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2024
[c118]
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Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. AAAI 2024: 8582-8590
[c117]
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Seongbo Jang, Seonghyeon Lee, Hwanjo Yu:
KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark. LREC/COLING 2024: 9905-9925
[c116]
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Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu:
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. CVPR 2024: 22477-22487
[c115]
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Seonghyeon Lee, Suyeon Kim, Joonwon Jang, Heejae Chon, Dongha Lee, Hwanjo Yu:
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation. EMNLP (Findings) 2024: 1840-1846
[c114]
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SeongKu Kang, Yunyi Zhang, Pengcheng Jiang, Dongha Lee, Jiawei Han, Hwanjo Yu:
Taxonomy-guided Semantic Indexing for Academic Paper Search. EMNLP 2024: 7169-7184
[c113]
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Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu:
Continual Collaborative Distillation for Recommender System. KDD 2024: 1495-1505
[c112]
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Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu:
Exploring Language Model's Code Generation Ability with Auxiliary Functions. NAACL-HLT (Findings) 2024: 2836-2848
[c111]
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Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu:
Rectifying Demonstration Shortcut in In-Context Learning. NAACL-HLT 2024: 4294-4321
[c110]
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  - conf/sigir/HwangJKJY24
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Junyoung Hwang, Hyunjun Ju, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Sequential Recommendation via Domain Space Learning. SIGIR 2024: 2134-2144
[c109]
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  - conf/www/KangAJLY024
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SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. WWW 2024: 1497-1508
[c108]
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Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. WWW 2024: 3388-3399
[c107]
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Wonbin Kweon, Hwanjo Yu:
Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. WWW 2024: 3810-3820
[i44]
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  - journals/corr/abs-2402-16304
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Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. CoRR abs/2402.16304 (2024)
[i43]
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  - journals/corr/abs-2402-16327
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Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Deep Rating Elicitation for New Users in Collaborative Filtering. CoRR abs/2402.16327 (2024)
[i42]
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  - journals/corr/abs-2402-17377
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Seongbo Jang, Seonghyeon Lee, Hwanjo Yu:
KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark. CoRR abs/2402.17377 (2024)
[i41]
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  - journals/corr/abs-2403-00817
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Wonbin Kweon, Hwanjo Yu:
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random. CoRR abs/2403.00817 (2024)
[i40]
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  - journals/corr/abs-2403-04160
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SeongKu Kang, Shivam Agarwal, Bowen Jin, Dongha Lee, Hwanjo Yu, Jiawei Han:
Improving Retrieval in Theme-specific Applications using a Corpus Topical Taxonomy. CoRR abs/2403.04160 (2024)
[i39]
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  - journals/corr/abs-2403-04504
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Jaehyun Lee, SeongKu Kang, Hwanjo Yu:
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks. CoRR abs/2403.04504 (2024)
[i38]
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  - journals/corr/abs-2403-09488
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Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu:
Rectifying Demonstration Shortcut in In-Context Learning. CoRR abs/2403.09488 (2024)
[i37]
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  - journals/corr/abs-2403-10575
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Seonghyeon Lee, Sanghwan Jang, Seongbo Jang, Dongha Lee, Hwanjo Yu:
Exploring Language Model's Code Generation Ability with Auxiliary Functions. CoRR abs/2403.10575 (2024)
[i36]
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  - journals/corr/abs-2403-17374
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Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang, Hwanjo Yu:
Multi-Domain Recommendation to Attract Users via Domain Preference Modeling. CoRR abs/2403.17374 (2024)
[i35]
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  - journals/corr/abs-2405-19046
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Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu:
Continual Collaborative Distillation for Recommender System. CoRR abs/2405.19046 (2024)
[i34]
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  - journals/corr/abs-2405-19902
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Suyeon Kim, Dongha Lee, SeongKu Kang, Sukang Chae, Sanghwan Jang, Hwanjo Yu:
Learning Discriminative Dynamics with Label Corruption for Noisy Label Detection. CoRR abs/2405.19902 (2024)
[i33]
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  - journals/corr/abs-2409-13928
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Seonghyeon Lee, Suyeon Kim, Joonwon Jang, Heejae Chon, Dongha Lee, Hwanjo Yu:
Eliciting Instruction-tuned Code Language Models' Capabilities to Utilize Auxiliary Function for Code Generation. CoRR abs/2409.13928 (2024)
2023
[c106]
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  - conf/aaai/ChoHLCPY23
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Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu:
