Chenkai Zhao

11 papers Journal 7Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Data-driven bayesian-guided activation functions for multi-task pattern recognition.
Pattern Recognit.
Rui-Jun Bai, Luyang Li, Zhong Li, Jia Guo, Chenkai Zhao, Weicheng Zeng, Haozhao Feng, Hanming Wei, Ping Chen
2025 J jnl
Exploring the common genetic basis of metabolic syndrome-related diseases and chronic kidney disease: insights from extensive genome-wide cross-trait analyses.
BioData Min.
Yu Yin, Chenkai Zhao, Yibo Hua, Fei Yang, Dandan Qiu, Jiasheng Yan, Xiaodong Jin
2023 J jnl
CLIP3Dstyler: Language Guided 3D Arbitrary Neural Style Transfer.
CoRR
Ming Gao, Yanwu Xu, Yang Zhao, Tingbo Hou, Chenkai Zhao, Mingming Gong
2022 J jnl
Adversarial learning-based multi-timescale network resource management in multi-mode green IoT network for smart building.
IET Commun.
Cheng Shi, Pengju Liu, Yapeng Chen, Zhenyu Zhou, Junzhong Yang, Chenkai Zhao, Bei Chen, Sen Yang, Shahid Mumtaz
2021 J jnl
A Transfer Learning Approach for Compressed Sensing in 6G-IoT.
IEEE Internet Things J.
Jing Liang, Lanjun Li, Chenkai Zhao
2019 — conf
A Deep-Learning-Based Distributed Compressive Sensing in UWB Soil Signals.
CSPS
Chenkai Zhao, Jing Liang, Qin Tang
2019 — conf
Comparing the Effectiveness of Multiple Quantitative Trading Strategies.
ICCMS
Chenkai Zhao
2019 — conf
Radar HRRP Target Recognition Based on Blind-Denoising Deep Network.
GLOBECOM Workshops
Chenkai Zhao, Jing Liang, Ge Zhang, Changba Huang, Xudong He
2019 J jnl
Radar HRRP Target Recognition via Semi-Supervised Multi-Task Deep Network.
IEEE Access
Chenkai Zhao, Xudong He, Jing Liang, Tiantian Wang, Changba Huang
2018 — conf
Compressed Sensing in Soil Ultra-Wideband Signals.
CSPS (2)
Chenkai Zhao, Jing Liang
2017 J jnl
Uncertain resource leveling problem.
J. Intell. Fuzzy Syst.
Hua Ke, Chenkai Zhao