Shujian Liao

According to our database, Shujian Liao authored at least 9 papers between 2019 and 2025.

Collaborative distances:

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

2025

Directional Gradient Attacks for Inducing Controllable Detection Errors in DETR-Based Models.

Shujian Liao, Shengyu Xiong, Fudie Ai, Wanli Dong, Yong Peng, Anjie Peng, Hui Zeng

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

HFCNet: A Spatial-Frequency Collaborative Multi-scale Network for Infrared Small Target Detection.

Fudie Ai, Wanli Dong, Yiming He, Shujian Liao, Shengyu Xiong, Anjie Peng

Proceedings of the PRICAI 2025: Trends in Artificial Intelligence, 2025

S-DiffAdv: Enhancing Unrestricted Adversarial Attack via Sparse Diffusion.

Shijie Zhao, Anjie Peng, Shujian Liao, Wanli Dong, Yong Peng

Proceedings of the International Joint Conference on Neural Networks, 2025

FCSA: A Multi-Domain Enhancement Method for Improving Adversarial Transferability.

Shengyu Xiong, Anjie Peng, Hui Zeng, Qiang Wan, Shujian Liao, Fudie Ai, Yong Peng, Wanli Dong

Proceedings of the 31th IEEE International Conference on Parallel and Distributed Systems, 2025

2021

Forex Trading Volatility Prediction using Neural Network Models.

Shujian Liao, Jian Chen, Hao Ni

CoRR, 2021

Sig-wasserstein GANs for time series generation.

Hao Ni, Lukasz Szpruch, Marc Sabate Vidales, Baoren Xiao, Magnus Wiese, Shujian Liao

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition.

Hao Ni, Shujian Liao, Weixin Yang, Kevin Schlegel, Terry J. Lyons

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Conditional Sig-Wasserstein GANs for Time Series Generation.

Hao Ni, Lukasz Szpruch, Magnus Wiese, Shujian Liao, Baoren Xiao

CoRR, 2020

2019

Learning stochastic differential equations using RNN with log signature features.

Shujian Liao, Terry J. Lyons, Weixin Yang, Hao Ni

CoRR, 2019