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. AAAI 2023: 4199-4207
[c105]
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  - conf/aaai/KimLKLY23
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Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu:
Learning Topology-Specific Experts for Molecular Property Prediction. AAAI 2023: 8291-8299
[c104]
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  - conf/www/KangKLL0Y23
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SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. WWW 2023: 801-811
[i32]
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  - journals/corr/abs-2301-12105
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Junsu Cho, Dongmin Hyun, Dong won Lim, Hyeon jae Cheon, Hyoung-iel Park, Hwanjo Yu:
Dynamic Multi-Behavior Sequence Modeling for Next Item Recommendation. CoRR abs/2301.12105 (2023)
[i31]
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  - journals/corr/abs-2302-13693
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Su Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu:
Learning Topology-Specific Experts for Molecular Property Prediction. CoRR abs/2302.13693 (2023)
[i30]
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  - journals/corr/abs-2303-01130
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SeongKu Kang, Wonbin Kweon, Dongha Lee, Jianxun Lian, Xing Xie, Hwanjo Yu:
Distillation from Heterogeneous Models for Top-K Recommendation. CoRR abs/2303.01130 (2023)
2022
[j53]
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  - journals/isci/JuLKY22
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Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu:
Mitigating viewpoint sensitivity of self-supervised one-class classifiers. Inf. Sci. 611: 225-242 (2022)
[j52]
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  - journals/kbs/KangLKY22
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SeongKu Kang, Dongha Lee, Wonbin Kweon, Hwanjo Yu:
Personalized Knowledge Distillation for Recommender System. Knowl. Based Syst. 239: 107958 (2022)
[c103]
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  - conf/aaai/KweonKY22
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Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. AAAI 2022: 4083-4091
[c102]
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  - conf/acl/LeeLJY22
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Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu:
Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning. ACL (1) 2022: 5969-5979
[c101]
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  - conf/cikm/HyunPCY22
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Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu:
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CIKM 2022: 812-821
[c100]
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  - conf/emnlp/LeeSLYY022
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Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han:
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. EMNLP (Findings) 2022: 1687-1700
[c99]
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  - conf/emnlp/HyunWP0Y22
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Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu:
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. EMNLP (Findings) 2022: 2939-2951
[c98]
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  - conf/kbse/0002HY22
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Jaehyung Lee, Kisun Han, Hwanjo Yu:
A Light Bug Triage Framework for Applying Large Pre-trained Language Model. ASE 2022: 3:1-3:11
[c97]
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Seongku Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu:
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. WWW 2022: 1965-1976
[c96]
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Dongha Lee, Jiaming Shen, Seongku Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. WWW 2022: 2819-2829
[i29]
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  - journals/corr/abs-2201-06771
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Dongha Lee, Jiaming Shen, SeongKu Kang, Susik Yoon, Jiawei Han, Hwanjo Yu:
TaxoCom: Topic Taxonomy Completion with Hierarchical Discovery of Novel Topic Clusters. CoRR abs/2201.06771 (2022)
[i28]
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  - journals/corr/abs-2202-13140
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SeongKu Kang, Dongha Lee, Wonbin Kweon, Junyoung Hwang, Hwanjo Yu:
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering. CoRR abs/2202.13140 (2022)
[i27]
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  - journals/corr/abs-2202-13196
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Seonghyeon Lee, Dongha Lee, Seongbo Jang, Hwanjo Yu:
Toward Interpretable Semantic Textual Similarity via Optimal Transport-based Contrastive Sentence Learning. CoRR abs/2202.13196 (2022)
[i26]
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  - journals/corr/abs-2209-06644
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Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu:
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CoRR abs/2209.06644 (2022)
[i25]
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  - journals/corr/abs-2211-01981
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Dongha Lee, Jiaming Shen, Seonghyeon Lee, Susik Yoon, Hwanjo Yu, Jiawei Han:
Topic Taxonomy Expansion via Hierarchy-Aware Topic Phrase Generation. CoRR abs/2211.01981 (2022)
[i24]
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  - journals/corr/abs-2212-10843
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Dongmin Hyun, Xiting Wang, Chanyoung Park, Xing Xie, Hwanjo Yu:
Generating Multiple-Length Summaries via Reinforcement Learning for Unsupervised Sentence Summarization. CoRR abs/2212.10843 (2022)
2021
[j51]
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Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu:
