MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting. - Peiwang Tang; Xianchao Zhang 002 (ICTAI, 2022)

Features Fusion Framework for Multimodal Irregular Time-series Events. - Peiwang Tang; Xianchao Zhang 002 (PRICAI (1), 2022)

Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem. - Peiwang Tang; Xianchao Zhang 002 (AAMAS, 2023)

Denoise Enhanced Neural Network with Efficient Data Generation for Automatic Sleep Stage Classification of Class Imbalance. - Le Yu; Peiwang Tang; Zhiguo Jiang; Xianchao Zhang 002 (IJCNN, 2023)

A Recurrent Neural Network based Generative Adversarial Network for Long Multivariate Time Series Forecasting. - Peiwang Tang; Qinghua Zhang; Xianchao Zhang 002 (ICMR, 2023)

PDMLP: Patch-based Decomposed MLP for Long-Term Time Series Forecasting. - Peiwang Tang; Weitai Zhang (CoRR, 2024)

Unlocking the Power of Patch: Patch-Based MLP for Long-Term Time Series Forecasting. - Peiwang Tang; Weitai Zhang (AAAI, 2025)

Large Language Models Are Efficient Learners as Zero-Shot Speech Translators. - Chenxuan Liu; Liping Chen; Peiwang Tang; Weitai Zhang; Xiaoxi Li; Sreyan Ghosh; Zhongyi Ye; Mingjia Yu (ICASSP, 2025)

Adversarial Speech-Text Pre-Training for Speech Translation. - Chenxuan Liu; Liping Chen; Weitai Zhang; Xiaoxi Li; Peiwang Tang; Mingjia Yu; Sreyan Ghosh; Zhongyi Ye (ICASSP, 2025)

Bridging Modality Gap with Large Speech and Language Models for End-to-End Speech-to-Text Translation. - Weitai Zhang; Simran Naagar; Zhongyi Ye; Peiwang Tang; Xinyuan Zhou; Junhua Liu; Lirong Dai 001 (ICASSP, 2025)

Semi-Supervised Multilingual Alignment with Lexical Memory for Massively Parallel Text Mining. - Weitai Zhang; Peiwang Tang; Chao Lin; Simran Naagar; Zhongyi Ye; Junhua Liu (ICASSP, 2025)