| 2025 | ICCV | RAGD: Regional-Aware Diffusion Model for Text-to-Image Generation. | Zhennan Chen, Yajie Li, Haofan Wang, Zhibo Chen, Zhengkai Jiang, Jun Li, Qian Wang, Jian Yang, Ying Tai |
| 2024 | ICASSP | Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management. | Wei Ding, Zhennan Chen, Hanpeng Jiang, Yuanguo Lin, Fan Lin |
| 2024 | ICASSP | Asformer: Learning From Adjacent Scale. | Hanpeng Jiang, Zhennan Chen, Wei Ding, Fan Lin |
| 2023 | ECAI | Diffusion Model for Camouflaged Object Detection. | Zhennan Chen, Rongrong Gao, Tian-Zhu Xiang, Fan Lin |
| 2023 | SEKE | 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 |
| 2023 | SEKE | Multi-Domain Feature Representation, Multi-Dimensional Feature Interaction for Person-Job Fit. | Bin Li, Jianwen Ding, Zhennan Chen, Hanpeng Jiang, Fan Lin |
| 2022 | ICDM | Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. | Fan Lin, Pengfei Li, Yuanguo Lin, Zhennan Chen, Huanyu You, Shibo Feng |