Recommendation. | Zhaobo Wang, Yanmin Zhu, Chunyang Wang, Wenze Ma, Bo Li, Jiadi Yu |
| 2022 | SIGIR | Learning Graph-based Disentangled Representations for Next POI Recommendation. | Zhaobo Wang, Yanmin Zhu, Haobing Liu, Chunyang Wang |
| 2022 | VR | Video2Force: Experiencing Object Motion in Video with Dynamic Force Feedback based on Bio-Inspired Sensing and Processing. | Guangxin Zhao, Zhaobo Wang, Xiaoming Chen, Zhicheng Lu, Yuk Ying Chung, Haisheng Li |