Variable screening for ultrahigh dimensional heterogeneous data via conditional quantile correlations. - Shucong Zhang; Yong Zhou (J. Multivar. Anal., 2018)

Windowed Attention Mechanisms for Speech Recognition. - Shucong Zhang; Erfan Loweimi; Peter Bell 001; Steve Renals (ICASSP, 2019)

Trainable Dynamic Subsampling for End-to-End Speech Recognition. - Shucong Zhang; Erfan Loweimi; Yumo Xu; Peter Bell 001; Steve Renals (INTERSPEECH, 2019)

Selective Adaptation of End-to-End Speech Recognition using Hybrid CTC/Attention Architecture for Noise Robustness. - Cong-Thanh Do; Shucong Zhang; Thomas Hain (EUSIPCO, 2020)

Learning Noise Invariant Features Through Transfer Learning For Robust End-to-End Speech Recognition. - Shucong Zhang; Cong-Thanh Do; Rama Doddipatla; Steve Renals (ICASSP, 2020)

When Can Self-Attention Be Replaced by Feed Forward Layers? - Shucong Zhang; Erfan Loweimi; Peter Bell 001; Steve Renals (CoRR, 2020)

Stochastic Attention Head Removal: A Simple and Effective Method for Improving Automatic Speech Recognition with Transformers. - Shucong Zhang; Erfan Loweimi; Peter Bell 001; Steve Renals (CoRR, 2020)

Train Your Classifier First: Cascade Neural Networks Training from Upper Layers to Lower Layers. - Shucong Zhang; Cong-Thanh Do; Rama Doddipatla; Erfan Loweimi; Peter Bell 001; Steve Renals (ICASSP, 2021)

Stochastic Attention Head Removal: A Simple and Effective Method for Improving Transformer Based ASR Models. - Shucong Zhang; Erfan Loweimi; Peter Bell 001; Steve Renals (Interspeech, 2021)

On The Usefulness of Self-Attention for Automatic Speech Recognition with Transformers. - Shucong Zhang; Erfan Loweimi; Peter Bell 001; Steve Renals (SLT, 2021)

Transformer-Based Streaming ASR with Cumulative Attention. - Mohan Li; Shucong Zhang; Catalin Zorila; Rama Doddipatla (ICASSP, 2022)

Cross-Attention is all you need: Real-Time Streaming Transformers for Personalised Speech Enhancement. - Shucong Zhang; Malcolm Chadwick; Alberto Gil C. P. Ramos; Sourav Bhattacharya (CoRR, 2022)

On the (In)Efficiency of Acoustic Feature Extractors for Self-Supervised Speech Representation Learning. - Titouan Parcollet; Shucong Zhang; Rogier van Dalen; Alberto Gil C. P. Ramos; Sourav Bhattacharya (INTERSPEECH, 2023)

Real-Time Personalised Speech Enhancement Transformers with Dynamic Cross-attended Speaker Representations. - Shucong Zhang; Malcolm Chadwick; Alberto Gil C. P. Ramos; Titouan Parcollet; Rogier van Dalen; Sourav Bhattacharya (INTERSPEECH, 2023)

Sumformer: A Linear-Complexity Alternative to Self-Attention for Speech Recognition. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (CoRR, 2023)

SummaryMixing: A Linear-Complexity Alternative to Self-Attention for Speech Recognition and Understanding. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (INTERSPEECH, 2024)

Linear-Complexity Self-Supervised Learning for Speech Processing. - Shucong Zhang; Titouan Parcollet; Rogier van Dalen; Sourav Bhattacharya (INTERSPEECH, 2024)

Open-Source Conversational AI with SpeechBrain 1.0. - Mirco Ravanelli; Titouan Parcollet; Adel Moumen; Sylvain de Langen; Cem Subakan; Peter Plantinga; Yingzhi Wang 002; Pooneh Mousavi; Luca Della Libera; Artem Ploujnikov; Francesco Paissan; Davide Borra; et al. (CoRR, 2024)

Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Batthacharya (CoRR, 2024)

LeBenchmark 2.0: A standardized, replicable and enhanced framework for self-supervised representations of French speech. - Titouan Parcollet; Ha Nguyen; Solène Evain; Marcely Zanon Boito; Adrien Pupier; Salima Mdhaffar; Hang Le 001; Sina Alisamir; Natalia A. Tomashenko; Marco Dinarelli; Shucong Zhang; Alexandre Allauzen; et al. (Comput. Speech Lang., 2024)

Linear Time Complexity Conformers with SummaryMixing for Streaming Speech Recognition. - Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (ICASSP, 2025)

Benchmarking Rotary Position Embeddings for Automatic Speech Recognition. - Shucong Zhang; Titouan Parcollet; Rogier van Dalen; Sourav Bhattacharya (CoRR, 2025)

Loquacious Set: 25,000 Hours of Transcribed and Diverse English Speech Recognition Data for Research and Commercial Use. - Titouan Parcollet; Yuan Tseng; Shucong Zhang; Rogier van Dalen (CoRR, 2025)

Evaluation of LLMs in Speech is Often Flawed: Test Set Contamination in Large Language Models for Speech Recognition. - Yuan Tseng; Titouan Parcollet; Rogier van Dalen; Shucong Zhang; Sourav Bhattacharya (CoRR, 2025)

Robust Unsupervised Adaptation of a Speech Recogniser Using Entropy Minimisation and Speaker Codes. - Rogier C. van Dalen; Shucong Zhang; Titouan Parcollet; Sourav Bhattacharya (CoRR, 2025)