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Michael Zhang
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
- [c29]Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Ré:
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. ICLR 2024 - [i21]Michael Zhang, Kush Bhatia, Hermann Kumbong, Christopher Ré:
The Hedgehog & the Porcupine: Expressive Linear Attentions with Softmax Mimicry. CoRR abs/2402.04347 (2024) - [i20]Simran Arora, Sabri Eyuboglu, Michael Zhang, Aman Timalsina, Silas Alberti, Dylan Zinsley, James Zou, Atri Rudra, Christopher Ré:
Simple linear attention language models balance the recall-throughput tradeoff. CoRR abs/2402.18668 (2024) - [i19]Shouwei Hui, Michael Zhang:
A new platooning model for connected and autonomous vehicles to improve string stability. CoRR abs/2405.18791 (2024) - 2023
- [j19]Jiejian Feng, Kai Huang, Michael Zhang, Ignacio Castillo
, Jinglei Yang
:
Option applications for retailers in a decentralized inventory system. Comput. Ind. Eng. 175: 108846 (2023) - [j18]Kirsten J. McCaffery, Julie Ayre, Rachael Dodd, Kristen Pickles, Tessa Copp, Danielle M. Muscat, Brooke Nickel, Erin Cvejic, Michael Zhang, Olivia Mac, Jennifer Isautier, Samuel Cornell, Michael S. Wolf, Carissa Bonner:
Disparities in public understanding, attitudes, and intentions during the Covid-19 pandemic: The role of health literacy. Inf. Serv. Use 43(2): 101-113 (2023) - [j17]Yanlin Qi, Gengchen Mai, Rui Zhu
, Michael Zhang:
EVKG: An interlinked and interoperable electric vehicle knowledge graph for smart transportation system. Trans. GIS 27(4): 949-974 (2023) - [c28]Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré:
Effectively Modeling Time Series with Simple Discrete State Spaces. ICLR 2023 - [c27]Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré:
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. ICML 2023: 10373-10391 - [i18]Daniel Y. Fu, Elliot L. Epstein, Eric Nguyen, Armin W. Thomas, Michael Zhang, Tri Dao, Atri Rudra, Christopher Ré:
Simple Hardware-Efficient Long Convolutions for Sequence Modeling. CoRR abs/2302.06646 (2023) - [i17]Michael Zhang, Khaled Kamal Saab, Michael Poli, Tri Dao, Karan Goel, Christopher Ré:
Effectively Modeling Time Series with Simple Discrete State Spaces. CoRR abs/2303.09489 (2023) - [i16]Yanlin Qi, Gengchen Mai, Rui Zhu, Michael Zhang:
EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System. CoRR abs/2304.04893 (2023) - [i15]Xianyue Peng, Hang Gao, Gengyue Han, Hao Wang, Michael Zhang:
Joint Optimization of Traffic Signal Control and Vehicle Routing in Signalized Road Networks using Multi-Agent Deep Reinforcement Learning. CoRR abs/2310.10856 (2023) - [i14]Yanlin Qi, Jia Li, Michael Zhang:
Enabling CMF Estimation in Data-Constrained Scenarios: A Semantic-Encoding Knowledge Mining Model. CoRR abs/2311.08690 (2023) - 2022
- [j16]Jinyoung Pung, Raissa M. D'Souza, Dipak Ghosal
, Michael Zhang:
A road network simplification algorithm that preserves topological properties. Appl. Netw. Sci. 7(1): 79 (2022) - [j15]Usha Ramanathan
, Nigel L. Williams, Michael Zhang
, Punyachalee Sa-nguanjin
, Jose Arturo Garza-Reyes
, Lilian Adriana Borges
:
A New Perspective of E-Trust in the Era of Social Media: Insights From Customer Satisfaction Data. IEEE Trans. Engineering Management 69(4): 1417-1431 (2022) - [c26]Justin Y. Chen, Talya Eden, Piotr Indyk, Honghao Lin, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner, David P. Woodruff, Michael Zhang:
