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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.dagstuhl.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
- Jiawei Chen 0010 — Xidian University, School of Cyber Engineering, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Jiawei Chen 0011 — Institute of Software, Chinese Academy of Sciences, China
- Jiawei Chen 0012 — Fudan University, China
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2020 – today
- 2024
[j16]Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He:
How graph convolutions amplify popularity bias for recommendation? Frontiers Comput. Sci. 18(5): 185603 (2024)- [j15]Jiawei Chen, Pengyu Song, Chunhui Zhao:
Multi-scale self-supervised representation learning with temporal alignment for multi-rate time series modeling. Pattern Recognit. 145: 109943 (2024) - [j14]Weizhi Nie, Xin Wen, Jing Liu, Jiawei Chen, Jiancan Wu, Guoqing Jin, Jing Lu, An-An Liu:
Knowledge-Enhanced Causal Reinforcement Learning Model for Interactive Recommendation. IEEE Trans. Multim. 26: 1129-1142 (2024) - [j13]Chongming Gao, Shiqi Wang, Shijun Li, Jiawei Chen, Xiangnan He, Wenqiang Lei, Biao Li, Yuan Zhang, Peng Jiang:
CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. ACM Trans. Inf. Syst. 42(1): 14:1-14:27 (2024) - [j12]Jiancan Wu, Xiang Wang, Xingyu Gao, Jiawei Chen, Hongcheng Fu, Tianyu Qiu:
On the Effectiveness of Sampled Softmax Loss for Item Recommendation. ACM Trans. Inf. Syst. 42(4): 98:1-98:26 (2024) - [c32]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang:
BSL: Understanding and Improving Softmax Loss for Recommendation. ICDE 2024: 816-830 - [c31]Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang:
EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. SIGIR 2024: 977-987 - [c30]Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang:
SIGformer: Sign-aware Graph Transformer for Recommendation. SIGIR 2024: 1274-1284 - [c29]Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang:
Distributionally Robust Graph-based Recommendation System. WWW 2024: 3777-3788 - [i45]Wujie Sun, Defang Chen, Jiawei Chen, Yan Feng, Chun Chen, Can Wang:
Knowledge Translation: A New Pathway for Model Compression. CoRR abs/2401.05772 (2024) - [i44]Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang:
Distributionally Robust Graph-based Recommendation System. CoRR abs/2402.12994 (2024) - [i43]Yuanqing Yu, Chongming Gao, Jiawei Chen, Heng Tang, Yuefeng Sun, Qian Chen, Weizhi Ma, Min Zhang:
EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems. CoRR abs/2402.15164 (2024) - [i42]Sirui Chen, Jiawei Chen, Sheng Zhou, Bohao Wang, Shen Han, Chanfei Su, Yuqing Yuan, Can Wang:
SIGformer: Sign-aware Graph Transformer for Recommendation. CoRR abs/2404.11982 (2024) - [i41]Siyi Lin, Chongming Gao, Jiawei Chen, Sheng Zhou, Binbin Hu, Can Wang:
How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. CoRR abs/2404.12008 (2024) - [i40]Zhuonan Zheng, Yuanchen Bei, Sheng Zhou, Yao Ma, Ming Gu, Hongjia Xu, Chengyu Lai, Jiawei Chen, Jiajun Bu:
Revisiting the Message Passing in Heterophilous Graph Neural Networks. CoRR abs/2405.17768 (2024) - [i39]Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu:
Towards a Unified Framework of Clustering-based Anomaly Detection. CoRR abs/2406.00452 (2024) - [i38]Chengyu Lai, Sheng Zhou, Zhimeng Jiang, Qiaoyu Tan, Yuanchen Bei, Jiawei Chen, Ningyu Zhang, Jiajun Bu:
Better Late Than Never: Formulating and Benchmarking Recommendation Editing. CoRR abs/2406.04553 (2024) - [i37]Zhiyao Zhou, Sheng Zhou, Bochao Mao, Jiawei Chen, Qingyun Sun, Yan Feng, Chun Chen, Can Wang:
Motif-driven Subgraph Structure Learning for Graph Classification. CoRR abs/2406.08897 (2024) - [i36]Junkang Wu, Yuexiang Xie, Zhengyi Yang, Jiancan Wu, Jiawei Chen, Jinyang Gao, Bolin Ding, Xiang Wang, Xiangnan He:
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. CoRR abs/2407.07880 (2024) - [i35]Zhe Wang, Sheng Zhou, Jiawei Chen, Zhen Zhang, Binbin Hu, Yan Feng, Chun Chen, Can Wang:
Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. CoRR abs/2407.16959 (2024) - [i34]Bohao Wang, Feng Liu, Jiawei Chen, Yudi Wu, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang:
LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. CoRR abs/2408.08208 (2024) - 2023
- [j11]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j10]Jiawei Chen, Pengyu Song, Chunhui Zhao, Jinliang Ding:
