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Zhennan Chen
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2020 – today
- 2024
- [c6]Wei Ding
, Zhennan Chen, Hanpeng Jiang, Yuanguo Lin, Fan Lin:
Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management. ICASSP 2024: 5120-5124 - [c5]Hanpeng Jiang, Zhennan Chen, Wei Ding, Fan Lin:
Asformer: Learning From Adjacent Scale. ICASSP 2024: 5900-5904 - [i2]Zhennan Chen, Xuying Zhang, Tian-Zhu Xiang, Ying Tai:
Adaptive Guidance Learning for Camouflaged Object Detection. CoRR abs/2405.02824 (2024) - 2023
- [j1]Rui Li, Xiaoxu Wang, Kaichen Yan
Interactive Errors Analysis and Scale Factor Nonlinearity Reduction Methods for Lissajous Frequency Modulated MEMS Gyroscope. Sensors 23(24): 9701 (2023) - [c4]Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin:
Diffusion Model for Camouflaged Object Detection. ECAI 2023: 445-452 - [c3]Bin Li, Jianwen Ding, Zhennan Chen, Hanpeng Jiang, Fan Lin:
Multi-Domain Feature Representation, Multi-Dimensional Feature Interaction for Person-Job Fit. SEKE 2023: 333-338 - [c2]Zhennan Chen, Zhicheng Zhang, Pengfei Li, Lingyue Wei, Shibo Feng, Fan Lin:
mTrader: A Multi-Scale Signal Optimization Deep Reinforcement Learning Framework for Financial Trading (S). SEKE 2023: 530-535 - [i1]Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin:
Diffusion Model for Camouflaged Object Detection. CoRR abs/2308.00303 (2023) - 2022
- [c1]Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng:
Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. ICDM 2022: 241-250
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