Chong Chen

Orcid: 0000-0003-0213-9957

Affiliations:

Alibaba Group, Hangzhou, China
Peking University, Beijing, China (PhD 2019)

According to our database¹, Chong Chen authored at least 35 papers between 2020 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

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In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

HARR: Learning Discriminative and High-Quality Hash Codes for Image Retrieval.

[BibT_eX]

[DOI]

ACM Trans. Multim. Comput. Commun. Appl., May, 2024

DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2024

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., January, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2024

2023

A Survey on Deep Hashing Methods.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2023

Toward Effective Domain Adaptive Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2023

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.

[BibT_eX]

[DOI]

CoRR, 2023

DANCE: Learning A Domain Adaptive Framework for Deep Hashing.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

2022

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

HEART: Towards Effective Hash Codes under Label Noise.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improved Deep Unsupervised Hashing via Prototypical Learning.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Pursuing Knowledge Consistency: Supervised Hierarchical Contrastive Learning for Facial Action Unit Recognition.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

TGNN: A Joint Semi-supervised Framework for Graph-level Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Dynamic Hypergraph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.

[BibT_eX]

[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

On Mitigating Hard Clusters for Face Clustering.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Density-Based Clustering with Kernel Diffusion.

[BibT_eX]

[DOI]

CoRR, 2021

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.

[BibT_eX]

[DOI]

CoRR, 2021

Discriminative-Generative Dual Memory Video Anomaly Detection.

[BibT_eX]

[DOI]

CoRR, 2021

A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing.

[BibT_eX]

[DOI]

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ARGO: Modeling Heterogeneity in E-commerce Recommendation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

CIMON: Towards High-quality Hash Codes.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Concordant Contrastive Learning for Semi-supervised Node Classification on Graph.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Supervised Hashing by Classification for Image Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Unsupervised Hashing by Global and Local Consistency.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Unsupervised Hashing by Distilled Smooth Guidance.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Data Mining, 2021

Graph Contrastive Clustering.

[BibT_eX]

[DOI]

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

2020

CIMON: Towards High-quality Hash Codes.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Robust Clustering by Contrastive Learning.

[BibT_eX]

[DOI]

CoRR, 2020

A Survey on Deep Hashing Methods.

[BibT_eX]

[DOI]

CoRR, 2020

scRMD: imputation for single cell RNA-seq data via robust matrix decomposition.

[BibT_eX]

[DOI]

Bioinform., 2020

Chong Chen

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