TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed. - Shian Du; Yihong Luo; Wei Chen 165; Jian Xu 021; Delu Zeng (CVPR, 2022)

SciRE-Solver: Accelerating Diffusion Models Sampling by Score-integrand Solver with Recursive Difference. - Shigui Li; Wei Chen 165; Delu Zeng (CoRR, 2023)

Entropy-Informed Weighting Channel Normalizing Flow. - Wei Chen 165; Shian Du; Shigui Li; Delu Zeng; John W. Paisley (CoRR, 2024)

Neural Ordinary Differential Equation Networks for Fintech Applications Using Internet of Things. - Jiacheng Li; Wei Chen 165; Yican Liu; Junmei Yang; Delu Zeng; Zhiheng Zhou 001 (IEEE Internet Things J., 2024)

DeepAR-Attention probabilistic prediction for stock price series. - Jiacheng Li; Wei Chen 165; Zhiheng Zhou 001; Junmei Yang; Delu Zeng (Neural Comput. Appl., 2024)

Dequantified Diffusion-Schrödinger Bridge for Density Ratio Estimation. - Wei Chen 165; Shigui Li; Jiacheng Li; Junmei Yang; John Paisley; Delu Zeng (ICML, 2025)

ReciprocalLA-LLIE: Low-light image enhancement with luminance-aware reciprocal diffusion process. - Zhiqi Lin; Wei Chen 165; Jian Xu 021; Delu Zeng; Min Chen (Neurocomputing, 2025)

Integrating Ordinary Differential Equations With Sparse Attention for Power Load Forecasting. - Jiacheng Li; Wei Chen 165; Yican Liu; Junmei Yang; Zhiheng Zhou 001; Delu Zeng (IEEE Trans. Instrum. Meas., 2025)

Any-Step Density Ratio Estimation via Interval-Annealed Secant Alignment. - Wei Chen 165; Shigui Li; Jiacheng Li; Jian Xu 021; Zhiqi Lin; Junmei Yang; Delu Zeng; John Paisley; Qibin Zhao (CoRR, 2025)

Diffinformer: Diffusion informer model for long sequence time-series forecasting. - Jiacheng Li; Wei Chen 165; Yican Liu; Junmei Yang; Zhiheng Zhou 001; Delu Zeng (Expert Syst. Appl., 2026)

Entropy-informed weighting channel normalizing flow for deep generative models. - Wei Chen 165; Shian Du; Shigui Li; Delu Zeng; John Paisley (Pattern Recognit., 2026)