Wei Zhang - RankMe

63 papers A* 17A 6Misc 3Journal 31Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Automated Customization of LLMs for Enterprise Code Repositories Using Semantic Scopes. CoRR Ulrich Finkler, Irene Manotas, Wei Zhang, Geert Janssen, Octavian Popescu, Shyam Ramji
2023	J	`jnl`	Activity-weight duality in feed-forward neural networks reveals two co-determinants for generalization. Nat. Mac. Intell. Yu Feng, Wei Zhang, Yuhai Tu
2023	J	`jnl`	Soft Random Sampling: A Theoretical and Empirical Analysis. CoRR Xiaodong Cui, Ashish R. Mittal, Songtao Lu, Wei Zhang, George Saon, Brian Kingsbury
2022	A*	`conf`	Robustness to Unbounded Smoothness of Generalized SignSGD. NeurIPS Michael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang, Zhenxun Zhuang
2022	J	`jnl`	Robustness to Unbounded Smoothness of Generalized SignSGD. CoRR Michael Crawshaw, Mingrui Liu, Francesco Orabona, Wei Zhang, Zhenxun Zhuang
2021	A	`conf`	4-Bit Quantization of LSTM-Based Speech Recognition Models. Interspeech Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
2021	J	`jnl`	4-bit Quantization of LSTM-based Speech Recognition Models. CoRR Andrea Fasoli, Chia-Yu Chen, Mauricio J. Serrano, Xiao Sun, Naigang Wang, Swagath Venkataramani, George Saon, Xiaodong Cui, Brian Kingsbury, Wei Zhang, Zoltán Tüske, Kailash Gopalakrishnan
2021	J	`jnl`	Asynchronous Decentralized Distributed Training of Acoustic Models. CoRR Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung
2021	J	`jnl`	Asynchronous Decentralized Distributed Training of Acoustic Models. IEEE ACM Trans. Audio Speech Lang. Process. Xiaodong Cui, Wei Zhang, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung
2021	—	`conf`	CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. NeurIPS Datasets and Benchmarks Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Shyam Ramji, Ulrich Finkler, Susan Malaika, Frederick Reiss
2021	J	`jnl`	Loss Landscape Dependent Self-Adjusting Learning Rates in Decentralized Stochastic Gradient Descent. CoRR Wei Zhang, Mingrui Liu, Yu Feng, Xiaodong Cui, Brian Kingsbury, Yuhai Tu
2021	J	`jnl`	Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks. CoRR Ruchir Puri, David S. Kung, Geert Janssen, Wei Zhang, Giacomo Domeniconi, Vladimir Zolotov, Julian Dolby, Jie Chen, Mihir R. Choudhury, Lindsey Decker, Veronika Thost, Luca Buratti, Saurabh Pujar, Ulrich Finkler
2021	J	`jnl`	ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. CoRR Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
2020	A*	`conf`	A Decentralized Parallel Algorithm for Training Generative Adversarial Nets. NeurIPS Mingrui Liu, Wei Zhang, Youssef Mroueh, Xiaodong Cui, Jarret Ross, Tianbao Yang, Payel Das
2020	J	`jnl`	Adam CoRR Mingrui Liu, Wei Zhang, Francesco Orabona, Tianbao Yang
2020	J	`jnl`	Change Detection from Remote Sensing to Guide OpenStreetMap Labeling. ISPRS Int. J. Geo Inf. 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, Carlo Siebenschuh, Siyuan Lu
2020	J	`jnl`	Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition. CoRR Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung
2020	J	`jnl`	Distributed Training of Deep Neural Network Acoustic Models for Automatic Speech Recognition: A comparison of current training strategies. IEEE Signal Process. Mag. Xiaodong Cui, Wei Zhang, Ulrich Finkler, George Saon, Michael Picheny, David S. Kung
2020	Misc	`conf`	Improving Efficiency in Large-Scale Decentralized Distributed Training. ICASSP Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