Learning to utilize auxiliary reviews for recommendation. Inf. Sci. 545: 595-607 (2021)
[j50]
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SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Item-side ranking regularized distillation for recommender system. Inf. Sci. 580: 15-34 (2021)
[c95]
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  - conf/aaai/LeeLY21
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Dongha Lee, Seonghyeon Lee, Hwanjo Yu:
Learnable Dynamic Temporal Pooling for Time Series Classification. AAAI 2021: 8288-8296
[c94]
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  - conf/acl/LeeLY20
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Seonghyeon Lee, Dongha Lee, Hwanjo Yu:
OoMMix: Out-of-manifold Regularization in Contextual Embedding Space for Text Classification. ACL/IJCNLP (1) 2021: 590-599
[c93]
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Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu:
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. ICCV 2021: 7335-7344
[c92]
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Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
Learnable Structural Semantic Readout for Graph Classification. ICDM 2021: 1180-1185
[c91]
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Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu:
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. ICDM 2021: 1186-1191
[c90]
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SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Topology Distillation for Recommender System. KDD 2021: 829-839
[c89]
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  - conf/sigir/ChoKHY21
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Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu:
Unsupervised Proxy Selection for Session-based Recommender Systems. SIGIR 2021: 327-336
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Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu:
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. SIGIR 2021: 1513-1522
[c87]
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Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu:
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. WWW 2021: 1274-1283
[c86]
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Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Bidirectional Distillation for Top-K Recommender System. WWW 2021: 3861-3871
[i23]
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  - journals/corr/abs-2104-00941
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Dongha Lee, Sehun Yu, Hwanjo Yu:
Multi-Class Data Description for Out-of-distribution Detection. CoRR abs/2104.00941 (2021)
[i22]
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  - journals/corr/abs-2104-02577
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Dongha Lee, Seonghyeon Lee, Hwanjo Yu:
Learnable Dynamic Temporal Pooling for Time Series Classification. CoRR abs/2104.02577 (2021)
[i21]
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  - journals/corr/abs-2104-14200
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Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu:
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. CoRR abs/2104.14200 (2021)
[i20]
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  - journals/corr/abs-2105-06323
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Dongha Lee, SeongKu Kang, Hyunjun Ju, Chanyoung Park, Hwanjo Yu:
Bootstrapping User and Item Representations for One-Class Collaborative Filtering. CoRR abs/2105.06323 (2021)
[i19]
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Seonghyeon Lee, Dongha Lee, Hwanjo Yu:
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification. CoRR abs/2105.06750 (2021)
[i18]
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  - journals/corr/abs-2106-02870
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Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Bidirectional Distillation for Top-K Recommender System. CoRR abs/2106.02870 (2021)
[i17]
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  - journals/corr/abs-2106-08700
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SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Topology Distillation for Recommender System. CoRR abs/2106.08700 (2021)
[i16]
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  - journals/corr/abs-2107-03564
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Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu:
Unsupervised Proxy Selection for Session-based Recommender Systems. CoRR abs/2107.03564 (2021)
[i15]
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  - journals/corr/abs-2108-06816
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Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu:
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. CoRR abs/2108.06816 (2021)
[i14]
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  - journals/corr/abs-2111-11523
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Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
Learnable Structural Semantic Readout for Graph Classification. CoRR abs/2111.11523 (2021)
[i13]
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  - journals/corr/abs-2111-12796
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Dongha Lee, Dongmin Hyun, Jiawei Han, Hwanjo Yu:
Out-of-Category Document Identification Using Target-Category Names as Weak Supervision. CoRR abs/2111.12796 (2021)
[i12]
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  - journals/corr/abs-2112-07428
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Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. CoRR abs/2112.07428 (2021)
2020
[j49]
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  - journals/isci/LeeOY20
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Dongha Lee, Jinoh Oh, Hwanjo Yu:
OCam: Out-of-core coordinate descent algorithm for matrix completion. Inf. Sci. 514: 587-604 (2020)
[j48]
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  - journals/isci/KimLOY20
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Byungju Kim, Dongha Lee, Jinoh Oh, Hwanjo Yu:
