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M.S at Xiamen University
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[Biography] [Latest News] [Publications]
[Activities]
Biography [back top]
I am currently a third-year master student at Xiamen University, supervised by Associate Professor Fan Lin.
My research interests include computer vision, deep reinforcement learning. Specifically focus on the following aspects:
- Diffusion Model
- Camouflaged Object Detection (COD)
- Time Series Reinforcement Learning
Latest News [back top]
- 12/2023: Two papers accepted to ICASSP 2024
- 7/2023: One paper accepted to ECAI 2023 (Oral)
- 4/2023: Two papers accepted to SEKE 2023
- 9/2022: One paper accepted to ICDM 2022
Publications [back top]
* Eauql contribution. ✉ Corresponding author.
Journal
Conference
06 |
Hanpeng Jiang*, Zhennan Chen*, Wei Ding, Fan Lin✉
ASFORMER: LEARNING FROM ADJACENT SCALE IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 [pdf coming] |
05 |
Wei Ding*, Zhennan Chen*, Hanpeng Jiang, YuanguoLin, Fan Lin✉
TREND-HEURISTIC REINFORCEMENT LEARNING FRAMEWORK FOR NEWS-ORIENTED STOCK PORTFOLIO MANAGEMENT IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024 [pdf coming] |
04 |
Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang✉, Fan Lin✉
Diffusion Model for Camouflaged Object Detection European Conference on Artificial Intelligence (ECAI) (Oral), 2023 [PDF] |
03 |
Bin Li, Jianwen Ding, Zhennan Chen, Hanpeng Jiang, Fan Lin✉
Multi-Domain Feature Representation and Multi-Dimensional Feature Interaction for Person-Job Fit International Conference on Software Engineering & Knowledge Engineering (SEKE), 2023 [PDF] |
02 |
Zhennan Chen, Zhicheng Zhang, Pengfei Li, Shibo Feng, Fan Lin✉
mTrader: A Multi-Scale Signal Optimization Deep Reinforcement Learning Framework for Financial Trading International Conference on Software Engineering & Knowledge Engineering (SEKE), 2023 [PDF] |
01 |
Fan Lin, Pengfei Li, Yuanguo Lin✉, Zhennan Chen, Huanyu You, Shibo Feng
Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction IEEE International Conference on Data Mining (ICDM), 2022 [PDF] |
Preprint
01 |
Zhennan Chen, Shuo Wang, Xuying Zhang, Rongrong Gao, Tian-Zhu Xiang✉, Fan Lin✉
Adaptive Guidance Learning for Camouflaged Object Detection [pdf coming] |
Activities [back top]
- Conference Reviewer: ECML&PKDD, 2022. MM, 2023~2024.
- Teaching Assistant Introduction to the Internet of Things, Xiamen University, Spring 2022.