| 2026 | AAAI | DRSoRec: Dual-Rectification of Social Networks for Recommendation. | Liangxun Yang, Tianzi Zang, Jiayi Sun, Juan Li, Yicong Li |
| 2025 | AAAI | Beyond Homophily: Graph Contrastive Learning with Macro-Micro Message Passing. | Yiyuan Chen, Donghai Guan, Weiwei Yuan, Tianzi Zang |
| 2025 | AAAI | A Multi-Focus-Driven Multi-Branch Network for Robust Multimodal Sentiment Analysis. | Chuanqi Tao, Jiaming Li, Tianzi Zang, Peng Gao |
| 2025 | DASFAA | FTDG: Fuzzing-Based Test Data Generation for Deep Neural Networks. | Ziqi Chen, Chuanqi Tao, Tianzi Zang, Hongjing Guo |
| 2024 | AAAI | Review-Enhanced Hierarchical Contrastive Learning for Recommendation. | Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing |
| 2024 | CIKM | Efficient and Secure Contribution Estimation in Vertical Federated Learning. | Juan Li, Rui Deng, Tianzi Zang, Mingqi Kong, Kun Zhu |
| 2024 | ICPADS | All Federated or Not: Optimizing Personal Model Performance in Cross-silo Federated Learning. | Juan Li, Yanmin Zhu, Jie Wu, Weifan Wu, Tianzi Zang, Liu Lu |
| 2024 | IJCNN | Federated Learning with Data-Free Distillation for Heterogeneity-Aware Autonomous Driving. | Junyao Liang, Juan Li, Ji Zhang, Tianzi Zang |
| 2024 | WCNC | Model Selection Based on DRL: Improving Personal Model Performance in Federated Learning. | Zishang Chen, Juan Li, Kun Zhu, Changyan Yi, Tianzi Zang |
| 2023 | DASFAA | Disentangled Contrastive Learning for Cross-Domain Recommendation. | Ruohan Zhang, Tianzi Zang, Yanmin Zhu, Chunyang Wang, Ke Wang, Jiadi Yu |
| 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 | Rating-Review Graph Contrastive Learning for Review-based Recommendation. | Jiacheng Shi, Yanmin Zhu, Ke Wang, Mengyuan Jing, Tianzi Zang, Jiadi Yu, Feilong Tang |
| 2023 | ICPADS | Dual Contrastive Learning for Multi-Behavior Recommendation. | Jiahui Wang, Yanmin Zhu, Mengyuan Jing, Tianzi Zang, Qinghua Chen |
| 2022 | DASFAA | Inter- and Intra-Domain Relation-Aware Heterogeneous Graph Convolutional Networks for Cross-Domain Recommendation. | Ke Wang, Yanmin Zhu, Haobing Liu, Tianzi Zang, Chunyang Wang, Kuan Liu |
| 2021 | CIKM | Enhancing User Interest Modeling with Knowledge-Enriched Itemsets for Sequential Recommendation. | Chunyang Wang, Yanmin Zhu, Haobing Liu, Wenze Ma, Tianzi Zang, Jiadi Yu |
| 2021 | DASFAA | Modeling Dynamic Social Behaviors with Time-Evolving Graphs for User Behavior Predictions. | Tianzi Zang, Yanmin Zhu, Chen Gong, Haobing Liu, Bo Li |
| 2021 | WSDM | Modeling Inter-station Relationships with Attentive Temporal Graph Convolutional Network for Air Quality Prediction. | Chunyang Wang, Yanmin Zhu, Tianzi Zang, Haobing Liu, Jiadi Yu |
| 2020 | CIKM | Jointly Modeling Individual Student Behaviors and Social Influence for Prediction Tasks. | Haobing Liu, Yanmin Zhu, Tianzi Zang, Jiadi Yu, Haibin Cai |
| 2020 | WISE | Modeling Local and Global Flow Aggregation for Traffic Flow Forecasting. | Yuan Qu, Yanmin Zhu, Tianzi Zang, Yanan Xu, Jiadi Yu |
| 2020 | WISE | Learning from Multiple Graphs of Student and Book Interactions for Campus Book Recommendation. | Qiaomei Zhang, Yanmin Zhu, Tianzi Zang, Jiadi Yu |