Triangle and Four Cycle Counting with Predictions in Graph Streams. ICLR 2022 - [c25]Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré:
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. ICML 2022: 3090-3122 - [c24]Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré:
Correct-N-Contrast: a Contrastive Approach for Improving Robustness to Spurious Correlations. ICML 2022: 26484-26516 - [c23]Khaled Saab, Sarah M. Hooper, Mayee F. Chen, Michael Zhang, Daniel L. Rubin, Christopher Ré:
Reducing Reliance on Spurious Features in Medical Image Classification with Spatial Specificity. MLHC 2022: 760-784 - [c22]Michael Zhang, Christopher Ré:
Contrastive Adapters for Foundation Model Group Robustness. NeurIPS 2022 - [c21]Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré:
Shoring up the foundations: fusing model embeddings and weak supervision. UAI 2022: 357-367 - [i13]Michael Zhang, Nimit Sharad Sohoni, Hongyang R. Zhang, Chelsea Finn, Christopher Ré:
Correct-N-Contrast: A Contrastive Approach for Improving Robustness to Spurious Correlations. CoRR abs/2203.01517 (2022) - [i12]Justin Y. Chen, Talya Eden, Piotr Indyk, Honghao Lin, Shyam Narayanan, Ronitt Rubinfeld, Sandeep Silwal, Tal Wagner, David P. Woodruff, Michael Zhang:
Triangle and Four Cycle Counting with Predictions in Graph Streams. CoRR abs/2203.09572 (2022) - [i11]Mayee F. Chen, Daniel Y. Fu, Dyah Adila, Michael Zhang, Frederic Sala, Kayvon Fatahalian, Christopher Ré:
Shoring Up the Foundations: Fusing Model Embeddings and Weak Supervision. CoRR abs/2203.13270 (2022) - [i10]Mayee F. Chen, Daniel Y. Fu, Avanika Narayan, Michael Zhang, Zhao Song, Kayvon Fatahalian, Christopher Ré:
Perfectly Balanced: Improving Transfer and Robustness of Supervised Contrastive Learning. CoRR abs/2204.07596 (2022) - [i9]Michael Zhang, Samuel Kim, Peter Y. Lu, Marin Soljacic:
Deep Learning and Symbolic Regression for Discovering Parametric Equations. CoRR abs/2207.00529 (2022) - [i8]Michael Zhang, Christopher Ré:
Contrastive Adapters for Foundation Model Group Robustness. CoRR abs/2207.07180 (2022) - 2021
- [b1]Michael Zhang:
Intelligent Scheduling for IoT Applications at the Network Edge. University of California, Santa Barbara, USA, 2021 - [j14]Jiejian Feng, Michael Zhang, Jinglei Yang
:
New necessary and sufficient condition for the irreducibility of joint inventory positions in an assemble-to-order system. Oper. Res. Lett. 49(2): 171-175 (2021) - [j13]Michael Zhang
, Chandra Krintz, Rich Wolski:
Edge-adaptable serverless acceleration for machine learning Internet of Things applications. Softw. Pract. Exp. 51(9): 1852-1867 (2021) - [c20]Michael Zhang, Chandra Krintz, Rich Wolski:
Sparta: Heat-Budget-Based Scheduling Framework on IoT Edge Systems. EDGE 2021: 20-34 - [c19]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez:
Personalized Federated Learning with First Order Model Optimization. ICLR 2021 - 2020
- [c18]Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang:
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions. AAAI 2020: 2236-2243 - [c17]Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun D. Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung:
Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery. AMIA 2020 - [c16]Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel M. DiPietro, Bo Zhu:
