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Jian Zhang 0049
Person information
- affiliation: Stanford University, Department of Computer Science, Stanford, CA, USA
- affiliation (2013 - 2015): ETH Zurich, Switzerland
- affiliation (2009 - 2013): Tsinghua University, Beijing, China
Other persons with the same name
- Jian Zhang (aka: Ji'an Zhang) — disambiguation page
- Jian Zhang 0001
— Chinese Academy of Science, Institute of Software, China
- Jian Zhang 0002
- Jian Zhang 0003 — Purdue University, Department of Statistics, West Lafayette, IN, USA (and 2 more)
- Jian Zhang 0004 — Louisiana State University, Department of Computer Science, Baton Rouge, LA, USA (and 3 more)
- Jian Zhang 0005 — Microsoft Corp., Redmond, WA, USA (and 1 more)
- Jian Zhang 0006 — Drexel University, Philadelphia, PA, USA
- Jian Zhang 0007 — Tulane University, New Orleans, USA
- Jian Zhang 0008 — The University of York, Department of Mathematics, UK
- Jian Zhang 0009 — East China University of Science and Technology, China
- Jian Zhang 0010
- Jian Zhang 0011
- Jian Zhang 0012
- Jian Zhang 0013
- Jian Zhang 0014
- Jian Zhang 0015
- Jian Zhang 0016
- Jian Zhang 0017
- Jian Zhang 0018
- Jian Zhang 0019
- Jian Zhang 0020
- Jian Zhang 0021
- Jian Zhang 0022
- Jian Zhang 0023
- Jian Zhang 0024
- Jian Zhang 0025 — Huaihai Institute of Technology, Department of Computer Engineering, Lianyungang, China (and 1 more)
- Jian Zhang 0026
- Jian Zhang 0027 — Hebei Polytechnic University, College of Information, Tangshan, China
- Jian Zhang 0028
- Jian Zhang 0029 — Arizona State University, Tempe, USA
- Jian Zhang 0030 — University of Technology of Troyes, France
- Jian Zhang 0031 — University of Darmstadt, Germany
- Jian Zhang 0032
- Jian Zhang 0033
- Jian Zhang 0034
- Jian Zhang 0035
- Jian Zhang 0036 — Texas Woman's University, Denton, TX, USA
- Jian Zhang 0037
- Jian Zhang 0038
- Jian Zhang 0039
- Jian Zhang 0040
- Jian Zhang 0041
- Jian Zhang 0042 — École centrale de Lille, Villeneuve-d'Ascq, France
- Jian Zhang 0043
- Jian Zhang 0044
- Jian Zhang 0045
- Jian Zhang 0046
- Jian Zhang 0047
- Jian Zhang 0048
- Jian Zhang 0050
- Jian Zhang 0051 — Georgetown University Medical Center, Washington, DC, USA
- Jian Zhang 0052 — Hunan University of Commerce, School of Mathematics and Statistics, Key Laboratory of Hunan Province for Mobile Business Intelligence, Changsha, China (and 1 more)
- Jian Zhang 0053
- Jian Zhang 0054
- Jian Zhang 0055
- Jian Zhang 0056
- Jian Zhang 0057
- Jian Zhang 0058
- Jian Zhang 0059
- Jian Zhang 0060
- Justin Jian Zhang
- Jian Zhang 0062
- Jian Zhang 0063 — University of Kent, School of Mathematics, Statistics and Actuarial Science, Canterbury, UK
- Jian Zhang 0064
- Jian Zhang 0065 — Sichuan Normal University, College of Mathematics and Software Science, Chengdu, China
- Jian Zhang 0066 — Rutgers University, Department of Electrical and Computer Engineering, Piscataway, NJ, USA
- Jian Zhang 0067 — EPFL, Integrated Systems Laboratory, Lausanne, Switzerland
- Jian Zhang 0068
- Jian Zhang 0069 — Broadcom Corp., San Diego, CA, USA (and 1 more)
- Jian Zhang 0070
- Jian Zhang 0071 — Delft University of Technology, Department of Precision & Microsystems Engineering, Delft, Netherlands
- Jian Zhang 0072 — University of Jyväskylä Department of Mathematical Information Technology, Jyväskylä, Finland
- Jian Zhang 0073 — University of Rostock, Institute of Automation, Rostock, Germany
- Jian Zhang 0074 — Columbia University, Department of Mechanical Engineering, New York, NY, USA
- Jian Zhang 0075 — University of Science and Technology of China, Hefei, China (and 1 more)
- Jian Zhang 0076 — Waseda University, Graduate School of Information, Production and Systems, Tokyo, Japan
- Jian Zhang 0077 — Ohio State University, Department of Statistics, Columbus, OH, USA
- Jian Zhang 0078 — SUNY Downstate Medical Center, Henri Begleiter Neurodynamics Laboratory, Brooklyn, NY, USA (and 1 more)
- Jian Zhang 0079
- Jian Zhang 0080
- Jian Zhang 0081
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2020 – today
- 2021
- [c12]Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa:
PipeMare: Asynchronous Pipeline Parallel DNN Training. MLSys 2021 - 2020
- [c11]Simran Arora, Avner May, Jian Zhang, Christopher Ré:
Contextual Embeddings: When Are They Worth It? ACL 2020: 2650-2663 - [c10]Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré:
