Qianhui Liu - RankMe

49 papers A* 8A 2B 2C 1Misc 3Journal 26Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Matterhorn: Efficient Analog Sparse Spiking Transformer Architecture with Masked Time-To-First-Spike Encoding. CoRR Zhanglu Yan, Kaiwen Tang, Zixuan Zhu, Zhenyu Bai, Qianhui Liu, Weng-Fai Wong
2026	J	`jnl`	pepADMET: A Novel Computational Platform For Systematic ADMET Evaluation of Peptides. J. Chem. Inf. Model. Xiaorong Tan, Qianhui Liu, Mengting Zhou, Yanpeng Fang, Defang Ouyang, Wenbin Zeng, Jie Dong
2025	J	`jnl`	Efficient Eye-based Emotion Recognition via Neural Architecture Search of Time-to-First-Spike-Coded Spiking Neural Networks. CoRR Qianhui Liu, Jing Yang, Miao Yu, Trevor E. Carlson, Gang Pan, Haizhou Li, Zhumin Chen
2025	J	`jnl`	Human-Inspired Computing for Robust and Efficient Audio-Visual Speech Recognition. IEEE Trans. Computers Qianhui Liu, Jiadong Wang, Yang Wang, Xin Yang, Gang Pan, Haizhou Li
2025	J	`jnl`	Lysergic acid diethylamide-derived excitatory/inhibitory ratio change enhances global synchrony in functional brain dynamics. PLoS Comput. Biol. Lingyu Zhang, Weiyang Shi, Ziyang Zhao, Zhichao Wang, Congying Chu, Bokai Zhao, Jiaqi Zhang, Qianhui Liu, Yueheng Lan, Tianzi Jiang
2025	J	`jnl`	Otters: An Energy-Efficient SpikingTransformer via Optical Time-to-First-Spike Encoding. CoRR Zhanglu Yan, Jiayi Mao, Qianhui Liu, Fanfan Li, Gang Pan, Tao Luo, Bowen Zhu, Weng-Fai Wong
2025	J	`jnl`	Spiking Neural Networks With Adaptive Membrane Time Constant for Event-Based Tracking. IEEE Trans. Image Process. Jiqing Zhang, Malu Zhang, Yuanchen Wang, Qianhui Liu, Baocai Yin, Haizhou Li, Xin Yang
2025	B	`conf`	The 2nd Human-Centric eXplainable AI in Education (HEXED) Workshop. EDM Vinitra Swamy, Jakub Kuzilek, Juan D. Pinto, Luc Paquette, Tanja Käser, Qianhui Liu, Lea Cohausz
2025	J	`jnl`	The Quick Red Fox gets the best Data Driven Classroom Interviews: A manual for an interview app and its associated methodology. CoRR Jaclyn Ocumpaugh, Luc Paquette, Ryan Shaun Baker, Amanda Barany, Jeff Ginger, Nathan Casano, Andres Felipe Zambrano, Xiner Liu, Zhanlan Wei, Yiqui Zhou, Qianhui Liu, Stephen Hutt, Alexandra M. A. Andres, Nidhi Nasiar, Camille Giordano, Martin Van Velsen, Micheal Mogessi
2025	Misc	`conf`	Two-Stream Spiking Neural Network for Event-based Action Recognition. ICASSP Shuang Lian, Qianhui Liu, Ziling Wang, Jia Su, Zhibin Zuo, Yi Zhang, Rui Yan, Huajin Tang
2024	—	`conf`	Applying Sequence Analysis to Understand the Debugging Process of Novice Programmers. CSEDM@EDM Qianhui Liu, Luc Paquette
2024	A	`conf`	ED-sKWS: Early-Decision Spiking Neural Networks for Rapid, and Energy-Efficient Keyword Spotting. INTERSPEECH Zeyang Song, Qianhui Liu, Qu Yang, Yizhou Peng, Haizhou Li
2024	J	`jnl`	ED-sKWS: Early-Decision Spiking Neural Networks for Rapid,and Energy-Efficient Keyword Spotting. CoRR Zeyang Song, Qianhui Liu, Qu Yang, Yizhou Peng, Haizhou Li
2024	J	`jnl`	Efficient spiking neural network design via neural architecture search. Neural Networks Jiaqi Yan, Qianhui Liu, Malu Zhang, Lang Feng, De Ma, Haizhou Li, Gang Pan
2024	B	`conf`	Human-Centric eXplainable AI in Education (HEXED) Workshop. EDM Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz
2024	J	`jnl`	Human-Inspired Audio-Visual Speech Recognition: Spike Activity, Cueing Interaction and Causal Processing. CoRR Qianhui Liu, Jiadong Wang, Yang Wang, Xin Yang, Gang Pan, Haizhou Li
2024	J	`jnl`	Intelligent event-based lip reading word classification with spiking neural networks using spatio-temporal attention features and triplet loss. Inf. Sci. Qianhui Liu, Meng Ge, Haizhou Li
2024	J	`jnl`	Introducing enzymatic cleavage features and transfer learning realizes accurate peptide half-life prediction across species and organs. Briefings Bioinform. Xiaorong Tan, Qianhui Liu, Yanpeng Fang, Sen Yang, Fei Chen, Jianmin Wang, Defang Ouyang, Jie Dong, Wenbin Zeng
2024	—	`ed.`	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), Atlanta, Georgia, USA, July 14, 2024. HEXED/L3MNGET@EDM Juan D. Pinto, Eamon Worden, Anthony Botelho, Lea Cohausz, Clayton Cohn, Mingyu Feng, Neil T. Heffernan, Arto Hellas, Lan Jiang, David Joyner, Tanja Käser, Juho Kim, Andrew S. Lan, Chenglu Li, Joshua Littenberg-Tobias, Qianhui Liu, Christopher MacLellan, Steven Moore, Maciej Pankiewicz, Luc Paquette, Zach A. Pardos, Anna N. Rafferty, Adish Singla, Shashank Sonkar, Vinitra Swamy, Rose E. Wang, Candace A. Walkington