Scalable disk-based topic modeling for memory limited devices. Inf. Sci. 516: 353-369 (2020)
[j47]
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Seongbo Jang, Ye-Eun Jang, Young-Jin Kim, Hwanjo Yu:
Input initialization for inversion of neural networks using k-nearest neighbor approach. Inf. Sci. 519: 229-242 (2020)
[j46]
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  - journals/isci/ParkKYLY20
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Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu:
Click-aware purchase prediction with push at the top. Inf. Sci. 521: 350-364 (2020)
[j45]
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  - journals/isci/JuLHNY20
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Hyunjun Ju, Dongha Lee, Junyoung Hwang, Junghyun Namkung, Hwanjo Yu:
PUMAD: PU Metric learning for anomaly detection. Inf. Sci. 523: 167-183 (2020)
[j44]
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  - journals/jamia/LeeYJRGTZX20
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Dongha Lee, Hwanjo Yu, Xiaoqian Jiang, Deevakar Rogith, Meghana Gudala, Mubeen Tejani, Qiuchen Zhang, Li Xiong:
Generating sequential electronic health records using dual adversarial autoencoder. J. Am. Medical Informatics Assoc. 27(9): 1411-1419 (2020)
[j43]
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Dongha Lee, Xiaoqian Jiang, Hwanjo Yu:
Harmonized representation learning on dynamic EHR graphs. J. Biomed. Informatics 106: 103426 (2020)
[j42]
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  - journals/kais/ZhangOSPFY20
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Jiyuan Zhang, Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu:
Fast and memory-efficient algorithms for high-order Tucker decomposition. Knowl. Inf. Syst. 62(7): 2765-2794 (2020)
[j41]
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  - journals/kbs/ParkHY20
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Chanyoung Park, Jiawei Han, Hwanjo Yu:
Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowl. Based Syst. 197: 105861 (2020)
[c85]
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Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. AAAI 2020: 5371-5378
[c84]
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  - conf/cikm/KangHKY20
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SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. CIKM 2020: 605-614
[c83]
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  - conf/coling/HyunCY20
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Dongmin Hyun, Junsu Cho, Hwanjo Yu:
Building Large-Scale English and Korean Datasets for Aspect-Level Sentiment Analysis in Automotive Domain. COLING 2020: 961-966
[c82]
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Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu:
Interest Sustainability-Aware Recommender System. ICDM 2020: 192-201
[c81]
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  - conf/icpr/ShinCYC20
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Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi:
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. ICPR 2020: 4083-4090
[c80]
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  - conf/icuimc/KangHY20
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SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Multi-Modal Component Embedding for Fake News Detection. IMCOM 2020: 1-6
[c79]
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Sehun Yu, Dongha Lee, Hwanjo Yu:
Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection. IJCAI 2020: 2435-2441
[c78]
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  - conf/kdd/LeeYY20
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Dongha Lee, Sehun Yu, Hwanjo Yu:
Multi-Class Data Description for Out-of-distribution Detection. KDD 2020: 1362-1370
[c77]
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  - conf/kdd/ParkYZKY020
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Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445
[c76]
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  - conf/www/KweonKHY20
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Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Deep Rating Elicitation for New Users in Collaborative Filtering. WWW 2020: 2810-2816
[i11]
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  - journals/corr/abs-2006-04239
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Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020)
[i10]
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  - journals/corr/abs-2009-02909
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Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi:
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. CoRR abs/2009.02909 (2020)
[i9]
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  - journals/corr/abs-2012-04357
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SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. CoRR abs/2012.04357 (2020)

2010 – 2019

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What is the meaning of the colors in the publication lists?

2019
[j40]
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Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu:
Target-aware convolutional neural network for target-level sentiment analysis. Inf. Sci. 491: 166-178 (2019)
[j39]
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Chanyoung Park, Donghyun Kim, Hwanjo Yu:
An encoder-decoder switch network for purchase prediction. Knowl. Based Syst. 185 (2019)
[j38]
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Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee:
Adversarial approach to domain adaptation for reinforcement learning on dialog systems. Pattern Recognit. Lett. 128: 467-473 (2019)
[c75]
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Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CIKM 2019: 489-498
[c74]
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Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CIKM 2019: 619-628
[c73]
