Discriminative Model for Google Host Load Prediction with Rich Feature Set. - Peijie Huang; Dashu Ye; Ziwei Fan 001; Peisen Huang; Xuezhen Li (CCGRID, 2015)

Modeling the Task of Google MapReduce Workload. - Xiaoyang Lin; Piyuan Lin; Peijie Huang; Linxiao Chen; Ziwei Fan 001; Peisen Huang (CCGRID, 2015)

A feature generation framework for Google trace analysis. - Ziwei Fan 001; Peijie Huang; Peisen Huang; Linxiao Chen; Yu-Qing Xiao; Ming-Xiang Huo; Yu Liang (ICMLC, 2015)

Empirical evaluation of contextual combinations in recommendation system. - Ziwei Fan 001; Ying-Zhi Peng; Peijie Huang; Pi-Yuan Lin; Yi-Kui Chen; Zhen-Fa Chen; Kai-Yin Li (ICMLC, 2016)

Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering. - Ziwei Fan 001; Evan Burgun; Titus Schleyer; Xia Ning (ICHI, 2019)

Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. - Lei Zheng 001; Ziwei Fan 001; Chun-Ta Lu; Jiawei Zhang 001; Philip S. Yu (SIGIR, 2019)

Basket Recommendation with Multi-Intent Translation Graph Neural Network. - Zhiwei Liu 001; Xiaohan Li 001; Ziwei Fan 001; Stephen D. Guo; Kannan Achan; Philip S. Yu (IEEE BigData, 2020)

Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering. - Ziwei Fan 001; Evan Burgun; Zhiyun Ren; Titus Schleyer; Xia Ning (CoRR, 2020)

Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. - Ziwei Fan 001; Zhiwei Liu 001; Shen Wang 005; Lei Zheng 001; Philip S. Yu (CIKM, 2021)

Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Jiawei Zhang 001; Yun Xiong; Lei Zheng 001; Philip S. Yu (CIKM, 2021)

DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. - Yu Wang 158; Zhiwei Liu 001; Ziwei Fan 001; Lichao Sun 001; Philip S. Yu (CIKM, 2021)

Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. - Zhiwei Liu 001; Ziwei Fan 001; Yu Wang 158; Philip S. Yu (SIGIR, 2021)

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Chen Wang 052; Peijie Huang; Hao Peng 001; Philip S. Yu (IEEE Big Data, 2022)

Sequential Recommendation via Stochastic Self-Attention. - Ziwei Fan 001; Zhiwei Liu 001; Yu Wang 158; Alice Wang; Zahra Nazari; Lei Zheng 001; Hao Peng 001; Philip S. Yu (WWW, 2022)

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Liangwei Yang; Zhiwei Liu 001; Yu Wang 158; Chen Wang 052; Ziwei Fan 001; Philip S. Yu (WWW, 2022)

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. - Liangwei Yang; Zhiwei Liu 001; Yu Wang 158; Chen Wang 018; Ziwei Fan 001; Philip S. Yu (CoRR, 2022)

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. - Ziwei Fan 001; Zhiwei Liu 001; Chen Wang 018; Peijie Huang; Hao Peng 001; Philip S. Yu (CoRR, 2022)

Federated Social Recommendation with Graph Neural Network. - Zhiwei Liu 001; Liangwei Yang; Ziwei Fan 001; Hao Peng 001; Philip S. Yu (ACM Trans. Intell. Syst. Technol., 2022)

TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. - Shen Wang 005; Ziwei Fan 001; Jibing Gong; Xiaokai Wei; Philip S. Yu (IEEE Big Data, 2023)

Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. - Ziwei Fan 001; Zhiwei Liu 001; Shelby Heinecke; Jianguo Zhang 005; Huan Wang 016; Caiming Xiong; Philip S. Yu (CIKM, 2023)

IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. - Shen Wang 005; Ziwei Fan 001; Jibing Gong; Xiaokai Wei; Philip S. Yu (ICDM (Workshops), 2023)

Graph Collaborative Signals Denoising and Augmentation for Recommendation. - Ziwei Fan 001; Ke Xu; Zhang Dong; Hao Peng 001; Jiawei Zhang 001; Philip S. Yu (SIGIR, 2023)

Personalized federated domain adaptation for item-to-item recommendation. - Ziwei Fan 001; Hao Ding 003; Anoop Deoras; Trong Nghia Hoang (UAI, 2023)

Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. - Ziwei Fan 001; Zhiwei Liu 001; Hao Peng 001; Philip S. Yu (WWW, 2023)

Episodes Discovery Recommendation with Multi-Source Augmentations. - Ziwei Fan 001; Alice Wang; Zahra Nazari (CoRR, 2023)

Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. - Ziwei Fan 001; Zhiwei Liu 001; Hao Peng 001; Philip S. Yu (CoRR, 2023)

Reasoning and Planning with Large Language Models in Code Development. - Hao Ding 003; Ziwei Fan 001; Ingo Gühring; Gaurav Gupta; Wooseok Ha; Jun Huan; Linbo Liu; Behrooz Omidvar-Tehrani; Shiqi Wang 002; Hao Zhou 036 (KDD, 2024)

Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. - Chen Wang 052; Ziwei Fan 001; Liangwei Yang; Mingdai Yang; Xiaolong Liu; Zhiwei Liu 001; Philip S. Yu (KDD, 2024)

EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. - Henry Peng Zou; Gavin Heqing Yu; Ziwei Fan 001; Dan Bu; Han Liu; Peng Dai; Dongmei Jia; Cornelia Caragea (NAACL (Industry Track), 2024)

Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. - Behnam Rahdari; Hao Ding 003; Ziwei Fan 001; Yifei Ma; Zhuotong Chen; Anoop Deoras; Branislav Kveton (WSDM, 2024)

Lossless Token Sequence Compression via Meta-Tokens. - John Harvill; Ziwei Fan 001; Hao Wang 014; Yizhou Sun; Hao Ding 003; Luke Huan; Anoop Deoras (CoRR, 2025)