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2020 – today
- 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, Dong Hyun 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]Dong Hyun 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, Dong Hyun 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, Dong Hyun 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, Dong Hyun 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]Dong Hyun Kim, Chanyoung Park, Jinoh Oh, Sungyoung Lee, Hwanjo Yu:
Convolutional Matrix Factorization for Document Context-Aware Recommendation. RecSys 2016: 233-240 - [c51]Chanyoung Park, Dong Hyun 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]