Haoxin Wang

According to our database, Haoxin Wang authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

BadTime: An Effective Backdoor Attack on Multivariate Long-Term Time Series Forecasting.

Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Wenbo Jiang

CoRR, August, 2025

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks through Model Poisoning.

Kunlan Xiang, Haomiao Yang, Meng Hao, Haoxin Wang, Shaofeng Li, Zikang Ding, Tianwei Zhang

CoRR, February, 2025

The Gradient Puppeteer: Adversarial Domination in Gradient Leakage Attacks Through Model Poisoning.

Kunlan Xiang, Haomiao Yang, Meng Hao, Shaofeng Li, Haoxin Wang, Zikang Ding, Wenbo Jiang, Tianwei Zhang

IEEE Trans. Inf. Forensics Secur., 2025

From global to local: A lightweight CNN approach for long-term time series forecasting.

Site Mo, Chengteng Yang, Yipeng Mo, Zuhua Yao, Bixiong Li, Songhai Fan, Haoxin Wang

Comput. Electr. Eng., 2025

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting.

Haoxin Wang, Yipeng Mo, Kunlan Xiang, Nan Yin, Honghe Dai, Bixiong Li, Songhai Fan, Site Mo

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

TimeSQL: Improving multivariate time series forecasting with multi-scale patching and smooth quadratic loss.

Site Mo, Haoxin Wang, Bixiong Li, Songhai Fan, Yuankai Wu, Xianggen Liu

Inf. Sci., 2024

FTMLP: MLP with Feature-Temporal Block for multivariate time series forecasting.

Haoxin Wang, Yipeng Mo, Honghe Dai, Nan Yin, Songhai Fan, Bixiong Li, Site Mo

Neurocomputing, 2024

2023

Dance of Channel and Sequence: An Efficient Attention-Based Approach for Multivariate Time Series Forecasting.

Haoxin Wang, Yipeng Mo, Nan Yin, Honghe Dai, Bixiong Li, Songhai Fan, Site Mo

CoRR, 2023