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2020 – today
- 2024
- [c114]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 - [c113]Seongbo Jang, Seonghyeon Lee, Hwanjo Yu:
KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark. LREC/COLING 2024: 9905-9925 - [c112]Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu:
Continual Collaborative Distillation for Recommender System. KDD 2024: 1495-1505 - [c111]Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu:
Rectifying Demonstration Shortcut in In-Context Learning. NAACL-HLT 2024: 4294-4321 - [c110]Junyoung Hwang
, Hyunjun Ju
, SeongKu Kang
, Sanghwan Jang
, Hwanjo Yu
:
Multi-Domain Sequential Recommendation via Domain Space Learning. SIGIR 2024: 2134-2144 - [c109]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]Wonbin Kweon
, SeongKu Kang
, Sanghwan Jang
, Hwanjo Yu
:
Top-Personalized-K Recommendation. WWW 2024: 3388-3399 - [c107]Wonbin Kweon
, Hwanjo Yu
:
Doubly Calibrated Estimator for Recommendation on Data Missing Not at Random. WWW 2024: 3810-3820 - [i43]Wonbin Kweon, SeongKu Kang, Sanghwan Jang, Hwanjo Yu:
Top-Personalized-K Recommendation. CoRR abs/2402.16304 (2024) - [i42]Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Deep Rating Elicitation for New Users in Collaborative Filtering. CoRR abs/2402.16327 (2024) - [i41]Seongbo Jang, Seonghyeon Lee, Hwanjo Yu:
KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark. CoRR abs/2402.17377 (2024) - [i40]Wonbin Kweon, Hwanjo Yu:
Doubly Calibrated Estimator for Recommendation on Data Missing Not At Random. CoRR abs/2403.00817 (2024) - [i39]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) - [i38]Jaehyun Lee, SeongKu Kang, Hwanjo Yu:
Improving Matrix Completion by Exploiting Rating Ordinality in Graph Neural Networks. CoRR abs/2403.04504 (2024) - [i37]Joonwon Jang, Sanghwan Jang, Wonbin Kweon, Minjin Jeon, Hwanjo Yu:
Rectifying Demonstration Shortcut in In-Context Learning. CoRR abs/2403.09488 (2024) - [i36]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) - [i35]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) - [i34]Gyuseok Lee, SeongKu Kang, Wonbin Kweon, Hwanjo Yu:
Continual Collaborative Distillation for Recommender System. CoRR abs/2405.19046 (2024) - [i33]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) - 2023
- [c106]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]Suyeon Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu:
Learning Topology-Specific Experts for Molecular Property Prediction. AAAI 2023: 8291-8299 - [c104]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]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]Su Kim, Dongha Lee, SeongKu Kang, Seonghyeon Lee, Hwanjo Yu:
Learning Topology-Specific Experts for Molecular Property Prediction. CoRR abs/2302.13693 (2023) - [i30]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]Hyunjun Ju, Dongha Lee, SeongKu Kang, Hwanjo Yu:
Mitigating viewpoint sensitivity of self-supervised one-class classifiers. Inf. Sci. 611: 225-242 (2022) - [j52]SeongKu Kang
, Dongha Lee
, Wonbin Kweon
, Hwanjo Yu
:
Personalized Knowledge Distillation for Recommender System. Knowl. Based Syst. 239: 107958 (2022) - [c103]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. AAAI 2022: 4083-4091 - [c102]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]Dongmin Hyun, Chanyoung Park, Junsu Cho, Hwanjo Yu:
Beyond Learning from Next Item: Sequential Recommendation via Personalized Interest Sustainability. CIKM 2022: 812-821 - [c100]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]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]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]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]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]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]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]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]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]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]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]Dongmin Hyun, Chanyoung Park