Soft Multicopter Control Using Neural Dynamics Identification. CoRL 2020: 1773-1782 - [c15]António V. Lopes, M. Amin Farajian, Rachel Bawden, Michael Zhang, André F. T. Martins:
Document-level Neural MT: A Systematic Comparison. EAMT 2020: 225-234 - [c14]Michael Zhang, Chandra Krintz, Rich Wolski:
STOIC: Serverless Teleoperable Hybrid Cloud for Machine Learning Applications on Edge Device. PerCom Workshops 2020: 1-6 - [i7]Yitong Deng, Yaorui Zhang, Xingzhe He, Shuqi Yang, Yunjin Tong, Michael Zhang, Daniel M. DiPietro, Bo Zhu:
Soft Multicopter Control using Neural Dynamics Identification. CoRR abs/2008.07689 (2020) - [i6]Michael Zhang:
Characterizing Policy Divergence for Personalized Meta-Reinforcement Learning. CoRR abs/2010.04816 (2020) - [i5]Michael Zhang, Xiaotian Cheng, Daniel Copeland, Arjun D. Desai, Melody Y. Guan, Gabriel A. Brat, Serena Yeung:
Using Computer Vision to Automate Hand Detection and Tracking of Surgeon Movements in Videos of Open Surgery. CoRR abs/2012.06948 (2020) - [i4]Michael Zhang, Karan Sapra, Sanja Fidler, Serena Yeung, José M. Álvarez:
Personalized Federated Learning with First Order Model Optimization. CoRR abs/2012.08565 (2020)
2010 – 2019
- 2019
- [j12]Curtis Madsen, Ángel Goñi-Moreno, Umesh P
, Zachary Palchick, Nicholas Roehner, Christian Atallah, Bryan Bartley, Kiri Choi
, Robert Sidney Cox III, Thomas E. Gorochowski, Raik Grünberg
, Chris Macklin, James Alastair McLaughlin
, Xianwei Meng, Tramy Nguyen, Matthew R. Pocock, Meher Samineni, James Scott-Brown
, Ysis Tarter, Michael Zhang, Zhen Zhang, Zach Zundel, Jacob Beal
, Michael Bissell, Kevin Clancy, John H. Gennari, Goksel Misirli, Chris J. Myers, Ernst Oberortner, Herbert M. Sauro, Anil Wipat
:
Synthetic Biology Open Language (SBOL) Version 2.3. J. Integr. Bioinform. 16(2) (2019) - [j11]Long Chen
, Miaoyan Wang, Xu Zhang
, Michael Zhang, Yucheng Hu, Zuoqiang Shi
, Peng Xi
, Juntao Gao:
Group-Sparsity-Based Super-Resolution Dipole Orientation Mapping. IEEE Trans. Medical Imaging 38(11): 2687-2694 (2019) - [c13]Michael Zhang, Chandra Krintz, Markus Mock, Rich Wolski:
Seneca: Fast and Low Cost Hyperparameter Search for Machine Learning Models. CLOUD 2019: 404-408 - [c12]Michael Zhang, Shenglin Lu, Yu Lu, Jiao Chen:
Risk-Managed Strategy Index. CIFEr 2019: 1-24 - [c11]Dallas Card
, Michael Zhang, Noah A. Smith:
Deep Weighted Averaging Classifiers. FAT 2019: 369-378 - 2018
- [j10]Robert Sidney Cox III, Curtis Madsen, James Alastair McLaughlin
, Tramy Nguyen, Nicholas Roehner, Bryan Bartley, Jacob Beal, Michael Bissell, Kiri Choi
, Kevin Clancy, Raik Grünberg
, Chris Macklin, Goksel Misirli
, Ernst Oberortner, Matthew R. Pocock, Meher Samineni, Michael Zhang, Zhen Zhang, Zach Zundel, John H. Gennari
, Chris J. Myers, Herbert M. Sauro, Anil Wipat
:
Synthetic Biology Open Language (SBOL) Version 2.2.0. J. Integr. Bioinform. 15(1) (2018) - [c10]Wei-Tsung Lin, Chandra Krintz, Rich Wolski, Michael Zhang, Xiaogang Cai, Tongjun Li, Weijin Xu:
Tracking Causal Order in AWS Lambda Applications. IC2E 2018: 50-60 - [i3]Dallas Card, Michael Zhang, Noah A. Smith:
Deep Weighted Averaging Classifiers. CoRR abs/1811.02579 (2018) - 2017
- [j9]Jiejian Feng, Michael Zhang:
Dynamic quotation of leadtime and price for a Make-To-Order system with multiple customer classes and perfect information on customer preferences. Eur. J. Oper. Res. 258(1): 334-342 (2017) - [j8]Jiejian Feng, Michael Zhang:
Reducing cost and abandoned E-components in incomplete identification. J. Oper. Res. Soc. 68(3): 281-290 (2017) - [j7]Meili Dong, Jiandong Wu
