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Shuwei Qian

Name: dblp XML data dump
Creator: Schloss Dagstuhl - Leibniz Center for Informatics
Published: 1993
License: https://creativecommons.org/publicdomain/zero/1.0/
Keywords: dblp, XML, computer science, scholarly publications, metadata

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2025
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Qiangqiang He, Shuwei Qian, Chongjun Wang:
FastVDT: Fast Transformer With Optimised Attention Masks and Positional Encoding for Visual Dialogue. IET Comput. Vis. 19(1) (2025)
[c6]
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Qiangqiang He, Shuwei Qian, Jie Zhang, Chongjun Wang:
Inference Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Language Models. ICASSP 2025: 1-5
[c5]
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Shuwei Qian, Zhicheng Fan, Qiangqiang He, Chongjun Wang:
TIMM: A Type-Induced Missing-aware Mixture-of-Experts Model for Imputing Missing Modalities. IJCNN 2025: 1-8
2024
[j2]
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Zhendong Liu, Shuwei Qian, Changhong Xia, Chongjun Wang:
Are transformer-based models more robust than CNN-based models? Neural Networks 172: 106091 (2024)
[c4]
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Qiangqiang He, Jie Zhang, Shuwei Qian, Chongjun Wang:
Some Can Be Better than All: Multimodal Star Transformer for Visual Dialog. ICIP 2024: 2022-2026
2023
[j1]
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Shuwei Qian, Chongjun Wang:
COM: Contrastive Masked-attention model for incomplete multimodal learning. Neural Networks 162: 443-455 (2023)
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Shuwei Qian, Ming Guo, Zhicheng Fan, Mingcai Chen, Chongjun Wang:
LAMB: Label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection. CollaborateCom (2) 2023: 20-38
[i2]
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  - journals/corr/abs-2307-16614
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Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang:
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. CoRR abs/2307.16614 (2023)
2022
[c2]
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Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang:
Semi-supervised Learning with Multi-Head Co-Training. AAAI 2022: 6278-6286
2021
[c1]
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Zilan Huang, Luoyi Zhang, Yi Zhang, Shuwei Qian, Chong-Jun Wang:
Transformer based Multi-output Regression Learning for Wastewater Treatment. ICTAI 2021: 698-703
[i1]
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Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang:
Semi-Supervised Learning with Multi-Head Co-Training. CoRR abs/2107.04795 (2021)

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Schloss Dagstuhl - Leibniz Center for Informatics is a member of the Leibniz Association and is funded by the federal government of Germany and the states of Germany, especially Saarland and Rhineland‑Palatinate.