Kernel-based Hybrid Interpretable Transformer for High-frequency Stock Movement Prediction. - Fan Lin; Pengfei Li; Yuanguo Lin; Zhennan Chen; Huanyu You; Shibo Feng (ICDM, 2022)

Diffusion Model for Camouflaged Object Detection. - Zhennan Chen; Rongrong Gao; Tian-Zhu Xiang; Fan Lin (ECAI, 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 (SEKE, 2023)

Multi-Domain Feature Representation, Multi-Dimensional Feature Interaction for Person-Job Fit. - Bin Li; Jianwen Ding; Zhennan Chen; Hanpeng Jiang; Fan Lin (SEKE, 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, 2023)

Trend-Heuristic Reinforcement Learning Framework for News-Oriented Stock Portfolio Management. - Wei Ding; Zhennan Chen; Hanpeng Jiang; Yuanguo Lin; Fan Lin (ICASSP, 2024)

Asformer: Learning From Adjacent Scale. - Hanpeng Jiang; Zhennan Chen; Wei Ding; Fan Lin (ICASSP, 2024)

Adaptive Guidance Learning for Camouflaged Object Detection. - Zhennan Chen; Xuying Zhang; Tian-Zhu Xiang; Ying Tai (CoRR, 2024)

Region-Aware Text-to-Image Generation via Hard Binding and Soft Refinement. - Zhennan Chen; Yajie Li; Haofan Wang; Zhibo Chen 011; Zhengkai Jiang 003; Jun Li; Qian Wang; Jian Yang; Ying Tai (CoRR, 2024)

Assist in real-time risk evaluation induced by electrical cabinet fires in nuclear power plants: A dual AI framework employing BiTCN and TCNN. - Qiuju Ma; Zhennan Chen; Jianhua Chen; Yubo Sun; Nan Chen; Mengzhen Du (Reliab. Eng. Syst. Saf., 2025)

TextCrafter: Accurately Rendering Multiple Texts in Complex Visual Scenes. - Nikai Du; Zhennan Chen; Zhizhou Chen; Shan Gao; Xi Chen; Zhengkai Jiang 003; Jian Yang; Ying Tai (CoRR, 2025)