| 2026 | ISKE | Adaptive Semi-supervised Ensemble for Tumor Data Classification. | Guojie Li, Ziwei Fan, Jiahao Liang, Zhiwen Yu |
| 2025 | ISNN | Semi-supervised Multi-view Learning with Graph-Based Consistent Feature Fusion. | Guojie Li, Zhiwen Yu, Ziwei Fan, Kaixiang Yang |
| 2024 | KDD | Reasoning and Planning with Large Language Models in Code Development. | Hao Ding, Ziwei Fan, Ingo Ghring, Gaurav Gupta, Wooseok Ha, Jun Huan, Linbo Liu, Behrooz Omidvar-Tehrani, Shiqi Wang, Hao Zhou |
| 2024 | KDD | Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. | Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu |
| 2024 | NAACL | EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. | Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea |
| 2024 | WSDM | Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. | Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton |
| 2023 | CIKM | Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. | Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu |
| 2023 | ICDM | IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. | Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu |
| 2023 | WWW | Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. | Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu |
| 2023 | SIGIR | Graph Collaborative Signals Denoising and Augmentation for Recommendation. | Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu |
| 2023 | UAI | Personalized federated domain adaptation for item-to-item recommendation. | Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang |
| 2022 | WWW | Sequential Recommendation via Stochastic Self-Attention. | Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu |
| 2022 | WWW | Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. | Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu |
| 2021 | CIKM | Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. | Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu |
| 2021 | CIKM | Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. | Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu |
| 2021 | CIKM | DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. | Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu |
| 2021 | SIGIR | Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. | Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu |
| 2019 | SIGIR | Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. | Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu |
| 2016 | CoNLL | Finding Arguments as Sequence Labeling in Discourse Parsing. | Ziwei Fan, Zhenghua Li, Min Zhang |
| 2016 | ICMLC | Empirical evaluation of contextual combinations in recommendation system. | Ziwei Fan, Ying-Zhi Peng, Peijie Huang, Pi-Yuan Lin, Yi-Kui Chen, Zhen-Fa Chen, Kai-Yin Li |
| 2015 | CCGRID | Discriminative Model for Google Host Load Prediction with Rich Feature Set. | Peijie Huang, Dashu Ye, Ziwei Fan, Peisen Huang, Xuezhen Li |
| 2015 | CCGRID | Modeling the Task of Google MapReduce Workload. | Xiaoyang Lin, Piyuan Lin, Peijie Huang, Linxiao Chen, Ziwei Fan, Peisen Huang |
| 2015 | ICMLC | A feature generation framework for Google trace analysis. | Ziwei Fan, Peijie Huang, Peisen Huang, Linxiao Chen, Yu-Qing Xiao, Ming-Xiang Huo, Yu Liang |