Chengyi Yang

Orcid: 0009-0009-8240-1943

According to our database1, Chengyi Yang authored at least 26 papers between 2013 and 2024.

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

Timeline

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Bibliography

2024
WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection.
IEEE Trans. Big Data, December, 2024

Rethinking self-supervised learning for time series forecasting: A temporal perspective.
Knowl. Based Syst., 2024

EffiCANet: Efficient Time Series Forecasting with Convolutional Attention.
CoRR, 2024

Towards Universal Large-Scale Foundational Model for Natural Gas Demand Forecasting.
CoRR, 2024

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting.
CoRR, 2024

DP-GSGLD: A Bayesian optimizer inspired by differential privacy defending against privacy leakage in federated learning.
Comput. Secur., 2024

Federated Learning in Large Model Era: Vision-Language Model for Smart City Safety Operation Management.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Generating Prompts in Latent Space for Rehearsal-free Continual Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Introducing Common Null Space of Gradients for Gradient Projection Methods in Continual Learning.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Foundation Models.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling with Self-Distillation for Long-Term Forecasting.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Towards Better Graph-based Cross-document Relation Extraction via Non-bridge Entity Enhancement and Prediction Debiasing.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Wasserstein Differential Privacy.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Federated Learning in Big Model Era: Domain-Specific Multimodal Large Models.
CoRR, 2023

The Prospect of Enhancing Large-Scale Heterogeneous Federated Learning with Transformers.
CoRR, 2023

Hierarchical Federated Learning Incentivization for Gas Usage Estimation.
CoRR, 2023

A Fully Digital Implementation of A Reward-Modulated STDP Synapse.
Proceedings of the 5th International Conference on Robotics, 2023

Factory Environmental Monitoring System based on Zigbee Technology and Multi-sensor Data Fusion.
Proceedings of the 12th International Conference on Networks, Communication and Computing, 2023

SWATM: Contribution-Aware Adaptive Federated Learning Framework Based on Augmented Shapley Values.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Efficient Training of Large-Scale Industrial Fault Diagnostic Models through Federated Opportunistic Block Dropout.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
SAGN: Semantic Adaptive Graph Network for Skeleton-Based Human Action Recognition.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

An Energy-aware Approach with Spectrum Detection in Wireless Sensor Networks.
Proceedings of the 19th IEEE International Conference on Embedded and Ubiquitous Computing, 2021

2019
A local expansion propagation algorithm for social link identification.
Knowl. Inf. Syst., 2019

2013
Estimation of in-tube oil film thickness using electrical capacitance tomography.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2013


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