2024	J	`jnl`	Latent representation discretization for unsupervised text style generation. Inf. Process. Manag. Yang Gao, Qianhui Liu, Yizhe Yang, Ke Wang
2024	A*	`conf`	LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. IJCAI Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li
2024	J	`jnl`	LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization. CoRR Qianhui Liu, Jiaqi Yan, Malu Zhang, Gang Pan, Haizhou Li
2024	—	`conf`	Preface. HEXED/L3MNGET@EDM Juan D. Pinto, Luc Paquette, Vinitra Swamy, Tanja Käser, Qianhui Liu, Lea Cohausz
2024	Misc	`conf`	SVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks. ICASSP Qu Yang, Qianhui Liu, Nan Li, Meng Ge, Zeyang Song, Haizhou Li
2024	J	`jnl`	sVAD: A Robust, Low-Power, and Light-Weight Voice Activity Detection with Spiking Neural Networks. CoRR Qu Yang, Qianhui Liu, Nan Li, Meng Ge, Zeyang Song, Haizhou Li
2023	J	`jnl`	Combining latent profile analysis and programming traces to understand novices' differences in debugging. Educ. Inf. Technol. Yingbin Zhang, Luc Paquette, Juan D. Pinto, Qianhui Liu, Aysa Xuemo Fan
2023	—	`conf`	Investigating the Relationship Between Programming Experience and Debugging Behaviors in an Introductory Computer Science Course. ICQE Juan D. Pinto, Qianhui Liu, Luc Paquette, Yingbin Zhang, Aysa Xuemo Fan
2023	A*	`conf`	Learnable Surrogate Gradient for Direct Training Spiking Neural Networks. IJCAI Shuang Lian, Jiangrong Shen, Qianhui Liu, Ziming Wang, Rui Yan, Huajin Tang
2023	J	`jnl`	Small unopened cotton boll counting by detection with MRF-YOLO in the wild. Comput. Electron. Agric. Qianhui Liu, Yan Zhang, Gongping Yang
2023	J	`jnl`	Topology Identification of Weighted Networks Via Binary Time Series From Propagation Dynamics. IEEE Trans. Comput. Soc. Syst. Xin Li, Ling Lin, Qianhui Liu, Zhengmin Kong, Li Ding
2023	—	`conf`	Unsupervised Style Transfer in News Headlines via Discrete Style Space. CCL Qianhui Liu, Yang Gao, Yizhe Yang
2023	A	`conf`	Using submission log data to investigate novice programmers' employment of debugging strategies. LAK Qianhui Liu, Luc Paquette
2022	Misc	`conf`	Event-Based Multimodal Spiking Neural Network with Attention Mechanism. ICASSP Qianhui Liu, Dong Xing, Lang Feng, Huajin Tang, Gang Pan
2022	A*	`conf`	Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. IJCAI Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan
2022	J	`jnl`	Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks. CoRR Lang Feng, Qianhui Liu, Huajin Tang, De Ma, Gang Pan
2022	A*	`conf`	Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion. IJCAI Jiaao Zhan, Yang Gao, Yu Bai, Qianhui Liu
2022	A*	`conf`	TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. IJCAI Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan
2022	J	`jnl`	TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources. CoRR Dong Xing, Qian Zheng, Qianhui Liu, Gang Pan
2022	J	`jnl`	Training Deep Convolutional Spiking Neural Networks With Spike Probabilistic Global Pooling. Neural Comput. Shuang Lian, Qianhui Liu, Rui Yan, Gang Pan, Huajin Tang
2021	A*	`conf`	Event-based Action Recognition Using Motion Information and Spiking Neural Networks. IJCAI Qianhui Liu, Dong Xing, Huajin Tang, De Ma, Gang Pan
2021	—	`conf`	Learning Path Generator Based on Knowledge Graph. IC4E Jiaqi Gao, Qianhui Liu, Win-Bin Huang
2021	A*	`conf`	Learning with Generated Teammates to Achieve Type-Free Ad-Hoc Teamwork. IJCAI Dong Xing, Qianhui Liu, Qian Zheng, Gang Pan
2021	—	`conf`	Shallow Underground Space Exploration and IoT Security Monitoring. ICCNS Zhaoji Zhang, Qianhui Liu, Xiaorui Chai
2020	A*	`conf`	Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. AAAI Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan
2020	J	`jnl`	Effective AER Object Classification Using Segmented Probability-Maximization Learning in Spiking Neural Networks. CoRR Qianhui Liu, Haibo Ruan, Dong Xing, Huajin Tang, Gang Pan
2020	J	`jnl`	Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. IEEE Trans. Neural Networks Learn. Syst. Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang
2019	J	`jnl`	Unsupervised AER Object Recognition Based on Multiscale Spatio-Temporal Features and Spiking Neurons. CoRR Qianhui Liu, Gang Pan, Haibo Ruan, Dong Xing, Qi Xu, Huajin Tang
2017	C	`conf`	Management information systems for advertisement based on online-to-offline strategy. ICIS Yang Xu, Fei Teng, Qianhui Liu
2014	J	`jnl`	An extended TOPSIS method for multiple attribute decision making problems with unknown weight based on 2-dimension uncertain linguistic variables. J. Intell. Fuzzy Syst. Qianhui Liu