Zhennan Chen

According to our database, Zhennan Chen authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Adaptive Guidance Learning for Camouflaged Object Detection.

Zhennan Chen, Xuying Zhang, Tian-Zhu Xiang, Ying Tai

CoRR, 2024

Asformer: Learning From Adjacent Scale.

Hanpeng Jiang, Zhennan Chen, Wei Ding, Fan Lin

Proceedings of the IEEE International Conference on Acoustics, 2024

Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management.

Wei Ding, Zhennan Chen, Hanpeng Jiang, Yuanguo Lin, Fan Lin

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Interactive Errors Analysis and Scale Factor Nonlinearity Reduction Methods for Lissajous Frequency Modulated MEMS Gyroscope.

Rui Li, Xiaoxu Wang, Kaichen Yan, Zhennan Chen, Zhengya Ma, Xiquan Wang, Ao Zhang, Qianbo Lu

Sensors, December, 2023

Multi-Domain Feature Representation, Multi-Dimensional Feature Interaction for Person-Job Fit.

Bin Li, Jianwen Ding, Zhennan Chen, Hanpeng Jiang, Fan Lin

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

mTrader: A Multi-Scale Signal Optimization Deep Reinforcement Learning Framework for Financial Trading (S).

Zhennan Chen, Zhicheng Zhang, Pengfei Li, Lingyue Wei, Shibo Feng, Fan Lin

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

Diffusion Model for Camouflaged Object Detection.

Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction.

Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng

Proceedings of the IEEE International Conference on Data Mining, 2022