Toward multiple-language TTS: experiments in English and Mandarin. - Raul Fernandez; Wei Zhang 022; Ellen Eide; Raimo Bakis; Wael Hamza; Yi Liu; Michael Picheny; John F. Pitrelli; Yong Qing; Zhiwei Shuang; Li Qin Shen (INTERSPEECH, 2005)

Developing high performance asr in the IBM multilingual speech-to-speech translation system. - Xiaodong Cui; Liang Gu; Bing Xiang; Wei Zhang 022; Yuqing Gao (ICASSP, 2008)

ConMem: detecting severe concurrency bugs through an effect-oriented approach. - Wei Zhang 022; Chong Sun; Shan Lu 001 (ASPLOS, 2010)

Applying scalable phonetic context similarity in unit selection of concatenative text-to-speech. - Wei Zhang 022; Xiaodong Cui (INTERSPEECH, 2010)

ConSeq: detecting concurrency bugs through sequential errors. - Wei Zhang 022; Junghee Lim; Ramya Olichandran; Joel Scherpelz; Guoliang Jin; Shan Lu 001; Thomas W. Reps (ASPLOS, 2011)

Automated atomicity-violation fixing. - Guoliang Jin; Linhai Song; Wei Zhang 022; Shan Lu 001; Ben Liblit (PLDI, 2011)

Understanding the Interleaving-Space Overlap across Inputs and Software Versions. - Dongdong Deng; Wei Zhang 022; Borui Wang; Peisen Zhao; Shan Lu 001 (HotPar, 2012)

Automated Concurrency-Bug Fixing. - Guoliang Jin; Wei Zhang 022; Dongdong Deng (OSDI, 2012)

ConAir: featherweight concurrency bug recovery via single-threaded idempotent execution. - Wei Zhang 022; Marc de Kruijf; Ang Li; Shan Lu 001; Karthikeyan Sankaralingam (ASPLOS, 2013)

Efficient concurrency-bug detection across inputs. - Dongdong Deng; Wei Zhang 022; Shan Lu 001 (OOPSLA, 2013)

ConMem: Detecting Crash-Triggering Concurrency Bugs through an Effect-Oriented Approach. - Wei Zhang 022; Chong Sun; Junghee Lim; Shan Lu 001; Thomas W. Reps (ACM Trans. Softw. Eng. Methodol., 2013)

GLB: lifeline-based global load balancing library in x10. - Wei Zhang 022; Olivier Tardieu; David Grove; Benjamin Herta; Tomio Kamada; Vijay A. Saraswat; Mikio Takeuchi (PPAA@PPoPP, 2014)

Fixing, preventing, and recovering from concurrency bugs. - Dongdong Deng; Guoliang Jin; Marc de Kruijf; Ang Li; Ben Liblit; Shan Lu 001; Shanxiang Qi; Jinglei Ren; Karthikeyan Sankaralingam; Linhai Song; Yongwei Wu 001; Mingxing Zhang; et al. (Sci. China Inf. Sci., 2015)

Model Accuracy and Runtime Tradeoff in Distributed Deep Learning. - Suyog Gupta; Wei Zhang 022; Josh Milthorpe (CoRR, 2015)

AQuA: adaptive quality analytics. - Wei Zhang 022; Martin Hirzel; David Grove (DEBS, 2016)

Staleness-Aware Async-SGD for Distributed Deep Learning. - Wei Zhang 022; Suyog Gupta; Xiangru Lian; Ji Liu 002 (IJCAI, 2016)

META: Middleware for Events, Transactions, and Analytics. - Matthew Arnold; David Grove; Benjamin Herta; Michael Hind; Martin Hirzel; Arun Iyengar; Louis Mandel; Vijay A. Saraswat; Avraham Shinnar; Jérôme Siméon; Mikio Takeuchi; Olivier Tardieu; et al. (IBM J. Res. Dev., 2016)

X10 and APGAS at Petascale. - Olivier Tardieu; Benjamin Herta; David Cunningham; David Grove; Prabhanjan Kambadur; Vijay A. Saraswat; Avraham Shinnar; Mikio Takeuchi; Mandana Vaziri; Wei Zhang 022 (ACM Trans. Parallel Comput., 2016)

Accelerator Design for Deep Learning Training: Extended Abstract: Invited. - Ankur Agrawal; Chia-Yu Chen; Jungwook Choi; Kailash Gopalakrishnan; Jinwook Oh; Sunil Shukla; Viji Srinivasan; Swagath Venkataramani; Wei Zhang 022 (DAC, 2017)

Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. - Suyog Gupta; Wei Zhang 022; Fei Wang 001 (IJCAI, 2017)

Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. - Xiangru Lian; Ce Zhang 001; Huan Zhang 001; Cho-Jui Hsieh; Wei Zhang 022; Ji Liu 002 (NIPS, 2017)

Forecast of Solar Energy Production - A Deep Learning Approach. - Rui Zhang; Minwei Feng; Wei Zhang 022; Siyuan Lu 003; Fei Wang 001 (ICBK, 2018)

Asynchronous Decentralized Parallel Stochastic Gradient Descent. - Xiangru Lian; Wei Zhang 022; Ce Zhang 001; Ji Liu 002 (ICML, 2018)

Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks. - Xiaodong Cui; Wei Zhang 022; Zoltán Tüske; Michael Picheny (NeurIPS, 2018)

Distributed Deep Learning Strategies for Automatic Speech Recognition. - Wei Zhang 022; Xiaodong Cui; Ulrich Finkler; Brian Kingsbury; George Saon; David S. Kung 001; Michael Picheny (ICASSP, 2019)

Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition. - Khoi-Nguyen C. Mac; Xiaodong Cui; Wei Zhang 022; Michael Picheny (INTERSPEECH, 2019)

A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. - Wei Zhang 022; Xiaodong Cui; Ulrich Finkler; George Saon; Abdullah Kayi; Alper Buyuktosunoglu; Brian Kingsbury; David S. Kung 001; Michael Picheny (INTERSPEECH, 2019)

Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks. - Xiao Sun 013; Jungwook Choi; Chia-Yu Chen; Naigang Wang; Swagath Venkataramani; Vijayalakshmi Srinivasan; Xiaodong Cui; Wei Zhang 022; Kailash Gopalakrishnan (NeurIPS, 2019)

Decentralized Parallel Algorithm for Training Generative Adversarial Nets. - Mingrui Liu; Youssef Mroueh; Wei Zhang 022; Xiaodong Cui; Jerret Ross; Tianbao Yang; Payel Das (CoRR, 2019)

Improving Efficiency in Large-Scale Decentralized Distributed Training. - Wei Zhang 022; Xiaodong Cui; Abdullah Kayi; Mingrui Liu; Ulrich Finkler; Brian Kingsbury; George Saon; Youssef Mroueh; Alper Buyuktosunoglu; Payel Das; David S. Kung 001; Michael Picheny (ICASSP, 2020)

Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. - Mingrui Liu; Youssef Mroueh; Jerret Ross; Wei Zhang 022; Xiaodong Cui; Payel Das; Tianbao Yang (ICLR, 2020)

Map Generation from Large Scale Incomplete and Inaccurate Data Labels. - Rui Zhang; Conrad M. Albrecht; Wei Zhang 022; Xiaodong Cui; Ulrich Finkler; David S. Kung 001; Siyuan Lu 003 (KDD, 2020)

ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. - Chia-Yu Chen; Jiamin Ni; Songtao Lu; Xiaodong Cui; Pin-Yu Chen; Xiao Sun 013; Naigang Wang; Swagath Venkataramani; Vijayalakshmi Srinivasan; Wei Zhang 022; Kailash Gopalakrishnan (NeurIPS, 2020)

A Decentralized Parallel Algorithm for Training Generative Adversarial Nets. - Mingrui Liu; Wei Zhang 022; Youssef Mroueh; Xiaodong Cui; Jarret Ross; Tianbao Yang; Payel Das (NeurIPS, 2020)

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition. - Xiaodong Cui; Wei Zhang 022; Ulrich Finkler; George Saon; Michael Picheny; David S. Kung 001 (CoRR, 2020)

Adam+: A Stochastic Method with Adaptive Variance Reduction. - Mingrui Liu; Wei Zhang 022; Francesco Orabona; Tianbao Yang (CoRR, 2020)

Change Detection from Remote Sensing to Guide OpenStreetMap Labeling. - Conrad M. Albrecht; Rui Zhang; Xiaodong Cui; Marcus Freitag; Hendrik F. Hamann; Levente J. Klein; Ulrich Finkler; Fernando J. Marianno; Johannes Schmude; Norman Bobroff; Wei Zhang 022; Carlo Siebenschuh; et al. (ISPRS Int. J. Geo Inf., 2020)

Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies. - Xiaodong Cui; Wei Zhang 022; Ulrich Finkler; George Saon; Michael Picheny; David S. Kung 001 (IEEE Signal Process. Mag., 2020)

4-Bit Quantization of LSTM-Based Speech Recognition Models. - Andrea Fasoli; Chia-Yu Chen; Mauricio J. Serrano; Xiao Sun 013; Naigang Wang; Swagath Venkataramani; George Saon; Xiaodong Cui; Brian Kingsbury; Wei Zhang 022; Zoltán Tüske; Kailash Gopalakrishnan (Interspeech, 2021)

CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. - Ruchir Puri; David S. Kung 001; Geert Janssen; Wei Zhang 022; Giacomo Domeniconi; Vladimir Zolotov; Julian Dolby; Jie Chen 007; Mihir R. Choudhury; Lindsey Decker; Veronika Thost; Luca Buratti; et al. (NeurIPS Datasets and Benchmarks, 2021)

Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. - Ruchir Puri; David S. Kung 001; Geert Janssen; Wei Zhang 022; Giacomo Domeniconi; Vladimir Zolotov; Julian Dolby; Jie Chen 007; Mihir R. Choudhury; Lindsey Decker; Veronika Thost; Luca Buratti; et al. (CoRR, 2021)

Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. - Wei Zhang 022; Mingrui Liu; Yu Feng 004; Xiaodong Cui; Brian Kingsbury; Yuhai Tu (CoRR, 2021)

Asynchronous Decentralized Distributed Training of Acoustic Models. - Xiaodong Cui; Wei Zhang 022; Abdullah Kayi; Mingrui Liu; Ulrich Finkler; Brian Kingsbury; George Saon; David S. Kung 001 (IEEE ACM Trans. Audio Speech Lang. Process., 2021)

Robustness to Unbounded Smoothness of Generalized SignSGD. - Michael Crawshaw; Mingrui Liu; Francesco Orabona; Wei Zhang 022; Zhenxun Zhuang (NeurIPS, 2022)

Soft Random Sampling: A Theoretical and Empirical Analysis. - Xiaodong Cui; Ashish R. Mittal; Songtao Lu; Wei Zhang 022; George Saon; Brian Kingsbury (CoRR, 2023)

Activity-weight duality in feed-forward neural networks reveals two co-determinants for generalization. - Yu Feng 004; Wei Zhang 022; Yuhai Tu (Nat. Mac. Intell., 2023)