Spatiotemporal Multiscale Correlation Embedding With Process Variable Reorder for Industrial Soft Sensing. IEEE Trans. Instrum. Meas. 72: 1-10 (2023) - [j9]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) - [j8]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. IEEE Trans. Knowl. Data Eng. 35(10): 9920-9931 (2023) - [j7]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) - [j6]Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. 41(3): 67:1-67:39 (2023) - [c28]Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen:
Robust Sequence Networked Submodular Maximization. AAAI 2023: 15100-15108 - [c27]Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu:
Homophily-enhanced Structure Learning for Graph Clustering. CIKM 2023: 577-586 - [c26]Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang:
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CIKM 2023: 2321-2330 - [c25]Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He:
Discriminative-Invariant Representation Learning for Unbiased Recommendation. IJCAI 2023: 2270-2278 - [c24]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He:
Understanding Contrastive Learning via Distributionally Robust Optimization. NeurIPS 2023 - [c23]Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang:
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. NeurIPS 2023 - [c22]Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He:
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. SIGIR 2023: 238-248 - [c21]Zhengyi Yang, Xiangnan He, Jizhi Zhang, Jiancan Wu, Xin Xin, Jiawei Chen, Xiang Wang:
A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. SIGIR 2023: 331-340 - [c20]Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He:
Unbiased Knowledge Distillation for Recommendation. WSDM 2023: 976-984 - [c19]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 - [c18]Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He:
Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. WWW 2023: 1085-1096 - [i33]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) - [i32]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) - [i31]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) - [i30]Jiajia Chen, Jiancan Wu, Jiawei Chen, Xin Xin, Yong Li, Xiangnan He:
How Graph Convolutions Amplify Popularity Bias for Recommendation? CoRR abs/2305.14886 (2023) - [i29]Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen:
OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. CoRR abs/2306.10280 (2023) - [i28]Chongming Gao, Kexin Huang, Jiawei Chen, Yuan Zhang, Biao Li, Peng Jiang, Shiqi Wang, Zhong Zhang, Xiangnan He:
Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. CoRR abs/2307.04571 (2023) - [i27]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i26]Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu:
Homophily-enhanced Structure Learning for Graph Clustering. CoRR abs/2308.05309 (2023) - [i25]Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang:
CDR: Conservative Doubly Robust Learning for Debiased Recommendation. CoRR abs/2308.08461 (2023) - [i24]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Xiang Wang, Xiangnan He:
Understanding Contrastive Learning via Distributionally Robust Optimization. CoRR abs/2310.11048 (2023) - [i23]Junkang Wu, Jiawei Chen, Jiancan Wu, Wentao Shi, Jizhi Zhang, Xiang Wang:
BSL: Understanding and Improving Softmax Loss for Recommendation. CoRR abs/2312.12882 (2023) - 2022
- [c17]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 - [c16]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 - [c15]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) - [c14]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 - [c13]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 - [c12]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 - [c11]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 - [c10]Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He:
Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. RecSys 2021: 825-827 - [c9]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 - [c8]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
- [c7]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 - [c6]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 - [c5]Jiawei Chen, Chunhui Zhao, Youxian Sun:
Sparse Causal Residual Neural Network for Linear and Nonlinear Concurrent Causal Inference and Root Cause Diagnosis. ICARCV 2020: 1182-1187 - [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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