, Junsu Cho, Hwanjo Yu:
Learning to utilize auxiliary reviews for recommendation. Inf. Sci. 545: 595-607 (2021) - [j50]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Item-side ranking regularized distillation for recommender system. Inf. Sci. 580: 15-34 (2021) - [c95]Dongha Lee
, Seonghyeon Lee, Hwanjo Yu:
Learnable Dynamic Temporal Pooling for Time Series Classification. AAAI 2021: 8288-8296 - [c94]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]Dongha Lee
, Sehun Yu, Hyunjun Ju, Hwanjo Yu:
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. ICCV 2021: 7335-7344 - [c92]Dongha Lee
, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
Learnable Structural Semantic Readout for Graph Classification. ICDM 2021: 1180-1185 - [c91]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]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Topology Distillation for Recommender System. KDD 2021: 829-839 - [c89]Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu:
Unsupervised Proxy Selection for Session-based Recommender Systems. SIGIR 2021: 327-336 - [c88]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]Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu:
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. WWW 2021: 1274-1283 - [c86]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Bidirectional Distillation for Top-K Recommender System. WWW 2021: 3861-3871 - [i23]Dongha Lee, Sehun Yu, Hwanjo Yu:
Multi-Class Data Description for Out-of-distribution Detection. CoRR abs/2104.00941 (2021) - [i22]Dongha Lee, Seonghyeon Lee, Hwanjo Yu:
Learnable Dynamic Temporal Pooling for Time Series Classification. CoRR abs/2104.02577 (2021) - [i21]Junsu Cho, Dongmin Hyun, SeongKu Kang, Hwanjo Yu:
Learning Heterogeneous Temporal Patterns of User Preference for Timely Recommendation. CoRR abs/2104.14200 (2021) - [i20]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]Seonghyeon Lee, Dongha Lee, Hwanjo Yu:
Out-of-Manifold Regularization in Contextual Embedding Space for Text Classification. CoRR abs/2105.06750 (2021) - [i18]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Bidirectional Distillation for Top-K Recommender System. CoRR abs/2106.02870 (2021) - [i17]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
Topology Distillation for Recommender System. CoRR abs/2106.08700 (2021) - [i16]Junsu Cho, SeongKu Kang, Dongmin Hyun, Hwanjo Yu:
Unsupervised Proxy Selection for Session-based Recommender Systems. CoRR abs/2107.03564 (2021) - [i15]Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu:
Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. CoRR abs/2108.06816 (2021) - [i14]Dongha Lee, Su Kim, Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
Learnable Structural Semantic Readout for Graph Classification. CoRR abs/2111.11523 (2021) - [i13]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]Wonbin Kweon, SeongKu Kang, Hwanjo Yu:
Obtaining Calibrated Probabilities with Personalized Ranking Models. CoRR abs/2112.07428 (2021) - 2020
- [j49]Dongha Lee
, Jinoh Oh, Hwanjo Yu:
OCam: Out-of-core coordinate descent algorithm for matrix completion. Inf. Sci. 514: 587-604 (2020) - [j48]Byungju Kim, Dongha Lee
, Jinoh Oh, Hwanjo Yu:
Scalable disk-based topic modeling for memory limited devices. Inf. Sci. 516: 353-369 (2020) - [j47]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]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]Hyunjun Ju, Dongha Lee
, Junyoung Hwang, Junghyun Namkung, Hwanjo Yu:
PUMAD: PU Metric learning for anomaly detection. Inf. Sci. 523: 167-183 (2020) - [j44]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]Dongha Lee
, Xiaoqian Jiang
, Hwanjo Yu:
Harmonized representation learning on dynamic EHR graphs. J. Biomed. Informatics 106: 103426 (2020) - [j42]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]Chanyoung Park, Jiawei Han, Hwanjo Yu:
Deep multiplex graph infomax: Attentive multiplex network embedding using global information. Knowl. Based Syst. 197: 105861 (2020) - [c85]Chanyoung Park, Donghyun Kim
, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. AAAI 2020: 5371-5378 - [c84]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. CIKM 2020: 605-614 - [c83]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]Dongmin Hyun, Junsu Cho, Chanyoung Park, Hwanjo Yu:
Interest Sustainability-Aware Recommender System. ICDM 2020: 192-201 - [c81]Beomjo Shin, Junsu Cho, Hwanjo Yu, Seungjin Choi:
Sparse Network Inversion for Key Instance Detection in Multiple Instance Learning. ICPR 2020: 4083-4090 - [c80]SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Multi-Modal Component Embedding for Fake News Detection. IMCOM 2020: 1-6 - [c79]Sehun Yu, Dongha Lee
, Hwanjo Yu:
Convolutional Neural Networks with Compression Complexity Pooling for Out-of-Distribution Image Detection. IJCAI 2020: 2435-2441 - [c78]Dongha Lee
, Sehun Yu, Hwanjo Yu:
Multi-Class Data Description for Out-of-distribution Detection. KDD 2020: 1362-1370 - [c77]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim
, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. KDD 2020: 1435-1445 - [c76]Wonbin Kweon, SeongKu Kang, Junyoung Hwang, Hwanjo Yu:
Deep Rating Elicitation for New Users in Collaborative Filtering. WWW 2020: 2810-2816 - [i11]Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han:
Unsupervised Differentiable Multi-aspect Network Embedding. CoRR abs/2006.04239 (2020) - [i10]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]SeongKu Kang, Junyoung Hwang, Wonbin Kweon, Hwanjo Yu:
DE-RRD: A Knowledge Distillation Framework for Recommender System. CoRR abs/2012.04357 (2020)
2010 – 2019
- 2019
- [j40]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]Chanyoung Park, Donghyun Kim
, Hwanjo Yu:
An encoder-decoder switch network for purchase prediction. Knowl. Based Syst. 185 (2019) - [j38]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]Chanyoung Park, Donghyun Kim
, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CIKM 2019: 489-498 - [c74]Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CIKM 2019: 619-628 - [c73]SeongKu Kang, Junyoung Hwang, Dongha Lee
, Hwanjo Yu:
Semi-Supervised Learning for Cross-Domain Recommendation to Cold-Start Users. CIKM 2019: 1563-1572 - [c72]Yejin Kim, Kwangseob Kim, Chanyoung Park, Hwanjo Yu:
Sequential and Diverse Recommendation with Long Tail. IJCAI 2019: 2740-2746 - [c71]Dongha Lee
, Chanyoung Park, Hyunjun Ju, Junyoung Hwang, Hwanjo Yu:
Action Space Learning for Heterogeneous User Behavior Prediction. IJCAI 2019: 2830-2836 - [i8]Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu:
Task-Guided Pair Embedding in Heterogeneous Network. CoRR abs/1906.01546 (2019) - [i7]Chanyoung Park, Donghyun Kim, Xing Xie, Hwanjo Yu:
Collaborative Translational Metric Learning. CoRR abs/1906.01637 (2019) - [i6]Chanyoung Park, Donghyun Kim, Jiawei Han, Hwanjo Yu:
Unsupervised Attributed Multiplex Network Embedding. CoRR abs/1911.06750 (2019) - [i5]Seonghyeon Lee, Chanyoung Park, Hwanjo Yu:
BHIN2vec: Balancing the Type of Relation in Heterogeneous Information Network. CoRR abs/1912.08925 (2019) - 2018
- [c70]Dongha Lee
, Jinoh Oh, Christos Faloutsos, Byungju Kim, Hwanjo Yu:
Disk-based Matrix Completion for Memory Limited Devices. CIKM 2018: 1093-1102 - [c69]Seonghan Ryu, Sangjun Koo, Hwanjo Yu, Gary Geunbae Lee:
Out-of-domain Detection based on Generative Adversarial Network. EMNLP 2018: 714-718 - [c68]Chanyoung Park, Donghyun Kim
, Xing Xie
, Hwanjo Yu:
Collaborative Translational Metric Learning. ICDM 2018: 367-376 - [c67]Dongha Lee
, Jaehyung Lee, Hwanjo Yu:
Fast Tucker Factorization for Large-Scale Tensor Completion. ICDM 2018: 1098-1103 - [c66]Hyunjun Ju, Hwanjo Yu:
Sentiment Classification with Convolutional Neural Network using Multiple Word Representations. IMCOM 2018: 9:1-9:7 - [c65]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]Gyoung S. Na, Donghyun Kim
, Hwanjo Yu:
DILOF: Effective and Memory Efficient Local Outlier Detection in Data Streams. KDD 2018: 1993-2002 - [c63]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 - [r4]Hwanjo Yu:
Bootstrap. Encyclopedia of Database Systems (2nd ed.) 2018 - [r3]Hwanjo Yu:
Support Vector Machine. Encyclopedia of Database Systems (2nd ed.) 2018 - [i4]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]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]Yoojin Park, Jinoh Oh, Hwanjo Yu:
RecTime: Real-Time recommender system for online broadcasting. Inf. Sci. 409: 1-16 (2017) - [j35]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]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]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]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 - [c61]Yejin Kim, Jingyun Choi, Yosep Chong, Xiaoqian Jiang, Hwanjo Yu:
DiagTree: Diagnostic Tree for Differential Diagnosis. CIKM 2017: 1179-1188 - [c60]Sangdo Han, Soonchoul Kwon, Hwanjo Yu, Gary Geunbae Lee:
Answer ranking based on named entity types for question answering. IMCOM 2017: 71 - [c59]Seonghan Ryu, Hwanjo Yu, Gary Geunbae Lee:
Two-stage approach to named entity recognition using Wikipedia and DBpedia. IMCOM 2017: 73 - [c58]Yejin Kim, Jimeng Sun
, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. KDD 2017: 887-895 - [c57]Jinoh Oh, Kijung Shin, Evangelos E. Papalexakis
, Christos Faloutsos, Hwanjo Yu:
S-HOT: Scalable High-Order Tucker Decomposition. WSDM 2017: 761-770 - [c56]Chanyoung Park, Donghyun Kim
, Jinoh Oh, Hwanjo Yu:
Do "Also-Viewed" Products Help User Rating Prediction? WWW 2017: 1113-1122 - [i3]Yejin Kim, Jimeng Sun, Hwanjo Yu, Xiaoqian Jiang:
Federated Tensor Factorization for Computational Phenotyping. CoRR abs/1704.03141 (2017) - [i2]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]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]Sungho Jeon, Sungchul Kim, Hwanjo Yu
:
Spoiler detection in TV program tweets. Inf. Sci. 329: 220-235 (2016) - [j30]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]Dongha Lee
, Jinoh Oh, Woong-Kee Loh, Hwanjo Yu:
GeoVideoIndex: Indexing for georeferenced videos. Inf. Sci. 374: 210-223 (2016) - [j28]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]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]Muhammad Humayoun, Hwanjo Yu:
Analyzing Pre-processing Settings for Urdu Single-document Extractive Summarization. LREC 2016 - [c53]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]Donghyun Kim
, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu:
Convolutional Matrix Factorization for Document Context-Aware Recommendation. RecSys 2016: 233-240 - [c51]Chanyoung Park, Donghyun Kim
, Jinoh Oh, Hwanjo Yu:
TRecSo: Enhancing Top-k Recommendation With Social Information. WWW (Companion Volume) 2016: 89-90 - [i1]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]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]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]Woong-Kee Loh, Hwanjo Yu:
Fast density-based clustering through dataset partition using graphics processing units. Inf. Sci. 308: 94-112 (2015) - [j24]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]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]Jinoh Oh, Wook-Shin Han, Hwanjo Yu, Xiaoqian Jiang:
