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Jie Ying
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2020 – today
- 2024
- [j11]Yongzhi Yu, Shiqi Zhang, Jie Ying, Ping Wang:
Massive MIMO Detection Method Based on Quasi-Newton Methods and Deep Learning. IEEE Commun. Lett. 28(4): 912-916 (2024) - [j10]Jie Ying, Tiantian Zhu, Qiang Liu, Chunlin Xiong, Zhengqiu Weng, Tieming Chen, Lei Fu, Mingqi Lv, Han Wu, Ting Wang, Yan Chen:
TrapCog: An Anti-Noise, Transferable, and Privacy-Preserving Real-Time Mobile User Authentication System With High Accuracy. IEEE Trans. Mob. Comput. 23(4): 2832-2848 (2024) - [c5]Yuanbin Fu, Jie Ying, Houlei Lv, Xiaojie Guo:
Semi-supervised Camouflaged Object Detection from Noisy Data. ACM Multimedia 2024: 4766-4775 - [c4]Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An:
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. WWW 2024: 187-198 - [i4]Jie Ying, Tiantian Zhu, Wenrui Cheng, Qixuan Yuan, Mingjun Ma, Chunlin Xiong, Tieming Chen, Mingqi Lv, Yan Chen:
SPARSE: Semantic Tracking and Path Analysis for Attack Investigation in Real-time. CoRR abs/2405.02629 (2024) - [i3]Tiantian Zhu, Jie Ying, Tieming Chen, Chunlin Xiong, Wenrui Cheng, Qixuan Yuan, Aohan Zheng, Mingqi Lv, Yan Chen:
Nip in the Bud: Forecasting and Interpreting Post-exploitation Attacks in Real-time through Cyber Threat Intelligence Reports. CoRR abs/2405.02826 (2024) - 2023
- [j9]Jie Ying, Wei Huang, Le Fu, Haima Yang, Jiangzihao Cheng:
Weakly supervised segmentation of uterus by scribble labeling on endometrial cancer MR images. Comput. Biol. Medicine 167: 107582 (2023) - [j8]Tieming Chen, Chenbin Zheng, Tiantian Zhu, Chunlin Xiong, Jie Ying, Qixuan Yuan, Wenrui Cheng, Mingqi Lv:
System-level data management for endpoint advanced persistent threat detection: Issues, challenges and trends. Comput. Secur. 135: 103485 (2023) - [j7]Jie Ying, Han Li, Haima Yang, Yifan Jiang:
Small Aircraft Detection Based on Feature Enhancement and Context Information. J. Aerosp. Inf. Syst. 20(3): 140-151 (2023) - [j6]Yongzhi Yu, Jie Ying, Ping Wang, Limin Guo:
A data-driven deep learning network for massive MIMO detection with high-order QAM. J. Commun. Networks 25(1): 50-60 (2023) - [j5]Wencheng Xu, Jie Ying, Haima Yang, Jin Liu, Xing Hu:
Residual spatial graph convolution and temporal sequence attention network for sign language translation. Multim. Tools Appl. 82(15): 23483-23507 (2023) - [j4]Tiantian Zhu, Jinkai Yu, Chunlin Xiong, Wenrui Cheng, Qixuan Yuan, Jie Ying, Tieming Chen, Jiabo Zhang, Mingqi Lv, Yan Chen, Ting Wang, Yuan Fan:
APTSHIELD: A Stable, Efficient and Real-Time APT Detection System for Linux Hosts. IEEE Trans. Dependable Secur. Comput. 20(6): 5247-5264 (2023) - [c3]Jie Ying, Xin Jing, Chenyang Qin, Wei Huang:
Human Tissue Cell Image Segmentation optimization Algorithm Based on Improved U-net Network. ICICT 2023: 66-71 - [c2]Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong, Jie Ying, Yonggang Xie, Lingxuan Zhao, Xinrun Wang, Bo An:
TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning. NeurIPS 2023 - [i2]Wentao Zhang, Yilei Zhao, Shuo Sun, Jie Ying, Yonggang Xie, Zitao Song, Xinrun Wang, Bo An:
Reinforcement Learning with Maskable Stock Representation for Portfolio Management in Customizable Stock Pools. CoRR abs/2311.10801 (2023) - 2021
- [j3]Xueliang Zhu, Jie Ying, Haima Yang, Le Fu, Boyang Li, Bin Jiang:
Detection of deep myometrial invasion in endometrial cancer MR imaging based on multi-feature fusion and probabilistic support vector machine ensemble. Comput. Biol. Medicine 134: 104487 (2021) - [j2]Congcong Liu, Jie Ying, Haima Yang, Xing Hu, Jin Liu:
Improved human action recognition approach based on two-stream convolutional neural network model. Vis. Comput. 37(6): 1327-1341 (2021) - [i1]Tiantian Zhu, Jinkai Yu, Tieming Chen, Jiayu Wang, Jie Ying, Ye Tian, Mingqi Lv, Yan Chen, Yuan Fan, Ting Wang:
APTSHIELD: A Stable, Efficient and Real-time APT Detection System for Linux Hosts. CoRR abs/2112.09008 (2021)
2000 – 2009
- 2005
- [c1]Jie Ying, Liang Ji:
Pattern Recognition Based Color Transfer. CGIV 2005: 55-60 - 2000
- [j1]Jie Ying, Thia Kirubarajan, Krishna R. Pattipati, Ann Patterson-Hine:
A hidden Markov model-based algorithm for fault diagnosis with partial and imperfect tests. IEEE Trans. Syst. Man Cybern. Part C 30(4): 463-473 (2000)
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last updated on 2024-11-07 21:33 CET by the dblp team
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