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This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with the same name
- Hong Qu 0001
![[0000-0001-9003-3882]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-9003-3882")
— Harvard Kennedy School, Cambridge, MA, USA - Hong Qu 0002 — University of Electronic Science and Technology of China, Chengdu, Sichuan, China
- Hong Qu 0003 — Kennesaw State University, College of Business, Department of Accounting, GA, USA
- Hong Qu 0004 — Peking University, Beijing, China
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2020 – today
- 2025
[j12]Weishan Kong, Yanni Ju, Shiyuan Zhang, Jun Wang, Liwei Huang, Hong Qu:
Graph enhanced spatial-temporal transformer for traffic flow forecasting. Appl. Soft Comput. 170: 112698 (2025)- [j11]Hong Qu, K. P. Chau, Pik-Yin Mok:
Recycling/upcycling graphic design: automatic design elements extraction and vectorization. Vis. Comput. 41(12): 10317-10331 (2025) - [c23]Keyu Du, Hao Xu, Haipeng Li, Hong Qu, Chi-Wing Fu, Shuaicheng Liu:
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions. AAAI 2025: 2789-2797 - [i6]Keyu Du, Hao Xu, Haipeng Li, Hong Qu, Chi-Wing Fu, Shuaicheng Liu:
HybridReg: Robust 3D Point Cloud Registration with Hybrid Motions. CoRR abs/2503.07019 (2025) - 2024
- [c22]Lang Xue, Hanwen Liu, Jing Wang, Hong Qu:
Reasonable Gradients for Online Training Algorithms in Spiking Neural Networks. ECAI 2024: 2709-2716 - [c21]Kexin Shi, Hanwen Liu, Yi Chen, Hong Qu:
HL-ESViT: High-Low Frequency Efficient Spiking Vision Transformer. IJCNN 2024: 1-8 - [c20]Tianlei Wang, Keyu Chen, Ma Luo, Hong Qu:
Attention-Based Deep Neural Network for Point Cloud Learning. IJCNN 2024: 1-8 - 2023
- [c19]Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, Hong Qu:
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance. ACL (Findings) 2023: 12908-12922 - [c18]Zhangzi Zhu, Shuai Wang, Hong Qu:
Improving Image Captioning with Control Signal of Sentence Quality. ICASSP 2023: 1-5 - [c17]Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen:
Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation. ICCV 2023: 10518-10528 - [c16]Yuchen Wang, Kexin Shi, Chengzhuo Lu, Yuguo Liu, Malu Zhang, Hong Qu:
Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks. IJCAI 2023: 3085-3093 - [c15]Hanwen Liu, Yi Chen, Zihang Zeng, Malu Zhang, Hong Qu:
A Low Power and Low Latency FPGA-Based Spiking Neural Network Accelerator. IJCNN 2023: 1-8 - [i5]Wanlong Liu, Shaohuan Cheng, Dingyi Zeng, Hong Qu:
Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance. CoRR abs/2310.05991 (2023) - 2022
- [j10]Suzhen Yuan, Shengwei Gao, Chao Wen, Yuchan Wang, Hong Qu, Yan Wang:
A novel fault-tolerant quantum divider and its simulation. Quantum Inf. Process. 21(5): 182 (2022) - [j9]Suzhen Yuan, Xianrong Qing, Bo Hang, Hong Qu:
Quantum color image median filtering in the spatial domain: theory and experiment. Quantum Inf. Process. 21(9): 321 (2022) - [j8]Suzhen Yuan, Wenhao Zhao, Shengwei Gao, Shuyin Xia, Bo Hang, Hong Qu:
An adaptive threshold-based quantum image segmentation algorithm and its simulation. Quantum Inf. Process. 21(10): 359 (2022) - [c14]Yi Chen, Silin Zhang, Shiyu Ren, Hong Qu:
Gradual Surrogate Gradient Learning in Deep Spiking Neural Networks. ICASSP 2022: 8927-8931 - [c13]Hong Qu, Xiaolong Wei, Chuhan Sun, Xinze Li:
Research on UAV Air Combat Maneuver Decision-making Based on Improved Q-learning Algorithm. ICISCAE 2022: 55-58 - [c12]Wang Wentao, Li Ye, Hong Qu, Yao Peiyuan:
UAV Air Combat Maneuver Decision Algorithm Based on Dynamic Grid Planning Environment. ICISCAE 2022: 59-63 - [c11]Yuchen Wang, Malu Zhang, Yi Chen, Hong Qu:
Signed Neuron with Memory: Towards Simple, Accurate and High-Efficient ANN-SNN Conversion. IJCAI 2022: 2501-2508 - [c10]Shuqing Shi, Xiaobin Wang, Dong Hao, Zhiyou Yang, Hong Qu:
