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2020 – today
- 2024
[j6]Zicun Cong
, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei:
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. IEEE Trans. Knowl. Data Eng. 36(4): 1537-1551 (2024)- [c27]Yukyung Kim, Je-Hyeop Lee, Sangbin Yun, Jaewon Yang, Je-Choon Park, Jeongwook Kwon, Jee-Hye Seo, Byoung-Kyong Min:
Enhanced inhibitory control after out-of-phase theta tACS between the lDLPFC and dACC. BCI 2024: 1-4 - [c26]Hongtao Lin, Haoyu Chen, Jaewon Yang, Jiajing Xu:
Bootstrapping Conditional Retrieval for User-to-Item Recommendations. RecSys 2024: 755-757 - [c25]Yan Han, Kaiqi Chen, Shan Li, Ji Yan, Baoxu Shi, Lei Zhang, Fei Chen, Jaewon Yang, Yunpeng Xu, Xiaoqiang Luo, Qi He, Ying Ding, Zhangyang Wang:
Turning A Curse into A Blessing: Data-Aware Memory-Efficient Training of Graph Neural Networks by Dynamic Exiting. WWW (Companion Volume) 2024: 903-906 - [i13]Jingying Zeng, Richard Huang, Waleed Malik, Langxuan Yin, Bojan Babic, Danny Shacham, Xiao Yan, Jaewon Yang, Qi He:
Large Language Models for Social Networks: Applications, Challenges, and Solutions. CoRR abs/2401.02575 (2024) - [i12]Zicun Cong, Baoxu Shi, Shan Li, Jaewon Yang, Qi He, Jian Pei:
FairSample: Training Fair and Accurate Graph Convolutional Neural Networks Efficiently. CoRR abs/2401.14702 (2024) - 2023
- [j5]Wooram Kim, Jaewon Yang, Jaeyoung Jang, Jeong Seok Oh, Seongheum Han, Seungman Kim, Heesuk Jang, Young-Jin Kim, Seung-Woo Kim:
Open-Air Testing of Dual-Comb Time-of-Flight Measurement. Sensors 23(21): 8949 (2023) - [i11]Jingying Zeng, Jaewon Yang, Waleed Malik, Xiao Yan, Richard Huang, Qi He:
Let AI Entertain You: Increasing User Engagement with Generative AI and Rejection Sampling. CoRR abs/2312.12457 (2023) - 2022
- [c24]Zhuliu Li, Yiming Wang, Xiao Yan, Weizhi Meng, Yanen Li, Jaewon Yang:
TaxoTrans: Taxonomy-Guided Entity Translation. KDD 2022: 3279-3287 - [c23]Jaewon Yang, Baoxu Shi, Alex Samylkin:
Graph Neural Networks for the Global Economy with Microsoft DeepGraph. WSDM 2022: 1655 - 2021
- [c22]Xiao Yan, Ada Ma, Jaewon Yang, Lin Zhu, How Jing, Jacob Bollinger, Qi He:
Contextual Skill Proficiency via Multi-task Learning at LinkedIn. CIKM 2021: 4273-4282 - [c21]Minji Yoon, Théophile Gervet, Baoxu Shi, Sufeng Niu, Qi He, Jaewon Yang:
Performance-Adaptive Sampling Strategy Towards Fast and Accurate Graph Neural Networks. KDD 2021: 2046-2056 - [c20]Mahsa Torkaman, Jaewon Yang, Luyao Shi, Rui Wang, Edward J. Miller, Albert J. Sinusas, Chi Liu, Grant T. Gullberg, Youngho Seo:
Direct image-based attenuation correction using conditional generative adversarial network for SPECT myocardial perfusion imaging. Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging 2021 - 2020
- [c19]Baoxu Shi, Jaewon Yang, Feng Guo, Qi He:
Salience and Market-aware Skill Extraction for Job Targeting. KDD 2020: 2871-2879 - [c18]Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He:
Learning to Ask Screening Questions for Job Postings. SIGIR 2020: 549-558 - [c17]Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He:
Deep Job Understanding at LinkedIn. SIGIR 2020: 2145-2148 - [c16]Qi He, Jaewon Yang, Baoxu Shi:
Constructing Knowledge Graph for Social Networks in A Deep and Holistic Way. WWW (Companion Volume) 2020: 307-308 - [i10]Baoxu Shi, Shan Li, Jaewon Yang, Mustafa Emre Kazdagli, Qi He:
Learning to Ask Screening Questions for Job Postings. CoRR abs/2004.14969 (2020) - [i9]Baoxu Shi, Jaewon Yang, Feng Guo, Qi He:
Salience and Market-aware Skill Extraction for Job Targeting. CoRR abs/2005.13094 (2020) - [i8]Shan Li, Baoxu Shi, Jaewon Yang, Ji Yan, Shuai Wang, Fei Chen, Qi He:
Deep Job Understanding at LinkedIn. CoRR abs/2006.12425 (2020)
2010 – 2019
- 2019
- [j4]Kuang Gong, Jiahui Guan, Kyung Sang Kim, Xuezhu Zhang, Jaewon Yang, Youngho Seo, Georges El Fakhri, Jinyi Qi, Quanzheng Li:
