Bei Liu

Orcid: 0000-0002-6208-003X

Affiliations:
  • Hong Kong University of Science and Technology, Hong Kong
  • Shanghai Jiao Tong University, AI Institute, Auditory Cognition and Computational Acoustics Lab, China (PhD 2024)
  • University of Southern California, Los Angeles, CA, USA (former)


According to our database1, Bei Liu authored at least 24 papers between 2022 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration.
CoRR, May, 2025

Efficient Pruning for Large-Scale Seq2Seq Speech Models without Back-Propagation.
Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024
Towards Lightweight Speaker Verification via Adaptive Neural Network Quantization.
IEEE ACM Trans. Audio Speech Lang. Process., 2024

Memory-Efficient Training for Deep Speaker Embedding Learning in Speaker Verification.
CoRR, 2024

CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMs.
CoRR, 2024

DQ-Whisper: Joint Distillation and Quantization for Efficient Multilingual Speech Recognition.
Proceedings of the IEEE Spoken Language Technology Workshop, 2024

SparseWAV: Fast and Accurate One-Shot Unstructured Pruning for Large Speech Foundation Models.
Proceedings of the 25th Annual Conference of the International Speech Communication Association, 2024

One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
Depth-First Neural Architecture With Attentive Feature Fusion for Efficient Speaker Verification.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Whisper-KDQ: A Lightweight Whisper via Guided Knowledge Distillation and Quantization for Efficient ASR.
CoRR, 2023

Adaptive Neural Network Quantization For Lightweight Speaker Verification.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Extremely Low Bit Quantization for Mobile Speaker Verification Systems Under 1MB Memory.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

ECAPA++: Fine-grained Deep Embedding Learning for TDNN Based Speaker Verification.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Reversible Neural Networks for Memory-Efficient Speaker Verification.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

Lowbit Neural Network Quantization for Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022.
CoRR, 2022

The SJTU X-LANCE Lab System for CNSRC 2022.
CoRR, 2022

Medical Difficult Airway Detection using Speech Technology.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

DF-ResNet: Boosting Speaker Verification Performance with Depth-First Design.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Dual Path Embedding Learning for Speaker Verification with Triplet Attention.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Attentive Feature Fusion for Robust Speaker Verification.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Self-Knowledge Distillation via Feature Enhancement for Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2022

MLP-SVNET: A Multi-Layer Perceptrons Based Network for Speaker Verification.
Proceedings of the IEEE International Conference on Acoustics, 2022


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