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

Management information systems for advertisement based on online-to-offline strategy. - Yang Xu 022; Fei Teng; Qianhui Liu (ICIS, 2017)

Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. - Qianhui Liu; Haibo Ruan; Dong Xing; Huajin Tang; Gang Pan 001 (AAAI, 2020)

Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. - Qianhui Liu; Gang Pan 001; Haibo Ruan; Dong Xing; Qi Xu; Huajin Tang (IEEE Trans. Neural Networks Learn. Syst., 2020)

Learning Path Generator Based on Knowledge Graph. - Jiaqi Gao; Qianhui Liu; Win-Bin Huang (IC4E, 2021)

Shallow Underground Space Exploration and IoT Security Monitoring. - Zhaoji Zhang; Qianhui Liu; Xiaorui Chai (ICCNS, 2021)

Event-based Action Recognition Using Motion Information and Spiking Neural Networks. - Qianhui Liu; Dong Xing; Huajin Tang; De Ma; Gang Pan 001 (IJCAI, 2021)

Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork. - Dong Xing; Qianhui Liu; Qian Zheng; Gang Pan 001 (IJCAI, 2021)

Event-Based Multimodal Spiking Neural Network with Attention Mechanism. - Qianhui Liu; Dong Xing; Lang Feng 002; Huajin Tang; Gang Pan 001 (ICASSP, 2022)

Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. - Lang Feng 002; Qianhui Liu; Huajin Tang; De Ma; Gang Pan 001 (IJCAI, 2022)

TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. - Dong Xing; Qian Zheng; Qianhui Liu; Gang Pan 001 (IJCAI, 2022)

Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion. - Jiaao Zhan; Yang Gao 016; Yu Bai 018; Qianhui Liu (IJCAI, 2022)

Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. - Shuang Lian; Qianhui Liu; Rui Yan 005; Gang Pan 001; Huajin Tang (Neural Comput., 2022)

Unsupervised Style Transfer in News Headlines via Discrete Style Space. - Qianhui Liu; Yang Gao 016; Yizhe Yang (CCL, 2023)

Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course. - Juan D. Pinto; Qianhui Liu; Luc Paquette; Yingbin Zhang; Aysa Xuemo Fan (ICQE, 2023)

Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. - Shuang Lian; Jiangrong Shen; Qianhui Liu; Ziming Wang; Rui Yan 005; Huajin Tang (IJCAI, 2023)

Using submission log data to investigate novice programmers' employment of debugging strategies. - Qianhui Liu; Luc Paquette (LAK, 2023)

Small unopened cotton boll counting by detection with MRF-YOLO in the wild. - Qianhui Liu; Yan Zhang; Gongping Yang (Comput. Electron. Agric., 2023)

Topology Identification of Weighted Networks Via Binary Time Series From Propagation Dynamics. - Xin Li 139; Ling Lin; Qianhui Liu; Zhengmin Kong; Li Ding 013 (IEEE Trans. Comput. Soc. Syst., 2023)

Combining latent profile analysis and programming traces to understand novices' differences in debugging. - Yingbin Zhang; Luc Paquette; Juan D. Pinto; Qianhui Liu; Aysa Xuemo Fan (Educ. Inf. Technol., 2023)

Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers. - Qianhui Liu; Luc Paquette (CSEDM@EDM, 2024)

Human-Centric eXplainable AI in Education (HEXED) Workshop. - Juan D. Pinto; Luc Paquette; Vinitra Swamy; Tanja Käser; Qianhui Liu; Lea Cohausz (EDM, 2024)

Preface. - Juan D. Pinto; Luc Paquette; Vinitra Swamy; Tanja Käser; Qianhui Liu; Lea Cohausz (HEXED/L3MNGET@EDM, 2024)

SVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks. - Qu Yang; Qianhui Liu; Nan Li; Meng Ge; Zeyang Song; Haizhou Li 001 (ICASSP, 2024)

LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. - Qianhui Liu; Jiaqi Yan; Malu Zhang; Gang Pan 001; Haizhou Li 001 (IJCAI, 2024)

ED-sKWS: Early-Decision Spiking Neural Networks for Rapid, and Energy-Efficient Keyword Spotting. - Zeyang Song; Qianhui Liu; Qu Yang; Yizhou Peng; Haizhou Li 001 (INTERSPEECH, 2024)

Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs. - Xiaorong Tan; Qianhui Liu; Yanpeng Fang; Sen Yang; Fei Chen; Jianmin Wang 016; Defang Ouyang; Jie Dong; Wenbin Zeng (Briefings Bioinform., 2024)

Human-Inspired Audio-Visual Speech Recognition: Spike Activity, Cueing Interaction and Causal Processing. - Qianhui Liu; Jiadong Wang; Yang Wang 106; Xin Yang 011; Gang Pan 001; Haizhou Li 001 (CoRR, 2024)

Intelligent event-based lip reading word classification with spiking neural networks using spatio-temporal attention features and triplet loss. - Qianhui Liu; Meng Ge; Haizhou Li 001 (Inf. Sci., 2024)

Efficient spiking neural network design via neural architecture search. - Jiaqi Yan; Qianhui Liu; Malu Zhang; Lang Feng 002; De Ma; Haizhou Li 001; Gang Pan 001 (Neural Networks, 2024)

Latent representation discretization for unsupervised text style generation. - Yang Gao 016; Qianhui Liu; Yizhe Yang; Ke Wang (Inf. Process. Manag., 2024)

The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop. - Vinitra Swamy; Jakub Kuzilek; Juan D. Pinto; Luc Paquette; Tanja Käser; Qianhui Liu; Lea Cohausz (EDM, 2025)

Two-Stream Spiking Neural Network for Event-based Action Recognition. - Shuang Lian; Qianhui Liu; Ziling Wang; Jia Su; Zhibin Zuo; Yi Zhang; Rui Yan 005; Huajin Tang (ICASSP, 2025)

Spiking Neural Networks With Adaptive Membrane Time Constant for Event-Based Tracking. - Jiqing Zhang; Malu Zhang; Yuanchen Wang; Qianhui Liu; Baocai Yin; Haizhou Li 001; Xin Yang 011 (IEEE Trans. Image Process., 2025)

Human-Inspired Computing for Robust and Efficient Audio-Visual Speech Recognition. - Qianhui Liu; Jiadong Wang; Yang Wang 106; Xin Yang 011; Gang Pan 001; Haizhou Li 001 (IEEE Trans. Computers, 2025)