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2020 – today
- 2025
[j6]Yuanyuan Yu
, Dongsheng Dai, Qu Yang, Qing Zeng, Yu Lin, Yanxiang Chen:
An intelligent framework based on optimized variational mode decomposition and temporal convolutional network: Applications to stock index multi-step forecasting. Expert Syst. Appl. 268: 126222 (2025)- [j5]Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan:
Toward Ultralow-Power Neuromorphic Speech Enhancement With Spiking-FullSubNet. IEEE Trans. Neural Networks Learn. Syst. 36(9): 17350-17364 (2025) - [c12]Qu Yang, Qinghongya Shi, Tongxin Wang, Mang Ye:
Uncertain Multimodal Intention and Emotion Understanding in the Wild. CVPR 2025: 24700-24709 - [c11]Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye:
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. CVPR 2025: 26170-26180 - [i18]Chen Zhang, Xinyi Dai, Yaxiong Wu, Qu Yang, Yasheng Wang, Ruiming Tang, Yong Liu:
A Survey on Multi-Turn Interaction Capabilities of Large Language Models. CoRR abs/2501.09959 (2025) - [i17]Chenxiang Ma, Xinyi Chen, Yanchen Li, Qu Yang, Yujie Wu, Guoqi Li, Gang Pan, Huajin Tang, Kay Chen Tan, Jibin Wu:
Spiking Neural Networks for Temporal Processing: Status Quo and Future Prospects. CoRR abs/2502.09449 (2025) - [i16]Jian Liang, Wenke Huang, Guancheng Wan, Qu Yang, Mang Ye:
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models. CoRR abs/2503.16843 (2025) - [i15]Xinbei Ma, Ruotian Ma, Xingyu Chen, Zhengliang Shi, Mengru Wang, Jen-tse Huang, Qu Yang, Wenxuan Wang, Fanghua Ye, Qingxuan Jiang, Mengfei Zhou, Zhuosheng Zhang, Rui Wang, Hai Zhao, Zhaopeng Tu, Xiaolong Li, Linus:
The Hunger Game Debate: On the Emergence of Over-Competition in Multi-Agent Systems. CoRR abs/2509.26126 (2025) - [i14]Yue Wang, Ruotian Ma, Xingyu Chen, Zhengliang Shi, Wanshun Chen, Huang Liu, Jiadi Yao, Qu Yang, Qingxuan Jiang, Fanghua Ye, Juntao Li, Min Zhang, Zhaopeng Tu, Xiaolong Li, Linus:
BatonVoice: An Operationalist Framework for Enhancing Controllable Speech Synthesis with Linguistic Intelligence from LLMs. CoRR abs/2509.26514 (2025) - [i13]Zhengliang Shi, Ruotian Ma, Jen-tse Huang, Xinbei Ma, Xingyu Chen, Mengru Wang, Qu Yang, Yue Wang, Fanghua Ye, Ziyang Chen, Shanyi Wang, Cixing Li, Wenxuan Wang, Zhaopeng Tu, Xiaolong Li, Zhaochun Ren, Linus:
Social Welfare Function Leaderboard: When LLM Agents Allocate Social Welfare. CoRR abs/2510.01164 (2025) - [i12]Kuicai Dong, Shurui Huang, Fangda Ye, Wei Han, Zhi Zhang, Dexun Li, Wenjun Li, Qu Yang, Gang Wang, Yichao Wang, Chen Zhang, Yong Liu:
Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research. CoRR abs/2510.21603 (2025) - [i11]Zihao Yi, Qingxuan Jiang, Ruotian Ma, Xingyu Chen, Qu Yang, Mengru Wang, Fanghua Ye, Ying Shen, Zhaopeng Tu, Xiaolong Li, Linus:
Too Good to be Bad: On the Failure of LLMs to Role-Play Villains. CoRR abs/2511.04962 (2025) - 2024
- [j4]Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan:
A Hybrid Neural Coding Approach for Pattern Recognition With Spiking Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3064-3078 (2024) - [j3]Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li:
LC-TTFS: Toward Lossless Network Conversion for Spiking Neural Networks With TTFS Coding. IEEE Trans. Cogn. Dev. Syst. 16(5): 1626-1639 (2024) - [c10]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling. AAAI 2024: 16838-16847 - [c9]Qu Yang, Mang Ye, Dacheng Tao:
Synergy of Sight and Semantics: Visual Intention Understanding with CLIP. ECCV (11) 2024: 144-160 - [c8]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 - [c7]Xiang Hao, Chenxiang Ma, Qu Yang, Kay Chen Tan, Jibin Wu:
When Audio Denoising Meets Spiking Neural Network. CAI 2024: 1524-1527 - [c6]Zeyang Song, Qianhui Liu, Qu Yang, Yizhou Peng, Haizhou Li:
ED-sKWS: Early-Decision Spiking Neural Networks for Rapid, and Energy-Efficient Keyword Spotting. INTERSPEECH 2024 - [i10]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) - [i9]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) - [i8]Qu Yang, Mang Ye, Bo Du:
EmoLLM: Multimodal Emotional Understanding Meets Large Language Models. CoRR abs/2406.16442 (2024) - [i7]Xiang Hao, Chenxiang Ma, Qu Yang, Jibin Wu, Kay Chen Tan:
Towards Ultra-Low-Power Neuromorphic Speech Enhancement with Spiking-FullSubNet. CoRR abs/2410.04785 (2024) - 2023
- [j2]Qu Yang, Mang Ye, Zhaohui Cai, Kehua Su, Bo Du:
Composed Image Retrieval via Cross Relation Network With Hierarchical Aggregation Transformer. IEEE Trans. Image Process. 32: 4543-4554 (2023) - [i6]Xinyi Chen, Qu Yang, Jibin Wu, Haizhou Li, Kay Chen Tan:
A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks. CoRR abs/2305.16594 (2023) - [i5]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
Long Short-term Memory with Two-Compartment Spiking Neuron. CoRR abs/2307.07231 (2023) - [i4]Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan:
TC-LIF: A Two-Compartment Spiking Neuron Model for Long-term Sequential Modelling. CoRR abs/2308.13250 (2023) - [i3]Qu Yang, Malu Zhang, Jibin Wu, Kay Chen Tan, Haizhou Li:
LC-TTFS: Towards Lossless Network Conversion for Spiking Neural Networks with TTFS Coding. CoRR abs/2310.14978 (2023) - 2022
- [c5]Qu Yang, Qi Liu, Haizhou Li:
Deep residual spiking neural network for keyword spotting in low-resource settings. INTERSPEECH 2022: 3023-3027 - [c4]Zeyang Song, Qi Liu, Qu Yang, Haizhou Li:
Knowledge distillation for In-memory keyword spotting model. INTERSPEECH 2022: 4128-4132 - [c3]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. NeurIPS 2022 - [i2]Qu Yang, Jibin Wu, Malu Zhang, Yansong Chua, Xinchao Wang, Haizhou Li:
Training Spiking Neural Networks with Local Tandem Learning. CoRR abs/2210.04532 (2022) - 2021
- [c2]Qu Yang, Jibin Wu, Haizhou Li:
Rethinking Benchmarks for Neuromorphic Learning Algorithms. IJCNN 2021: 1-8
2010 – 2019
- 2019
- [c1]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. IJCNN 2019: 1-6 - [i1]Jibin Wu, Yansong Chua, Malu Zhang, Qu Yang, Guoqi Li, Haizhou Li:
Deep Spiking Neural Network with Spike Count based Learning Rule. CoRR abs/1902.05705 (2019) - 2018
- [j1]Guan Guan, Qu Yang, Wenwen Gu, Wenying Jiang, Yan Lin:
Ship inner shell optimization based on the improved particle swarm optimization algorithm. Adv. Eng. Softw. 123: 104-116 (2018)
Coauthor Index
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