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Jiangshan Hao
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2020 – today
- 2024
- [j2]Jiangshan Hao, Linghao Zhang, Yanchao Zhao:
Grouped federated learning for time-sensitive tasks in industrial IoTs. Peer Peer Netw. Appl. 17(2): 819-833 (2024) - [c7]Jiangshan Hao
, Fang Dong
HASFL: Harnessing Heterogeneous Models Across Diverse Devices for Enhanced Federated Learning. ICPP 2024: 484-493 - 2023
- [c6]Bowen Zhou
APFed: Attention-based Personalized Federated Learning in Model Heterogeneity Scenario. ACM TUR-C 2023: 69-70 - [c5]Zhenxuan Xu, Yunzhou Xie, Fang Dong, Shucun Fu, Jiangshan Hao:
Joint Optimization of Task Offloading and Resource Allocation for Edge Video Analytics. CSCWD 2023: 636-641 - [c4]Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakamura, Guangliang Li:
GAN-Based Interactive Reinforcement Learning from Demonstration and Human Evaluative Feedback. ICRA 2023: 4991-4998 - [c3]Jie Huang, Jiangshan Hao, Rongshun Juan, Randy Gomez, Keisuke Nakarnura, Guangliang Li:
Model-based Adversarial Imitation Learning from Demonstrations and Human Reward. IROS 2023: 1683-1690 - 2022
- [j1]Maoxing Tang
CrowdLoc: Robust image indoor localization with edge-assisted crowdsensing. J. Syst. Archit. 131: 102732 (2022) - [c2]Chuanxiong Zheng
Imitating Human Strategy for Social Robot in Real-Time Two-Player Games. ICSR (2) 2022: 427-438 - 2020
- [c1]Jiangshan Hao, Yanchao Zhao, Jiale Zhang:
Time Efficient Federated Learning with Semi-asynchronous Communication. ICPADS 2020: 156-163
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