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SeongKu Kang, Junyoung Hwang, Dongha Lee, Hwanjo Yu:
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. CIKM 2019: 1563-1572
[c72]
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Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu:
Sequential and Diverse Recommendation with Long Tail. IJCAI 2019: 2740-2746
[c71]
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Dongha Lee, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu:
Action Space Learning for Heterogeneous User Behavior Prediction. IJCAI 2019: 2830-2836
[i8]
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  - journals/corr/abs-1906-01546
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Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CoRR abs/1906.01546 (2019)
[i7]
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  - journals/corr/abs-1906-01637
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Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. CoRR abs/1906.01637 (2019)
[i6]
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  - journals/corr/abs-1911-06750
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Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. CoRR abs/1911.06750 (2019)
[i5]
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  - journals/corr/abs-1912-08925
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Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CoRR abs/1912.08925 (2019)
2018
[c70]
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  - conf/cikm/LeeOFKY18
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Dongha Lee, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu:
Disk-based Matrix Completion for Memory Limited Devices. CIKM 2018: 1093-1102
[c69]
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  - conf/emnlp/RyuKYL18
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Seonghan Ryu, Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee:
Out-of-domain Detection based on Generative Adversarial Network. EMNLP 2018: 714-718
[c68]
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Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. ICDM 2018: 367-376
[c67]
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Dongha Lee, Jaehyung Lee, Hwanjo Yu:
Fast Tucker Factorization for Large-Scale Tensor Completion. ICDM 2018: 1098-1103
[c66]
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  - conf/icuimc/JuY18
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Hyunjun Ju, Hwanjo Yu:
Sentiment Classification with Convolutional Neural Network using Multiple Word Representations. IMCOM 2018: 9:1-9:7
[c65]
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Dongha Lee, Hyunjun Ju, Hwanjo Yu, Jung-Mi Park, Kye-Yoon Kim:
DualSentiNet: Dual Prediction of Word and Document Sentiments Using Shared Word Embedding. IMCOM 2018: 34:1-34:9
[c64]
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Gyoung S. Na, Donghyun Kim, Hwanjo Yu:
DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams. KDD 2018: 1993-2002
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Dongmin Hyun, Chanyoung Park, Min-Chul Yang, Ilhyeon Song, Jung-Tae Lee, Hwanjo Yu:
Review Sentiment-Guided Scalable Deep Recommender System. SIGIR 2018: 965-968
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Hwanjo Yu:
Bootstrap. Encyclopedia of Database Systems (2nd ed.) 2018
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Hwanjo Yu:
Support Vector Machine. Encyclopedia of Database Systems (2nd ed.) 2018
[i4]
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  - journals/corr/abs-1807-11567
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Seonghan Ryu, Seokhwan Kim, Junhwi Choi, Hwanjo Yu, Gary Geunbae Lee:
Neural Sentence Embedding using Only In-domain Sentences for Out-of-domain Sentence Detection in Dialog Systems. CoRR abs/1807.11567 (2018)
2017
[j37]
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Dongeun Kim, Dongmin Hyeon, Jinoh Oh, Wook-Shin Han, Hwanjo Yu:
Influence maximization based on reachability sketches in dynamic graphs. Inf. Sci. 394: 217-231 (2017)
[j36]
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Yoojin Park, Jinoh Oh, Hwanjo Yu:
RecTime: Real-Time recommender system for online broadcasting. Inf. Sci. 409: 1-16 (2017)
[j35]
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Seung-Keol Kim, Dongeun Kim, Jinoh Oh, Jeong-Hyon Hwang, Wook-Shin Han, Wei Chen, Hwanjo Yu:
Scalable and parallelizable influence maximization with Random Walk Ranking and Rank Merge Pruning. Inf. Sci. 415: 171-189 (2017)
[j34]
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Donghyun Kim, Chanyoung Park, Jinoh Oh, Hwanjo Yu:
Deep hybrid recommender systems via exploiting document context and statistics of items. Inf. Sci. 417: 72-87 (2017)
[j33]
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Seonghan Ryu, Seokhwan Kim, Junhwi Choi, Hwanjo Yu, Gary Geunbae Lee:
Neural sentence embedding using only in-domain sentences for out-of-domain sentence detection in dialog systems. Pattern Recognit. Lett. 88: 26-32 (2017)
[c62]
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Jingyun Choi, Yejin Kim, Hun-Sung Kim, In Young Choi, Hwanjo Yu:
Tensor-Factorization-Based Phenotyping using Group Information: Case Study on the Efficacy of Statins. BCB 2017: 516-525
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Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu:
DiagTree: Diagnostic Tree for Differential Diagnosis. CIKM 2017: 1179-1188
[c60]
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Sangdo Han, Soonchoul Kwon, Hwanjo Yu, Gary Geunbae Lee:
Answer ranking based on named entity types for question answering. IMCOM 2017: 71
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Seonghan Ryu, Hwanjo Yu, Gary Geunbae Lee:
Two-stage approach to named entity recognition using Wikipedia and DBpedia. IMCOM 2017: 73
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Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. KDD 2017: 887-895
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Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis, Christos Faloutsos, Hwanjo Yu:
S-HOT: Scalable High-Order Tucker Decomposition. WSDM 2017: 761-770
[c56]
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Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Do "Also-Viewed" Products Help User Rating Prediction? WWW 2017: 1113-1122
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Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. CoRR abs/1704.03141 (2017)
[i2]
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Chanyoung Park, Donghyun Kim, Min-Chul Yang, Jung-Tae Lee, Hwanjo Yu:
Your Click Knows It: Predicting User Purchase through Improved User-Item Pairwise Relationship. CoRR abs/1706.06716 (2017)
2016
[j32]
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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)
[j31]
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Sungho Jeon, Sungchul Kim, Hwanjo Yu:
Spoiler detection in TV program tweets. Inf. Sci. 329: 220-235 (2016)
[j30]
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Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Improving top-K recommendation with truster and trustee relationship in user trust network. Inf. Sci. 374: 100-114 (2016)
[j29]
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Dongha Lee, Jinoh Oh, Woong-Kee Loh, Hwanjo Yu:
GeoVideoIndex: Indexing for georeferenced videos. Inf. Sci. 374: 210-223 (2016)
[j28]
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Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Hwanjo Yu:
Discovery of prostate specific antigen pattern to predict castration resistant prostate cancer of androgen deprivation therapy. BMC Medical Informatics Decis. Mak. 16(S-1): 63 (2016)
[c55]
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Sangjun Koo, Gary Geunbae Lee, Hwanjo Yu:
Mathematical Model for Processing Multi-user Requests on POMDP Hybrid Dialog Management. IMCOM 2016: 102:1-102:4
[c54]
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Muhammad Humayoun, Hwanjo Yu:
Analyzing Pre-processing Settings for Urdu Single-document Extractive Summarization. LREC 2016
[c53]
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Soonchoul Kwon, Seonyeong Park, Daehwan Nam, Kyusong Lee, Hwanjo Yu, Gary Geunbae Lee:
ISOFT-Team at NTCIR-12 QALab-2: Using Choice Verification. NTCIR 2016
[c52]
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Donghyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu:
Convolutional Matrix Factorization for Document Context-Aware Recommendation. RecSys 2016: 233-240
[c51]
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Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
TRecSo: Enhancing Top-k Recommendation With Social Information. WWW (Companion Volume) 2016: 89-90
[i1]
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Byungsoo Kim, Hwanjo Yu, Gary Geunbae Lee:
Automatic Open Knowledge Acquisition via Long Short-Term Memory Networks with Feedback Negative Sampling. CoRR abs/1605.07918 (2016)
2015
[j27]
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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)
[j26]
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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)
[j25]
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Woong-Kee Loh, Hwanjo Yu:
Fast density-based clustering through dataset partition using graphics processing units. Inf. Sci. 308: 94-112 (2015)
[j24]
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Min Song, Hwanjo Yu, Wook-Shin Han:
Developing a hybrid dictionary-based bio-entity recognition technique. BMC Medical Informatics Decis. Mak. 15-S(S-1): S9 (2015)
[c50]
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Yejin Kim, Yong Hyun Park, Ji Youl Lee, In Young Choi, Donghyun Kim, Hwanjo Yu:
Discovery of Prostate Specific Antigen Pattern to Predict Castration Resistant Prostate Cancer of Androgen Deprivation Therapy. DTMBIO@CIKM 2015: 13
[c49]
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Jinoh Oh, Wook-Shin Han, Hwanjo Yu, Xiaoqian Jiang:
Fast and Robust Parallel SGD Matrix Factorization. KDD 2015: 865-874
[c48]
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Chanyoung Park, Donghyun Kim, Jinoh Oh, Hwanjo Yu:
Predicting User Purchase in E-commerce by Comprehensive Feature Engineering and Decision Boundary Focused Under-Sampling. RecSys Challenge 2015: 8:1-8:4
2014
[j23]
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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)
[j22]
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Youngdae Kim, Ilhwan Ko, Wook-Shin Han, Hwanjo Yu:
iKernel: Exact indexing for support vector machines. Inf. Sci. 257: 32-53 (2014)
[j21]
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Wook-Shin Han, Wooseong Kwak, Hwanjo Yu, Jeong-Hoon Lee, Min-Soo Kim:
Leveraging spatial join for robust tuple extraction from web pages. Inf. Sci. 261: 132-148 (2014)
[j20]
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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)
[j19]
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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)
[j18]
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Youngwoo Kim, Jinha Kim, Hwanjo Yu:
GeoTree: Using spatial information for georeferenced video search. Knowl. Based Syst. 61: 1-12 (2014)
[j17]
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Jinha Kim, Wonyeol Lee, Hwanjo Yu:
CT-IC: Continuously activated and Time-restricted Independent Cascade model for viral marketing. Knowl. Based Syst. 62: 57-68 (2014)
[c47]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
Identifying Cancer Subtypes based on Somatic Mutation Profile. DTMBIO@CIKM 2014: 19-22
[c46]
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Jinha Kim, Wook-Shin Han, Sangyeon Lee, Kyungyeol Park, Hwanjo Yu:
OPT: a new framework for overlapped and parallel triangulation in large-scale graphs. SIGMOD Conference 2014: 637-648
2013
[j16]
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Jinoh Oh, Taehoon Kim, Sun Park, Hwanjo Yu, Young Ho Lee:
Efficient semantic network construction with application to PubMed search. Knowl. Based Syst. 39: 185-193 (2013)
[j15]
