Ben Wan

According to our database, Ben Wan authored at least 11 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Gradient flow-based iterative pruning for efficient and high-quality lightweight diffusion models.

Ben Wan, Tianyi Zheng, Yuxiao Wang, Jia Wang

Neural Networks, 2026

Bidirectional Noise Injection: Enhancing Diffusion Models via Coordinated Input-Output Perturbation.

Tianyi Zheng, Jiayang Gao, Peng-Tao Jiang, Fengxiang Yang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

EBM-WGF: Training energy-based models with Wasserstein gradient flow.

Ben Wan, Cong Geng, Tianyi Zheng, Jia Wang

Neural Networks, 2025

EnfoMax: Domain entropy and mutual information maximization for domain generalized face anti-spoofing.

Tianyi Zheng, Bo Li, Shuang Wu, Ben Wan, Guodong Mu, Shice Liu, Shouhong Ding, Jia Wang

Neurocomputing, 2025

Enhancing the accuracy of Generative Adversarial Networks with Fokker-Planck Equations.

Ben Wan, Tianyi Zheng, Zhaoyu Chen, Jia Wang

Neurocomputing, 2025

Pruning for Sparse Diffusion Models Based on Gradient Flow.

Ben Wan, Tianyi Zheng, Zhaoyu Chen, Yuxiao Wang, Jia Wang

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

MFAE: Masked Frequency Autoencoders for Domain Generalization Face Anti-Spoofing.

Tianyi Zheng, Bo Li, Shuang Wu, Ben Wan, Guodong Mu, Shice Liu, Shouhong Ding, Jia Wang

IEEE Trans. Inf. Forensics Secur., 2024

Non-uniform Timestep Sampling: Towards Faster Diffusion Model Training.

Tianyi Zheng, Cong Geng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Beta-Tuned Timestep Diffusion Model.

Tianyi Zheng, Peng-Tao Jiang, Ben Wan, Hao Zhang, Jinwei Chen, Jia Wang, Bo Li

Proceedings of the Computer Vision - ECCV 2024, 2024

2022

RTGAN: An Novel GAN-Based Rule Transfer Learning Method for Scalable Industrial Inference Engine.

Yuxiao Wang, Hongming Cai, Lihong Jiang, Bingqing Shen, Ben Wan, Pan Hu, Xirui Xiong

Proceedings of the IEEE International Conference on e-Business Engineering, 2022

A Knowledge Graph-Based Analysis Framework for Aircraft Configuration Change Propagation.

Yuxiao Wang, Xinyuan Zhang, Hongming Cai, Ben Wan, Mu Liu, Lihong Jiang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022