Ziwei Fan

44 papers A* 8A 6B 4Misc 2Journal 20Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Lossless Token Sequence Compression via Meta-Tokens.
CoRR
John Harvill, Ziwei Fan, Hao Wang, Yizhou Sun, Hao Ding, Luke Huan, Anoop Deoras
2024 — conf
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM.
NAACL (Industry Track)
Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea
2024 J jnl
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM.
CoRR
Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea
2024 A conf
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs.
WSDM
Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton
2024 A* conf
Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation.
KDD
Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu
2024 A* conf
Reasoning and Planning with Large Language Models in Code Development.
KDD
Hao Ding, Ziwei Fan, Ingo Gühring, Gaurav Gupta, Wooseok Ha, Jun Huan, Linbo Liu, Behrooz Omidvar-Tehrani, Shiqi Wang, Hao Zhou
2023 J jnl
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing.
CoRR
Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023 J jnl
Episodes Discovery Recommendation with Multi-Source Augmentations.
CoRR
Ziwei Fan, Alice Wang, Zahra Nazari
2023 A* conf
Graph Collaborative Signals Denoising and Augmentation for Recommendation.
SIGIR
Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023 J jnl
Graph Collaborative Signals Denoising and Augmentation for Recommendation.
CoRR
Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu
2023 — conf
IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items.
ICDM (Workshops)
Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
2023 J jnl
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs.
CoRR
Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton
2023 A* conf
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation.
WWW
Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023 J jnl
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation.
CoRR
Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu
2023 J jnl
Personalized Federated Domain Adaptation for Item-to-Item Recommendation.
CoRR
Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang
2023 A conf
Personalized federated domain adaptation for item-to-item recommendation.
UAI
Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang
2023 B conf
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network.
IEEE Big Data
Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu
2023 A conf
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.
CIKM
Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2023 J jnl
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training.
CoRR
Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu
2022 J jnl
Federated Social Recommendation with Graph Neural Network.
ACM Trans. Intell. Syst. Technol.
Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
2022 A* conf
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
WWW
Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022 J jnl
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network.
CoRR
Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu
2022 A* conf
Sequential Recommendation via Stochastic Self-Attention.
WWW
Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022 J jnl
Sequential Recommendation via Stochastic Self-Attention.
CoRR
Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu
2022 B conf
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
IEEE Big Data
Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
2022 J jnl
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer.
CoRR
Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu
2021 A* conf
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
SIGIR
Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
2021 J jnl
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer.
CoRR
Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu
2021 A conf
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.
CIKM
Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021 J jnl
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer.
CoRR
Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu
2021 A conf
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
CIKM
Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021 J jnl
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN.
CoRR
Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu
2021 J jnl
Federated Social Recommendation with Graph Neural Network.
CoRR
Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu
2021 A conf
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation.
CIKM
Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu
2021 J jnl
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation.
CoRR
Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang, Philip S. Yu
2020 — conf
Basket Recommendation with Multi-Intent Translation Graph Neural Network.
IEEE BigData
Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020 J jnl
Basket Recommendation with Multi-Intent Translation Graph Neural Network.
CoRR
Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu
2020 J jnl
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering.
CoRR
Ziwei Fan, Evan Burgun, Zhiyun Ren, Titus Schleyer, Xia Ning
2019 A* conf
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation.
SIGIR
Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
2019 — conf
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering.
ICHI
Ziwei Fan, Evan Burgun, Titus Schleyer, Xia Ning
2016 Misc conf
Empirical evaluation of contextual combinations in recommendation system.
ICMLC
Ziwei Fan, Ying-Zhi Peng, Peijie Huang, Pi-Yuan Lin, Yi-Kui Chen, Zhen-Fa Chen, Kai-Yin Li
2015 Misc conf
A feature generation framework for Google trace analysis.
ICMLC
Ziwei Fan, Peijie Huang, Peisen Huang, Linxiao Chen, Yu-Qing Xiao, Ming-Xiang Huo, Yu Liang
2015 B conf
Discriminative Model for Google Host Load Prediction with Rich Feature Set.
CCGRID
Peijie Huang, Dashu Ye, Ziwei Fan, Peisen Huang, Xuezhen Li
2015 B conf
Modeling the Task of Google MapReduce Workload.
CCGRID
Xiaoyang Lin, Piyuan Lin, Peijie Huang, Linxiao Chen, Ziwei Fan, Peisen Huang