Liang Qin

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2025
Learning from Planned Data to Improve Robotic Pick-and-Place Planning Efficiency.
CoRR, June, 2025

Identification of Weak Microseismic Signals in Hydraulic Fracturing Using 3D-Unet With ASPP Feature Fusion.
IEEE Trans. Geosci. Remote. Sens., 2025

Prediction of submarine soil dredging difficulty scale in cutter suction dredger construction with clustering-based deep learning.
Eng. Appl. Artif. Intell., 2025

ICE: An Intelligent Compression Engine.
Proceedings of the Data Compression Conference, 2025

2024
RSO-SLAM: A Robust Semantic Visual SLAM With Optical Flow in Complex Dynamic Environments.
IEEE Trans. Intell. Transp. Syst., October, 2024

Orchid: enhancing HPC interconnection networks through infrequent topology reconfiguration.
J. Opt. Commun. Netw., June, 2024

Spatio-temporal communication network traffic prediction method based on graph neural network.
Inf. Sci., 2024

Satformer: Accurate and Robust Traffic Data Estimation for Satellite Networks.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

An Improved Genetic Algorithm for Predicting Road Roughness Coefficient.
Proceedings of the 5th International Conference on Big Data & Artificial Intelligence & Software Engineering, 2024

Coalition game-based clustering algorithm for LEO satellite networks.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

TopoTen: Topology-Driven Accurate Traffic Data Estimation for LEO Mega-Constellation Networks.
Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023
ByteGAP: A Non-continuous Distributed Graph Computing System using Persistent Memory.
Proceedings of the Joint Proceedings of Workshops at the 49th International Conference on Very Large Data Bases (VLDB 2023), Vancouver, Canada, August 28, 2023

Model Compression for Data Compression: Neural Network Based Lossless Compressor Made Practical.
Proceedings of the Data Compression Conference, 2023

2022
Flex: A flowlet-level load balancing based on load-adaptive timeout in DCN.
Future Gener. Comput. Syst., 2022

GOLLIC: Learning Global Context beyond Patches for Lossless High-Resolution Image Compression.
CoRR, 2022

2021
Vortex-shock and vortex-vortex interactions in the compressible starting jet from two beveled nozzle configurations.
J. Vis., 2021

Geometric Error Modeling and Sensitivity Analysis of a Laser Pipe-Cutting System Based on Lie Group and Sobol Method.
Proceedings of the Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, 2021

FlowDecider: End-Host Driven Proactive Load Balancing for Data Center Networks.
Proceedings of the 21st International Conference on Communication Technology, 2021

DRNet: QoS-aware Routing for SDN using Deep Reinforcement Learning.
Proceedings of the 21st International Conference on Communication Technology, 2021

FlowDiviner: Spatio-Temporal Network Traffic Prediction Method Based on Graph Neural Network.
Proceedings of the APNet 2021: 5th Asia-Pacific Workshop on Networking, Shenzhen, China, June 24, 2021

2020
A Reinforcement Learning-Based Markov-Decision Process (MDP) Implementation for SRAM FPGAs.
IEEE Trans. Circuits Syst. II Express Briefs, 2020

JeLLyFysh-Version1.0 - a Python application for all-atom event-chain Monte Carlo.
Comput. Phys. Commun., 2020

2016
Construction of girth-eight quasi-cyclic low-density parity-check codes with low encoding complexity.
IET Commun., 2016

2014
Construction of Irregular QC-LDPC Codes in Near-Earth Communications.
J. Commun., 2014


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