Qianhui Liu

Orcid: 0000-0003-1765-1216

According to our database1, Qianhui Liu authored at least 30 papers between 2014 and 2024.

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

Timeline

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Bibliography

2024
Latent representation discretization for unsupervised text style generation.
Inf. Process. Manag., March, 2024

Efficient spiking neural network design via neural architecture search.
Neural Networks, 2024

Intelligent event-based lip reading word classification with spiking neural networks using spatio-temporal attention features and triplet loss.
Inf. Sci., 2024

Human-Inspired Audio-Visual Speech Recognition: Spike Activity, Cueing Interaction and Causal Processing.
CoRR, 2024

ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting.
CoRR, 2024

LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

SVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks.
Proceedings of the IEEE International Conference on Acoustics, 2024

Preface.
Proceedings of the Joint Proceedings of the Human-Centric eXplainable AI in Education and the Leveraging Large Language Models for Next Generation Educational Technologies Workshops (HEXED-L3MNGET 2024) co-located with 17th International Conference on Educational Data Mining (EDM 2024), 2024

Human-Centric eXplainable AI in Education (HEXED) Workshop.
Proceedings of the 17th International Conference on Educational Data Mining, 2024

Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers.
Proceedings of 8th Educational Data Mining in Computer Science Education Workshop (CSEDM 2024) co-located with the 17th Educational Data Mining Conference (EDM 2024), 2024

2023
Combining latent profile analysis and programming traces to understand novices' differences in debugging.
Educ. Inf. Technol., April, 2023

Topology Identification of Weighted Networks Via Binary Time Series From Propagation Dynamics.
IEEE Trans. Comput. Soc. Syst., February, 2023

Small unopened cotton boll counting by detection with MRF-YOLO in the wild.
Comput. Electron. Agric., 2023

Using submission log data to investigate novice programmers' employment of debugging strategies.
Proceedings of the LAK 2023: 13th International Learning Analytics and Knowledge Conference, 2023

Learnable Surrogate Gradient for Direct Training Spiking Neural Networks.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course.
Proceedings of the Advances in Quantitative Ethnography - 5th International Conference, 2023

Unsupervised Style Transfer in News Headlines via Discrete Style Space.
Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

2022
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling.
Neural Comput., 2022

Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Event-Based Multimodal Spiking Neural Network with Attention Mechanism.
Proceedings of the IEEE International Conference on Acoustics, 2022

2021
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Event-based Action Recognition Using Motion Information and Spiking Neural Networks.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Shallow Underground Space Exploration and IoT Security Monitoring.
Proceedings of the ICCNS 2021: The 11th International Conference on Communication and Network Security, Weihai, China, December 3, 2021

Learning Path Generator Based on Knowledge Graph.
Proceedings of the IC4E 2021: 12th International Conference on E-Education, E-Business, E-Management, and E-Learning, Tokyo Japan, 10, 2021

2020
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons.
IEEE Trans. Neural Networks Learn. Syst., 2020

Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2017
Management information systems for advertisement based on online-to-offline strategy.
Proceedings of the 16th IEEE/ACIS International Conference on Computer and Information Science, 2017

2014
An extended TOPSIS method for multiple attribute decision making problems with unknown weight based on 2-dimension uncertain linguistic variables.
J. Intell. Fuzzy Syst., 2014


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