Huanghuang Liang

Orcid: 0000-0003-2847-0285

According to our database1, Huanghuang Liang authored at least 14 papers between 2018 and 2025.

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

Timeline

Legend:

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Links

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Bibliography

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

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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