Sheng Zhou

According to our database, Sheng Zhou authored at least 49 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Online adversarial knowledge distillation for graph neural networks.

Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen

Expert Syst. Appl., March, 2024

Distributionally Robust Graph-based Recommendation System.

Bohao Wang, Jiawei Chen, Changdong Li, Sheng Zhou, Qihao Shi, Yang Gao, Yan Feng, Chun Chen, Can Wang

CoRR, 2024

A Survey on Graph Condensation.

Hongjia Xu, Liangliang Zhang, Yao Ma, Sheng Zhou, Zhuonan Zheng, Jiajun Bu

CoRR, 2024

Macro Graph Neural Networks for Online Billion-Scale Recommender Systems.

Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang

CoRR, 2024

Rethinking Propagation for Unsupervised Graph Domain Adaptation.

Meihan Liu, Zeyu Fang, Zhen Zhang, Ming Gu, Sheng Zhou, Xin Wang, Jiajun Bu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation.

Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu

IEEE Trans. Knowl. Data Eng., October, 2023

Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning.

Chunpeng Zhou, Haishuai Wang, Sheng Zhou, Zhi Yu, Danushka Bandara, Jiajun Bu

Neural Networks, October, 2023

Source-free semi-supervised domain adaptation via progressive Mixup.

Ning Ma, Haishuai Wang, Zhen Zhang, Sheng Zhou, Hongyang Chen, Jiajun Bu

Knowl. Based Syst., February, 2023

SamWalker++: Recommendation With Informative Sampling Strategy.

Can Wang, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen

IEEE Trans. Knowl. Data Eng., 2023

Dynamic data-free knowledge distillation by easy-to-hard learning strategy.

Jingru Li, Sheng Zhou, Liangcheng Li, Haishuai Wang, Jiajun Bu, Zhi Yu

Inf. Sci., 2023

Improving topic disentanglement via contrastive learning.

Xixi Zhou, Jiajun Bu, Sheng Zhou, Zhi Yu, Ji Zhao, Xifeng Yan

Inf. Process. Manag., 2023

Modeling Spatiotemporal Periodicity and Collaborative Signal for Local-Life Service Recommendation.

Huixuan Chi, Hao Xu, Mengya Liu, Yuanchen Bei, Sheng Zhou, Danyang Liu, Mengdi Zhang

CoRR, 2023

Multi-View Fusion and Distillation for Subgrade Distresses Detection based on 3D-GPR.

Chunpeng Zhou, Kangjie Ning, Haishuai Wang, Zhi Yu, Sheng Zhou, Jiajun Bu

CoRR, 2023

CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks.

Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu

CoRR, 2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Can Wang, Yan Feng, Chun Chen

CoRR, 2023

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation.

Jiawei Chen, Junkang Wu, Jiancan Wu, Sheng Zhou, Xuezhi Cao, Xiangnan He

CoRR, 2023

Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation.

Jiawei Chen, Junkang Wu, Jiancan Wu, Xuezhi Cao, Sheng Zhou, Xiangnan He

Proceedings of the ACM Web Conference 2023, 2023

Unbiased Knowledge Distillation for Recommendation.

Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.

Zhiyao Zhou, Sheng Zhou, Bochao Mao, Xuanyi Zhou, Jiawei Chen, Qiaoyu Tan, Daochen Zha, Yan Feng, Chun Chen, Can Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reinforcement Neighborhood Selection for Unsupervised Graph Anomaly Detection.

Yuanchen Bei, Sheng Zhou, Qiaoyu Tan, Hao Xu, Hao Chen, Zhao Li, Jiajun Bu

Proceedings of the IEEE International Conference on Data Mining, 2023

Zero-Shot Entity Typing in Knowledge Graphs.

Sheng Zhou, Zhe Wang, Kewen Wang, Zhiqiang Zhuang

Proceedings of the Database Systems for Advanced Applications. DASFAA 2023 International Workshops, 2023

DPGN: Denoising Periodic Graph Network for Life Service Recommendation.

Hao Xu, Huixuan Chi, Danyang Liu, Sheng Zhou, Mengdi Zhang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

CDR: Conservative Doubly Robust Learning for Debiased Recommendation.

Zijie Song, Jiawei Chen, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen, Can Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Homophily-enhanced Structure Learning for Graph Clustering.

Ming Gu, Gaoming Yang, Sheng Zhou, Ning Ma, Jiawei Chen, Qiaoyu Tan, Meihan Liu, Jiajun Bu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Non-Recursive Cluster-Scale Graph Interacted Model for Click-Through Rate Prediction.

Yuanchen Bei, Hao Chen, Shengyuan Chen, Xiao Huang, Sheng Zhou, Feiran Huang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Robust Sequence Networked Submodular Maximization.