, Zimin Ma, Hagit Peretz-Soroka, Michael Zhang, Paul Komenda
, Navdeep Tangri
, Yong Liu, Claudio Rigatto
, Francis Lin
:
Rapid and Low-Cost CRP Measurement by Integrating a Paper-Based Microfluidic Immunoassay with Smartphone (CRP-Chip). Sensors 17(4): 684 (2017) - [c9]Carlos Florensa, David Held, Markus Wulfmeier, Michael Zhang, Pieter Abbeel:
Reverse Curriculum Generation for Reinforcement Learning. CoRL 2017: 482-495 - [c8]David Held, Zoe McCarthy, Michael Zhang, Fred Shentu, Pieter Abbeel:
Probabilistically safe policy transfer. ICRA 2017: 5798-5805 - [i2]David Held, Zoe McCarthy, Michael Zhang, Fred Shentu, Pieter Abbeel:
Probabilistically Safe Policy Transfer. CoRR abs/1705.05394 (2017) - [i1]Weiran Shen, Binghui Peng, Hanpeng Liu, Michael Zhang, Ruohan Qian, Yan Hong, Zhi Guo, Zongyao Ding, Pengjun Lu, Pingzhong Tang:
Reinforcement Mechanism Design, with Applications to Dynamic Pricing in Sponsored Search Auctions. CoRR abs/1711.10279 (2017) - 2016
- [j6]Jacob Beal, Robert Sidney Cox III, Raik Grünberg
, James Alastair McLaughlin, Tramy Nguyen, Bryan Bartley, Michael Bissell, Kiri Choi
, Kevin Clancy, Chris Macklin, Curtis Madsen, Goksel Misirli
, Ernst Oberortner, Matthew R. Pocock, Nicholas Roehner, Meher Samineni, Michael Zhang, Zhen Zhang, Zach Zundel, John H. Gennari
, Chris J. Myers, Herbert M. Sauro, Anil Wipat
:
Synthetic Biology Open Language (SBOL) Version 2.1.0. J. Integr. Bioinform. 13(3) (2016) - [c7]Daning Hu, Xiao Li, Michael Zhang:
The Impacts of Geographic Dispersion on OSS Project Success: Face-to-face vs. Virtual Collaboration. ICIS 2016 - 2015
- [j5]Michael Zhang, Jiejian Feng:
Turnpike properties of group testing for incomplete identification. Oper. Res. Lett. 43(6): 545-549 (2015) - 2014
- [j4]Pushkin Kachroo, Neveen Shlayan, Sumit Roy, Michael Zhang:
High-Performance Vehicle Streams: Communication and Control Architecture. IEEE Trans. Veh. Technol. 63(8): 3560-3568 (2014) - 2010
- [j3]Michael Zhang, Peter C. Bell, Gangshu (George) Cai
, Xiangfeng Chen:
Optimal fences and joint price and inventory decisions in distinct markets with demand leakage. Eur. J. Oper. Res. 204(3): 589-596 (2010)
2000 – 2009
- 2007
- [j2]Michael Zhang, Peter C. Bell:
The effect of market segmentation with demand leakage between market segments on a firm's price and inventory decisions. Eur. J. Oper. Res. 182(2): 738-754 (2007) - 2005
- [j1]Allan Macpherson, Oswald Jones, Michael Zhang:
Virtual reality and innovation networks: opportunity exploitation in dynamic SMEs. Int. J. Technol. Manag. 30(1/2): 49-66 (2005) - [c6]Michael Zhang, Krste Asanovic:
Victim Replication: Maximizing Capacity while Hiding Wire Delay in Tiled Chip Multiprocessors. ISCA 2005: 336-345 - [c5]Kenneth C. Barr
, Heidi Pan, Michael Zhang, Krste Asanovic:
Accelerating Multiprocessor Simulation with a Memory Timestamp Record. ISPASS 2005: 66-77 - 2004
- [c4]Michael Zhang, Jun Xu:
An investigation into subspace rapid speaker adaptation. ISCSLP 2004: 273-276 - 2002
- [c3]Michael Zhang, Krste Asanovic:
Fine-grain CAM-tag cache resizing using miss tags. ISLPED 2002: 130-135 - 2001
- [c2]Qing K. Zhu, Michael Zhang:
Low-voltage swing clock distribution schemes. ISCAS (4) 2001: 418-421 - 2000
- [c1]Luis Villa, Michael Zhang, Krste Asanovic:
Dynamic zero compression for cache energy reduction. MICRO 2000: 214-220
Coauthor Index
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