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Bajian Xiang
Observed name:
Xiang, Bajian
Institutions:
Shenyang Research Institute of Foundry,
Foundry (United Kingdom)
Observed institutions:
Chinese Academy of Sciences,
Shenyang Research Institute of Foundry,
Foundry (United Kingdom),
Institute of Semiconductors,
University of Chinese Academy of Sciences
ORCID:
0009-0005-5151-2115
Observed ORCID:
0009-0005-5151-2115
OpenAlex ID:
A5068783537
Transformer Based Binocular Disparity Prediction with Occlusion Predict and Novel Full Connection Layers
2022
·
Yi Liu
, Xintao Xu
, et al.
·
Sensors
·
5
PDF
Advancing Speech Language Models by Scaling Supervised Fine-Tuning with Over 60,000 Hours of Synthetic Speech Dialogue Data
2024
·
Zhao, Shuaijiang
, Guo, Tingwei
, et al.
·
arXiv (Cornell University)
·
1
PDF
CAT-DUnet: Enhancing Speech Dereverberation via Feature Fusion and Structural Similarity Loss
2024
·
Bajian Xiang
, Wenyu Mao
, et al.
·
IEEE Signal Processing Letters
·
1
eSTImate: A Real-time Speech Transmission Index Estimator With Speech Enhancement Auxiliary Task Using Self-Attention Feature Pyramid Network
2023
·
Bajian Xiang
, Hongkun Liu
, et al.
·
Interspeech (USB)
·
1
Qwen-Audio-3.0-Gen-Preview Technical Report
2026
·
Dai, Junyu
, Duan, Xiaoyue
, et al.
·
arXiv (Cornell University)
PDF
Qwen-Audio-3.0-TTS: Freely Controllable and Highly Robust Speech Synthesis with Multi-Stage Training Paradigm
2026
·
Xiang, Bajian
, Wen, Cheng
, et al.
·
arXiv (Cornell University)
PDF
Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models
2026
·
Xiang, Bajian
, Guo, Tingwei
, et al.
·
arXiv (Cornell University)
PDF
Do We Need Distinct Representations for Every Speech Token? Unveiling and Exploiting Redundancy in Large Speech Language Models
2026
·
Bajian Xiang
, Tingwei Guo
, et al.
·
Findings of the Association for Computational Linguistics: ACL (Findings of ACL)
PDF
Understanding the Modality Gap: An Empirical Study on the Speech-Text Alignment Mechanism of Large Speech Language Models
2025
·
Bajian Xiang
, Shuaijiang Zhao
, et al.
·
Conference on Empirical Methods in Natural Language Processing (EMNLP)
PDF
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Works count:
9
Citation count:
8
H-index:
1
I10-index:
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