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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)
[c45]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
Efficient local ligand-binding site search using landmark mds. DTMBIO 2013: 13-14
[c44]
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Min Song, Wook-Shin Han, Hwanjo Yu:
BoDBES: a boosted dictionary-based biomedical entity spotter. DTMBIO 2013: 21-22
[c43]
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Jinha Kim, Seung-Keol Kim, Hwanjo Yu:
Scalable and parallelizable processing of influence maximization for large-scale social networks? ICDE 2013: 266-277
[c42]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
Fast protein 3D surface search. ICUIMC 2013: 73
[c41]
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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
[c40]
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Wook-Shin Han, Sangyeon Lee, Kyungyeol Park, Jeong-Hoon Lee, Min-Soo Kim, Jinha Kim, Hwanjo Yu:
TurboGraph: a fast parallel graph engine handling billion-scale graphs in a single PC. KDD 2013: 77-85
2012
[j14]
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Hwanjo Yu, Jinha Kim, Youngdae Kim, Seung-won Hwang, Young Ho Lee:
An efficient method for learning nonlinear ranking SVM functions. Inf. Sci. 209: 37-48 (2012)
[c39]
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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
[c38]
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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
[c37]
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Jinoh Oh, Youngchul Sung, Jinha Kim, Muhammad Humayoun, Young-Ho Park, Hwanjo Yu:
Time-Dependent User Profiling for TV Recommendation. CGC 2012: 783-787
[c36]
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Sungchul Kim, Lee Sael, Hwanjo Yu:
Indexing methods for efficient protein 3D surface search. DTMBIO@CIKM 2012: 41-48
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Jinoh Oh, Hwanjo Yu:
iSampling: framework for developing sampling methods considering user's interest. CIKM 2012: 1667-1671
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Kyuseok Shim, Sang Kyun Cha, Lei Chen, Wook-Shin Han, Divesh Srivastava, Katsumi Tanaka, Hwanjo Yu, Xiaofang Zhou:
Data Management Challenges and Opportunities in Cloud Computing. DASFAA (2) 2012: 323
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Wonyeol Lee, Jinha Kim, Hwanjo Yu:
CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing. ICDM 2012: 960-965
[c32]
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Youngwoo Kim, Jinha Kim, Hwanjo Yu:
GeoSearch: georeferenced video retrieval system. KDD 2012: 1540-1543
[c31]
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Jinoh Oh, Taehoon Kim, Sun Park, Hwanjo Yu:
PubMed search and exploration with real-time semantic network construction. KDD 2012: 1572-1575
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Hwanjo Yu, Sungchul Kim:
SVM Tutorial - Classification, Regression and Ranking. Handbook of Natural Computing 2012: 479-506
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Hwanjo Yu, Ge Yu, Wynne Hsu, Yang-Sae Moon, Rainer Unland, Jaesoo Yoo:
Database Systems for Advanced Applications - 17th International Conference, DASFAA 2012, International Workshops: FlashDB, ITEMS, SNSM, SIM3, DQDI, Busan, South Korea, April 15-19, 2012. Proceedings. Lecture Notes in Computer Science 7240, Springer 2012, ISBN 978-3-642-29022-0 [contents]
2011
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Min Song, Hwanjo Yu, Wook-Shin Han:
Combining active learning and semi-supervised learning techniques to extract protein interaction sentences. BMC Bioinform. 12(S-12): S4 (2011)
[j12]
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Jinsoo Lee, Minh-Duc Pham, Jihwan Lee, Wook-Shin Han, Hune Cho, Hwanjo Yu, Jeong-Hoon Lee:
Processing SPARQL queries with regular expressions in RDF databases. BMC Bioinform. 12(S-2): S6 (2011)
[j11]
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Hwanjo Yu:
Selective sampling techniques for feedback-based data retrieval. Data Min. Knowl. Discov. 22(1-2): 1-30 (2011)
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Ngo Anh Vien, Hwanjo Yu, TaeChoong Chung:
Hessian matrix distribution for Bayesian policy gradient reinforcement learning. Inf. Sci. 181(9): 1671-1685 (2011)
[c30]
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Min Song, Said Bleik, Hwanjo Yu, Wook-Shin Han:
Extracting biomedical concepts from fulltext by relative importance in a graph model. BIBM Workshops 2011: 586-593
[c29]
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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
[c28]
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Jinoh Oh, Sun Park, Hwanjo Yu, Min Song, Seung-Taek Park:
Novel Recommendation Based on Personal Popularity Tendency. ICDM 2011: 507-516
[c27]
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Byoungyoung Lee, Jinoh Oh, Hwanjo Yu, Jong Kim:
Protecting location privacy using location semantics. KDD 2011: 1289-1297
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Wook-Shin Han, Jinsoo Lee, Yang-Sae Moon, Seung-won Hwang, Hwanjo Yu:
A new approach for processing ranked subsequence matching based on ranked union. SIGMOD Conference 2011: 457-468
[c25]
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Hwanjo Yu, Ilhwan Ko, Youngdae Kim, Seung-won Hwang, Wook-Shin Han:
Exact indexing for support vector machines. SIGMOD Conference 2011: 709-720
2010
[j9]
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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)
[c24]
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Hwanjo Yu, Sungchul Kim, Seung-Hoon Na:
RankSVR: can preference data help regression? CIKM 2010: 879-888
[c23]
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Wook-Shin Han, Wooseong Kwak, Hwanjo Yu:
On supporting effective web extraction. ICDE 2010: 773-775
[c22]
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Hwanjo Yu, Sungchul Kim:
Passive Sampling for Regression. ICDM 2010: 1151-1156
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Wook-Shin Han, Divesh Srivastava, Ge Yu, Hwanjo Yu, Zi Helen Huang:
Advances in Web Technologies and Applications, Proceedings of the 12th Asia-Pacific Web Conference, APWeb 2010, Busan, Korea, 6-8 April 2010. IEEE Computer Society 2010, ISBN 978-0-7695-4012-2 [contents]

2000 – 2009

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2009
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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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Hwanjo Yu, Jinoh Oh, Wook-Shin Han:
Efficient feature weighting methods for ranking. CIKM 2009: 1157-1166
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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
[c18]
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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
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Byungchul Park, Young J. Won, Hwanjo Yu, James Won-Ki Hong, Hong-Sun Noh, Jang Jin Lee:
Fault detection in IP-based process control networks using data mining. Integrated Network Management 2009: 211-217
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Hwanjo Yu, Youngdae Kim, Seung-won Hwang:
RV-SVM: An Efficient Method for Learning Ranking SVM. PAKDD 2009: 426-438
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Hwanjo Yu:
Bootstrap. Encyclopedia of Database Systems 2009: 263-264
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Hwanjo Yu:
Support Vector Machine. Encyclopedia of Database Systems 2009: 2890-2892
2008
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Baek Hwan Cho, Hwanjo Yu, Kwang-Won Kim, Tae Hyun Kim, In-Young Kim, Sun I. Kim:
Application of irregular and unbalanced data to predict diabetic nephropathy using visualization and feature selection methods. Artif. Intell. Medicine 42(1): 37-53 (2008)
[j7]
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Gae-won You, Seung-won Hwang, Hwanjo Yu:
Supporting personalized ranking over categorical attributes. Inf. Sci. 178(18): 3510-3524 (2008)
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Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang:
Privacy-preserving SVM classification. Knowl. Inf. Syst. 14(2): 161-178 (2008)
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Baek Hwan Cho, Hwanjo Yu, Jong Shill Lee, Young Joon Chee, In-Young Kim, Sun I. Kim:
Nonlinear Support Vector Machine Visualization for Risk Factor Analysis Using Nomograms and Localized Radial Basis Function Kernels. IEEE Trans. Inf. Technol. Biomed. 12(2): 247-256 (2008)
2007
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Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang:
Enabling soft queries for data retrieval. Inf. Syst. 32(4): 560-574 (2007)
[c15]
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Thomas R. Clancy, Connie White-Delaney, Alberto M. Segre, Kathleen M. Carley, Andrew Kuziak, Hwanjo Yu:
Predicting the Impact of an Electronic Health Record on Practice Patterns Using Computational Modeling and Simulation. AMIA 2007
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Seung-won Hwang, Hwanjo Yu:
Mining and processing category ranking. SAC 2007: 441-442
2006
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Hwanjo Yu, Jaideep Vaidya, Xiaoqian Jiang:
Privacy-Preserving SVM Classification on Vertically Partitioned Data. PAKDD 2006: 647-656
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Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data. SAC 2006: 603-610
2005
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Hwanjo Yu, Jiong Yang, Jiawei Han, Xiaolei Li:
Making SVMs Scalable to Large Data Sets using Hierarchical Cluster Indexing. Data Min. Knowl. Discov. 11(3): 295-321 (2005)
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Hwanjo Yu:
Single-Class Classification with Mapping Convergence. Mach. Learn. 61(1-3): 49-69 (2005)
[c11]
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Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang:
Enabling Ad-hoc Ranking for Data Retrieval. ICDE 2005: 514-515
[c10]
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Hwanjo Yu:
SVM selective sampling for ranking with application to data retrieval. KDD 2005: 354-363
[c9]
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Chao Liu, Xifeng Yan, Hwanjo Yu, Jiawei Han, Philip S. Yu:
Mining Behavior Graphs for "Backtrace" of Noncrashing Bugs. SDM 2005: 286-297
2004
[j1]
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Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang:
PEBL: Web Page Classification without Negative Examples. IEEE Trans. Knowl. Data Eng. 16(1): 70-81 (2004)
[c8]
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Hwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han:
Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining. ICDM 2004: 563-566
2003
[c7]
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Hwanjo Yu, ChengXiang Zhai, Jiawei Han:
Text classification from positive and unlabeled documents. CIKM 2003: 232-239
[c6]
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Hwanjo Yu, Jiong Yang, Wei Wang, Jiawei Han:
Discovering Compact and Highly Discriminative Features or Feature Combinations of Drug Activities Using Support Vector Machines. CSB 2003: 220-228
[c5]
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Hwanjo Yu:
General MC: Estimating Boundary of Positive Class from Small Positive Data. ICDM 2003: 693-696
[c4]
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Hwanjo Yu:
SVMC: Single-Class Classification With Support Vector Machines. IJCAI 2003: 567-574
[c3]
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Hwanjo Yu, Jiong Yang, Jiawei Han:
Classifying large data sets using SVMs with hierarchical clusters. KDD 2003: 306-315
2002
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Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han:
Heterogeneous Learner for Web Page Classification. ICDM 2002: 538-545
[c1]
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Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang:
PEBL: positive example based learning for Web page classification using SVM. KDD 2002: 239-248

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