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2020 – today
- 2024
[j9]Yang Gao
, Qianhui Liu, Yizhe Yang, Ke Wang:
Latent representation discretization for unsupervised text style generation. Inf. Process. Manag. 61(2): 103643 (2024)- [j8]Qianhui Liu, Meng Ge, Haizhou Li:
Intelligent event-based lip reading word classification with spiking neural networks using spatio-temporal attention features and triplet loss. Inf. Sci. 675: 120660 (2024) - [j7]Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, De Ma, Haizhou Li, Gang Pan:
Efficient spiking neural network design via neural architecture search. Neural Networks 173: 106172 (2024) - [c18]Qianhui Liu, Luc Paquette:
Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers. CSEDM@EDM 2024 - [c17]Juan Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz:
Human-Centric eXplainable AI in Education (HEXED) Workshop. EDM 2024 - [c16]Qu Yang, Qianhui Liu, Nan Li, Meng Ge, Zeyang Song, Haizhou Li:
SVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks. ICASSP 2024: 221-225 - [c15]Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li:
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. IJCAI 2024: 3097-3105 - [i8]Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li:
LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. CoRR abs/2401.14652 (2024) - [i7]Qu Yang, Qianhui Liu, Nan Li, Meng Ge, Zeyang Song, Haizhou Li:
sVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks. CoRR abs/2403.05772 (2024) - [i6]Zeyang Song, Qianhui Liu, Qu Yang, Yizhou Peng, Haizhou Li:
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting. CoRR abs/2406.12726 (2024) - [i5]Qianhui Liu, Jiadong Wang, Yang Wang, Xin Yang, Gang Pan, Haizhou Li:
Human-Inspired Audio-Visual Speech Recognition: Spike Activity, Cueing Interaction and Causal Processing. CoRR abs/2408.16564 (2024) - 2023
- [j6]Qianhui Liu, Yan Zhang, Gongping Yang:
Small unopened cotton boll counting by detection with MRF-YOLO in the wild. Comput. Electron. Agric. 204: 107576 (2023) - [j5]Yingbin Zhang, Luc Paquette, Juan D. Pinto, Qianhui Liu, Aysa Xuemo Fan:
Combining latent profile analysis and programming traces to understand novices' differences in debugging. Educ. Inf. Technol. 28(4): 4673-4701 (2023) - [j4]Xin Li, Ling Lin, Qianhui Liu, Zhengmin Kong, Li Ding:
Topology Identification of Weighted Networks Via Binary Time Series From Propagation Dynamics. IEEE Trans. Comput. Soc. Syst. 10(1): 24-35 (2023) - [c14]Qianhui Liu, Yang Gao, Yizhe Yang:
Unsupervised Style Transfer in News Headlines via Discrete Style Space. CCL 2023: 91-105 - [c13]Juan D. Pinto, Qianhui Liu, Luc Paquette, Yingbin Zhang, Aysa Xuemo Fan:
Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course. ICQE 2023: 125-139 - [c12]Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang:
Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. IJCAI 2023: 3002-3010 - [c11]Qianhui Liu, Luc Paquette:
Using submission log data to investigate novice programmers' employment of debugging strategies. LAK 2023: 637-643 - 2022
- [j3]Shuang Lian, Qianhui Liu, Rui Yan, Gang Pan, Huajin Tang:
Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. Neural Comput. 34(5): 1170-1188 (2022) - [c10]Qianhui Liu, Dong Xing, Lang Feng, Huajin Tang, Gang Pan:
Event-Based Multimodal Spiking Neural Network with Attention Mechanism. ICASSP 2022: 8922-8926 - [c9]Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan:
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. IJCAI 2022: 2471-2477 - [c8]Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan:
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. IJCAI 2022: 3999-4005 - [c7]Jiaao Zhan, Yang Gao, Yu Bai, Qianhui Liu:
Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion. IJCAI 2022: 4489-4495 - [i4]Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan:
TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. CoRR abs/2205.00427 (2022) - [i3]Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan:
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. CoRR abs/2210.06386 (2022) - 2021
- [c6]Jiaqi Gao, Qianhui Liu, Win-Bin Huang:
Learning Path Generator Based on Knowledge Graph. IC4E 2021: 27-33 - [c5]Zhaoji Zhang, Qianhui Liu, Xiaorui Chai:
Shallow Underground Space Exploration and IoT Security Monitoring. ICCNS 2021: 55-59 - [c4]Dong Xing, Qianhui Liu, Qian Zheng, Gang Pan:
Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork. IJCAI 2021: 472-478 - [c3]Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan:
Event-based Action Recognition Using Motion Information and Spiking Neural Networks. IJCAI 2021: 1743-1749 - 2020
- [j2]Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang:
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. 31(12): 5300-5311 (2020) - [c2]Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan:
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. AAAI 2020: 1308-1315 - [i2]Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan:
Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. CoRR abs/2002.06199 (2020)
2010 – 2019
- 2019
- [i1]Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang:
Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. CoRR abs/1911.08261 (2019) - 2017
- [c1]Yang Xu, Fei Teng, Qianhui Liu:
Management information systems for advertisement based on online-to-offline strategy. ICIS 2017: 197-202 - 2014
- [j1]Qianhui Liu:
An extended TOPSIS method for multiple attribute decision making problems with unknown weight based on 2-dimension uncertain linguistic variables. J. Intell. Fuzzy Syst. 27(5): 2221-2230 (2014)
Coauthor Index
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