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ORCIDZiwei Fan
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2020 – today
- 2024
[j9]Mengxian Jia, Jiaxin Lai, Kan Li, Jiyang Chen, Kelun Huang, Chaohui Ding
, Ziwei Fan, Zongjie Yuan, Honglin Teng:
Optimizing prediction accuracy for early recurrent lumbar disc herniation with a directional mutation-guided SVM model. Comput. Biol. Medicine 173: 108297 (2024)- [j8]Yuanxin Lin, Zhiwen Yu, Kaixiang Yang, Ziwei Fan, C. L. Philip Chen:
Boosting Adaptive Weighted Broad Learning System for Multi-Label Learning. IEEE CAA J. Autom. Sinica 11(11): 2204-2219 (2024) - [c26]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 - [c25]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 - [c24]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 - [c23]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 - [i19]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
- [c22]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 - [c21]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 - [c20]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 - [c19]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 - [c18]Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang:
Personalized federated domain adaptation for item-to-item recommendation. UAI 2023: 560-570 - [c17]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. WWW 2023: 1375-1385 - [i18]Ziwei Fan, Alice Wang, Zahra Nazari:
Episodes Discovery Recommendation with Multi-Source Augmentations. CoRR abs/2301.01737 (2023) - [i17]Ziwei Fan, Zhiwei Liu, Hao Peng, Philip S. Yu:
Mutual Wasserstein Discrepancy Minimization for Sequential Recommendation. CoRR abs/2301.12197 (2023) - [i16]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) - [i15]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) - [i14]Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang:
Personalized Federated Domain Adaptation for Item-to-Item Recommendation. CoRR abs/2306.03191 (2023) - [i13]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) - [i12]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
- [j7]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Author Correction: Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 4(4): 413 (2022) - [j6]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) - [c16]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 - [c15]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 - [c14]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 - [i11]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) - [i10]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) - [i9]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
- [j5]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuansheng Zheng, Jianming Wang, Zhen Li, Carola Schönlieb, Tian Xia:
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence. Nat. Mach. Intell. 3(12): 1081-1089 (2021) - [c13]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 - [c12]Ziwei Fan, Zhiwei Liu, Shen Wang, Lei Zheng, Philip S. Yu:
Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation. CIKM 2021: 3019-3023 - [c11]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 - [c10]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 - [i8]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) - [i7]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) - [i6]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) - [i5]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) - [i4]Xiang Bai, Hanchen Wang, Liya Ma, Yongchao Xu, Jiefeng Gan, Ziwei Fan, Fan Yang, Ke Ma, Jiehua Yang, Song Bai, Chang Shu, Xinyu Zou, Renhao Huang, Changzheng Zhang, Xiaowu Liu, Dandan Tu, Chuou Xu, Wenqing Zhang, Xi Wang, Anguo Chen, Yu Zeng, Dehua Yang, Ming-Wei Wang, Nagaraj Holalkere, Neil J. Halin, Ihab R. Kamel, Jia Wu, Xuehua Peng, Xiang Wang, Jianbo Shao, Pattanasak Mongkolwat, Jianjun Zhang, Weiyang Liu, Michael Roberts, Zhongzhao Teng, Lucian Beer, Lorena Escudero Sanchez, Evis Sala, Daniel L. Rubin, Adrian Weller, Joan Lasenby, Chuangsheng Zheng, Jianming Wang, Zhen Li, Carola-Bibiane Schönlieb, Tian Xia:
Advancing COVID-19 Diagnosis with Privacy-Preserving Collaboration in Artificial Intelligence. CoRR abs/2111.09461 (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
- [c9]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
- [j4]Mu Ren, Ziwei Fan, Jianjun Wu, Li Zhou, Zhiping Du:
Design and Optimization of Underground Logistics Transportation Networks. IEEE Access 7: 83384-83395 (2019) - [j3]Ziwei Fan, Min Zhang, Zhenghua Li:
基于BiLSTM并结合自注意力机制和句法信息的隐式篇章关系分类 (BiLSTM-based Implicit Discourse Relation Classification Combining Self-attentionMechanism and Syntactic Information). 计算机科学 46(5): 214-220 (2019) - [j2]Xin Ming, Ziwei Fan, Yang-Li Xin, Xuan Zhang, Feng Shi, Shuo Pan, Jie Zhang, Zhuo Wang, Bo Zhang:
An Advanced Bootstrap Circuit for High Frequency, High Area-Efficiency and Low EMI Buck Converter. IEEE Trans. Circuits Syst. II Express Briefs 66-II(5): 858-862 (2019) - [c8]Xin Ming, Zhi-Wen Zhang, Ziwei Fan, Yao Qin, Yuan-Yuan Liu, Bo Zhang:
High Reliability GaN FET Gate Drivers for Next-generation Power Electronics Technology. ASICON 2019: 1-4 - [c7]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 - [c6]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 - 2018
- [j1]Xin Liu, Ziwei Fan, Guishu Liang, Tao Wang:
Calculation of Lightning Induced Overvoltages on Overhead Lines: Model and Interface With MATLAB/Simulink. IEEE Access 6: 47308-47318 (2018) - 2016
- [c5]Ziwei Fan, Zhenghua Li, Min Zhang:
Finding Arguments as Sequence Labeling in Discourse Parsing. CoNLL Shared Task 2016: 150-157 - [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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last updated on 2024-11-15 20:36 CET by the dblp team
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