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Yan Feng
Publications
- 2024
- [j101]Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen:
Online adversarial knowledge distillation for graph neural networks. Expert Syst. Appl. 237(Part C): 121671 (2024) - [i29]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) - 2023
- [j89]Yangguang Zhang, Can Wang, Qihao Shi, Yan Feng, Chun Chen:
Adversarial gradient-based meta learning with metric-based test. Knowl. Based Syst. 263: 110312 (2023) - [j77]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) - [j76]Can Wang, Defang Chen, Jian-Ping Mei, Yuan Zhang, Yan Feng, Chun Chen:
SemCKD: Semantic Calibration for Cross-Layer Knowledge Distillation. IEEE Trans. Knowl. Data Eng. 35(6): 6305-6319 (2023) - [c78]Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen:
Robust Sequence Networked Submodular Maximization. AAAI 2023: 15100-15108 - [c74]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 - [c72]Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen:
Holistic Weighted Distillation for Semantic Segmentation. ICME 2023: 396-401 - [c71]Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen:
Accelerating Diffusion Sampling with Classifier-based Feature Distillation. ICME 2023: 810-815 - [c66]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 - [i24]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) - [i21]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) - 2022
- [c65]Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen:
Knowledge Distillation with the Reused Teacher Classifier. CVPR 2022: 11923-11932 - [c58]Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen:
Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding. WWW 2022: 1631-1639 - [i20]Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen:
Knowledge Distillation with the Reused Teacher Classifier. CoRR abs/2203.14001 (2022) - [i19]Zhehui Zhou, Defang Chen, Can Wang, Yan Feng, Chun Chen:
Improving Knowledge Graph Embedding via Iterative Self-Semantic Knowledge Distillation. CoRR abs/2206.02963 (2022) - [i16]Wujie Sun, Defang Chen, Can Wang, Deshi Ye, Yan Feng, Chun Chen:
Accelerating Diffusion Sampling with Classifier-based Feature Distillation. CoRR abs/2211.12039 (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
- [j57]Can Wang, Yangguang Zhang, Qihao Shi, Yan Feng, Chun Chen:
Efficient influence spread management via budget allocation at community scale. Expert Syst. Appl. 175: 114814 (2021) - [j55]Can Wang, Qihao Shi, Weizhao Xian, Yan Feng, Chun Chen:
Efficient diversified influence maximization with adaptive policies. Knowl. Based Syst. 213: 106692 (2021) - [j47]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) - [j46]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) - [c57]Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen:
Cross-Layer Distillation with Semantic Calibration. AAAI 2021: 7028-7036 - [i12]Defang Chen, Can Wang, Yan Feng, Chun Chen:
Exploring the Connection between Knowledge Distillation and Logits Matching. CoRR abs/2109.06458 (2021) - [i10]Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen:
Online Adversarial Distillation for Graph Neural Networks. CoRR abs/2112.13966 (2021) - 2020
- [c49]Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen:
Online Knowledge Distillation with Diverse Peers. AAAI 2020: 3430-3437 - [c48]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 - [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) - [i4]Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker++: recommendation with informative sampling strategy. CoRR abs/2011.07734 (2020) - [i3]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) - [i2]Defang Chen, Jian-Ping Mei, Yuan Zhang, Can Wang, Zhe Wang, Yan Feng, Chun Chen:
Cross-Layer Distillation with Semantic Calibration. CoRR abs/2012.03236 (2020) - 2019
- [j31]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) - [j30]Jiawei Chen, Can Wang, Qihao Shi, Yan Feng, Chun Chen:
Social recommendation based on users' attention and preference. Neurocomputing 341: 1-9 (2019) - [j29]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) - [c41]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 - [c37]Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen:
SamWalker: Social Recommendation with Informative Sampling Strategy. WWW 2019: 228-239 - [i1]Defang Chen, Jian-Ping Mei, Can Wang, Yan Feng, Chun Chen:
Online Knowledge Distillation with Diverse Peers. CoRR abs/1912.00350 (2019) - 2018
- [c34]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 - [c33]Jiawei Chen, Can Wang, Martin Ester, Qihao Shi, Yan Feng, Chun Chen:
Social Recommendation with Missing Not at Random Data. ICDM 2018: 29-38
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last updated on 2024-04-25 01:33 CEST by the dblp team
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