Huanghuang Liang

Orcid: 0000-0003-2847-0285

According to our database1, Huanghuang Liang authored at least 20 papers between 2018 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Metadata-guided multi-task transfer learning for thickness deviation detection in aluminum cold rolling: System design and real-world deployment.
Expert Syst. Appl., 2026

REMISVFU: Vertical Federated Unlearning via Representation Misdirection for Intermediate Output Feature.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025
Mimir: Data-Free Federated Unlearning Through Client-Specific Prompt Generation for Personalized Models.
IEEE Trans. Mob. Comput., October, 2025

Streamlining Data Transfer in Collaborative SLAM Through Bandwidth-Aware Map Distillation.
IEEE Trans. Mob. Comput., August, 2025

Spread+: Scalable Model Aggregation in Federated Learning With Non-IID Data.
IEEE Trans. Parallel Distributed Syst., April, 2025

Intelligent Welding System for Aluminum Coils by Adaptive Path Planning with Real-world Dataset.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Zero-shot Federated Unlearning via Transforming from Data-Dependent to Personalized Model-Centric.
Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

LightTrace: A Versatile Ebpf-Enabled Toolkit for Lightweight Distributed Tracing.
Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

Understanding the Challenges Students Face in Non-English Programming Environments Due to the Programming Language Transition: A Case Study of Keywords in the Chinese Version of Scratch.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025

2024
Controlling Aluminum Strip Thickness by Clustered Reinforcement Learning With Real-World Dataset.
IEEE Trans. Ind. Informatics, August, 2024

A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications.
IEEE Trans. Big Data, April, 2024

A unified hybrid memory system for scalable deep learning and big data applications.
J. Parallel Distributed Comput., April, 2024

Corrections to "DNN Surgery: Accelerating DNN Inference on the Edge through Layer Partitioning".
IEEE Trans. Cloud Comput., 2024

2023
An Edge-Side Real-Time Video Analytics System With Dual Computing Resource Control.
IEEE Trans. Computers, December, 2023

TAPU: A Transmission-Analytics Processing Unit for Accelerating Multifunctions in IoT Gateways.
IEEE Internet Things J., October, 2023

DNN Surgery: Accelerating DNN Inference on the Edge Through Layer Partitioning.
IEEE Trans. Cloud Comput., 2023

2022
An Autonomous Storage Optimization LRM Generation Strategy Based on Cascaded NURBS.
Symmetry, 2022

Spread: Decentralized Model Aggregation for Scalable Federated Learning.
Proceedings of the 51st International Conference on Parallel Processing, 2022

2019
Memristive Neural Networks: A Neuromorphic Paradigm for Extreme Learning Machine.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

2018
Chaos Theory in Urban Traffic Flow: Is Crowd Sensed Data Driving the Macro-traffic Behavior to Oscillation or Equilibrium.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018


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