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ORCIDWeiwei Yang 0004
Person information
- affiliation: Microsoft Research
Other persons with the same name
- Weiwei Yang — disambiguation page
- Weiwei Yang 0001
![[0000-0002-0220-4088]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-0220-4088")
— Army Engineering University of PLA, Teaching and Research Section of Wireless Communications, Nanjing, China (and 1 more) - Weiwei Yang 0002 — University of Derby, Derby Business School, Derbyshire, England, UK
- Weiwei Yang 0003 — Jiangsu Automation Research, Lianyungang, China (and 1 more)
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2020 – today
- 2025
[j3]Guodong Chen, Jesús Arroyo, Avanti Athreya, Joshua Cape, Joshua T. Vogelstein, Youngser Park, Christopher M. White, Jonathan Larson, Weiwei Yang, Carey E. Priebe:
Multiple network embedding for anomaly detection in time series of graphs. Comput. Stat. Data Anal. 203: 108070 (2025)- 2023
- [j2]Tianyi Chen, Youngser Park, Ali Saad-Eldin, Zachary Lubberts, Avanti Athreya, Benjamin D. Pedigo, Joshua T. Vogelstein, Francesca Puppo, Gabriel A. Silva, Alysson R. Muotri, Weiwei Yang, Christopher M. White, Carey E. Priebe:
Discovering a change point and piecewise linear structure in a time series of organoid networks via the iso-mirror. Appl. Netw. Sci. 8(1): 45 (2023) - [j1]Hayden S. Helm, Amitabh Basu, Avanti Athreya, Youngser Park, Joshua T. Vogelstein, Carey E. Priebe, Michael Winding, Marta Zlatic, Albert Cardona, Patrick Bourke, Jonathan Larson, Marah Ihab Abdin, Piali Choudhury, Weiwei Yang, Christopher M. White:
Distance-based positive and unlabeled learning for ranking. Pattern Recognit. 134: 109085 (2023) - [c1]Ashwin De Silva, Rahul Ramesh, Lyle H. Ungar, Marshall G. Hussain Shuler, Noah J. Cowan, Michael L. Platt, Chen Li, Leyla Isik, Seung-Eon Roh, Adam Charles, Archana Venkataraman, Brian Caffo, Javier J. How, Justus M. Kebschull, John W. Krakauer, Maxim Bichuch, Kaleab Alemayehu Kinfu, Eva Yezerets, Dinesh Jayaraman, Jong M. Shin, Soledad Villar, Ian Phillips, Carey E. Priebe, Thomas Hartung, Michael I. Miller, Jayanta Dey, Ningyuan Huang, Eric Eaton, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Randal C. Burns, Onyema Osuagwu, Brett Mensh, Alysson R. Muotri, Julia Brown, Chris White, Weiwei Yang, Andrei A. Rusu, Timothy D. Verstynen, Konrad P. Kording, Pratik Chaudhari, Joshua T. Vogelstein:
Prospective Learning: Principled Extrapolation to the Future. CoLLAs 2023: 347-357 - [i10]Hayden S. Helm, Weiwei Yang, Ashwin De Silva, Joshua T. Vogelstein, Carey E. Priebe:
Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis. CoRR abs/2302.14186 (2023) - [i9]Hayden S. Helm, Carey E. Priebe, Weiwei Yang:
A Statistical Turing Test for Generative Models. CoRR abs/2309.08913 (2023) - 2022
- [i8]Joshua T. Vogelstein, Timothy D. Verstynen, Konrad P. Kording, Leyla Isik, John W. Krakauer, Ralph Etienne-Cummings, Elizabeth L. Ogburn, Carey E. Priebe, Randal C. Burns, Kwame S. Kutten, James J. Knierim, James B. Potash, Thomas Hartung, Lena Smirnova, Paul Worley, Alena V. Savonenko, Ian Phillips, Michael I. Miller, René Vidal, Jeremias Sulam, Adam Charles, Noah J. Cowan, Maxim Bichuch, Archana Venkataraman, Chen Li, Nitish V. Thakor, Justus M. Kebschull, Marilyn S. Albert, Jinchong Xu, Marshall G. Hussain Shuler, Brian Caffo, J. Tilak Ratnanather, Ali Geisa, Seung-Eon Roh, Eva Yezerets, Meghana Madhyastha, Javier J. How, Tyler M. Tomita, Jayanta Dey, Ningyuan Huang, Jong M. Shin, Kaleab Alemayehu Kinfu, Pratik Chaudhari, Ben Baker, Anna Schapiro, Dinesh Jayaraman, Eric Eaton, Michael L. Platt, Lyle H. Ungar, Leila Wehbe, Ádám Kepecs, Amy Christensen, Onyema Osuagwu, Bing Brunton, Brett Mensh, Alysson R. Muotri, Gabriel A. Silva, Francesca Puppo, Florian Engert, Elizabeth Hillman, Julia Brown, Chris White, Weiwei Yang:
Prospective Learning: Back to the Future. CoRR abs/2201.07372 (2022) - [i7]Guodong Chen, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe:
Mental State Classification Using Multi-graph Features. CoRR abs/2203.00516 (2022) - [i6]Li Chen, Ningyuan Huang, Cong Mu, Hayden S. Helm, Kate Lytvynets, Weiwei Yang, Carey E. Priebe:
Deep Learning with Label Noise: A Hierarchical Approach. CoRR abs/2205.14299 (2022) - 2021
- [i5]Hayden S. Helm, Weiwei Yang, Sujeeth Bharadwaj, Kate Lytvynets, Oriana Riva, Christopher M. White, Ali Geisa, Carey E. Priebe:
Inducing a hierarchy for multi-class classification problems. CoRR abs/2102.10263 (2021) - [i4]Hayden S. Helm, Marah Ihab Abdin, Benjamin D. Pedigo, Shweti Mahajan, Vince Lyzinski, Youngser Park, Amitabh Basu, Piali Choudhury, Christopher M. White, Weiwei Yang, Carey E. Priebe:
Leveraging semantically similar queries for ranking via combining representations. CoRR abs/2106.12621 (2021) - 2020
- [i3]Joshua T. Vogelstein, Hayden S. Helm, Ronak D. Mehta, Jayanta Dey, Weiwei Yang, Bryan Tower, Will LeVine, Jonathan Larson, Christopher M. White, Carey E. Priebe:
A general approach to progressive intelligence. CoRR abs/2004.12908 (2020) - [i2]Darren Edge, Weiwei Yang, Harry Cook, Claire Galez-Davis, Hannah Darnton, Kate Lytvynets, Christopher M. White:
Design of a Privacy-Preserving Data Platform for Collaboration Against Human Trafficking. CoRR abs/2005.05688 (2020) - [i1]Hayden S. Helm, Ronak D. Mehta, Brandon Duderstadt, Weiwei Yang, Christopher M. White, Ali Geisa, Joshua T. Vogelstein, Carey E. Priebe:
A partition-based similarity for classification distributions. CoRR abs/2011.06557 (2020)
Coauthor Index
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