MLP-SVNET: A Multi-Layer Perceptrons Based Network for Speaker Verification. - Bing Han 008; Zhengyang Chen; Bei Liu 003; Yanmin Qian (ICASSP, 2022)

Self-Knowledge Distillation via Feature Enhancement for Speaker Verification. - Bei Liu 003; Haoyu Wang 007; Zhengyang Chen; Shuai Wang 016; Yanmin Qian (ICASSP, 2022)

Attentive Feature Fusion for Robust Speaker Verification. - Bei Liu 003; Zhengyang Chen; Yanmin Qian (INTERSPEECH, 2022)

Dual Path Embedding Learning for Speaker Verification with Triplet Attention. - Bei Liu 003; Zhengyang Chen; Yanmin Qian (INTERSPEECH, 2022)

DF-ResNet: Boosting Speaker Verification Performance with Depth-First Design. - Bei Liu 003; Zhengyang Chen; Shuai Wang 016; Haoyu Wang 007; Bing Han 008; Yanmin Qian (INTERSPEECH, 2022)

Medical Difficult Airway Detection using Speech Technology. - Zhikai Zhou; Shuang Cao; Zhengyang Chen; Bei Liu 003; Ming Xia; Hong Jiang; Yanmin Qian (ISCSLP, 2022)

The SJTU X-LANCE Lab System for CNSRC 2022. - Zhengyang Chen; Bei Liu 003; Bing Han 008; Leying Zhang; Yanmin Qian (CoRR, 2022)

SJTU-AISPEECH System for VoxCeleb Speaker Recognition Challenge 2022. - Zhengyang Chen; Bing Han 008; Xu Xiang; Houjun Huang; Bei Liu 003; Yanmin Qian (CoRR, 2022)

Lowbit Neural Network Quantization for Speaker Verification. - Haoyu Wang 007; Bei Liu 003; Yifei Wu; Zhengyang Chen; Yanmin Qian (ICASSP Workshops, 2023)

Build a SRE Challenge System: Lessons from VoxSRC 2022 and CNSRC 2022. - Zhengyang Chen; Bing Han 008; Xu Xiang; Houjun Huang; Bei Liu 003; Yanmin Qian (INTERSPEECH, 2023)

Reversible Neural Networks for Memory-Efficient Speaker Verification. - Bei Liu 003; Yanmin Qian (INTERSPEECH, 2023)

ECAPA++: Fine-grained Deep Embedding Learning for TDNN Based Speaker Verification. - Bei Liu 003; Yanmin Qian (INTERSPEECH, 2023)

Extremely Low Bit Quantization for Mobile Speaker Verification Systems Under 1MB Memory. - Bei Liu 003; Haoyu Wang 007; Yanmin Qian (INTERSPEECH, 2023)

Adaptive Neural Network Quantization For Lightweight Speaker Verification. - Haoyu Wang 007; Bei Liu 003; Yifei Wu; Yanmin Qian (INTERSPEECH, 2023)

Whisper-KDQ: A Lightweight Whisper via Guided Knowledge Distillation and Quantization for Efficient ASR. - Hang Shao 005; Wei Wang 010; Bei Liu 003; Xun Gong 005; Haoyu Wang 007; Yanmin Qian (CoRR, 2023)

Depth-First Neural Architecture With Attentive Feature Fusion for Efficient Speaker Verification. - Bei Liu 003; Zhengyang Chen; Yanmin Qian (IEEE ACM Trans. Audio Speech Lang. Process., 2023)

One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models. - Hang Shao 005; Bei Liu 003; Yanmin Qian (ICASSP, 2024)

SparseWAV: Fast and Accurate One-Shot Unstructured Pruning for Large Speech Foundation Models. - Tianteng Gu; Bei Liu 003; Hang Shao 005; Yanmin Qian (INTERSPEECH, 2024)

DQ-Whisper: Joint Distillation and Quantization for Efficient Multilingual Speech Recognition. - Hang Shao 005; Bei Liu 003; Wei Wang 010; Xun Gong 005; Yanmin Qian (SLT, 2024)

CLAQ: Pushing the Limits of Low-Bit Post-Training Quantization for LLMs. - Haoyu Wang 007; Bei Liu 003; Hang Shao 005; Bo Xiao; Ke Zeng; Guanglu Wan; Yanmin Qian (CoRR, 2024)

Memory-Efficient Training for Deep Speaker Embedding Learning in Speaker Verification. - Bei Liu 003; Yanmin Qian (CoRR, 2024)

Towards Lightweight Speaker Verification via Adaptive Neural Network Quantization. - Bei Liu 003; Haoyu Wang 007; Yanmin Qian (IEEE ACM Trans. Audio Speech Lang. Process., 2024)

Efficient Pruning for Large-Scale Seq2Seq Speech Models without Back-Propagation. - Tianteng Gu; Bei Liu 003; Yanmin Qian (ICASSP, 2025)

DenoiseRotator: Enhance Pruning Robustness for LLMs via Importance Concentration. - Tianteng Gu; Bei Liu 003; Bo Xiao; Ke Zeng; Jiacheng Liu; Yanmin Qian (CoRR, 2025)