Nian Shao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Event Detection

Convergence Analysis

Top Venues

SIAM J. Numer. Anal.

Publications

Xian Li, Nian Shao, Xiaofei Li
Self-Supervised Audio Teacher-Student Transformer for Both Clip-Level and Frame-Level Tasks. IEEE ACM Trans. Audio Speech Lang. Process. 32 (2024)
Bing Yang, Changsheng Quan, Yabo Wang, Pengyu Wang, Yujie Yang, Ying Fang, Nian Shao, Hui Bu, Xin Xu, Xiaofei Li
RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization. CoRR (2024)
Nian Shao, Xian Li, Xiaofei Li
Fine-Tune the Pretrained ATST Model for Sound Event Detection. ICASSP (2024)
Di Liang, Nian Shao, Xiaofei Li
Frame-Wise Streaming end-to-end Speaker Diarization with Non-Autoregressive Self-Attention-Based Attractors. ICASSP (2024)
Daniel Kressner, Nian Shao
A randomized small-block Lanczos method for large-scale null space computations. CoRR (2024)
Nian Shao, Wenbin Chen, Zhaojun Bai
EPIC: a provable accelerated Eigensolver based on Preconditioning and Implicit Convexity. CoRR (2024)
Wenbin Chen, Nian Shao, Xuejun Xu
A locally optimal preconditioned Newton-Schur method for symmetric elliptic eigenvalue problems. Math. Comput. 92 (344) (2023)
Nian Shao, Wenbin Chen
Convergence Analysis of Newton-Schur Method for Symmetric Elliptic Eigenvalue Problem. SIAM J. Numer. Anal. 61 (1) (2023)
Nian Shao, Xian Li, Xiaofei Li
Fine-tune the pretrained ATST model for sound event detection. CoRR (2023)
Di Liang, Nian Shao, Xiaofei Li
Frame-wise streaming end-to-end speaker diarization with non-autoregressive self-attention-based attractors. CoRR (2023)
Xian Li, Nian Shao, Xiaofei Li
Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks. CoRR (2023)
Nian Shao, Wenbin Chen
Riemannian Acceleration with Preconditioning for symmetric eigenvalue problems. CoRR (2023)
Nian Shao, Wenbin Chen
Convergence analysis of the Newton-Schur method for the symmetric elliptic eigenvalue problem. CoRR (2022)
Zhong Zhang, Nian Shao, Chongming Gao, Rui Miao, Qinli Yang, Junming Shao
Mixhead: Breaking the low-rank bottleneck in multi-head attention language models. Knowl. Based Syst. 240 (2022)
Nian Shao, Erfan Loweimi, Xiaofei Li
RCT: Random consistency training for semi-supervised sound event detection. INTERSPEECH (2022)
Nian Shao, Erfan Loweimi, Xiaofei Li
rct: random consistency training for semi-supervised sound event detection. CoRR (2021)
Hanshuang Pan, Nian Shao, Yue Yan, Xinyue Luo, Shufen Wang, Ling Ye, Jin Cheng, Wenbin Chen
Multi-chain Fudan-CCDC model for COVID-19 - a revisit to Singapore's case. Quant. Biol. 8 (4) (2020)