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2020 – today

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2023
[i24]
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  - journals/corr/abs-2302-12324
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Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, Ting-Hao Kenneth Huang:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. CoRR abs/2302.12324 (2023)
2022
[j15]
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Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. ACM Trans. Web 16(3): 11:1-11:47 (2022)
[c54]
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Rui Wang, Tong Yu, Handong Zhao, Sungchul Kim, Subrata Mitra, Ruiyi Zhang, Ricardo Henao:
Few-Shot Class-Incremental Learning for Named Entity Recognition. ACL (1) 2022: 571-582
[c53]
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Mustafa Abdallah, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Handong Zhao, Saurabh Bagchi:
AutoForecast: Automatic Time-Series Forecasting Model Selection. CIKM 2022: 5-14
[c52]
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Duc Hoang, Haotao Wang, Handong Zhao, Ryan A. Rossi, Sungchul Kim, Kanak Mahadik, Zhangyang Wang:
AutoMARS: Searching to Compress Multi-Modality Recommendation Systems. CIKM 2022: 727-736
[c51]
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Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CIKM 2022: 4364-4368
[c50]
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  - conf/kdd/QinKZ0R022
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Can Qin, Sungchul Kim, Handong Zhao, Tong Yu, Ryan A. Rossi, Yun Fu:
External Knowledge Infusion for Tabular Pre-training Models with Dual-adapters. KDD 2022: 1401-1409
[c49]
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  - conf/recsys/HeZ0KDM22
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Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. RecSys 2022: 288-298
[c48]
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Jungbin Yun, Seungjoon Lee, Seungwon Cha, Jihun Kim, Jeongho Lee, Hanseok Kim, Eungkyu Lee, Seonok Kim, Seunghan Hong, Hyungchae Kim, Jinsuk Huh, Sungchul Kim, Kazunori Kakehi, Jae-Ho Kim, June-Mo Koo, Eunsang Cho, Heegeun Jeong, Howoo Park, Kyungho Lee, JungChak Ahn, JoonSeo Yim:
A 0.6 ㎛ Small Pixel for High Resolution CMOS Image Sensor with Full Well Capacity of 10, 000e- by Dual Vertical Transfer Gate Technology. VLSI Technology and Circuits 2022: 351-352
[c47]
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Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
On Generalizing Static Node Embedding to Dynamic Settings. WSDM 2022: 410-420
[c46]
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Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering forCommunity Detection and Tracking. WWW 2022: 1115-1126
[c45]
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Fayokemi Ojo, Ryan A. Rossi, Jane Hoffswell, Shunan Guo, Fan Du, Sungchul Kim, Chang Xiao, Eunyee Koh:
VisGNN: Personalized Visualization Recommendationvia Graph Neural Networks. WWW 2022: 2810-2818
[i23]
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  - journals/corr/abs-2204-08504
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Namyong Park, Ryan A. Rossi, Eunyee Koh, Iftikhar Ahamath Burhanuddin, Sungchul Kim, Fan Du, Nesreen K. Ahmed, Christos Faloutsos:
CGC: Contrastive Graph Clustering for Community Detection and Tracking. CoRR abs/2204.08504 (2022)
[i22]
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  - journals/corr/abs-2207-12628
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Zhankui He, Handong Zhao, Tong Yu, Sungchul Kim, Fan Du, Julian J. McAuley:
Bundle MCR: Towards Conversational Bundle Recommendation. CoRR abs/2207.12628 (2022)
[i21]
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  - journals/corr/abs-2208-09076
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Sejoon Oh, Ankur Bhardwaj, Jongseok Han, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Implicit Session Contexts for Next-Item Recommendations. CoRR abs/2208.09076 (2022)
[i20]
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  - journals/corr/abs-2210-00032
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Sudhanshu Chanpuriya, Ryan A. Rossi, Sungchul Kim, Tong Yu, Jane Hoffswell, Nedim Lipka, Shunan Guo, Cameron Musco:
Direct Embedding of Temporal Network Edges via Time-Decayed Line Graphs. CoRR abs/2210.00032 (2022)
