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ORCIDZiwei Fan 0001
Person information
- affiliation: Amazon, Santa Clara, CA, USA
- affiliation (Ph.D.): University of Illinois at Chicago, IL, USA
Other persons with the same name
- Ziwei Fan — disambiguation page
- Ziwei Fan 0002 — The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, Zhejiang, China
- Ziwei Fan 0003
![[0009-0003-7167-6446]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0009-0003-7167-6446")
— South China University of Technology, Guangzhou, China - Ziwei Fan 0004 — Baidu
- Ziwei Fan 0005 — Huazhong University of Science and Technology, Wuhan, China
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2020 – today
- 2024
[c24]Chen Wang, Ziwei Fan, Liangwei Yang, Mingdai Yang, Xiaolong Liu, Zhiwei Liu, Philip S. Yu:
Pre-Training with Transferable Attention for Addressing Market Shifts in Cross-Market Sequential Recommendation. KDD 2024: 2970-2979- [c23]Hao Ding, Ziwei Fan, Ingo Gühring, Gaurav Gupta, Wooseok Ha, Jun Huan, Linbo Liu, Behrooz Omidvar-Tehrani, Shiqi Wang, Hao Zhou:
Reasoning and Planning with Large Language Models in Code Development. KDD 2024: 6480-6490 - [c22]Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea:
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. NAACL (Industry Track) 2024: 453-463 - [c21]Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton:
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. WSDM 2024: 1078-1081 - [i18]Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea:
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. CoRR abs/2404.08886 (2024) - 2023
- [c20]Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
TRANSGNN: Towards Knowledge Enhanced Top-K Recommendation via Transformed Heterogeneous Graph Neural Network. IEEE Big Data 2023: 304-314 - [c19]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CIKM 2023: 483-493 - [c18]Shen Wang, Ziwei Fan, Jibing Gong, Xiaokai Wei, Philip S. Yu:
IGCN: Item Influence Enhanced Graph Convolution Networks for Recommendation of Cold-Start Items. ICDM (Workshops) 2023: 1516-1525 - [c17]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. SIGIR 2023: 2037-2041 - [c16]Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang:
Personalized federated domain adaptation for item-to-item recommendation. UAI 2023: 560-570 - [c15]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. WWW 2023: 1375-1385 - [i17]Ziwei Fan, Alice Wang, Zahra Nazari:
Episodes Discovery Recommendation with Multi-Source Augmentations. CoRR abs/2301.01737 (2023) - [i16]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. CoRR abs/2301.12197 (2023) - [i15]Ziwei Fan, Ke Xu, Zhang Dong, Hao Peng, Jiawei Zhang, Philip S. Yu:
Graph Collaborative Signals Denoising and Augmentation for Recommendation. CoRR abs/2304.03344 (2023) - [i14]Ziwei Fan, Zhiwei Liu, Shelby Heinecke, Jianguo Zhang, Huan Wang, Caiming Xiong, Philip S. Yu:
Zero-shot Item-based Recommendation via Multi-task Product Knowledge Graph Pre-Training. CoRR abs/2305.07633 (2023) - [i13]Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang:
Personalized Federated Domain Adaptation for Item-to-Item Recommendation. CoRR abs/2306.03191 (2023) - [i12]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Addressing the Rank Degeneration in Sequential Recommendation via Singular Spectrum Smoothing. CoRR abs/2306.11986 (2023) - [i11]Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton:
Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. CoRR abs/2312.14345 (2023) - 2022
- [j1]Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu:
Federated Social Recommendation with Graph Neural Network. ACM Trans. Intell. Syst. Technol. 13(4): 55:1-55:24 (2022) - [c14]Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu:
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. IEEE Big Data 2022: 525-534 - [c13]Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu:
Sequential Recommendation via Stochastic Self-Attention. WWW 2022: 2036-2047 - [c12]Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu:
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. WWW 2022: 3376-3386 - [i10]Ziwei Fan, Zhiwei Liu, Yu Wang, Alice Wang, Zahra Nazari, Lei Zheng, Hao Peng, Philip S. Yu:
Sequential Recommendation via Stochastic Self-Attention. CoRR abs/2201.06035 (2022) - [i9]Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu:
Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network. CoRR abs/2202.03392 (2022) - [i8]Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu:
Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer. CoRR abs/2210.13572 (2022) - 2021
- [c11]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CIKM 2021: 433-442 - [c10]Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CIKM 2021: 3019-3023 - [c9]Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CIKM 2021: 3513-3517 - [c8]Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu:
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. SIGIR 2021: 1608-1612 - [i7]Zhiwei Liu, Ziwei Fan, Yu Wang, Philip S. Yu:
Augmenting Sequential Recommendation with Pseudo-Prior Items via Reversely Pre-training Transformer. CoRR abs/2105.00522 (2021) - [i6]Ziwei Fan, Zhiwei Liu, Lei Zheng, Shen Wang, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CoRR abs/2106.06165 (2021) - [i5]Ziwei Fan, Zhiwei Liu, Jiawei Zhang, Yun Xiong, Lei Zheng, Philip S. Yu:
Continuous-Time Sequential Recommendation with Temporal Graph Collaborative Transformer. CoRR abs/2108.06625 (2021) - [i4]Yu Wang, Zhiwei Liu, Ziwei Fan, Lichao Sun, Philip S. Yu:
DSKReG: Differentiable Sampling on Knowledge Graph for Recommendation with Relational GNN. CoRR abs/2108.11883 (2021) - [i3]Zhiwei Liu, Liangwei Yang, Ziwei Fan, Hao Peng, Philip S. Yu:
Federated Social Recommendation with Graph Neural Network. CoRR abs/2111.10778 (2021) - 2020
- [c7]Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
Basket Recommendation with Multi-Intent Translation Graph Neural Network. IEEE BigData 2020: 728-737 - [i2]Ziwei Fan, Evan Burgun, Zhiyun Ren, Titus Schleyer, Xia Ning:
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering. CoRR abs/2008.05399 (2020) - [i1]Zhiwei Liu, Xiaohan Li, Ziwei Fan, Stephen D. Guo, Kannan Achan, Philip S. Yu:
Basket Recommendation with Multi-Intent Translation Graph Neural Network. CoRR abs/2010.11419 (2020)
2010 – 2019
- 2019
- [c6]Ziwei Fan, Evan Burgun, Titus Schleyer, Xia Ning:
Improving information retrieval from electronic health records using dynamic and multi-collaborative filtering. ICHI 2019: 1-3 - [c5]Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu:
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR 2019: 1077-1080 - 2016
- [c4]Ziwei Fan, Ying-Zhi Peng, Peijie Huang, Pi-Yuan Lin, Yi-Kui Chen, Zhen-Fa Chen, Kai-Yin Li:
Empirical evaluation of contextual combinations in recommendation system. ICMLC 2016: 720-725 - 2015
- [c3]Peijie Huang, Dashu Ye, Ziwei Fan, Peisen Huang, Xuezhen Li:
Discriminative Model for Google Host Load Prediction with Rich Feature Set. CCGRID 2015: 1193-1196 - [c2]Xiaoyang Lin, Piyuan Lin, Peijie Huang, Linxiao Chen, Ziwei Fan, Peisen Huang:
Modeling the Task of Google MapReduce Workload. CCGRID 2015: 1229-1232 - [c1]Ziwei Fan, Peijie Huang, Peisen Huang, Linxiao Chen, Yu-Qing Xiao, Ming-Xiang Huo, Yu Liang:
A feature generation framework for Google trace analysis. ICMLC 2015: 229-234
Coauthor Index
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