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Jingxin Li
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2020 – today
- 2024
- [j6]Jikai Yang, Zhiquan Bai, Zhaoxia Xian, Hongwu Xiang, Jingxin Li, Huili Hu, Jian Dai, Xinhong Hao:
Hybrid Attention Module and Transformer Based Fuze DRFM Jamming Signal Recognition. IEEE Commun. Lett. 28(9): 2091-2095 (2024) - [j5]Jingxin Li, Toktam Mahmoodi:
The Entanglement of Communication and Computing in Enabling Edge Intelligence. IEEE Internet Things J. 11(11): 19278-19302 (2024) - [j4]Jingxin Li, Xiaolan Liu, Toktam Mahmoodi:
Federated Learning in Heterogeneous Wireless Networks With Adaptive Mixing Aggregation and Computation Reduction. IEEE Open J. Commun. Soc. 5: 2164-2182 (2024) - [c11]Gang Pan, Kang Liu, Jingxin Li, Rufei Zhang, Sheng Shen, Zhiliang Zeng, Jiahao Wang, Di Sun:
Domain Adaptive Object Detection with Dehazing Module. ICIC (11) 2024: 74-83 - [i3]Ken Deng, Jiaheng Liu, He Zhu, Congnan Liu, Jingxin Li, Jiakai Wang, Peng Zhao, Chenchen Zhang, Yanan Wu, Xueqiao Yin, Yuanxing Zhang, Wenbo Su, Bangyu Xiang, Tiezheng Ge, Bo Zheng:
R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models. CoRR abs/2406.01359 (2024) - 2023
- [j3]Jing Wang, Hanyue Liu, Haorong Ying, Chuhan Qiu, Jingxin Li, Muhammad Shahid Anwar:
Attention-based neural network for end-to-end music separation. CAAI Trans. Intell. Technol. 8(2): 355-363 (2023) - [j2]Zhibo Wang, Jingxin Li, Jiahui Hu, Ju Ren, Qian Wang, Zhetao Li, Yanjun Li:
Towards Privacy-Driven Truthful Incentives for Mobile Crowdsensing Under Untrusted Platform. IEEE Trans. Mob. Comput. 22(2): 1198-1212 (2023) - [c10]Jingxin Li, Toktam Mahmoodi, Hak-Keung Lam:
Distributed Learning in Heterogeneous Environment: Federated Learning with Adaptive Aggregation and Computation Reduction. ICC 2023: 1976-1981 - [c9]Zhiyu Li, Jing Wang, Hanqi Zhang, Sakib Hasan, Jingxin Li:
Non-Reference Subjective Evaluation Method for Binaural Audio in 6-DOF VR Applications. ICME Workshops 2023: 422-427 - [c8]Jingxin Li, Xiaolan Liu, Toktam Mahmoodi:
Opportunistic Transmission of Distributed Learning Models in Mobile UAVs. PIMRC 2023: 1-6 - [i2]Jingxin Li, Toktam Mahmoodi, Hak-Keung Lam:
Distributed Learning in Heterogeneous Environment: federated learning with adaptive aggregation and computation reduction. CoRR abs/2302.10757 (2023) - [i1]Jingxin Li, Xiaolan Liu, Toktam Mahmoodi:
Opportunistic Transmission of Distributed Learning Models in Mobile UAVs. CoRR abs/2306.09484 (2023) - 2022
- [c7]Xiaoyi Pang, Zhibo Wang, Jingxin Li, Ruiting Zhou, Ju Ren, Zhetao Li:
Towards Online Privacy-preserving Computation Offloading in Mobile Edge Computing. INFOCOM 2022: 1179-1188 - [c6]Jingxin Li, Guoshun Wang:
O2O Information Flow Closed-loop Strategy Enabled by Digitalization and Intellectualization. WHICEB 2022: 50 - 2021
- [c5]Jie Wang, Ao Gao, Jingxin Li:
Design of Face Detection Algorithm Accelerator Based on Vitis. ICA3PP (2) 2021: 546-554 - [c4]Pengsong Duan, Jingxin Li, Chenfei Jiao, Yangjie Cao, Jinsheng Kong:
WiBFall: A Device-Free Fall Detection Model for Bathroom. MONAMI 2021: 182-193 - 2020
- [j1]Junjun Lu, Yuxin Miao, Wei Shi, Jingxin Li, Xiaoyi Hu, Zhichao Chen, Xinbing Wang, Krzysztof Kusnierek:
Developing a Proximal Active Canopy Sensor-based Precision Nitrogen Management Strategy for High-Yielding Rice. Remote. Sens. 12(9): 1440 (2020)
2010 – 2019
- 2019
- [c3]Zhibo Wang, Jingxin Li, Jiahui Hu, Ju Ren, Zhetao Li, Yanjun Li:
Towards Privacy-preserving Incentive for Mobile Crowdsensing Under An Untrusted Platform. INFOCOM 2019: 2053-2061 - [c2]Suhang Li, Yongkui Ma, Yulong Gao, Jingxin Li:
DOA Estimation Based on Bayesian Compressive Sensing. WISATS (1) 2019: 630-639
2000 – 2009
- 2004
- [c1]Helen Xie, Philip Henderson, Joseph Neelamkavil, Jingxin Li:
A Systematic Search Strategy for Product Configuration. IEA/AIE 2004: 718-727
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