[i19]
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  - journals/corr/abs-2212-12040
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April Chen, Ryan A. Rossi, Nedim Lipka, Jane Hoffswell, Gromit Yeuk-Yin Chan, Shunan Guo, Eunyee Koh, Sungchul Kim, Nesreen K. Ahmed:
Graph Learning with Localized Neighborhood Fairness. CoRR abs/2212.12040 (2022)
2021
[j14]
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  - journals/tetci/LeeNRAKK21
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John Boaz Lee, Giang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Dynamic Node Embeddings From Edge Streams. IEEE Trans. Emerg. Top. Comput. Intell. 5(6): 931-946 (2021)
[j13]
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Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. ACM Trans. Knowl. Discov. Data 15(1): 9:1-9:43 (2021)
[c44]
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  - conf/acl/YanRCZRZKLR21
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Jun Yan, Mrigank Raman, Aaron Chan, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. ACL/IJCNLP (Findings) 2021: 4038-4051
[c43]
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Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CIKM 2021: 1386-1395
[c42]
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Ryan A. Rossi, Anup B. Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
From Closing Triangles to Higher-Order Motif Closures for Better Unsupervised Online Link Prediction. CIKM 2021: 4085-4093
[c41]
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  - conf/iclr/RamanCAWWKRZL021
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Mrigank Raman, Aaron Chan, Siddhant Agarwal, Peifeng Wang, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. ICLR 2021
[c40]
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Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting with Applications to Cloud Resource Allocation. KDD 2021: 106-116
[c39]
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Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
Learning to Recommend Visualizations from Data. KDD 2021: 1359-1369
[c38]
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  - conf/kdd/XianZLKRFM021
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Yikun Xian, Handong Zhao, Tak Yeon Lee, Sungchul Kim, Ryan A. Rossi, Zuohui Fu, Gerard de Melo, S. Muthukrishnan:
EXACTA: Explainable Column Annotation. KDD 2021: 3775-3785
[c37]
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  - conf/naacl/RezayiZKRLL21
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Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. NAACL-HLT 2021: 2767-2776
[c36]
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Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan, Ryan A. Rossi, Sana Malik, Tak Yeon Lee:
Generating Accurate Caption Units for Figure Captioning. WWW 2021: 2792-2804
[i18]
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  - journals/corr/abs-2102-06343
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Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Nesreen K. Ahmed:
Personalized Visualization Recommendation. CoRR abs/2102.06343 (2021)
[i17]
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  - journals/corr/abs-2104-04909
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Saed Rezayi, Handong Zhao, Sungchul Kim, Ryan A. Rossi, Nedim Lipka, Sheng Li:
Edge: Enriching Knowledge Graph Embeddings with External Text. CoRR abs/2104.04909 (2021)
[i16]
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  - journals/corr/abs-2108-10248
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Sejoon Oh, Sungchul Kim, Ryan A. Rossi, Srijan Kumar:
Influence-guided Data Augmentation for Neural Tensor Completion. CoRR abs/2108.10248 (2021)
2020
[j12]
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Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
On Proximity and Structural Role-based Embeddings in Networks: Misconceptions, Techniques, and Applications. ACM Trans. Knowl. Discov. Data 14(5): 63:1-63:37 (2020)
[j11]
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Jinyoung Yeo, Seung-won Hwang, Sungchul Kim, Eunyee Koh, Nedim Lipka:
Conversion Prediction from Clickstream: Modeling Market Prediction and Customer Predictability. IEEE Trans. Knowl. Data Eng. 32(2): 246-259 (2020)
[c35]
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  - conf/chi/DuGMKKL20
