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Qiang Jiao
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2020 – today
- 2024
- [j15]Xue Lin, Qiang Jiao:
The Equilibrium Analysis for Competitive Spreading Over Networks With Mutations. IEEE Control. Syst. Lett. 8: 1709-1714 (2024) - [j14]Qiang Zhang, Hongyuan Guo, Guanghe Li, Tianlu Zhang, Qiang Jiao:
Deep unsupervised shadow detection with curriculum learning and self-training. Comput. Vis. Image Underst. 248: 104124 (2024) - [j13]Xue Lin, Yun Shang, Qiang Jiao:
Epidemic Spreading Over Multi-Layer Networks With Stubborn Agents. IEEE Trans. Circuits Syst. II Express Briefs 71(2): 812-816 (2024) - [j12]Qiang Zhang, Qi Qin, Yang Yang, Qiang Jiao, Jungong Han:
Feature Calibrating and Fusing Network for RGB-D Salient Object Detection. IEEE Trans. Circuits Syst. Video Technol. 34(3): 1493-1507 (2024) - [j11]Tianlu Zhang, Xiaoyi He, Qiang Jiao, Qiang Zhang, Jungong Han:
AMNet: Learning to Align Multi-Modality for RGB-T Tracking. IEEE Trans. Circuits Syst. Video Technol. 34(8): 7386-7400 (2024) - [j10]Tianlu Zhang, Qiang Jiao, Qiang Zhang, Jungong Han:
Exploring Multi-Modal Spatial-Temporal Contexts for High-Performance RGB-T Tracking. IEEE Trans. Image Process. 33: 4303-4318 (2024) - [j9]Shenlu Zhao, Yichen Liu, Qiang Jiao, Qiang Zhang, Jungong Han:
Mitigating Modality Discrepancies for RGB-T Semantic Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 9380-9394 (2024) - 2023
- [c6]Tianlu Zhang, Hongyuan Guo, Qiang Jiao, Qiang Zhang, Jungong Han:
Efficient RGB-T Tracking via Cross-Modality Distillation. CVPR 2023: 5404-5413 - 2022
- [j8]Nianchang Huang, Qiang Jiao, Qiang Zhang, Jungong Han:
Middle-Level Feature Fusion for Lightweight RGB-D Salient Object Detection. IEEE Trans. Image Process. 31: 6621-6634 (2022) - 2021
- [c5]Qiang Jiao, Wei Hu, Fang Liu, Yong Dong:
RISC-VTF: RISC-V Based Extended Instruction Set for Transformer. SMC 2021: 1565-1570 - [c4]Wei Hu, Yong Dong, Fang Liu, Qiang Jiao:
Software/Hardware Co-Design Optimization for Sparse Convolutional Neural Networks. SMC 2021: 2069-2074 - 2020
- [j7]Xue Lin, Qiang Jiao, Long Wang:
Competitive diffusion in signed social networks: A game-theoretic perspective. Autom. 112 (2020) - [j6]Xue Lin, Qiang Jiao, Long Wang:
Information Propagation Over Networks With Antagonistic Interactions: The Equilibrium Analysis. IEEE Trans. Control. Netw. Syst. 7(2): 592-602 (2020) - [c3]Qiang Jiao, Wei Hu, Yuan Wen, Yong Dong, Zhenhao Li, Yu Gan:
Design of a Convolutional Neural Network Instruction Set Based on RISC-V and Its Microarchitecture Implementation. ICA3PP (2) 2020: 82-96 - [c2]Yong Dong, Wei Hu, Yonghao Wang, Qiang Jiao, Shuang Chen:
Optimizing Accelerator on FPGA for Deep Convolutional Neural Networks. ICA3PP (2) 2020: 97-110
2010 – 2019
- 2019
- [j5]Qiang Jiao, Hongwei Zhang, Shengyuan Xu, Frank L. Lewis, Lihua Xie:
Bipartite tracking of homogeneous and heterogeneous linear multi-agent systems. Int. J. Control 92(12): 2963-2972 (2019) - [j4]Xue Lin, Qiang Jiao, Long Wang:
Opinion Propagation Over Signed Networks: Models and Convergence Analysis. IEEE Trans. Autom. Control. 64(8): 3431-3438 (2019) - [j3]Jie Zhong, Daniel W. C. Ho, Jianquan Lu, Qiang Jiao:
Pinning Controllers for Activation Output Tracking of Boolean Network Under One-Bit Perturbation. IEEE Trans. Cybern. 49(9): 3398-3408 (2019) - 2016
- [j2]Qiang Jiao, Hamidreza Modares, Shengyuan Xu, Frank L. Lewis, Kyriakos G. Vamvoudakis:
Multi-agent zero-sum differential graphical games for disturbance rejection in distributed control. Autom. 69: 24-34 (2016) - [j1]Qiang Jiao, Hamidreza Modares, Frank L. Lewis, Shengyuan Xu, Lihua Xie:
Distributed L2-gain output-feedback control of homogeneous and heterogeneous systems. Autom. 71: 361-368 (2016) - 2015
- [c1]Qiang Jiao, Hamidreza Modares, Shengyuan Xu, Frank L. Lewis, Kyriakos G. Vamvoudakis:
Disturbance rejection of multi-agent systems: A reinforcement learning differential game approach. ACC 2015: 737-742
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last updated on 2024-10-07 21:20 CEST by the dblp team
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