Qihao Shi, Bingyang Fu, Can Wang, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Direction-Aware User Recommendation Based on Asymmetric Network Embedding.

Sheng Zhou, Xin Wang, Martin Ester, Bolang Li, Chen Ye, Zhen Zhang, Can Wang, Jiajun Bu

ACM Trans. Inf. Syst., 2022

Context-guided entropy minimization for semi-supervised domain adaptation.

Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Sheng Zhou, Zhen Zhang, Jingjun Gu, Haifeng Li, Xifeng Yan

Neural Networks, 2022

How to Teach: Learning Data-Free Knowledge Distillation from Curriculum.

Jingru Li, Sheng Zhou, Liangcheng Li, Xifeng Yan, Zhi Yu, Jiajun Bu

CoRR, 2022

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions.

Sheng Zhou, Hongjia Xu, Zhuonan Zheng, Jiawei Chen, Zhao Li, Jiajun Bu, Jia Wu, Xin Wang, Wenwu Zhu, Martin Ester

CoRR, 2022

Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding.

Can Wang, Sheng Zhou, Kang Yu, Defang Chen, Bolang Li, Yan Feng, Chun Chen

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Hilbert Distillation for Cross-Dimensionality Networks.

Dian Qin, Haishuai Wang, Zhe Liu, Hongjia Xu, Sheng Zhou, Jiajun Bu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Spatial-Preserved Skeleton Representations for Few-Shot Action Recognition.

Ning Ma, Hongyi Zhang, Xuhui Li, Sheng Zhou, Zhen Zhang, Jun Wen, Haifeng Li, Jingjun Gu, Jiajun Bu

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation.

Jiawei Chen, Chengquan Jiang, Can Wang, Sheng Zhou, Yan Feng, Chun Chen, Martin Ester, Xiangnan He

ACM Trans. Inf. Syst., 2021

Efficient Medical Image Segmentation Based on Knowledge Distillation.

Dian Qin, Jiajun Bu, Zhe Liu, Xin Shen, Sheng Zhou, Jingjun Gu, Zhijua Wang, Lei Wu, Huifen Dai

IEEE Trans. Medical Imaging, 2021

Profit maximization for competitive social advertising.

Qihao Shi, Can Wang, Deshi Ye, Jiawei Chen, Sheng Zhou, Yan Feng, Chun Chen, Yanhao Huang

Theor. Comput. Sci., 2021

Online Adversarial Distillation for Graph Neural Networks.

Can Wang, Zhe Wang, Defang Chen, Sheng Zhou, Yan Feng, Chun Chen

CoRR, 2021

Semi-Supervised Hypothesis Transfer for Source-Free Domain Adaptation.

Ning Ma, Jiajun Bu, Lixian Lu, Jun Wen, Zhen Zhang, Sheng Zhou, Xifeng Yan

CoRR, 2021

Uncertainty-Guided Mixup for Semi-Supervised Domain Adaptation without Source Data.

Ning Ma, Jiajun Bu, Zhen Zhang, Sheng Zhou

CoRR, 2021

Distilling Holistic Knowledge with Graph Neural Networks.

Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Cross Multi-Type Objects Clustering in Attributed Heterogeneous Information Network.

Sheng Zhou, Jiajun Bu, Zhen Zhang, Can Wang, Lingzhou Ma, Jianfeng Zhang

Knowl. Based Syst., 2020

Adaptive-Step Graph Meta-Learner for Few-Shot Graph Classification.

Ning Ma, Jiajun Bu, Jieyu Yang, Zhen Zhang, Chengwei Yao, Zhi Yu, Sheng Zhou, Xifeng Yan

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

DGE: Deep Generative Network Embedding Based on Commonality and Individuality.

Sheng Zhou, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jiawei Chen, Qihao Shi, Can Wang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback.

Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Jingbang Chen, Yan Feng, Chun Chen

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding.

Sheng Zhou, Jiajun Bu, Xin Wang, Jiawei Chen, Bingbing Hu, Defang Chen, Can Wang

CoRR, 2019

SamWalker: Social Recommendation with Informative Sampling Strategy.

Jiawei Chen, Can Wang, Sheng Zhou, Qihao Shi, Yan Feng, Chun Chen

Proceedings of the World Wide Web Conference, 2019

2018

ANRL: Attributed Network Representation Learning via Deep Neural Networks.

Zhen Zhang, Hongxia Yang, Jiajun Bu, Sheng Zhou, Pinggang Yu, Jianwei Zhang, Martin Ester, Can Wang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

PRRE: Personalized Relation Ranking Embedding for Attributed Networks.

Sheng Zhou, Hongxia Yang, Xin Wang, Jiajun Bu, Martin Ester, Pinggang Yu, Jianwei Zhang, Can Wang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation.

Jiawei Chen, Yan Feng, Martin Ester, Sheng Zhou, Chun Chen, Can Wang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018