Solving Poker Games Efficiently: Adaptive Memory based Deep Counterfactual Regret Minimization. IJCNN 2022: 1-11 - [i4]Shuqing Shi, Xiaobin Wang, Zhiyou Yang, Fan Zhang, Hong Qu:
Double Thompson Sampling in Finite stochastic Games. CoRR abs/2202.10008 (2022) - [i3]Zhangzi Zhu, Hong Qu:
Improving Image Captioning with Control Signal of Sentence Quality. CoRR abs/2206.03196 (2022) - 2021
- [j7]Regina Esi Turkson, Hong Qu, Cobbinah Bernard Mawuli, Moses J. Eghan:
Classification of Alzheimer's Disease Using Deep Convolutional Spiking Neural Network. Neural Process. Lett. 53(4): 2649-2663 (2021) - [c9]Yi Chen, Hong Qu, Malu Zhang, Yuchen Wang:
Deep Spiking Neural Network with Neural Oscillation and Spike-Phase Information. AAAI 2021: 7073-7080 - [i2]Zhangzi Zhu, Tianlei Wang, Hong Qu:
Macroscopic Control of Text Generation for Image Captioning. CoRR abs/2101.08000 (2021) - [i1]Zhangzi Zhu, Tianlei Wang, Hong Qu:
Self-Annotated Training for Controllable Image Captioning. CoRR abs/2110.08446 (2021) - 2020
- [c8]Regina Esi Turkson, Hong Qu, Yuchen Wang, Moses J. Eghan:
Unsupervised Multi-layer Spiking Convolutional Neural Network Using Layer-Wise Sparse Coding. ICONIP (3) 2020: 353-365
2010 – 2019
- 2019
- [j6]Xusheng Gan, Hong Qu, Xiangwei Meng, Chunlan Wang, Jie Zhu:
Research on ELM Soft Fault Diagnosis of Analog Circuit Based on KSLPP Feature Extraction. IEEE Access 7: 92517-92527 (2019) - [c7]Jiuyuan Huo, Jian Weng, Hong Qu:
A parallel clustering algorithm for logs data based on Hadoop platform. HP3C 2019: 90-94 - 2017
- [c6]Lin Zuo, Shan Chen, Hong Qu, Malu Zhang:
A Fast Precise-Spike and Weight-Comparison Based Learning Approach for Evolving Spiking Neural Networks. ICONIP (3) 2017: 797-804 - [c5]Lin Zuo, Linyao Ma, Yanqing Xiao, Malu Zhang, Hong Qu:
A Dynamic Region Generation Algorithm for Image Segmentation Based on Spiking Neural Network. ICONIP (3) 2017: 816-824 - [c4]Yongqing Zhang, Yi Chen, Malu Zhang, Xi Wu, Jiliu Zhou, Hong Qu:
ERMPD: An efficient and robustness membrane potential driven supervised learning in spiking neural networks. SSCI 2017: 1-6 - 2016
- [j5]Liwei Huang, Hong Qu, Peng Ji, Xintong Liu, Zhen Fan:
A novel coordinated path planning method using k-degree smoothing for multi-UAVs. Appl. Soft Comput. 48: 182-192 (2016) - 2015
- [c3]Jiuyuan Huo, Hong Qu, Ling Wu:
Design and Implementation of Private Cloud Storage Platform Based on OpenStack. SmartCity 2015: 1098-1101 - 2013
- [j4]Hong Qu, Ke Xing, Alexander Takacs:
An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots. Neurocomputing 120: 509-517 (2013) - 2012
- [j3]Jiuyuan Huo, Hong Qu, Liqun Liu:
Design and Implementation of Automatic Defensive Websites Tamper-Resistant System. J. Softw. 7(10): 2379-2386 (2012) - [c2]Minyu Feng, Hong Qu, Yi Xu, Xing Ke:
The High Degree Seeking Algorithms with k Steps for Complex Networks. ISNN (1) 2012: 615-623
2000 – 2009
- 2007
- [j2]Bingjun Jiang, Hong Qu, Yuanlei Hu, Ting Ni, Zhongping Lin:
Computational analysis of the relationship between allergenicity and digestibility of allergenic proteins in simulated gastric fluid. BMC Bioinform. 8 (2007) - [j1]Silje Alvestad, Pål Erik Goa, Hong Qu, Øystein Risa, Christian Brekken, Ursula Sonnewald, Olav Haraldseth, Janniche Hammer, Ole Petter Ottersen, Asta K. Håberg:
In vivo mapping of temporospatial changes in manganese enhancement in rat brain during epileptogenesis. NeuroImage 38(1): 57-66 (2007) - 2006
- [c1]Hong Qu, Andrea La Pietra, Sarah S. Poon:
Automated Blog Classification: Challenges and Pitfalls. AAAI Spring Symposium: Computational Approaches to Analyzing Weblogs 2006: 184-186
Coauthor Index
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