Chong Chen

Orcid: 0000-0003-0213-9957

Affiliations:
  • Terminus Group, China
  • Alibaba Group, Hangzhou, China
  • Peking University, Beijing, China (PhD 2019)


According to our database1, Chong Chen authored at least 51 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Look Into Gradients: Learning Compact Hash Codes for Out-of-Distribution Retrieval.
IEEE Trans. Knowl. Data Eng., December, 2024

HOPE: A Hierarchical Perspective for Semi-Supervised 2D-3D Cross-Modal Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2024

Deep Adaptive Graph Clustering via von Mises-Fisher Distributions.
ACM Trans. Web, May, 2024

HARR: Learning Discriminative and High-Quality Hash Codes for Image Retrieval.
ACM Trans. Multim. Comput. Commun. Appl., May, 2024

DIOR: Learning to Hash With Label Noise Via Dual Partition and Contrastive Learning.
IEEE Trans. Knowl. Data Eng., April, 2024

Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024

CLEAR: Cluster-Enhanced Contrast for Self-Supervised Graph Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., January, 2024

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
ACM Trans. Knowl. Discov. Data, January, 2024

Discrepancy and Structure-Based Contrast for Test-Time Adaptive Retrieval.
IEEE Trans. Multim., 2024

FATE: Learning Effective Binary Descriptors With Group Fairness.
IEEE Trans. Image Process., 2024

ROSE: Relational and Prototypical Structure Learning for Universal Domain Adaptive Hashing.
IEEE Trans. Inf. Forensics Secur., 2024

DisenSemi: Semi-supervised Graph Classification via Disentangled Representation Learning.
CoRR, 2024

Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations.
Proceedings of the ACM on Web Conference 2024, 2024

DEMO: A Statistical Perspective for Efficient Image-Text Matching.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
A Survey on Deep Hashing Methods.
ACM Trans. Knowl. Discov. Data, January, 2023

Toward Effective Domain Adaptive Retrieval.
IEEE Trans. Image Process., 2023

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.
CoRR, 2023

PastNet: Introducing Physical Inductive Biases for Spatio-temporal Video Prediction.
CoRR, 2023

DANCE: Learning A Domain Adaptive Framework for Deep Hashing.
Proceedings of the ACM Web Conference 2023, 2023

IDEA: An Invariant Perspective for Efficient Domain Adaptive Image Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.
Proceedings of the International Conference on Machine Learning, 2023

Dynamic Hypergraph Structure Learning for Traffic Flow Forecasting.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.
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.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Improved Deep Unsupervised Hashing via Prototypical Learning.
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.
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.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Dynamic Hypergraph Convolutional Network.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DualGraph: Improving Semi-supervised Graph Classification via Dual Contrastive Learning.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

DHWP: Learning High-Quality Short Hash Codes Via Weight Pruning.
Proceedings of the IEEE International Conference on Acoustics, 2022

On Mitigating Hard Clusters for Face Clustering.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Density-Based Clustering with Kernel Diffusion.
CoRR, 2021

Criterion-based Heterogeneous Collaborative Filtering for Multi-behavior Implicit Recommendation.
CoRR, 2021

Discriminative-Generative Dual Memory Video Anomaly Detection.
CoRR, 2021

A Statistical Approach to Mining Semantic Similarity for Deep Unsupervised Hashing.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

ARGO: Modeling Heterogeneity in E-commerce Recommendation.
Proceedings of the International Joint Conference on Neural Networks, 2021

CIMON: Towards High-quality Hash Codes.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Concordant Contrastive Learning for Semi-supervised Node Classification on Graph.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Supervised Hashing by Classification for Image Retrieval.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Deep Unsupervised Hashing by Global and Local Consistency.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep Unsupervised Hashing by Distilled Smooth Guidance.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Composition-Enhanced Graph Collaborative Filtering for Multi-behavior Recommendation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Graph Contrastive Clustering.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
CIMON: Towards High-quality Hash Codes.
CoRR, 2020

Deep Robust Clustering by Contrastive Learning.
CoRR, 2020

A Survey on Deep Hashing Methods.
CoRR, 2020

scRMD: imputation for single cell RNA-seq data via robust matrix decomposition.
Bioinform., 2020


  Loading...