Fast and Robust Parallel SGD Matrix Factorization. KDD 2015: 865-874 - [c48]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]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]Youngdae Kim, Ilhwan Ko, Wook-Shin Han, Hwanjo Yu:
iKernel: Exact indexing for support vector machines. Inf. Sci. 257: 32-53 (2014) - [j21]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]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]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]Youngwoo Kim
, Jinha Kim, Hwanjo Yu:
GeoTree: Using spatial information for georeferenced video search. Knowl. Based Syst. 61: 1-12 (2014) - [j17]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]Sungchul Kim, Lee Sael
, Hwanjo Yu:
Identifying Cancer Subtypes based on Somatic Mutation Profile. DTMBIO@CIKM 2014: 19-22 - [c46]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]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]Sungchul Kim, Lee Sael, Hwanjo Yu:
Efficient protein structure search using indexing methods. BMC Medical Informatics Decis. Mak. 13(S-1): S8 (2013) - [c45]Sungchul Kim, Lee Sael, Hwanjo Yu:
Efficient local ligand-binding site search using landmark mds. DTMBIO 2013: 13-14 - [c44]Min Song, Wook-Shin Han, Hwanjo Yu:
BoDBES: a boosted dictionary-based biomedical entity spotter. DTMBIO 2013: 21-22 - [c43]Jinha Kim, Seung-Keol Kim, Hwanjo Yu:
Scalable and parallelizable processing of influence maximization for large-scale social networks? ICDE 2013: 266-277 - [c42]Sungchul Kim, Lee Sael
, Hwanjo Yu:
Fast protein 3D surface search. ICUIMC 2013: 73 - [c41]Sungho Jeon, Sungchul Kim, Hwanjo Yu:
Don't Be Spoiled by Your Friends: Spoiler Detection in TV Program Tweets. ICWSM 2013 - [c40]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]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]Sungchul Kim, Kristina Toutanova, Hwanjo Yu:
Multilingual Named Entity Recognition using Parallel Data and Metadata from Wikipedia. ACL (1) 2012: 694-702 - [c38]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]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]Sungchul Kim, Lee Sael
, Hwanjo Yu:
Indexing methods for efficient protein 3D surface search. DTMBIO@CIKM 2012: 41-48 - [c35]Jinoh Oh, Hwanjo Yu:
iSampling: framework for developing sampling methods considering user's interest. CIKM 2012: 1667-1671 - [c34]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 - [c33]Wonyeol Lee
, Jinha Kim, Hwanjo Yu:
CT-IC: Continuously Activated and Time-Restricted Independent Cascade Model for Viral Marketing. ICDM 2012: 960-965 - [c32]Youngwoo Kim
, Jinha Kim, Hwanjo Yu:
GeoSearch: georeferenced video retrieval system. KDD 2012: 1540-1543 - [c31]Jinoh Oh, Taehoon Kim, Sun Park, Hwanjo Yu:
PubMed search and exploration with real-time semantic network construction. KDD 2012: 1572-1575 - [p1]Hwanjo Yu, Sungchul Kim:
SVM Tutorial - Classification, Regression and Ranking. Handbook of Natural Computing 2012: 479-506 - [e2]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
- [j13]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]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]Hwanjo Yu:
Selective sampling techniques for feedback-based data retrieval. Data Min. Knowl. Discov. 22(1-2): 1-30 (2011) - [j10]Ngo Anh Vien, Hwanjo Yu, TaeChoong Chung:
Hessian matrix distribution for Bayesian policy gradient reinforcement learning. Inf. Sci. 181(9): 1671-1685 (2011) - [c30]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]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]Jinoh Oh, Sun Park, Hwanjo Yu, Min Song
, Seung-Taek Park:
Novel Recommendation Based on Personal Popularity Tendency. ICDM 2011: 507-516 - [c27]Byoungyoung Lee, Jinoh Oh, Hwanjo Yu, Jong Kim:
