Learning Graph-based Disentangled Representations for Next POI Recommendation. - Zhaobo Wang; Yanmin Zhu 006; Haobing Liu 001; Chunyang Wang 001 (SIGIR, 2022)

Video2Force: Experiencing Object Motion in Video with Dynamic Force Feedback based on Bio-Inspired Sensing and Processing. - Guangxin Zhao; Zhaobo Wang; Xiaoming Chen 006; Zhicheng Lu; Yuk Ying Chung; Haisheng Li 002 (VR Workshops, 2022)

Graph-Enhanced Spatial-Temporal Network for Next POI Recommendation. - Zhaobo Wang; Yanmin Zhu 006; Qiaomei Zhang; Haobing Liu 001; Chunyang Wang 001; Tong Liu 001 (ACM Trans. Knowl. Discov. Data, 2022)

Multi-Interest Aware Graph Convolution Network for Social Recommendation. - Zhengyi Guo; Yanmin Zhu 006; Zhaobo Wang; Mengyuan Jing (ADMA (1), 2023)

Calibrating Popularity Bias Based on Quality for Recommendation Fairness. - Zhengyi Guo; Yanmin Zhu 006; Zhaobo Wang; Mengyuan Jing (ADMA (5), 2023)

Multi-scale Spin Convolutional Neural Network for Typhoon Intensity Prediction. - Longjie Li 006; Yanmin Zhu 006; Han Zhang; Mengyuan Jing; Haoyu Zhang; Zhaobo Wang; Tianzi Zang (ICPADS, 2023)

Recognizing Semantics-Consistent Subsequences for Sequential Recommendation. - Wenhui Zhu; Yanmin Zhu 006; Zhaobo Wang; Mengyuan Jing; Qinghua Chen (ICPADS, 2023)

A Preference Learning Decoupling Framework for User Cold-Start Recommendation. - Chunyang Wang 001; Yanmin Zhu 006; Aixin Sun; Zhaobo Wang; Ke Wang 038 (SIGIR, 2023)

Adaptive Graph Representation Learning for Next POI Recommendation. - Zhaobo Wang; Yanmin Zhu 006; Chunyang Wang 001; Wenze Ma; Bo Li 001; Jiadi Yu (SIGIR, 2023)

Guiding Graph Learning with Denoised Modality for Multi-modal Recommendation. - Yuexian Wang; Wenze Ma; Yanmin Zhu 006; Chunyang Wang 001; Zhaobo Wang; Feilong Tang; Jiadi Yu (DASFAA (6), 2024)

Rethinking Normals: Direction Guided Point Cloud Recognition. - Kuan Liu; Yanmin Zhu; Zhaobo Wang; Ke Wang; Gang Zhou (ICASSP, 2024)

Axis Order Invariance Learned from Point Clouds. - Kuan Liu; Yanmin Zhu; Zhaobo Wang; Ke Wang; Gang Zhou (ICASSP, 2024)

MADM: A Model-agnostic Denoising Module for Graph-based Social Recommendation. - Wenze Ma; Yuexian Wang; Yanmin Zhu 006; Zhaobo Wang; Mengyuan Jing; Xuhao Zhao; Jiadi Yu; Feilong Tang (WSDM, 2024)

Intention Knowledge Graph Construction for User Intention Relation Modeling. - Jiaxin Bai; Zhaobo Wang; Junfei Cheng; Dan Yu; Zerui Huang; Weiqi Wang 001; Xin Liu 039; Chen Luo 003; Qi He 002; Yanming Zhu; Bo Li 005; Yangqiu Song (CoRR, 2024)

Graph Diffusion-Based Representation Learning for Sequential Recommendation. - Zhaobo Wang; Yanmin Zhu 006; Chunyang Wang 001; Xuhao Zhao; Bo Li 001; Jiadi Yu; Feilong Tang (IEEE Trans. Knowl. Data Eng., 2024)

Towards Effective and Consistent Information Extraction for Social Recommendation: A Minimum and Sufficiency Perspective. - Wenze Ma; Yuexian Wang; Chenyu Sun; Yanmin Zhu 006; Zhaobo Wang; Xuhao Zhao; Jiadi Yu; Feilong Tang (ICMR, 2025)

Generating Difficulty-aware Negative Samples via Conditional Diffusion for Multi-modal Recommendation. - Wenze Ma; Chenyu Sun; Yanmin Zhu 006; Zhaobo Wang; Xuhao Zhao; Mengyuan Jing; Jiadi Yu; Feilong Tang (SIGIR, 2025)

Social Relation-Level Privacy Risks and Preservation in Social Recommender Systems. - Xuhao Zhao; Zhongrui Zhang; Yanmin Zhu 006; Zhaobo Wang; Wenze Ma; Jiadi Yu; Feilong Tang (SIGIR, 2025)

Direct position determination of multiple sources using a moving virtual interpolation array. - Zhaobo Wang; Hui Guo; Yingjie Miao; Jun Zhang (Digit. Signal Process., 2025)