Iterative PET Image Reconstruction Using Convolutional Neural Network Representation. IEEE Trans. Medical Imaging 38(3): 675-685 (2019) - [c15]Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He:
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. IEEE BigData 2019: 1928-1937 - [c14]Xiao Yan, Jaewon Yang, Mikhail Obukhov, Lin Zhu, Joey Bai, Shiqi Wu, Qi He:
Social Skill Validation at LinkedIn. KDD 2019: 2943-2951 - [i7]Baoxu Shi, Jaewon Yang, Tim Weninger, How Jing, Qi He:
Representation Learning in Heterogeneous Professional Social Networks with Ambiguous Social Connections. CoRR abs/1910.10763 (2019) - 2018
- [i6]Jaewon Yang, Dookun Park, Jae Ho Sohn, Zhen Jane Wang, Grant T. Gullberg, Youngho Seo:
Joint Correction of Attenuation and Scatter Using Deep Convolutional Neural Networks (DCNN) for Time-of-Flight PET. CoRR abs/1811.11852 (2018) - 2017
- [c13]Liangyue Li, How Jing, Hanghang Tong, Jaewon Yang, Qi He, Bee-Chung Chen:
NEMO: Next Career Move Prediction with Contextual Embedding. WWW (Companion Volume) 2017: 505-513 - [i5]Kuang Gong, Jaewon Yang, Kyung Sang Kim, Georges El Fakhri, Youngho Seo, Quanzheng Li:
Attenuation Correction for Brain PET imaging using Deep Neural Network based on Dixon and ZTE MR images. CoRR abs/1712.06203 (2017) - 2015
- [j3]Jaewon Yang, Jure Leskovec:
Defining and evaluating network communities based on ground-truth. Knowl. Inf. Syst. 42(1): 181-213 (2015) - [c12]Jaewon Yang, Xiuwen Liu, Shamik Bose:
Preventing Cyber-induced Irreversible Physical Damage to Cyber-Physical Systems. CISR 2015: 8:1-8:4 - [c11]Deepak Agarwal, Bee-Chung Chen, Qi He, Zhenhao Hua, Guy Lebanon, Yiming Ma, Pannagadatta Shivaswamy, Hsiao-Ping Tseng, Jaewon Yang, Liang Zhang:
Personalizing LinkedIn Feed. KDD 2015: 1651-1660 - 2014
- [j2]Jaewon Yang, Jure Leskovec:
Overlapping Communities Explain Core-Periphery Organization of Networks. Proc. IEEE 102(12): 1892-1902 (2014) - [j1]Jaewon Yang, Jure Leskovec:
Structure and Overlaps of Ground-Truth Communities in Networks. ACM Trans. Intell. Syst. Technol. 5(2): 26:1-26:35 (2014) - [c10]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Detecting cohesive and 2-mode communities indirected and undirected networks. WSDM 2014: 323-332 - [c9]Jaewon Yang, Julian J. McAuley, Jure Leskovec, Paea LePendu, Nigam Shah:
Finding progression stages in time-evolving event sequences. WWW 2014: 783-794 - [i4]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Community Detection in Networks with Node Attributes. CoRR abs/1401.7267 (2014) - [i3]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Detecting Cohesive and 2-mode Communities in Directed and Undirected Networks. CoRR abs/1401.7375 (2014) - 2013
- [c8]Jaewon Yang, Julian J. McAuley, Jure Leskovec:
Community Detection in Networks with Node Attributes. ICDM 2013: 1151-1156 - [c7]Jaewon Yang, Bee-Chung Chen, Deepak Agarwal:
Estimating sharer reputation via social data calibration. KDD 2013: 59-67 - [c6]Dafna Shahaf, Jaewon Yang, Caroline Suen, Jeff Jacobs, Heidi Wang, Jure Leskovec:
Information cartography: creating zoomable, large-scale maps of information. KDD 2013: 1097-1105 - [c5]Jaewon Yang, Jure Leskovec:
Overlapping community detection at scale: a nonnegative matrix factorization approach. WSDM 2013: 587-596 - 2012
- [c4]Jaewon Yang, Jure Leskovec:
Defining and Evaluating Network Communities Based on Ground-Truth. ICDM 2012: 745-754 - [c3]Jaewon Yang, Jure Leskovec:
Community-Affiliation Graph Model for Overlapping Network Community Detection. ICDM 2012: 1170-1175 - [i2]Jaewon Yang, Jure Leskovec:
Structure and Overlaps of Communities in Networks. CoRR abs/1205.6228 (2012) - [i1]Jaewon Yang, Jure Leskovec:
Defining and Evaluating Network Communities based on Ground-truth. CoRR abs/1205.6233 (2012) - 2011
- [c2]Jaewon Yang, Jure Leskovec:
Patterns of temporal variation in online media. WSDM 2011: 177-186 - 2010
- [c1]Jaewon Yang, Jure Leskovec:
Modeling Information Diffusion in Implicit Networks. ICDM 2010: 599-608
Coauthor Index
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