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Fan Du, Shunan Guo, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu:
Interactive Event Sequence Prediction for Marketing Analysts. CHI Extended Abstracts 2020: 1-8
[c34]
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Xin Qian, Eunyee Koh, Fan Du, Sungchul Kim, Joel Chan:
A Formative Study on Designing Accurate and Natural Figure Captioning Systems. CHI Extended Abstracts 2020: 1-8
[c33]
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Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Ryan A. Rossi:
Figure Captioning with Relation Maps for Reasoning. WACV 2020: 1526-1534
[c32]
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Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim, Anup Rao, Yasin Abbasi-Yadkori:
A Structural Graph Representation Learning Framework. WSDM 2020: 483-491
[c31]
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Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Fast Hierarchical Graph Clustering in Linear-Time. WWW (Companion Volume) 2020: 10-12
[c30]
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Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed:
From Closing Triangles to Closing Higher-Order Motifs. WWW (Companion Volume) 2020: 42-43
[i15]
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  - journals/corr/abs-2009-10017
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Di Jin, Sungchul Kim, Ryan A. Rossi, Danai Koutra:
From Static to Dynamic Node Embeddings. CoRR abs/2009.10017 (2020)
[i14]
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  - journals/corr/abs-2009-12316
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Xin Qian, Ryan A. Rossi, Fan Du, Sungchul Kim, Eunyee Koh, Sana Malik, Tak Yeon Lee, Joel Chan:
ML-based Visualization Recommendation: Learning to Recommend Visualizations from Data. CoRR abs/2009.12316 (2020)
[i13]
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  - journals/corr/abs-2010-07373
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Hongjie Chen, Ryan A. Rossi, Kanak Mahadik, Sungchul Kim, Hoda Eldardiry:
Graph Deep Factors for Forecasting. CoRR abs/2010.07373 (2020)
[i12]
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  - journals/corr/abs-2010-12872
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Mrigank Raman, Siddhant Agarwal, Peifeng Wang, Aaron Chan, Hansen Wang, Sungchul Kim, Ryan A. Rossi, Handong Zhao, Nedim Lipka, Xiang Ren:
Learning to Deceive Knowledge Graph Augmented Models via Targeted Perturbation. CoRR abs/2010.12872 (2020)
[i11]
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Jun Yan, Mrigank Raman, Tianyu Zhang, Ryan A. Rossi, Handong Zhao, Sungchul Kim, Nedim Lipka, Xiang Ren:
Learning Contextualized Knowledge Structures for Commonsense Reasoning. CoRR abs/2010.12873 (2020)
[i10]
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  - journals/corr/abs-2010-14058
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Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup B. Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Graphlets. CoRR abs/2010.14058 (2020)

2010 – 2019

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2019
[j10]
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John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. ACM Trans. Knowl. Discov. Data 13(6): 62:1-62:25 (2019)
[c29]
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Shunan Guo, Fan Du, Sana Malik, Eunyee Koh, Sungchul Kim, Zhicheng Liu, Donghyun Kim, Hongyuan Zha, Nan Cao:
Visualizing Uncertainty and Alternatives in Event Sequence Predictions. CHI 2019: 573
[c28]
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John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Graph Convolutional Networks with Motif-based Attention. CIKM 2019: 499-508
[c27]
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Charles Chen, Ruiyi Zhang, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Neural caption generation over figures. UbiComp/ISWC Adjunct 2019: 482-485
[c26]
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Di Jin, Ryan A. Rossi, Eunyee Koh, Sungchul Kim, Anup Rao, Danai Koutra:
Latent Network Summarization: Bridging Network Embedding and Summarization. KDD 2019: 987-997
[c25]
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Xiaowei Jia, Sheng Li, Handong Zhao, Sungchul Kim, Vipin Kumar:
Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training? KDD 2019: 1665-1673
