A Knowledge Graph-Based Analysis Framework for Aircraft Configuration Change Propagation. - Yuxiao Wang 004; Xinyuan Zhang; Hongming Cai 001; Ben Wan; Mu Liu; Lihong Jiang (ChineseCSCW (2), 2022)

RTGAN: An Novel GAN-Based Rule Transfer Learning Method for Scalable Industrial Inference Engine. - Yuxiao Wang 004; Hongming Cai 001; Lihong Jiang; Bingqing Shen; Ben Wan; Pan Hu 001; Xirui Xiong (ICEBE, 2022)

Beta-Tuned Timestep Diffusion Model. - Tianyi Zheng; Peng-Tao Jiang; Ben Wan; Hao Zhang 063; Jinwei Chen; Jia Wang 004; Bo Li 115 (ECCV (3), 2024)

Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training. - Tianyi Zheng; Cong Geng; Peng-Tao Jiang; Ben Wan; Hao Zhang 063; Jinwei Chen; Jia Wang 004; Bo Li 115 (ACM Multimedia, 2024)

MFAE: Masked Frequency Autoencoders for Domain Generalization Face Anti-Spoofing. - Tianyi Zheng; Bo Li 115; Shuang Wu 001; Ben Wan; Guodong Mu; Shice Liu; Shouhong Ding; Jia Wang 004 (IEEE Trans. Inf. Forensics Secur., 2024)

Pruning for Sparse Diffusion Models Based on Gradient Flow. - Ben Wan; Tianyi Zheng; Zhaoyu Chen 001; Yuxiao Wang; Jia Wang 004 (ICASSP, 2025)

Enhancing the accuracy of Generative Adversarial Networks with Fokker-Planck Equations. - Ben Wan; Tianyi Zheng; Zhaoyu Chen 001; Jia Wang 004 (Neurocomputing, 2025)

EBM-WGF: Training energy-based models with Wasserstein gradient flow. - Ben Wan; Cong Geng; Tianyi Zheng; Jia Wang 004 (Neural Networks, 2025)