Dan Meng

Orcid: 0000-0003-1980-9283

Affiliations:
  • OPPO Research Institute, Shenzhen, China
  • East China Normal University, MOE Research Center for Software/Hardware Co-Design Engineering, Shanghai, China (PhD 2017)


According to our database1, Dan Meng authored at least 25 papers between 2016 and 2025.

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

Timeline

Legend:

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Online presence:

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Bibliography

2025
AttMOT: Improving Multiple-Object Tracking by Introducing Auxiliary Pedestrian Attributes.
IEEE Trans. Neural Networks Learn. Syst., March, 2025

Attention to Trajectory: Trajectory-Aware Open-Vocabulary Tracking.
CoRR, March, 2025

Temporal Fusion Network for Noisy Long-Time Series Industrial Data Processing.
J. Circuits Syst. Comput., 2025

An End-Cloud Collaborative Federated Learning Debugging Framework for Data Heterogeneity.
J. Circuits Syst. Comput., 2025

2024
Post-Training Attribute Unlearning in Recommender Systems.
CoRR, 2024

LoopAnimate: Loopable Salient Object Animation.
Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024

STRec: Social-Augmented Time-Aware Cross-Domain Sequential Recommendation.
Proceedings of the IEEE International Symposium on Parallel and Distributed Processing with Applications, 2024

AGNE: Attentional Graph Convolutional Network Embedding for Knowledge Concept Recommendation in MOOCs.
Proceedings of the Web Information Systems and Applications, 2024

2023
UltraRE: Enhancing RecEraser for Recommendation Unlearning via Error Decomposition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Differentially Private Sparse Mapping for Privacy-Preserving Cross Domain Recommendation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Making Users Indistinguishable: Attribute-wise Unlearning in Recommender Systems.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

FedLRS: A Communication-Efficient Federated Learning Framework With Low-Rank and Sparse Decomposition.
Proceedings of the 29th IEEE International Conference on Parallel and Distributed Systems, 2023

Backdoor Attack Against Automatic Speaker Verification Models in Federated Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

FedPerturb: Covert Poisoning Attack on Federated Learning via Partial Perturbation.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

DINE: Dynamic Information Network Embedding for Social Recommendation.
Proceedings of the Web Information Systems and Applications, 2023

GENE: Global Enhanced Graph Neural Network Embedding for Session-Based Recommendation.
Proceedings of the Web Information Systems and Applications, 2023

2022
When Adversarial Example Attacks Meet Vertical Federated Learning.
Proceedings of the IEEE Smartworld, 2022

t-PSI: Efficient Multi-party Private Set Intersection with Threshold.
Proceedings of the IEEE Smartworld, 2022

SAME: Sampling Attack in Multiplex Network Embedding.
Proceedings of the Advanced Data Mining and Applications - 18th International Conference, 2022

Temporal Knowledge Graph Embedding for Link Prediction.
Proceedings of the Web Information Systems and Applications, 2022

Coreference Resolution with Syntax and Semantics.
Proceedings of the Web Information Systems and Applications, 2022

2017
Liver Fibrosis Classification Based on Transfer Learning and FCNet for Ultrasound Images.
IEEE Access, 2017

2016
Automatic fall detection of human in video using combination of features.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Automated human physical function measurement using constrained high dispersal network with SVM-linear.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016

Facial expression recognition based on LLENet.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2016


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