2020	J	`jnl`	Improving Efficiency in Large-Scale Decentralized Distributed Training. CoRR Wei Zhang, Xiaodong Cui, Abdullah Kayi, Mingrui Liu, Ulrich Finkler, Brian Kingsbury, George Saon, Youssef Mroueh, Alper Buyuktosunoglu, Payel Das, David S. Kung, Michael Picheny
2020	A*	`conf`	Map Generation from Large Scale Incomplete and Inaccurate Data Labels. KDD Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
2020	J	`jnl`	Map Generation from Large Scale Incomplete and Inaccurate Data Labels. CoRR Rui Zhang, Conrad M. Albrecht, Wei Zhang, Xiaodong Cui, Ulrich Finkler, David S. Kung, Siyuan Lu
2020	A*	`conf`	ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. NeurIPS Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
2020	A*	`conf`	Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. ICLR Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang
2019	J	`jnl`	A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition. CoRR Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny
2019	A	`conf`	A Highly Efficient Distributed Deep Learning System for Automatic Speech Recognition. INTERSPEECH Wei Zhang, Xiaodong Cui, Ulrich Finkler, George Saon, Abdullah Kayi, Alper Buyuktosunoglu, Brian Kingsbury, David S. Kung, Michael Picheny
2019	J	`jnl`	Decentralized Parallel Algorithm for Training Generative Adversarial Nets. CoRR Mingrui Liu, Youssef Mroueh, Wei Zhang, Xiaodong Cui, Jerret Ross, Tianbao Yang, Payel Das
2019	J	`jnl`	Distributed Deep Learning Strategies For Automatic Speech Recognition. CoRR Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny
2019	Misc	`conf`	Distributed Deep Learning Strategies for Automatic Speech Recognition. ICASSP Wei Zhang, Xiaodong Cui, Ulrich Finkler, Brian Kingsbury, George Saon, David S. Kung, Michael Picheny
2019	A*	`conf`	Hybrid 8-bit Floating Point (HFP8) Training and Inference for Deep Neural Networks. NeurIPS Xiao Sun, Jungwook Choi, Chia-Yu Chen, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Xiaodong Cui, Wei Zhang, Kailash Gopalakrishnan
2019	A	`conf`	Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition. INTERSPEECH Khoi-Nguyen C. Mac, Xiaodong Cui, Wei Zhang, Michael Picheny
2019	J	`jnl`	Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition. CoRR Khoi-Nguyen C. Mac, Xiaodong Cui, Wei Zhang, Michael Picheny
2019	J	`jnl`	Towards Better Understanding of Adaptive Gradient Algorithms in Generative Adversarial Nets. CoRR Mingrui Liu, Youssef Mroueh, Jerret Ross, Wei Zhang, Xiaodong Cui, Payel Das, Tianbao Yang
2018	A*	`conf`	Asynchronous Decentralized Parallel Stochastic Gradient Descent. ICML Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu
2018	A*	`conf`	Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks. NeurIPS Xiaodong Cui, Wei Zhang, Zoltán Tüske, Michael Picheny
2018	J	`jnl`	Evolutionary Stochastic Gradient Descent for Optimization of Deep Neural Networks. CoRR Xiaodong Cui, Wei Zhang, Zoltán Tüske, Michael Picheny
2018	—	`conf`	Forecast of Solar Energy Production - A Deep Learning Approach. ICBK Rui Zhang, Minwei Feng, Wei Zhang, Siyuan Lu, Fei Wang
2017	A*	`conf`	Accelerator Design for Deep Learning Training: Extended Abstract: Invited. DAC Ankur Agrawal, Chia-Yu Chen, Jungwook Choi, Kailash Gopalakrishnan, Jinwook Oh, Sunil Shukla, Viji Srinivasan, Swagath Venkataramani, Wei Zhang
2017	J	`jnl`	Asynchronous Decentralized Parallel Stochastic Gradient Descent. CoRR Xiangru Lian, Wei Zhang, Ce Zhang, Ji Liu
2017	—	`conf`	Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. NIPS Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
