Attentive Contextual Carryover for Multi-Turn End-to-End Spoken Language Understanding. - Kai Wei; Thanh Tran; Feng-Ju Chang; Kanthashree Mysore Sathyendra; Thejaswi Muniyappa; Jing Liu; Anirudh Raju; Ross McGowan; Nathan Susanj; Ariya Rastrow; Grant P. Strimel (ASRU, 2021)

Revisiting Pretraining with Adapters. - Seungwon Kim; Alex Shum; Nathan Susanj; Jonathan Hilgart (RepL4NLP@ACL-IJCNLP, 2021)

Adaptive Global-Local Context Fusion for Multi-Turn Spoken Language Understanding. - Thanh Tran; Kai Wei; Weitong Ruan; Ross McGowan; Nathan Susanj; Grant P. Strimel (AAAI, 2022)

Tie Your Embeddings Down: Cross-Modal Latent Spaces for End-to-end Spoken Language Understanding. - Bhuvan Agrawal; Markus Müller; Samridhi Choudhary; Martin Radfar; Athanasios Mouchtaris; Ross McGowan; Nathan Susanj; Siegfried Kunzmann (ICASSP, 2022)

A Neural Prosody Encoder for End-to-End Dialogue Act Classification. - Kai Wei; Dillon Knox; Martin Radfar; Thanh Tran; Markus Müller; Grant P. Strimel; Nathan Susanj; Athanasios Mouchtaris; Maurizio Omologo (ICASSP, 2022)

Knowledge Distillation via Module Replacing for Automatic Speech Recognition with Recurrent Neural Network Transducer. - Kaiqi Zhao 002; Hieu Nguyen; Animesh Jain; Nathan Susanj; Athanasios Mouchtaris; Lokesh Gupta; Ming Zhao 002 (INTERSPEECH, 2022)

ConvRNN-T: Convolutional Augmented Recurrent Neural Network Transducers for Streaming Speech Recognition. - Martin Radfar; Rohit Barnwal; Rupak Vignesh Swaminathan; Feng-Ju Chang; Grant P. Strimel; Nathan Susanj; Athanasios Mouchtaris (INTERSPEECH, 2022)

Sub-8-Bit Quantization Aware Training for 8-Bit Neural Network Accelerator with On-Device Speech Recognition. - Kai Zhen; Hieu Duy Nguyen; Raviteja Chinta; Nathan Susanj; Athanasios Mouchtaris; Tariq Afzal; Ariya Rastrow (INTERSPEECH, 2022)

Accelerator-Aware Training for Transducer-Based Speech Recognition. - Suhaila M. Shakiah; Rupak Vignesh Swaminathan; Hieu Duy Nguyen; Raviteja Chinta; Tariq Afzal; Nathan Susanj; Athanasios Mouchtaris; Grant P. Strimel; Ariya Rastrow (SLT, 2022)

Sub-8-Bit Quantization for On-Device Speech Recognition: A Regularization-Free Approach. - Kai Zhen; Martin Radfar; Hieu Duy Nguyen; Grant P. Strimel; Nathan Susanj; Athanasios Mouchtaris (SLT, 2022)

A neural prosody encoder for end-ro-end dialogue act classification. - Kai Wei; Dillon Knox; Martin Radfar; Thanh Tran; Markus Müller; Grant P. Strimel; Nathan Susanj; Athanasios Mouchtaris; Maurizio Omologo (CoRR, 2022)

Gated Contextual Adapters For Selective Contextual Biasing In Neural Transducers. - Anastasios Alexandridis; Kanthashree Mysore Sathyendra; Grant P. Strimel; Feng-Ju Chang; Ariya Rastrow; Nathan Susanj; Athanasios Mouchtaris (ICASSP, 2023)

Multilingual End-To-End Spoken Language Understanding For Ultra-Low Footprint Applications. - Markus Müller; Anastasios Alexandridis; Zach Trozenski; Joel Whiteman; Grant P. Strimel; Nathan Susanj; Athanasios Mouchtaris; Siegfried Kunzmann (ICASSP, 2023)

Conmer: Streaming Conformer Without Self-attention for Interactive Voice Assistants. - Martin Radfar; Paulina Lyskawa; Brandon Trujillo; Yi Xie; Kai Zhen; Jahn Heymann; Denis Filimonov; Grant P. Strimel; Nathan Susanj; Athanasios Mouchtaris (INTERSPEECH, 2023)

Max-Margin Transducer Loss: Improving Sequence-Discriminative Training Using a Large-Margin Learning Strategy. - Rupak Vignesh Swaminathan; Grant P. Strimel; Ariya Rastrow; Sri Harish Mallidi; Kai Zhen; Hieu Duy Nguyen; Nathan Susanj; Athanasios Mouchtaris (ICASSP, 2024)

Wanda++: Pruning Large Language Models via Regional Gradients. - Yifan Yang; Kai Zhen; Bhavana Ganesh; Aram Galstyan; Goeric Huybrechts; Markus Müller; Jonas M. Kübler; Rupak Vignesh Swaminathan; Athanasios Mouchtaris; Sravan Babu Bodapati; Nathan Susanj; Zheng Zhang; et al. (ACL (Findings), 2025)

MaZO: Masked Zeroth-Order Optimization for Multi-Task Fine-Tuning of Large Language Models. - Zhen Zhang; Yifan Yang; Kai Zhen; Nathan Susanj; Athanasios Mouchtaris; Siegfried Kunzmann; Zheng Zhang (CoRR, 2025)

Saten: Sparse Augmented Tensor Networks for Post-Training Compression of Large Language Models. - Ryan Solgi; Kai Zhen; Rupak Vignesh Swaminathan; Nathan Susanj; Athanasios Mouchtaris; Siegfried Kunzmann; Zheng Zhang 005 (CoRR, 2025)

SharpZO: Hybrid Sharpness-Aware Vision Language Model Prompt Tuning via Forward-Only Passes. - Yifan Yang; Zhen Zhang; Rupak Vignesh Swaminathan; Jing Liu; Nathan Susanj; Zheng Zhang (CoRR, 2025)