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Shuo Yang 0004
Person information
- affiliation: LinkedIn Corp.
- affiliation (PhD 2017): Indiana University-Bloomington, School of Informatics, Computing and Engineering, IN, USA
Other persons with the same name
- Shuo Yang — disambiguation page
- Shuo Yang 0001 — Shanghai Jiao Tong University, Shanghai, China
- Shuo Yang 0002 — Institute of Software, Chinese Academy of Sciences, Beijing, China
- Shuo Yang 0003 — Amazon Rekognition (and 1 more)
- Shuo Yang 0005 — National University of Defense Technology, College of Computer, Changsha, China
- Shuo Yang 0006 — Harbin Institute of Technology, School of Computer Science and Technology, China (and 1 more)
- Shuo Yang 0007 — University of Pennsylvania, Department of Electrical and Systems Engineering, Philadelphia, PA, USA (and 1 more)
- Shuo Yang 0008 — Hebei University of Technology, State Key Laboratory of Reliability and Intelligence of Electrical Equipment, Tianjin, China
- Shuo Yang 0009 — University of Bremen, Institute of Computer Science, Germany
- Shuo Yang 0010 — Huawei Technologies Company Limited, Huawei R&D Center, Santa Clara, CA, USA (and 1 more)
- Shuo Yang 0011 — Tsinghua University, Tsinghua Shenzhen International Graduate School, China
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2020 – today
- 2020
- [c10]Harsha Kokel, Phillip Odom, Shuo Yang, Sriraam Natarajan:
A Unified Framework for Knowledge Intensive Gradient Boosting: Leveraging Human Experts for Noisy Sparse Domains. AAAI 2020: 4460-4468
2010 – 2019
- 2019
- [c9]Yu Cheng, Shuo Yang, David Araújo, Yibo Yao, Yantao Yao:
An Interactive Online Audience Extension System. IEEE BigData 2019: 2020-2023 - 2018
- [i2]Shuo Yang:
Effective Learning of Probabilistic Models for Clinical Predictions from Longitudinal Data. CoRR abs/1811.00749 (2018) - 2017
- [j1]Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan:
Combining content-based and collaborative filtering for job recommendation system: A cost-sensitive Statistical Relational Learning approach. Knowl. Based Syst. 136: 37-45 (2017) - [c8]Shuo Yang, Fabian Hadiji, Kristian Kersting, Shaun J. Grannis, Sriraam Natarajan:
Modeling heart procedures from EHRs: An application of exponential families. BIBM 2017: 491-497 - [c7]Nandini Ramanan, Shuo Yang, Shaun J. Grannis, Sriraam Natarajan:
Discriminative boosted Bayes networks for learning multiple cardiovascular procedures. BIBM 2017: 870-873 - [c6]Shuo Yang, Somdeb Sarkhel, Saayan Mitra, Viswanathan Swaminathan:
Personalized Video Recommendations for Shared Accounts. ISM 2017: 256-259 - 2016
- [c5]Shuo Yang, Tushar Khot, Kristian Kersting, Sriraam Natarajan:
Learning Continuous-Time Bayesian Networks in Relational Domains: A Non-Parametric Approach. AAAI 2016: 2265-2271 - [c4]Haley MacLeod, Shuo Yang, Kim Oakes, Kay Connelly, Sriraam Natarajan:
Identifying Rare Diseases from Behavioural Data: A Machine Learning Approach. CHASE 2016: 130-139 - [i1]Shuo Yang, Mohammed Korayem, Khalifeh AlJadda, Trey Grainger, Sriraam Natarajan:
Application of Statistical Relational Learning to Hybrid Recommendation Systems. CoRR abs/1607.01050 (2016) - 2015
- [c3]Shuo Yang, Kristian Kersting, Greg Terry, Jefferey Carr, Sriraam Natarajan:
Modeling Coronary Artery Calcification Levels from Behavioral Data in a Clinical Study. AIME 2015: 182-187 - 2014
- [c2]Shuo Yang, Tushar Khot, Kristian Kersting, Gautam Kunapuli, Kris Hauser, Sriraam Natarajan:
Learning from Imbalanced Data in Relational Domains: A Soft Margin Approach. ICDM 2014: 1085-1090 - 2013
- [c1]Shuo Yang, Sriraam Natarajan:
Knowledge Intensive Learning: Combining Qualitative Constraints with Causal Independence for Parameter Learning in Probabilistic Models. ECML/PKDD (2) 2013: 580-595
Coauthor Index
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