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ORCIDQiang Wu 0010
Person information
- unicode name: 武强
- affiliation: University of Electronic Science and Technology of China, Chengdu, China
- affiliation (PhD 2020): Lanzhou University, School of Information and Engineering, China
Other persons with the same name
- Qiang Wu — disambiguation page
- Qiang Wu 0001
![[0000-0001-5641-2483]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-5641-2483")
— University of Technology at Sydney, Faculty of Engineering and Information Technology, NSW, Australia - Qiang Wu 0002 — University of Science and Technology of China, School of Management, Hefei, Anhui, China
- Qiang Wu 0003 — Middle Tennessee State University, Murfreesboro, TN, USA (and 3 more)
- Qiang Wu 0004 — Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology, China
- Qiang Wu 0005 — Northumbria University, Department of Mathematics, Physics and Electrical Engineering, Newcastle Upon Tyne, UK
- Qiang Wu 0006 — McMaster University, Hamilton, ON, Canada
- Qiang Wu 0007 — Advanced Digital Imaging Research LLC, League City, TX, USA (and 1 more)
- Qiang Wu 0008 — Juniper Networks, Inc., Sunnyvale, CA, USA (and 1 more)
- Qiang Wu 0009 — Shandong University, School of Information Science and Engineering, Jinan, China (and 1 more)
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2020 – today
- 2024
[j8]Yujie Zeng, Yiming Huang, Qiang Wu, Linyuan Lü:
Influential simplices mining via simplicial convolutional networks. Inf. Process. Manag. 61(5): 103813 (2024)- [c6]Yiming Huang, Yujie Zeng, Qiang Wu, Linyuan Lü:
Higher-Order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes. AAAI 2024: 12653-12661 - [i8]Songtao Huang, Hongjin Song, Tianqi Jiang, Akbar Telikani, Jun Shen, Qingguo Zhou, Binbin Yong, Qiang Wu:
DST-GTN: Dynamic Spatio-Temporal Graph Transformer Network for Traffic Forecasting. CoRR abs/2404.11996 (2024) - 2023
- [c5]Qiang Wu, Mingyuan Li, Jun Shen, Linyuan Lü, Bo Du, Ke Zhang:
TransformerLight: A Novel Sequence Modeling Based Traffic Signaling Mechanism via Gated Transformer. KDD 2023: 2639-2647 - [i7]Yujie Zeng, Yiming Huang, Qiang Wu, Linyuan Lü:
Influential Simplices Mining via Simplicial Convolutional Network. CoRR abs/2307.05841 (2023) - [i6]Yiming Huang, Yujie Zeng, Qiang Wu, Linyuan Lü:
Higher-order Graph Convolutional Network with Flower-Petals Laplacians on Simplicial Complexes. CoRR abs/2309.12971 (2023) - [i5]Qiang Wu, Yiming Huang, Yujie Zeng, Yijie Teng, Fang Zhou, Linyuan Lü:
Cooperative Network Learning for Large-Scale and Decentralized Graphs. CoRR abs/2311.02117 (2023) - 2022
- [j7]Yakun Li, Qiang Wu, Lei Hou, Juanzi Li:
Entity knowledge transfer-oriented dual-target cross-domain recommendations. Expert Syst. Appl. 195: 116591 (2022) - [j6]Qiang Wu, Jianqing Wu, Jun Shen, Bo Du, Akbar Telikani, Mahdi Fahmideh, Chao Liang:
Distributed agent-based deep reinforcement learning for large scale traffic signal control. Knowl. Based Syst. 241: 108304 (2022) - [j5]Jianqing Wu, Yihui Wang, Bo Du, Qiang Wu, Yanlong Zhai, Jun Shen, Luping Zhou, Chen Cai, Wei Wei, Qingguo Zhou:
The Bounds of Improvements Toward Real-Time Forecast of Multi-Scenario Train Delays. IEEE Trans. Intell. Transp. Syst. 23(3): 2445-2456 (2022) - [c4]Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu:
Expression might be enough: representing pressure and demand for reinforcement learning based traffic signal control. ICML 2022: 26645-26654 - [i4]Liang Zhang, Qiang Wu, Jianming Deng:
Knowledge intensive state design for traffic signal control. CoRR abs/2201.00006 (2022) - [i3]Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Bo Du, Akbar Telikani, Jianqing Wu, Shubin Xie:
DynamicLight: Dynamically Tuning Traffic Signal Duration with DRL. CoRR abs/2211.01025 (2022) - 2021
- [j4]Qiang Wu, Baixue Zhu, Binbin Yong, Yongqiang Wei, XueTao Jiang, Rui Zhou, Qingguo Zhou:
ClothGAN: generation of fashionable Dunhuang clothes using generative adversarial networks. Connect. Sci. 33(2): 341-358 (2021) - [c3]Qiang Wu, Peng Zhi, Yongqiang Wei, Liang Zhang, Jianqing Wu, Qingguo Zhou, Qiang Zhou, Pengfei Gao:
Communicate with Traffic Lights and Vehicles Based on Multi-Agent Reinforcement Learning. CSCWD 2021: 843-848 - [c2]Wei Wei, Qiang Wu, Jianqing Wu, Bo Du, Jun Shen, Tinghong Li:
Multi-agent deep reinforcement learning for traffic signal control with Nash Equilibrium. HPCC/DSS/SmartCity/DependSys 2021: 1435-1442 - [i2]Qiang Wu, Liang Zhang, Jun Shen, Linyuan Lü, Bo Du, Jianqing Wu:
Efficient Pressure: Improving efficiency for signalized intersections. CoRR abs/2112.02336 (2021) - [i1]Liang Zhang, Qiang Wu, Jun Shen, Linyuan Lü, Jianqing Wu, Bo Du:
Expression is enough: Improving traffic signal control with advanced traffic state representation. CoRR abs/2112.10107 (2021) - 2020
- [j3]Jianqing Wu, Qiang Wu, Jun Shen, Chen Cai:
Towards Attention-Based Convolutional Long Short-Term Memory for Travel Time Prediction of Bus Journeys. Sensors 20(12): 3354 (2020) - [j2]Qiang Wu, Jianqing Wu, Jun Shen, Binbin Yong, Qingguo Zhou:
An Edge Based Multi-Agent Auto Communication Method for Traffic Light Control. Sensors 20(15): 4291 (2020) - [c1]Hang Huang, Peng Zhi, Haoran Zhou, Yujin Zhang, Qiang Wu, Binbin Yong, Weijun Tan, Qingguo Zhou:
An Efficient Tiny Feature Map Network for Real-Time Semantic Segmentation. ISVC (2) 2020: 332-343
2010 – 2019
- 2019
- [j1]Qiang Wu, Jun Shen, Binbin Yong, Jianqing Wu, Fucun Li, Jinqiang Wang, Qingguo Zhou:
Smart fog based workflow for traffic control networks. Future Gener. Comput. Syst. 97: 825-835 (2019)
Coauthor Index
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