Protecting location privacy using location semantics. KDD 2011: 1289-1297 - [c26]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]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]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]Hwanjo Yu, Sungchul Kim, Seung-Hoon Na
:
RankSVR: can preference data help regression? CIKM 2010: 879-888 - [c23]Wook-Shin Han, Wooseong Kwak, Hwanjo Yu:
On supporting effective web extraction. ICDE 2010: 773-775 - [c22]Hwanjo Yu, Sungchul Kim:
Passive Sampling for Regression. ICDM 2010: 1151-1156 - [e1]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
- 2009
- [c21]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 - [c20]Hwanjo Yu, Jinoh Oh, Wook-Shin Han:
Efficient feature weighting methods for ranking. CIKM 2009: 1157-1166 - [c19]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]Hwanjo Yu, Taehoon Kim, Jinoh Oh, Ilhwan Ko, Sungchul Kim:
RefMed: relevance feedback retrieval system fo PubMed. CIKM 2009: 2099-2100 - [c17]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 - [c16]Hwanjo Yu, Youngdae Kim, Seung-won Hwang:
RV-SVM: An Efficient Method for Learning Ranking SVM. PAKDD 2009: 426-438 - [r2]Hwanjo Yu:
Bootstrap. Encyclopedia of Database Systems 2009: 263-264 - [r1]Hwanjo Yu:
Support Vector Machine. Encyclopedia of Database Systems 2009: 2890-2892 - 2008
- [j8]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]Gae-won You, Seung-won Hwang, Hwanjo Yu:
Supporting personalized ranking over categorical attributes. Inf. Sci. 178(18): 3510-3524 (2008) - [j6]Jaideep Vaidya, Hwanjo Yu, Xiaoqian Jiang:
Privacy-preserving SVM classification. Knowl. Inf. Syst. 14(2): 161-178 (2008) - [j5]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
- [j4]Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang:
Enabling soft queries for data retrieval. Inf. Syst. 32(4): 560-574 (2007) - [c15]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 - [c14]Seung-won Hwang, Hwanjo Yu:
Mining and processing category ranking. SAC 2007: 441-442 - 2006
- [c13]Hwanjo Yu, Jaideep Vaidya, Xiaoqian Jiang:
Privacy-Preserving SVM Classification on Vertically Partitioned Data. PAKDD 2006: 647-656 - [c12]Hwanjo Yu, Xiaoqian Jiang, Jaideep Vaidya:
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data. SAC 2006: 603-610 - 2005
- [j3]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) - [j2]Hwanjo Yu:
Single-Class Classification with Mapping Convergence. Mach. Learn. 61(1-3): 49-69 (2005) - [c11]Hwanjo Yu, Seung-won Hwang, Kevin Chen-Chuan Chang:
Enabling Ad-hoc Ranking for Data Retrieval. ICDE 2005: 514-515 - [c10]Hwanjo Yu:
SVM selective sampling for ranking with application to data retrieval. KDD 2005: 354-363 - [c9]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]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]Hwanjo Yu, Duane Searsmith, Xiaolei Li, Jiawei Han:
Scalable Construction of Topic Directory with Nonparametric Closed Termset Mining. ICDM 2004: 563-566 - 2003
- [c7]Hwanjo Yu, ChengXiang Zhai, Jiawei Han:
Text classification from positive and unlabeled documents. CIKM 2003: 232-239 - [c6]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]Hwanjo Yu:
General MC: Estimating Boundary of Positive Class from Small Positive Data. ICDM 2003: 693-696 - [c4]Hwanjo Yu:
SVMC: Single-Class Classification With Support Vector Machines. IJCAI 2003: 567-574 - [c3]Hwanjo Yu, Jiong Yang, Jiawei Han:
Classifying large data sets using SVMs with hierarchical clusters. KDD 2003: 306-315 - 2002
- [c2]Hwanjo Yu, Kevin Chen-Chuan Chang, Jiawei Han:
Heterogeneous Learner for Web Page Classification. ICDM 2002: 538-545 - [c1]Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang:
PEBL: positive example based learning for Web page classification using SVM. KDD 2002: 239-248
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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