Gang Huang

Orcid: 0000-0001-8393-6469

Affiliations:
  • Zhejiang Lab, Hangzhou, Zhejiang, China
  • Zhejiang University, Hangzhou, China (PhD 2018)
  • Argonne National Laboratory, Argonne, IL, USA (2015-2016)


According to our database1, Gang Huang authored at least 22 papers between 2019 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

Online presence:

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Bibliography

2024
Finite-Time Cooperative Control for Vehicle Platoon With Sliding-Mode Controller and Disturbance Observer.
IEEE Trans. Intell. Transp. Syst., September, 2024

Federated learning on non-IID and globally long-tailed data via meta re-weighting networks.
Int. J. Wavelets Multiresolution Inf. Process., May, 2024

Secure Data Sharing over Vehicular Networks Based on Multi-sharding Blockchain.
ACM Trans. Sens. Networks, March, 2024

BlockSense: Towards Trustworthy Mobile Crowdsensing via Proof-of-Data Blockchain.
IEEE Trans. Mob. Comput., February, 2024

Hierarchical Control of Connected Vehicle Platoon by Simultaneously Considering the Vehicle Kinematics and Dynamics.
IEEE Trans. Intell. Veh., January, 2024

Advancing Web 3.0: Making Smart Contracts Smarter on Blockchain.
Proceedings of the ACM on Web Conference 2024, 2024

2023
Adaptive error bounded piecewise linear approximation for time-series representation.
Eng. Appl. Artif. Intell., November, 2023

Cache-Aided MEC for IoT: Resource Allocation Using Deep Graph Reinforcement Learning.
IEEE Internet Things J., July, 2023

Physics-Informed Time-Aware Neural Networks for Industrial Nonintrusive Load Monitoring.
IEEE Trans. Ind. Informatics, June, 2023

A Deep-Reinforcement-Learning-Based Social-Aware Cooperative Caching Scheme in D2D Communication Networks.
IEEE Internet Things J., June, 2023

Joint Sliding-Mode Controller and Observer for Vehicle Platoon Subject to Disturbance and Acceleration Failure of Neighboring Vehicles.
IEEE Trans. Intell. Veh., March, 2023

OPUPO: Defending Against Membership Inference Attacks With Order-Preserving and Utility-Preserving Obfuscation.
IEEE Trans. Dependable Secur. Comput., 2023

Dynamic Attention-Based CVAE-GAN for Pedestrian Trajectory Prediction.
IEEE Robotics Autom. Lett., 2023

Federated Semi-Supervised Learning with Annotation Heterogeneity.
CoRR, 2023

Personalized Federated Learning on Long-Tailed Data via Adversarial Feature Augmentation.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
Smart grid dispatch powered by deep learning: a survey.
Frontiers Inf. Technol. Electron. Eng., 2022

Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021
AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Federated Mutual Learning.
CoRR, 2020

2019
Cyber-Constrained Optimal Power Flow Model for Smart Grid Resilience Enhancement.
IEEE Trans. Smart Grid, 2019

Galaxy Learning - A Position Paper.
CoRR, 2019

Training Encrypted Models with Privacy-preserved Data on Blockchain.
Proceedings of the ICVISP 2019: 3rd International Conference on Vision, 2019


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