Understanding the Downstream Instability of Word Embeddings. MLSys 2020 - [i13]Megan Leszczynski, Avner May, Jian Zhang, Sen Wu, Christopher R. Aberger, Christopher Ré:
Understanding the Downstream Instability of Word Embeddings. CoRR abs/2003.04983 (2020) - [i12]Simran Arora, Avner May, Jian Zhang, Christopher Ré:
Contextual Embeddings: When Are They Worth It? CoRR abs/2005.09117 (2020) - [i11]Pedram Zamirai, Jian Zhang, Christopher R. Aberger, Christopher De Sa:
Revisiting BFloat16 Training. CoRR abs/2010.06192 (2020)
2010 – 2019
- 2019
- [b1]Jian Zhang:
Understanding and optimizing the statistical performance of machine learning models under memory budgets. Stanford University, USA, 2019 - [j1]Cody Coleman, Daniel Kang
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. ACM SIGOPS Oper. Syst. Rev. 53(1): 14-25 (2019) - [c9]Jian Zhang, Avner May, Tri Dao, Christopher Ré:
Low-Precision Random Fourier Features for Memory-constrained Kernel Approximation. AISTATS 2019: 1264-1274 - [c8]Jian Zhang, Ioannis Mitliagkas:
YellowFin and the Art of Momentum Tuning. SysML 2019 - [c7]Avner May, Jian Zhang, Tri Dao, Christopher Ré:
On the Downstream Performance of Compressed Word Embeddings. NeurIPS 2019: 11782-11793 - [i10]Nimit Sharad Sohoni, Christopher Richard Aberger, Megan Leszczynski, Jian Zhang, Christopher Ré:
Low-Memory Neural Network Training: A Technical Report. CoRR abs/1904.10631 (2019) - [i9]Avner May, Jian Zhang, Tri Dao, Christopher Ré:
On the Downstream Performance of Compressed Word Embeddings. CoRR abs/1909.01264 (2019) - [i8]Bowen Yang, Jian Zhang, Jonathan Li, Christopher Ré, Christopher R. Aberger, Christopher De Sa:
PipeMare: Asynchronous Pipeline Parallel DNN Training. CoRR abs/1910.05124 (2019) - 2018
- [c6]Jian Zhang, Max Lam, Stephanie Wang, Paroma Varma, Luigi Nardi, Kunle Olukotun
Exploring the Utility of Developer Exhaust. DEEM@SIGMOD 2018: 7:1-7:7 - [i7]Christopher De Sa, Megan Leszczynski, Jian Zhang, Alana Marzoev, Christopher R. Aberger, Kunle Olukotun, Christopher Ré:
High-Accuracy Low-Precision Training. CoRR abs/1803.03383 (2018) - [i6]Cody Coleman, Daniel Kang, Deepak Narayanan, Luigi Nardi, Tian Zhao, Jian Zhang, Peter Bailis, Kunle Olukotun, Christopher Ré, Matei Zaharia:
Analysis of DAWNBench, a Time-to-Accuracy Machine Learning Performance Benchmark. CoRR abs/1806.01427 (2018) - [i5]Jian Zhang, Avner May, Tri Dao, Christopher Ré:
Low-Precision Random Fourier Features for Memory-Constrained Kernel Approximation. CoRR abs/1811.00155 (2018) - 2017
- [c5]Thorsten Kurth, Jian Zhang, Nadathur Satish, Evan Racah, Ioannis Mitliagkas, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov
Deep learning at 15PF: supervised and semi-supervised classification for scientific data. SC 2017: 7 - [i4]Jian Zhang, Ioannis Mitliagkas, Christopher Ré:
YellowFin and the Art of Momentum Tuning. CoRR abs/1706.03471 (2017) - [i3]Thorsten Kurth, Jian Zhang, Nadathur Satish, Ioannis Mitliagkas, Evan Racah, Md. Mostofa Ali Patwary, Tareq M. Malas, Narayanan Sundaram, Wahid Bhimji, Mikhail Smorkalov, Jack Deslippe, Mikhail Shiryaev, Srinivas Sridharan, Prabhat, Pradeep Dubey:
Deep Learning at 15PF: Supervised and Semi-Supervised Classification for Scientific Data. CoRR abs/1708.05256 (2017) - 2016
- [c4]Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang:
SQuAD: 100, 000+ Questions for Machine Comprehension of Text. EMNLP 2016: 2383-2392 - [i2]Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, Percy Liang:
SQuAD: 100, 000+ Questions for Machine Comprehension of Text. CoRR abs/1606.05250 (2016) - [i1]Jian Zhang, Christopher De Sa, Ioannis Mitliagkas, Christopher Ré:
Parallel SGD: When does averaging help? CoRR abs/1606.07365 (2016) - 2015
- [c3]Jian Zhang, Josip Djolonga, Andreas Krause:
Higher-Order Inference for Multi-class Log-Supermodular Models. ICCV 2015: 1859-1867 - 2014
- [c2]Jian Zhang, Alexander G. Schwing, Raquel Urtasun:
Message Passing Inference for Large Scale Graphical Models with High Order Potentials. NIPS 2014: 1134-1142 - 2013
- [c1]Jian Zhang, Chen Kan, Alexander G. Schwing, Raquel Urtasun:
Estimating the 3D Layout of Indoor Scenes and Its Clutter from Depth Sensors. ICCV 2013: 1273-1280
Coauthor Index
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last updated on 2024-12-19 23:12 CET by the dblp team
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