[c24]
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Donghyun Kim, Sungchul Kim, Handong Zhao, Sheng Li, Ryan A. Rossi, Eunyee Koh:
Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior. WSDM 2019: 663-671
[i9]
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Ryan A. Rossi, Nesreen K. Ahmed, Aldo G. Carranza, David Arbour, Anup Rao, Sungchul Kim, Eunyee Koh:
Heterogeneous Network Motifs. CoRR abs/1901.10026 (2019)
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John Boaz Lee, Giang Hoang Nguyen, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Temporal Network Representation Learning. CoRR abs/1904.06449 (2019)
[i7]
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Charles Chen, Ruiyi Zhang, Eunyee Koh, Sungchul Kim, Scott Cohen, Tong Yu, Ryan A. Rossi, Razvan C. Bunescu:
Figure Captioning with Reasoning and Sequence-Level Training. CoRR abs/1906.02850 (2019)
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Ryan A. Rossi, Anup Rao, Sungchul Kim, Eunyee Koh, Nesreen K. Ahmed, Gang Wu:
Higher-Order Ranking and Link Prediction: From Closing Triangles to Closing Higher-Order Motifs. CoRR abs/1906.05059 (2019)
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Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Linear-time Hierarchical Community Detection. CoRR abs/1906.06432 (2019)
[i4]
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Ryan A. Rossi, Di Jin, Sungchul Kim, Nesreen K. Ahmed, Danai Koutra, John Boaz Lee:
From Community to Role-based Graph Embeddings. CoRR abs/1908.08572 (2019)
2018
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Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Dynamic Network Embeddings: From Random Walks to Temporal Random Walks. IEEE BigData 2018: 1085-1092
[c22]
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Leila Jalali, Sungchul Kim, Narayanan Krishnamoorthy, Rahul Biswas:
Using Information in Access Logs for Large Scale Identity Linkage. IEEE BigData 2018: 2906-2911
[c21]
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Charles Chen, Sungchul Kim, Hung Bui, Ryan A. Rossi, Eunyee Koh, Branislav Kveton, Razvan C. Bunescu:
Predictive Analysis by Leveraging Temporal User Behavior and User Embeddings. CIKM 2018: 2175-2182
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Giang Hoang Nguyen, John Boaz Lee, Ryan A. Rossi, Nesreen K. Ahmed, Eunyee Koh, Sungchul Kim:
Continuous-Time Dynamic Network Embeddings. WWW (Companion Volume) 2018: 969-976
[i3]
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John Boaz Lee, Ryan A. Rossi, Sungchul Kim, Nesreen K. Ahmed, Eunyee Koh:
Attention Models in Graphs: A Survey. CoRR abs/1807.07984 (2018)
[i2]
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John Boaz Lee, Ryan A. Rossi, Xiangnan Kong, Sungchul Kim, Eunyee Koh, Anup Rao:
Higher-order Graph Convolutional Networks. CoRR abs/1809.07697 (2018)
[i1]
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Di Jin, Ryan A. Rossi, Danai Koutra, Eunyee Koh, Sungchul Kim, Anup Rao:
Bridging Network Embedding and Graph Summarization. CoRR abs/1811.04461 (2018)
2017
[c19]
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Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka:
Predicting Online Purchase Conversion for Retargeting. WSDM 2017: 591-600
[c18]
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Sungchul Kim, Sana Malik, Nedim Lipka, Eunyee Koh:
WimNet: Vision Search for Web Logs. WWW (Companion Volume) 2017: 803-804
[c17]
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Sungchul Kim, Nikhil Kini, Jay Pujara, Eunyee Koh, Lise Getoor:
Probabilistic Visitor Stitching on Cross-Device Web Logs. WWW 2017: 1581-1589
2016
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Sungchul Kim, Lee Sael, Hwanjo Yu:
A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization. Bioinform. 32(13): 2081 (2016)
[j8]
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Sungho Jeon, Sungchul Kim, Hwanjo Yu:
Spoiler detection in TV program tweets. Inf. Sci. 329: 220-235 (2016)
[c16]
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Sungchul Kim, Jinyoung Yeo, Eunyee Koh, Nedim Lipka:
Purchase Influence Mining: Identifying Top-k Items Attracting Purchase of Target Item. WWW (Companion Volume) 2016: 57-58
[c15]
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Jinyoung Yeo, Sungchul Kim, Eunyee Koh, Seung-won Hwang, Nedim Lipka:
Browsing2purchase: Online Customer Model for Sales Forecasting in an E-Commerce Site. WWW (Companion Volume) 2016: 133-134
2015
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Sungchul Kim, Lee Sael, Hwanjo Yu:
A mutation profile for top-k patient search exploiting Gene-Ontology and orthogonal non-negative matrix factorization. Bioinform. 31(22): 3653-3659 (2015)
[j6]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
LMDS-based approach for efficient top-k local ligand-binding site search. Int. J. Data Min. Bioinform. 12(4): 417-433 (2015)
2014
[j5]
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Jinha Kim, Wook-Shin Han, Jinoh Oh, Sungchul Kim, Hwanjo Yu:
Processing time-dependent shortest path queries without pre-computed speed information on road networks. Inf. Sci. 255: 135-154 (2014)
[j4]
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Sungchul Kim, Tao Qin, Tie-Yan Liu, Hwanjo Yu:
Advertiser-centric approach to understand user click behavior in sponsored search. Inf. Sci. 276: 242-254 (2014)
[j3]
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Jinoh Oh, Sungchul Kim, Jinha Kim, Hwanjo Yu:
When to recommend: A new issue on TV show recommendation. Inf. Sci. 280: 261-274 (2014)
[c14]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
Identifying Cancer Subtypes based on Somatic Mutation Profile. DTMBIO@CIKM 2014: 19-22
2013
[j2]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
Efficient protein structure search using indexing methods. BMC Medical Informatics Decis. Mak. 13(S-1): S8 (2013)
[c13]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
Efficient local ligand-binding site search using landmark mds. DTMBIO 2013: 13-14
[c12]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
Fast protein 3D surface search. ICUIMC 2013: 73
[c11]
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Sungho Jeon, Sungchul Kim, Hwanjo Yu:
Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets. ICWSM 2013
2012
[c10]
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Sungchul Kim, Kristina Toutanova, Hwanjo Yu:
Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia. ACL (1) 2012: 694-702
[c9]
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Sungchul Kim, Sungho Jeon, Jinha Kim, Young-Ho Park, Hwanjo Yu:
Finding Core Topics: Topic Extraction with Clustering on Tweet. CGC 2012: 777-782
[c8]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
Indexing methods for efficient protein 3D surface search. DTMBIO@CIKM 2012: 41-48
[p1]
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Hwanjo Yu, Sungchul Kim:
SVM Tutorial - Classification, Regression and Ranking. Handbook of Natural Computing 2012: 479-506
2011
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Sungchul Kim, Tao Qin, Hwanjo Yu, Tie-Yan Liu:
Advertiser-centric approach to understand user click behavior in sponsored search. CIKM 2011: 2121-2124
2010
[j1]
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Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han:
Enabling multi-level relevance feedback on PubMed by integrating rank learning into DBMS. BMC Bioinform. 11(S-2): 6 (2010)
[c6]
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Hwanjo Yu, Sungchul Kim, Seung-Hoon Na:
RankSVR: can preference data help regression? CIKM 2010: 879-888
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Hwanjo Yu, Sungchul Kim:
Passive Sampling for Regression. ICDM 2010: 1151-1156

2000 – 2009

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2009
[c4]
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Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim, Wook-Shin Han:
Enabling multi-level relevance feedback on pubmed by integrating rank learning into DBMS. DTMBIO 2009: 43-50
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Ngo Anh Vien, Nguyen Hoang Viet, TaeChoong Chung, Hwanjo Yu, Sungchul Kim, Baek Hwan Cho:
VRIFA: a nonlinear SVM visualization tool using nomogram and localized radial basis function (LRBF) kernels. CIKM 2009: 2081-2082
[c2]
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Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim:
RefMed: relevance feedback retrieval system fo PubMed. CIKM 2009: 2099-2100
2006
[c1]
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Sungchul Kim, Seoyong Shin:
Theoretical Analysis of Optical CDMA Encoder/Decoder using an Array of Superstructured Fiber Bragg Gragings. Wireless and Optical Communications 2006: 258-262

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