2017	J	`jnl`	Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. CoRR Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, Ji Liu
2017	A*	`conf`	Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. IJCAI Suyog Gupta, Wei Zhang, Fei Wang
2016	—	`conf`	AQuA: adaptive quality analytics. DEBS Wei Zhang, Martin Hirzel, David Grove
2016	J	`jnl`	META: Middleware for Events, Transactions, and Analytics. IBM J. Res. Dev. 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, Wei Zhang
2016	A*	`conf`	Model Accuracy and Runtime Tradeoff in Distributed Deep Learning: A Systematic Study. ICDM Suyog Gupta, Wei Zhang, Fei Wang
2016	A*	`conf`	Staleness-Aware Async-SGD for Distributed Deep Learning. IJCAI Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu
2016	J	`jnl`	X10 and APGAS at Petascale. ACM Trans. Parallel Comput. Olivier Tardieu, Benjamin Herta, David Cunningham, David Grove, Prabhanjan Kambadur, Vijay A. Saraswat, Avraham Shinnar, Mikio Takeuchi, Mandana Vaziri, Wei Zhang
2015	J	`jnl`	Fixing, preventing, and recovering from concurrency bugs. Sci. China Inf. Sci. Dongdong Deng, Guoliang Jin, Marc de Kruijf, Ang Li, Ben Liblit, Shan Lu, Shanxiang Qi, Jinglei Ren, Karthikeyan Sankaralingam, Linhai Song, Yongwei Wu, Mingxing Zhang, Wei Zhang, Weimin Zheng
2015	J	`jnl`	Model Accuracy and Runtime Tradeoff in Distributed Deep Learning. CoRR Suyog Gupta, Wei Zhang, Josh Milthorpe
2015	J	`jnl`	Staleness-aware Async-SGD for Distributed Deep Learning. CoRR Wei Zhang, Suyog Gupta, Xiangru Lian, Ji Liu
2014	—	`conf`	GLB: lifeline-based global load balancing library in x10. PPAA@PPoPP Wei Zhang, Olivier Tardieu, David Grove, Benjamin Herta, Tomio Kamada, Vijay A. Saraswat, Mikio Takeuchi
2013	A*	`conf`	ConAir: featherweight concurrency bug recovery via single-threaded idempotent execution. ASPLOS Wei Zhang, Marc de Kruijf, Ang Li, Shan Lu, Karthikeyan Sankaralingam
2013	J	`jnl`	ConMem: Detecting Crash-Triggering Concurrency Bugs through an Effect-Oriented Approach. ACM Trans. Softw. Eng. Methodol. Wei Zhang, Chong Sun, Junghee Lim, Shan Lu, Thomas W. Reps
2013	A	`conf`	Efficient concurrency-bug detection across inputs. OOPSLA Dongdong Deng, Wei Zhang, Shan Lu
2013	J	`jnl`	GLB: Lifeline-based Global Load Balancing library in X10. CoRR Wei Zhang, Olivier Tardieu, David Grove, Benjamin Herta, Tomio Kamada, Vijay A. Saraswat, Mikio Takeuchi
2012	A*	`conf`	Automated Concurrency-Bug Fixing. OSDI Guoliang Jin, Wei Zhang, Dongdong Deng
2012	—	`conf`	Understanding the Interleaving-Space Overlap across Inputs and Software Versions. HotPar Dongdong Deng, Wei Zhang, Borui Wang, Peisen Zhao, Shan Lu
2011	A*	`conf`	Automated atomicity-violation fixing. PLDI Guoliang Jin, Linhai Song, Wei Zhang, Shan Lu, Ben Liblit
2011	A*	`conf`	ConSeq: detecting concurrency bugs through sequential errors. ASPLOS Wei Zhang, Junghee Lim, Ramya Olichandran, Joel Scherpelz, Guoliang Jin, Shan Lu, Thomas W. Reps
2010	A	`conf`	Applying scalable phonetic context similarity in unit selection of concatenative text-to-speech. INTERSPEECH Wei Zhang, Xiaodong Cui
2010	A*	`conf`	ConMem: detecting severe concurrency bugs through an effect-oriented approach. ASPLOS Wei Zhang, Chong Sun, Shan Lu
2008	Misc	`conf`	Developing high performance asr in the IBM multilingual speech-to-speech translation system. ICASSP Xiaodong Cui, Liang Gu, Bing Xiang, Wei Zhang, Yuqing Gao
2005	A	`conf`	Toward multiple-language TTS: experiments in English and Mandarin. INTERSPEECH Raul Fernandez, Wei Zhang, Ellen Eide, Raimo Bakis, Wael Hamza, Yi Liu, Michael Picheny, John F. Pitrelli, Yong Qing, Zhiwei Shuang, Li Qin Shen