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Exploring Retraining-Free Speech Recognition for Intra-sentential Code-Switching


Aug 27, 2021
Zhen Huang, Xiaodan Zhuang, Daben Liu, Xiaoqiang Xiao, Yuchen Zhang, Sabato Marco Siniscalchi

* ICASSP2019 12-17 May 2019 

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Adversarial example generation with AdaBelief Optimizer and Crop Invariance


Feb 07, 2021
Bo Yang, Hengwei Zhang, Yuchen Zhang, Kaiyong Xu, Jindong Wang

* 9pages, 3figures, 7tables 

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Task-Oriented Dialogue as Dataflow Synthesis


Oct 02, 2020
Semantic Machines, Jacob Andreas, John Bufe, David Burkett, Charles Chen, Josh Clausman, Jean Crawford, Kate Crim, Jordan DeLoach, Leah Dorner, Jason Eisner, Hao Fang, Alan Guo, David Hall, Kristin Hayes, Kellie Hill, Diana Ho, Wendy Iwaszuk, Smriti Jha, Dan Klein, Jayant Krishnamurthy, Theo Lanman, Percy Liang, Christopher H Lin, Ilya Lintsbakh, Andy McGovern, Aleksandr Nisnevich, Adam Pauls, Dmitrij Petters, Brent Read, Dan Roth, Subhro Roy, Jesse Rusak, Beth Short, Div Slomin, Ben Snyder, Stephon Striplin, Yu Su, Zachary Tellman, Sam Thomson, Andrei Vorobev, Izabela Witoszko, Jason Wolfe, Abby Wray, Yuchen Zhang, Alexander Zotov

* TACL 2020 

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On Localized Discrepancy for Domain Adaptation


Aug 14, 2020
Yuchen Zhang, Mingsheng Long, Jianmin Wang, Michael I. Jordan


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HPC AI500: A Benchmark Suite for HPC AI Systems


Aug 13, 2019
Zihan Jiang, Wanling Gao, Lei Wang, Xingwang Xiong, Yuchen Zhang, Xu Wen, Chunjie Luo, Hainan Ye, Yunquan Zhang, Shengzhong Feng, Kenli Li, Weijia Xu, Jianfeng Zhan


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Bridging Theory and Algorithm for Domain Adaptation


Apr 11, 2019
Yuchen Zhang, Tianle Liu, Mingsheng Long, Michael I. Jordan


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Defending against Whitebox Adversarial Attacks via Randomized Discretization


Mar 25, 2019
Yuchen Zhang, Percy Liang

* In proceedings of the 22nd International Conference on Artificial Intelligence and Statistics 

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Neural Ranking Models for Temporal Dependency Structure Parsing


Sep 02, 2018
Yuchen Zhang, Nianwen Xue

* 11 pages, 2 figures, 7 tables, to appear at EMNLP 2018, Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2018 

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Structured Interpretation of Temporal Relations


Aug 23, 2018
Yuchen Zhang, Nianwen Xue

* Yuchen Zhang and Nianwen Xue. 2018. Structured Interpretation of Temporal Relations. In Proceedings of the 11th Language Resources and Evaluation Conference (LREC-2018), Miyazaki, Japan 
* 9 pages, 2 figures, 8 tables, LREC-2018 

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A Hitting Time Analysis of Stochastic Gradient Langevin Dynamics


Apr 09, 2018
Yuchen Zhang, Percy Liang, Moses Charikar

* Correct two mistakes in the proofs of Lemma 3 and Lemma 5 

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Macro Grammars and Holistic Triggering for Efficient Semantic Parsing


Aug 31, 2017
Yuchen Zhang, Panupong Pasupat, Percy Liang

* EMNLP 2017 

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Convexified Convolutional Neural Networks


Sep 04, 2016
Yuchen Zhang, Percy Liang, Martin J. Wainwright

* 29 pages 

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Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences


Sep 04, 2016
Chi Jin, Yuchen Zhang, Sivaraman Balakrishnan, Martin J. Wainwright, Michael Jordan

* Neural Information Processing Systems (NIPS) 2016 

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Optimal prediction for sparse linear models? Lower bounds for coordinate-separable M-estimators


Nov 30, 2015
Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan

* Add more coverage on related work; add a new lower bound for design matrices satisfying the restricted eigenvalue condition 

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Learning Halfspaces and Neural Networks with Random Initialization


Nov 25, 2015
Yuchen Zhang, Jason D. Lee, Martin J. Wainwright, Michael I. Jordan

* 31 pages 

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$\ell_1$-regularized Neural Networks are Improperly Learnable in Polynomial Time


Oct 13, 2015
Yuchen Zhang, Jason D. Lee, Michael I. Jordan

* 16 pages 

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Splash: User-friendly Programming Interface for Parallelizing Stochastic Algorithms


Sep 23, 2015
Yuchen Zhang, Michael I. Jordan

* redo experiments to learn bigger models; compare Splash with state-of-the-art implementations on Spark 

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Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization


Sep 09, 2015
Yuchen Zhang, Lin Xiao


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Distributed Estimation of Generalized Matrix Rank: Efficient Algorithms and Lower Bounds


Feb 06, 2015
Yuchen Zhang, Martin J. Wainwright, Michael I. Jordan

* 23 pages, 5 figures 

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Communication-Efficient Distributed Optimization of Self-Concordant Empirical Loss


Jan 01, 2015
Yuchen Zhang, Lin Xiao


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Spectral Methods meet EM: A Provably Optimal Algorithm for Crowdsourcing


Nov 01, 2014
Yuchen Zhang, Xi Chen, Dengyong Zhou, Michael I. Jordan


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Optimality guarantees for distributed statistical estimation


Jun 21, 2014
John C. Duchi, Michael I. Jordan, Martin J. Wainwright, Yuchen Zhang

* 34 pages, 1 figure. Preliminary version appearing in Neural Information Processing Systems 2013 (http://papers.nips.cc/paper/4902-information-theoretic-lower-bounds-for-distributed-statistical-estimation-with-communication-constraints

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Divide and Conquer Kernel Ridge Regression: A Distributed Algorithm with Minimax Optimal Rates


Apr 29, 2014
Yuchen Zhang, John C. Duchi, Martin J. Wainwright


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Comunication-Efficient Algorithms for Statistical Optimization


Oct 11, 2013
Yuchen Zhang, John C. Duchi, Martin Wainwright

* 44 pages, to appear in Journal of Machine Learning Research (JMLR) 

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