A robust peak detection method for RNA structure inference by high-throughput contact mapping. - Jinkyu Kim; Seunghak Yu; Byonghyo Shim; Hanjoo Kim; Hyeyoung Min; Eui-Young Chung; Rhiju Das; Sungroh Yoon (Bioinform., 2009)

Ensemble learning for robust prediction of microRNA-mRNA interactions. - Seunghak Yu; Juho Kim; Hyeyoung Min; Sungroh Yoon (BigComp, 2014)

Ensemble algorithms for DNA motif finding. - Juho Kim; Seunghak Yu; Sungroh Yoon (ICEIC, 2014)

Design of a bitmap-based QoS-aware memory controller for a packet memory. - Seunghak Yu; Sungroh Yoon; Eui-Young Chung; Hyuk-Jun Lee (IEICE Electron. Express, 2014)

Deep Reinforcement Learning for Multi-Domain Dialogue Systems. - Heriberto Cuayáhuitl; Seunghak Yu; Ashley Williamson; Jacob Carse (CoRR, 2016)

Syllable-level Neural Language Model for Agglutinative Language. - Seunghak Yu; Nilesh Kulkarni; Haejun Lee; Jihie Kim (SWCN@EMNLP, 2017)

Scaling up deep reinforcement learning for multi-domain dialogue systems. - Heriberto Cuayáhuitl; Seunghak Yu; Ashley Williamson; Jacob Carse (IJCNN, 2017)

Deep Reinforcement Learning of Dialogue Policies with Less Weight Updates. - Heriberto Cuayáhuitl; Seunghak Yu (INTERSPEECH, 2017)

An Embedded Deep Learning based Word Prediction. - Seunghak Yu; Nilesh Kulkarni; Haejun Lee; Jihie Kim (CoRR, 2017)

A Multi-Stage Memory Augmented Neural Network for Machine Reading Comprehension. - Seunghak Yu; Sathish Reddy Indurthi; Seohyun Back; Haejun Lee (QA@ACL, 2018)

On-Device Neural Language Model Based Word Prediction. - Seunghak Yu; Nilesh Kulkarni; Haejun Lee; Jihie Kim (COLING (Demos), 2018)

MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. - Seohyun Back; Seunghak Yu; Sathish Reddy Indurthi; Jihie Kim; Jaegul Choo (EMNLP, 2018)

Supervised Clustering of Questions into Intents for Dialog System Applications. - Iryna Haponchyk; Antonio Uva 001; Seunghak Yu; Olga Uryupina; Alessandro Moschitti (EMNLP, 2018)

Cut to the Chase: A Context Zoom-in Network for Reading Comprehension. - Sathish Reddy Indurthi; Seunghak Yu; Seohyun Back; Heriberto Cuayáhuitl (EMNLP, 2018)

Factor Graph Attention. - Idan Schwartz; Seunghak Yu; Tamir Hazan; Alexander G. Schwing (CVPR, 2019)

Fine-Grained Analysis of Propaganda in News Article. - Giovanni Da San Martino; Seunghak Yu; Alberto Barrón-Cedeño; Rostislav Petrov; Preslav Nakov (EMNLP/IJCNLP (1), 2019)

Fine-Grained Analysis of Propaganda in News Articles. - Giovanni Da San Martino; Seunghak Yu; Alberto Barrón-Cedeño; Rostislav Petrov; Preslav Nakov (CoRR, 2019)

Experiments in Detecting Persuasion Techniques in the News. - Seunghak Yu; Giovanni Da San Martino; Preslav Nakov (CoRR, 2019)

Ensemble-based deep reinforcement learning for chatbots. - Heriberto Cuayáhuitl; Donghyeon Lee; Seonghan Ryu; Yongjin Cho; Sungja Choi; Satish Reddy Indurthi; Seunghak Yu; Hyungtak Choi; Inchul Hwang; Jihie Kim (Neurocomputing, 2019)

Prta: A System to Support the Analysis of Propaganda Techniques in the News. - Giovanni Da San Martino; Shaden Shaar; Yifan Zhang; Seunghak Yu; Alberto Barrón-Cedeño; Preslav Nakov (ACL (demo), 2020)

A Survey on Computational Propaganda Detection. - Giovanni Da San Martino; Stefano Cresci; Alberto Barrón-Cedeño; Seunghak Yu; Roberto Di Pietro; Preslav Nakov (IJCAI, 2020)

Constructing a Knowledge Graph from Unstructured Documents without External Alignment. - Seunghak Yu; Tianxing He; James R. Glass (CoRR, 2020)

Interpretable Propaganda Detection in News Articles. - Seunghak Yu; Giovanni Da San Martino; Mitra Mohtarami; James R. Glass; Preslav Nakov (RANLP, 2021)

Cooperative Learning of Zero-Shot Machine Reading Comprehension. - Hongyin Luo; Shang-Wen Li 001; Seunghak Yu; James R. Glass (CoRR, 2021)

Cooperative Self-training of Machine Reading Comprehension. - Hongyin Luo; Shang-Wen Li 001; Mingye Gao; Seunghak Yu; James R. Glass (NAACL-HLT, 2022)

Large-scale Lifelong Learning of In-context Instructions and How to Tackle It. - Jisoo Mok; Jaeyoung Do; Sungjin Lee; Tara Taghavi; Seunghak Yu; Sungroh Yoon (ACL (1), 2023)

Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space. - Siwon Kim; Jinoh Oh; Sungjin Lee; Seunghak Yu; Jaeyoung Do; Tara Taghavi (CVPR, 2023)

Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency. - Jungbeom Lee; Sungjin Lee; Jinseok Nam; Seunghak Yu; Jaeyoung Do; Tara Taghavi (ICCV, 2023)