Non-coherent multi-user detection of DPSK signals after differential demodulation. - David Qiu; Frederick J. Block (Allerton, 2013)

Phase and power estimation for per-hop multi-user detection in frequency-hopping systems. - David Qiu; Thomas C. Royster IV; Frederick J. Block (Allerton, 2013)

Alternatives for Supporting Multiple Cryptographically-Isolated User Groups in Frequency-Hopping Systems. - Frederick J. Block; David Qiu; Thomas C. Royster IV (MILCOM, 2013)

Probabilistic Clustering using Maximal Matrix Norm Couplings. - David Qiu; Anuran Makur; Lizhong Zheng (Allerton, 2018)

Confidence Estimation for Attention-Based Sequence-to-Sequence Models for Speech Recognition. - Qiujia Li; David Qiu; Yu Zhang 033; Bo Li 028; Yanzhang He; Philip C. Woodland; Liangliang Cao; Trevor Strohman (ICASSP, 2021)

Learning Word-Level Confidence for Subword End-To-End ASR. - David Qiu; Qiujia Li; Yanzhang He; Yu Zhang 033; Bo Li 028; Liangliang Cao; Rohit Prabhavalkar; Deepti Bhatia; Wei Li 133; Ke Hu; Tara N. Sainath; Ian McGraw (ICASSP, 2021)

Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction. - David Qiu; Yanzhang He; Qiujia Li; Yu Zhang 033; Liangliang Cao; Ian McGraw (Interspeech, 2021)

Large-Scale ASR Domain Adaptation Using Self- and Semi-Supervised Learning. - Dongseong Hwang; Ananya Misra; Zhouyuan Huo; Nikhil Siddhartha; Shefali Garg; David Qiu; Khe Chai Sim; Trevor Strohman; Françoise Beaufays; Yanzhang He (ICASSP, 2022)

Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition. - Qiujia Li; Yu Zhang 033; David Qiu; Yanzhang He; Liangliang Cao; Philip C. Woodland (ICASSP, 2022)

Improving The Latency And Quality Of Cascaded Encoders. - Tara N. Sainath; Yanzhang He; Arun Narayanan; Rami Botros; Weiran Wang; David Qiu; Chung-Cheng Chiu; Rohit Prabhavalkar; Alexander Gruenstein; Anmol Gulati; Bo Li 028; David Rybach; et al. (ICASSP, 2022)

Flickering Reduction with Partial Hypothesis Reranking for Streaming ASR. - Antoine Bruguier; David Qiu; Trevor Strohman; Yanzhang He (SLT, 2022)

Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition. - David Qiu; Tsendsuren Munkhdalai; Yanzhang He; Khe Chai Sim (SLT, 2022)

Efficient Cascaded Streaming ASR System Via Frame Rate Reduction. - Xingyu Cai; David Qiu; Shaojin Ding; Dongseong Hwang; Weiran Wang; Antoine Bruguier; Rohit Prabhavalkar; Tara N. Sainath; Yanzhang He (ASRU, 2023)

The Role of Feature Correlation on Quantized Neural Networks. - David Qiu; Shaojin Ding; Yanzhang He (ASRU, 2023)

2-bit Conformer quantization for automatic speech recognition. - Oleg Rybakov; Phoenix Meadowlark; Shaojin Ding; David Qiu; Jian Li; David Rim; Yanzhang He (INTERSPEECH, 2023)

RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models. - David Qiu; David Rim; Shaojin Ding; Oleg Rybakov; Yanzhang He (CoRR, 2023)

Partial Rewriting for Multi-Stage ASR. - Antoine Bruguier; David Qiu; Yanzhang He (CoRR, 2023)

Natural Language Processing for Extracting Rich Disease Data Aligned To Satellite Meteorological Data. - Mahi Pasarkar; Junseob Kim; Eoin O'Gara; Alan Zhang; Malik Magdon-Ismail; Thilanka Munasinghe; Jiaqi Weng; David Qiu; Ethan Cruz; Jennifer C. Wei; Ashan Pathirana (IEEE Big Data, 2024)

Graph Representation Learning for Dengue Forecasting. - Jiaqi Weng; David Qiu; Ethan Cruz; Malik Magdon-Ismail; Thilanka Munasinghe; Jennifer C. Wei; Ashan Pathirana; Mahi Pasarkar (IEEE Big Data, 2024)

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models. - Shaojin Ding; David Qiu; David Rim; Yanzhang He; Oleg Rybakov; Bo Li 028; Rohit Prabhavalkar; Weiran Wang; Tara N. Sainath; Zhonglin Han; Jian Li; Amir Yazdanbakhsh; et al. (ICASSP, 2024)

Rand: Robustness Aware Norm Decay for Quantized Neural Networks. - David Qiu; David Rim; Shaojin Ding; Oleg Rybakov; Yanzhang He (SLT, 2024)

Apple Intelligence Foundation Language Models. - Tom Gunter; Zirui Wang; Chong Wang; Ruoming Pang; Andy Narayanan; Aonan Zhang; Bowen Zhang 002; Chen Chen 005; Chung-Cheng Chiu; David Qiu; Deepak Gopinath; Dian Ang Yap; et al. (CoRR, 2024)

Interleaved Reasoning for Large Language Models via Reinforcement Learning. - Roy Xie; David Qiu; Deepak Gopinath; Dong Lin; Yanchao Sun; Chong Wang; Saloni Potdar; Bhuwan Dhingra (CoRR, 2025)

AXLearn: Modular Large Model Training on Heterogeneous Infrastructure. - Mark Lee; Tom Gunter; Chang Lan; John Peebles; Hanzhi Zhou; Kelvin Zou; Sneha Bangalore; Chung-Cheng Chiu; Nan Du; Xianzhi Du; Philipp Dufter; Ruixuan Hou; et al. (CoRR, 2025)