Transformer based Multi-output Regression Learning for Wastewater Treatment. - Zilan Huang; Luoyi Zhang; Yi Zhang 073; Shuwei Qian; Chong-Jun Wang (ICTAI, 2021)

Semi-supervised Learning with Multi-Head Co-Training. - Mingcai Chen; Yuntao Du 001; Yi Zhang 073; Shuwei Qian; Chongjun Wang (AAAI, 2022)

LAMB: Label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection. - Shuwei Qian; Ming Guo; Zhicheng Fan; Mingcai Chen; Chongjun Wang (CollaborateCom (2), 2023)

LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. - Mingcai Chen; Yuntao Du 001; Wei Tang; Baoming Zhang; Hao Cheng 014; Shuwei Qian; Chongjun Wang (CoRR, 2023)

COM: Contrastive Masked-attention model for incomplete multimodal learning. - Shuwei Qian; Chongjun Wang (Neural Networks, 2023)

Some Can Be Better than All: Multimodal Star Transformer for Visual Dialog. - Qiangqiang He; Jie Zhang; Shuwei Qian; Chongjun Wang (ICIP, 2024)

Are transformer-based models more robust than CNN-based models? - Zhendong Liu; Shuwei Qian; Changhong Xia; Chongjun Wang (Neural Networks, 2024)

Inference Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Language Models. - Qiangqiang He; Shuwei Qian; Jie Zhang; Chongjun Wang (ICASSP, 2025)

FastVDT: Fast Transformer With Optimised Attention Masks and Positional Encoding for Visual Dialogue. - Qiangqiang He; Shuwei Qian; Chongjun Wang (IET Comput. Vis., 2025)