Qu Yang

According to our database, Qu Yang authored at least 18 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

An intelligent framework based on optimized variational mode decomposition and temporal convolutional network: Applications to stock index multi-step forecasting.

Yuanyuan Yu, Dongsheng Dai, Qu Yang, Qing Zeng, Yu Lin, Yanxiang Chen

Expert Syst. Appl., 2025

2024

LC-TTFS: Toward Lossless Network Conversion for Spiking Neural Networks With TTFS Coding.

Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li

IEEE Trans. Cogn. Dev. Syst., October, 2024

A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks.

Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan

IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet.

Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan

CoRR, 2024

EmoLLM: Multimodal Emotional Understanding Meets Large Language Models.

Qu Yang, Mang Ye, Bo Du

CoRR, 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

CoRR, 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

Proceedings of the IEEE International Conference on Acoustics, 2024

Synergy of Sight and Semantics: Visual Intention Understanding with CLIP.

Qu Yang, Mang Ye, Dacheng Tao

Proceedings of the Computer Vision - ECCV 2024, 2024

TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling.

Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Composed Image Retrieval via Cross Relation Network With Hierarchical Aggregation Transformer.

Qu Yang, Mang Ye, Zhaohui Cai, Kehua Su, Bo Du

IEEE Trans. Image Process., 2023

LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding.

Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li

CoRR, 2023

Long Short-term Memory with Two-Compartment Spiking Neuron.

Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan

CoRR, 2023

2022

Training Spiking Neural Networks with Local Tandem Learning.

Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Deep residual spiking neural network for keyword spotting in low-resource settings.

Qu Yang, Qi Liu, Haizhou Li

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Knowledge distillation for In-memory keyword spotting model.

Zeyang Song, Qi Liu, Qu Yang, Haizhou Li

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Rethinking Benchmarks for Neuromorphic Learning Algorithms.

Qu Yang, Jibin Wu, Haizhou Li

Proceedings of the International Joint Conference on Neural Networks, 2021

2019

Deep Spiking Neural Network with Spike Count based Learning Rule.

Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li

Proceedings of the International Joint Conference on Neural Networks, 2019

2018

Ship inner shell optimization based on the improved particle swarm optimization algorithm.

Guan Guan, Qu Yang, Wenwen Gu, Wenying Jiang, Yan Lin

Adv. Eng. Softw., 2018