Sheng Zhou

Orcid: 0000-0003-3645-1041

Affiliations:

Zhejiang University, Ningbo Research Institute, School of Software Technology, China
Zhejiang University, Alibaba, Joint Institute of Frontier Technologies, China

According to our database¹, Sheng Zhou authored at least 70 papers between 2018 and 2025.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2025

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

[BibT_eX]

[DOI]

ACM Comput. Surv., March, 2025

Less is more: A closer look at semantic-based few-shot learning.

[BibT_eX]

[DOI]

Inf. Fusion, 2025

2024

Online adversarial knowledge distillation for graph neural networks.

[BibT_eX]

[DOI]

Expert Syst. Appl., March, 2024

Structure enhanced prototypical alignment for unsupervised cross-domain node classification.

[BibT_eX]

[DOI]

Neural Networks, 2024

AdaDFKD: Exploring adaptive inter-sample relationship in data-free knowledge distillation.

[BibT_eX]

[DOI]

Neural Networks, 2024

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power.

[BibT_eX]

[DOI]

CoRR, 2024

SAM-SP: Self-Prompting Makes SAM Great Again.

[BibT_eX]

[DOI]

CoRR, 2024

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation.

[BibT_eX]

[DOI]

CoRR, 2024

GC-Bench: An Open and Unified Benchmark for Graph Condensation.

[BibT_eX]

[DOI]

CoRR, 2024

MolecularGPT: Open Large Language Model (LLM) for Few-Shot Molecular Property Prediction.

[BibT_eX]

[DOI]

CoRR, 2024

Motif-driven Subgraph Structure Learning for Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2024

Better Late Than Never: Formulating and Benchmarking Recommendation Editing.

[BibT_eX]

[DOI]

CoRR, 2024

NoisyGL: A Comprehensive Benchmark for Graph Neural Networks under Label Noise.

[BibT_eX]

[DOI]

CoRR, 2024

Towards a Unified Framework of Clustering-based Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

Heterophilous Distribution Propagation for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Revisiting the Message Passing in Heterophilous Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2024

Guarding Graph Neural Networks for Unsupervised Graph Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2024

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

A Survey on Graph Condensation.

[BibT_eX]

[DOI]

CoRR, 2024

Distributionally Robust Graph-based Recommendation System.

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

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

[BibT_eX]

[DOI]

Proceedings of the ACM on Web Conference 2024, 2024

Making Accessible Movies Easily: An Intelligent Tool for Authoring and Integrating Audio Descriptions to Movies.

[BibT_eX]

[DOI]

Proceedings of the 21st International Web for All Conference, 2024

SIGformer: Sign-aware Graph Transformer for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

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

[BibT_eX]

[DOI]

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Inversive-Reasoning Augmentation for Natural Language Inference.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

MMAD: Multi-modal Movie Audio Description.

[BibT_eX]

[DOI]

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Rethinking Propagation for Unsupervised Graph Domain Adaptation.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Hierarchical Knowledge Propagation and Distillation for Few-Shot Learning.

[BibT_eX]

[DOI]

Neural Networks, October, 2023

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

[BibT_eX]

[DOI]

Knowl. Based Syst., February, 2023

SamWalker++: Recommendation With Informative Sampling Strategy.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2023

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

[BibT_eX]

[DOI]

Inf. Sci., 2023

Improving topic disentanglement via contrastive learning.

[BibT_eX]

[DOI]

Inf. Process. Manag., 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

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

[BibT_eX]

[DOI]

CoRR, 2023

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation.

[BibT_eX]

[DOI]

CoRR, 2023

Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Unbiased Knowledge Distillation for Recommendation.

[BibT_eX]

[DOI]

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

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2023

Zero-Shot Entity Typing in Knowledge Graphs.

[BibT_eX]

[DOI]

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

DPGN: Denoising Periodic Graph Network for Life Service Recommendation.

[BibT_eX]

[DOI]

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

CDR: Conservative Doubly Robust Learning for Debiased Recommendation.

[BibT_eX]

[DOI]

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

Homophily-enhanced Structure Learning for Graph Clustering.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Robust Sequence Networked Submodular Maximization.

[BibT_eX]

[DOI]

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

2022

Direction-Aware User Recommendation Based on Asymmetric Network Embedding.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2022

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

[BibT_eX]

[DOI]

Neural Networks, 2022

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

[BibT_eX]

[DOI]

CoRR, 2022

Collaborative Knowledge Distillation for Heterogeneous Information Network Embedding.

[BibT_eX]

[DOI]

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

Hilbert Distillation for Cross-Dimensionality Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Inf. Syst., 2021

Efficient Medical Image Segmentation Based on Knowledge Distillation.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Profit maximization for competitive social advertising.

[BibT_eX]

[DOI]

Theor. Comput. Sci., 2021

Online Adversarial Distillation for Graph Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

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

[BibT_eX]

[DOI]

CoRR, 2021

Distilling Holistic Knowledge with Graph Neural Networks.

[BibT_eX]

[DOI]

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

2020

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

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

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

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback.

[BibT_eX]

[DOI]

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

2019

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding.

[BibT_eX]

[DOI]

CoRR, 2019

SamWalker: Social Recommendation with Informative Sampling Strategy.

[BibT_eX]

[DOI]

Proceedings of the World Wide Web Conference, 2019

2018

ANRL: Attributed Network Representation Learning via Deep Neural Networks.

[BibT_eX]

[DOI]

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

PRRE: Personalized Relation Ranking Embedding for Attributed Networks.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

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

Sheng Zhou

Timeline

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