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ORCIDJiawei Chen 0007
Person information
- affiliation: University of Science and Technology of China, School of Information Science and Technology, Hefei, China
- affiliation (PhD 2020): Zhejiang University, LianlianPay Joint Research Center, Hangzhou, China
Other persons with the same name
- Jiawei Chen (aka: Jia-Wei Chen) — disambiguation page
- Jiawei Chen 0001
![[0000-0002-8195-1582]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-8195-1582")
— Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xi'an, China - Jiawei Chen 0002 — Chongqing University, School of Automation, Key Laboratory of Complex System Safety and Control, Chongqing, China (and 2 more)
- Jiawei Chen 0003 — Pennsylvania State University, University Park, PA, USA
- Jiawei Chen 0004 — Southwest University, School of Mathematics and Statistics, Chongqing, China
- Jiawei Chen 0005 — Beijing Normal University, School of Systems Science, Beijing, China
- Jiawei Chen 0006 — Boston Univeristy, Boston, MA, USA
- Jiawei Chen 0008 — South China University of Technology (SCUT), Guangzhou, China
- Jiawei Chen 0009 — Tencent Jarvis Lab, Shenzhen, China
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2020 – today
- 2023
[j7]Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker++: Recommendation With Informative Sampling Strategy. IEEE Trans. Knowl. Data Eng. 35(2): 2004-2018 (2023)- [j6]Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie:
Time-aware Path Reasoning on Knowledge Graph for Recommendation. ACM Trans. Inf. Syst. 41(2): 26:1-26:26 (2023) - [c19]Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He:
Unbiased Knowledge Distillation for Recommendation. WSDM 2023: 976-984 - [c18]Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He:
On the Theories Behind Hard Negative Sampling for Recommendation. WWW 2023: 812-822 - [c17]Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He:
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW 2023: 1085-1096 - [i25]Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He:
On the Theories Behind Hard Negative Sampling for Recommendation. CoRR abs/2302.03472 (2023) - [i24]Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He:
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. CoRR abs/2302.04088 (2023) - [i23]Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He:
Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. CoRR abs/2302.04775 (2023) - 2022
- [c16]Chongming Gao, Shijun Li, Wenqiang Lei, Jiawei Chen, Biao Li, Peng Jiang, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. CIKM 2022: 540-550 - [c15]Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CIKM 2022: 3953-3957 - [c14]Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He:
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. WWW 2022: 256-265 - [i22]Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu, Xiangnan He:
On the Effectiveness of Sampled Softmax Loss for Item Recommendation. CoRR abs/2201.02327 (2022) - [i21]Liang Chen, Qibiao Peng, Jintang Li, Yang Liu, Jiawei Chen, Yong Li, Zibin Zheng:
Neighboring Backdoor Attacks on Graph Convolutional Network. CoRR abs/2201.06202 (2022) - [i20]Dian Cheng, Jiawei Chen, Wenjun Peng, Wenqin Ye, Fuyu Lv, Tao Zhuang, Xiaoyi Zeng, Xiangnan He:
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. CoRR abs/2202.04972 (2022) - [i19]Chongming Gao, Shijun Li, Wenqiang Lei, Biao Li, Peng Jiang, Jiawei Chen, Xiangnan He, Jiaxin Mao, Tat-Seng Chua:
KuaiRec: A Fully-observed Dataset for Recommender Systems. CoRR abs/2202.10842 (2022) - [i18]Chongming Gao, Wenqiang Lei, Jiawei Chen, Shiqi Wang, Xiangnan He, Shijun Li, Biao Li, Yuan Zhang, Peng Jiang:
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. CoRR abs/2204.01266 (2022) - [i17]Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester:
A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. CoRR abs/2206.07579 (2022) - [i16]Chongming Gao, Shijun Li, Yuan Zhang, Jiawei Chen, Biao Li, Wenqiang Lei, Peng Jiang, Xiangnan He:
KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. CoRR abs/2208.08696 (2022) - [i15]Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He:
Unbiased Knowledge Distillation for Recommendation. CoRR abs/2211.14729 (2022) - [i14]Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen:
Robust Sequence Networked Submodular Maximization. CoRR abs/2212.13725 (2022) - 2021
- [j5]Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Yanhao Huang:
Profit maximization for competitive social advertising. Theor. Comput. Sci. 868: 12-29 (2021) - [j4]Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He:
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. ACM Trans. Inf. Syst. 39(3): 34:1-34:24 (2021) - [c13]Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He:
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CIKM 2021: 2140-2149 - [c12]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. CIKM 2021: 4253-4263 - [c11]Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu:
Distilling Holistic Knowledge with Graph Neural Networks. ICCV 2021: 10367-10376 - [c10]Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He:
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. KDD 2021: 1791-1800 - [c9]Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He:
Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. RecSys 2021: 825-827 - [c8]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. SIGIR 2021: 21-30 - [c7]Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui:
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. WWW 2021: 3651-3662 - [i13]Jiawei Chen, Hande Dong, Yang Qiu, Xiangnan He, Xin Xin, Liang Chen, Guli Lin, Keping Yang:
AutoDebias: Learning to Debias for Recommendation. CoRR abs/2105.04170 (2021) - [i12]Xu Xie, Zhaoyang Liu, Shiwen Wu, Fei Sun, Cihang Liu, Jiawei Chen, Jinyang Gao, Bin Cui, Bolin Ding:
CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. CoRR abs/2105.13881 (2021) - [i11]Yuyue Zhao, Xiang Wang, Jiawei Chen, Wei Tang, Yashen Wang, Xiangnan He, Haiyong Xie:
Time-aware Path Reasoning on Knowledge Graph for Recommendation. CoRR abs/2108.02634 (2021) - [i10]Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu:
Distilling Holistic Knowledge with Graph Neural Networks. CoRR abs/2108.05507 (2021) - [i9]Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He:
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CoRR abs/2108.09628 (2021) - [i8]Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu:
Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. CoRR abs/2109.07946 (2021) - 2020
- [c6]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. AAAI 2020: 3470-3477 - [c5]Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang:
DGE: Deep Generative Network Embedding Based on Commonality and Individuality. AAAI 2020: 6949-6956 - [i7]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen:
Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. CoRR abs/2003.01892 (2020) - [i6]Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. CoRR abs/2010.03240 (2020) - [i5]Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui:
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. CoRR abs/2010.12408 (2020) - [i4]Tianxin Wei, Fuli Feng, Jiawei Chen, Chufeng Shi, Ziwei Wu, Jinfeng Yi, Xiangnan He:
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. CoRR abs/2010.15363 (2020) - [i3]Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker++: recommendation with informative sampling strategy. CoRR abs/2011.07734 (2020) - [i2]Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He:
CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. CoRR abs/2011.07739 (2020)
2010 – 2019
- 2019
- [j3]Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen:
Post and repost: A holistic view of budgeted influence maximization. Neurocomputing 338: 92-100 (2019) - [j2]Jiawei Chen, Can Wang, Qihao Shi, Yan Feng, Chun Chen:
Social recommendation based on users' attention and preference. Neurocomputing 341: 1-9 (2019) - [j1]Qihao Shi, Can Wang, Jiawei Chen, Yan Feng, Chun Chen:
Location driven influence maximization: Online spread via offline deployment. Knowl. Based Syst. 166: 30-41 (2019) - [c4]Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Yan Feng, Chun Chen:
Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies. ICDE 2019: 1502-1513 - [c3]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker: Social Recommendation with Informative Sampling Strategy. WWW 2019: 228-239 - [i1]Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang:
HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. CoRR abs/1902.01475 (2019) - 2018
- [c2]Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang:
Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. CIKM 2018: 953-962 - [c1]Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen:
Social Recommendation with Missing Not at Random Data. ICDM 2018: 29-38
Coauthor Index
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last updated on 2023-06-06 23:53 CEST by the dblp team
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