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Publication search results
found 21 matches
- 2023
- Yu Zhao
, Huaming Du
, Ying Liu, Shaopeng Wei
, Xingyan Chen
, Fuzhen Zhuang
, Qing Li
, Gang Kou
:
Stock Movement Prediction Based on Bi-Typed Hybrid-Relational Market Knowledge Graph via Dual Attention Networks. IEEE Trans. Knowl. Data Eng. 35(8): 8559-8571 (2023) - Yu Zhao
, Shaopeng Wei
, Huaming Du
, Xingyan Chen
, Qing Li
, Fuzhen Zhuang
, Ji Liu, Gang Kou
:
Learning Bi-Typed Multi-Relational Heterogeneous Graph Via Dual Hierarchical Attention Networks. IEEE Trans. Knowl. Data Eng. 35(9): 9054-9066 (2023) - Shaopeng Fu, Di Wang:
Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach. CoRR abs/2310.06112 (2023) - 2022
- Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao:
Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning. ICLR 2022 - Shaopeng Fu, Fengxiang He, Dacheng Tao:
Knowledge Removal in Sampling-based Bayesian Inference. ICLR 2022 - Feiyue Wang, Fujian Ding, Shaopeng Hu, Kohei Shimasaki, Idaku Ishii
:
Software-based Rotation Sensor Using High-Speed Video Analysis. IEEE SENSORS 2022: 1-4 - Yu Zhao, Huaming Du, Ying Liu, Shaopeng Wei, Xingyan Chen, Fuzhen Zhuang, Qing Li, Ji Liu, Gang Kou:
Stock Movement Prediction Based on Bi-typed Hybrid-relational Market Knowledge Graph via Dual Attention Networks. CoRR abs/2201.04965 (2022) - Yu Zhao, Shaopeng Wei, Yu Guo, Qing Yang, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Bankruptcy Prediction via Mixing Intra-Risk and Spillover-Risk. CoRR abs/2202.03874 (2022) - Shaopeng Fu, Fengxiang He, Dacheng Tao:
Knowledge Removal in Sampling-based Bayesian Inference. CoRR abs/2203.12964 (2022) - Shaopeng Fu, Fengxiang He, Yang Liu, Li Shen, Dacheng Tao:
Robust Unlearnable Examples: Protecting Data Against Adversarial Learning. CoRR abs/2203.14533 (2022) - 2021
- Kohei Shimasaki
, Nagahiro Fujiwara, Shaopeng Hu, Taku Senoo, Idaku Ishii
:
High-frame-rate Video-based Multicopter Tracking System Using Pixel-level Short-time Fourier Transform. J. Intell. Robotic Syst. 103(2): 36 (2021) - Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama:
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. Neural Comput. 33(8): 2163-2192 (2021) - Wanmei Feng
, Nan Zhao
, Shaopeng Ao
, Jie Tang
, Xiuyin Zhang
, Yuli Fu
, Daniel Ka Chun So
, Kai-Kit Wong
:
Joint 3D Trajectory and Power Optimization for UAV-Aided mmWave MIMO-NOMA Networks. IEEE Trans. Commun. 69(4): 2346-2358 (2021) - Shaopeng Fu, Fengxiang He, Yue Xu, Dacheng Tao:
Bayesian Inference Forgetting. CoRR abs/2101.06417 (2021) - Yu Zhao, Shaopeng Wei, Huaming Du, Xingyan Chen, Qing Li, Fuzhen Zhuang, Ji Liu, Gang Kou:
Dual Hierarchical Attention Networks for Bi-typed Heterogeneous Graph Learning. CoRR abs/2112.13078 (2021) - 2020
- Yiqiao Cai
, Duanwei Wu, Shaopeng Liu
, Shunkai Fu
, Peizhong Liu
:
Enhancing Differential Evolution on Continuous Optimization Problems by Detecting Promising Leaders. IEEE Access 8: 226557-226578 (2020) - Wanmei Feng
, Nan Zhao
, Shaopeng Ao
, Jie Tang
, Xiuyin Zhang
, Yuli Fu
, Daniel K. C. So
, Kai-Kit Wong
:
Joint 3D Trajectory Design and Time Allocation for UAV-Enabled Wireless Power Transfer Networks. IEEE Trans. Veh. Technol. 69(9): 9265-9278 (2020) - Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama:
Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. CoRR abs/2011.06220 (2020) - Fengxiang He, Shaopeng Fu, Bohan Wang, Dacheng Tao:
Robustness, Privacy, and Generalization of Adversarial Training. CoRR abs/2012.13573 (2020) - 2018
- Lunkai Fu, Jun Li
, Langxiong Zhou, Zhenyuan Ma, Shaopeng Liu, Zhiyong Lin, Mukesh Prasad
:
Utilizing Information from Task-Independent Aspects via GAN-Assisted Knowledge Transfer. IJCNN 2018: 1-6 - 2008
- Shenglin Gui, Lei Luo, Qian Liu, Fulei Guo, Shaopeng Lu:
UCaS: A Schedulability Analysis Tool for AADL Models. EUC (2) 2008: 449-454
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