David Qiu

According to our database, David Qiu authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Apple Intelligence Foundation Language Models.

Tom Gunter, Zirui Wang, Chong Wang, Ruoming Pang, Andy Narayanan, Aonan Zhang, Bowen Zhang, Chen Chen, Chung-Cheng Chiu, David Qiu, Deepak Gopinath, Dian Ang Yap, Dong Yin, Feng Nan, Floris Weers, Guoli Yin, Haoshuo Huang, Jianyu Wang, Jiarui Lu, John Peebles, Ke Ye, Mark Lee, Nan Du, Qibin Chen, Quentin Keunebroek, Sam Wiseman, Syd Evans, Tao Lei, Vivek Rathod, Xiang Kong, Xianzhi Du, Yanghao Li, Yongqiang Wang, Yuan Gao, Zaid Ahmed, Zhaoyang Xu, Zhiyun Lu, Al Rashid, Albin Madappally Jose, Alec Doane, Alfredo Bencomo, Allison Vanderby, Andrew Hansen, Ankur Jain, Anupama Mann Anupama, Areeba Kamal, Bugu Wu, Carolina Brum, Charlie Maalouf, Chinguun Erdenebileg, Chris Dulhanty, Dominik Moritz, Doug Kang, Eduardo Jimenez, Evan Ladd, Fangping Shi, Felix Bai, Frank Chu, Fred Hohman, Hadas Kotek, Hannah Gillis Coleman, Jane Li, Jeffrey P. Bigham, Jeffery Cao, Jeff Lai, Jessica Cheung, Jiulong Shan, Joe Zhou, John Li, Jun Qin, Karanjeet Singh, Karla Vega, Kelvin Zou, Laura Heckman, Lauren Gardiner, Margit Bowler, Maria Cordell, Meng Cao, Nicole Hay, Nilesh Shahdadpuri, Otto Godwin, Pranay Dighe, Pushyami Rachapudi, Ramsey Tantawi, Roman Frigg, Sam Davarnia, Sanskruti Shah, Saptarshi Guha, Sasha Sirovica, Shen Ma, Shuang Ma, Simon Wang, Sulgi Kim, Suma Jayaram, Vaishaal Shankar, Varsha Paidi, Vivek Kumar, Xin Wang, Xin Zheng, Walker Cheng

CoRR, 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, Rohit Prabhavalkar, Weiran Wang, Tara N. Sainath, Zhonglin Han, Jian Li, Amir Yazdanbakhsh, Shivani Agrawal

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Partial Rewriting for Multi-Stage ASR.

Antoine Bruguier, David Qiu, Yanzhang He

CoRR, 2023

RAND: Robustness Aware Norm Decay For Quantized Seq2seq Models.

David Qiu, David Rim, Shaojin Ding, Oleg Rybakov, Yanzhang He

CoRR, 2023

2-bit Conformer quantization for automatic speech recognition.

Oleg Rybakov, Phoenix Meadowlark, Shaojin Ding, David Qiu, Jian Li, David Rim, Yanzhang He

Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

The Role of Feature Correlation on Quantized Neural Networks.

David Qiu, Shaojin Ding, Yanzhang He

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

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

Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2023

2022

Context-Aware Neural Confidence Estimation for Rare Word Speech Recognition.

David Qiu, Tsendsuren Munkhdalai, Yanzhang He, Khe Chai Sim

Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Flickering Reduction with Partial Hypothesis Reranking for Streaming ASR.

Antoine Bruguier, David Qiu, Trevor Strohman, Yanzhang He

Proceedings of the IEEE Spoken Language Technology Workshop, 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, David Rybach, Emmanuel Guzman, Ian McGraw, James Qin, Krzysztof Choromanski, Qiao Liang, Robert David, Ruoming Pang, Shuo-Yiin Chang, Trevor Strohman, W. Ronny Huang, Wei Han, Yonghui Wu, Yu Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Confidence Estimation on Out-of-Domain Data for End-to-End Speech Recognition.

Qiujia Li, Yu Zhang, David Qiu, Yanzhang He, Liangliang Cao, Philip C. Woodland

Proceedings of the IEEE International Conference on Acoustics, 2022

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

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction.

David Qiu, Yanzhang He, Qiujia Li, Yu Zhang, Liangliang Cao, Ian McGraw

Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Learning Word-Level Confidence for Subword End-To-End ASR.

David Qiu, Qiujia Li, Yanzhang He, Yu Zhang, Bo Li, Liangliang Cao, Rohit Prabhavalkar, Deepti Bhatia, Wei Li, Ke Hu, Tara N. Sainath, Ian McGraw

Proceedings of the IEEE International Conference on Acoustics, 2021

Confidence Estimation for Attention-Based Sequence-to-Sequence Models for Speech Recognition.

Qiujia Li, David Qiu, Yu Zhang, Bo Li, Yanzhang He, Philip C. Woodland, Liangliang Cao, Trevor Strohman

Proceedings of the IEEE International Conference on Acoustics, 2021

2018

Probabilistic Clustering using Maximal Matrix Norm Couplings.

David Qiu, Anuran Makur, Lizhong Zheng

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2013

Alternatives for Supporting Multiple Cryptographically-Isolated User Groups in Frequency-Hopping Systems.

Frederick J. Block, David Qiu, Thomas C. Royster IV

Proceedings of the 32th IEEE Military Communications Conference, 2013

Phase and power estimation for per-hop multi-user detection in frequency-hopping systems.

David Qiu, Thomas C. Royster IV, Frederick J. Block

Proceedings of the 51st Annual Allerton Conference on Communication, 2013

Non-coherent multi-user detection of DPSK signals after differential demodulation.

David Qiu, Frederick J. Block

Proceedings of the 51st Annual Allerton Conference on Communication, 2013