Jihie Kim (김지희)

Research Interests

Artificial Intelligence, Machine Learning, Text Mining, and Human-Computer Interaction.   

Education

University of Southern California

Doctor of Philosophy, Computer Science

Machine Learning (Advisor - Paul Rosenbloom)

Seoul National University

Master's degrees, Computer Science (Artificial Intelligence, Knowledge Based Systems)

Seoul National University

Bechelor's degree, Computer Science and Statistics (Cum Laude)

Experience

AAAI (Association for the Advancement of Artificial Intelligence) Councilor (2022~2025)

Full Professor, Sep. 2019 – Present

Dongguk University, Jung-gu, Seoul, Korea

Vice President, 2014 - Aug. 2019

Samsung Electronics, Seocho-gu, Seoul, Korea

Senior Vice President, 2013 - 2014

KT, Seocho-gu, Seoul, Korea

Research Assistant Professor, 2002 - 2013

Computer Science Department, University of Southern California

941 Bloom Walk, Los Angeles, USA

Principal Investigator (PI for 6 NSF projects), 1996 - 2013

USC/Information Sciences Institute, 4676 Admiralty Way, Marina del Rey, USA

Courses

SCS4037  Machine Learning and Deep Learning

SCS4033  Introduction to Artificial Intelligence (Undergraduate)

AIX-7039  Deep Learning

AIX-7037  Introduction to Artificial Intelligence (Graduate)

AIX-7023  Natural Language Processing with Deep Learning

Publication 

  2025

• Suchae Jung, Inseong Choi, Youngsik Yun, and Jihie Kim. "Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinement" The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL (NAACL). 2025.   [2502.16902] Culture-TRIP: Culturally-Aware Text-to-Image Generation with Iterative Prompt Refinment  

• Tze Ho Elden Tse, Runyang Feng, Linfang Zheng, Jiho Park, Yixing Gao, Jihie Kim, Ales Leonardis, and Hyung Jin Chang. "Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos using Superquadrics" The 39th Annual AAAI Conference on Artificial Intelligence (AAAI). 2025. [2501.07100] Collaborative Learning for 3D Hand-Object Reconstruction and Compositional Action Recognition from Egocentric RGB Videos Using Superquadrics  

  2024

• Zhixuan Liu, Peter Schaldenbrand, Beverley-Claire Okogwu, Wenxuan Peng, Youngsik Yun, Andrew Hunt, Jihie Kim, and Jean Oh, "SCoFT: Self-Contrastive Fine-Tuning for Equitable Image Generation", Proceedings of the IEEE/CVF International Conference on Computer Vision, 2024, https://arxiv.org/pdf/2401.08053  (CVPR 2024). 

• Youngsik Yun, Jihie Kim, "CIC: A framework for Culturally-aware Image Captioning", Proceedings of the International Joint Conference on Artificial Intelligence, 2024, https://arxiv.org/abs/2402.05374  (IJCAI 2024) 

• Sungmin Kang, Jeaha Song, and Jihie Kim. "Advancing Medical Image Segmentation: Morphology-Driven Learning with Diffusion Transformer", British Machine Vision Conference (BMVC 2024) 

• Yanggyu Lee, Suchae Jeong and Jihie Kim,  "Identifying Logical Errors in Novice Programmers’ Codes using LLM", Proceedings of the 20th International Conference on Intelligent Tutoring Systems (Best Paper Award). https://arxiv.org/pdf/2404.19336 (ITS 2024)

• Yanggyu Lee, and Jihie Kim. "Evaluating Consistencies in LLM Responses through a Semantic Clustering of Question Answering" International Joint Conference of Artificial Intelligence (IJCAI) 2024 Workshop on The Trustworthy AI Workshop.

• Chongmin Lee, and Jihie Kim. "Biomarker based Cancer Classification using an Ensemble with Pre-trained Models" International Joint Conference of Artificial Intelligence (IJCAI) 2024 Workshop on The 4th AI for Ageless Aging Workshop. (Best Poster Awards)

   2023

• Youeun Shin, Zhixuan Liu, Beverley-Claire Okogwu, Youngsik Yun, Peter Schaldenbrand, Jihie Kim, Jean Oh, "Culturally-Aware Stable Diffusion: Supporting Representation with Culturally-Aware Text-to-Image Synthesis", AAAI Conference on Artificial Intelligence (AAAI) 2023 Workshop on Creative AI Across Modalities.

• Hojun Lee, Yunji Kim, Youngsik Yun, Jin-Hyeok Hwang, Jihie Kim, "Age In Data Guessing You: Using Facial Image and Biomarker Dataset for Age Estimation with Gender and Race based Clustering", 7th International Workshop on Health Intelligence(AAAI-23 workshop hackathon) 

• Anita Raja, Alisa Leshchenko*, Jihie Kim, “Leveraging Conflict to Bridge Cognitive Reasoning and Generative Algorithms", Proceedings of the 2023 AAAI Fall Symposium on Integrating Cognitive Architectures and Generative Models. Arlington, VA, USA, AAAI Press. 

• Kyung-yeul Kim, Yaung-by Yang, Mi-ra Kim, Ji Su Park, Jihie Kim, "MBTI personality type prediction model using WZT analysis based on CNN ensemble and GAN", HUMAN-CENTRIC COMPUTING AND INFORMATION SCIENCES 13 (2023): DOI: https://doi.org/10.22967/HCIS.2023.13.014. 

• Minjeong Kim,Yujung Gil, Yuyeon Kim, Jihie Kim, "Deep-Learning-Based Scalp Image Analysis Using Limited Data", Electronics 12.6 (2023): 8. DOI: 10.3390/electronics12061380 

• Gawon Lee, Jihie Kim, "MTGEA: A Multimodal Two-Stream GNN Framework for Efficient Point Cloud and Skeleton Data Alignment", Sensors 23.5 (2023): 8. DOI: 10.3390/s23052787 

• Seunguook Lim, Jihie Kim, "SAPBERT: Speaker-Aware Pretrained BERT for Emotion Recognition in Conversation", Algorithms 16.1 (2022): 8. DOI: 10.3390/a16010008 

   2022

• Junghun Kim, Yoojin An and Jihie Kim, "Improving Speech Emotion Recognition Through Focus and Calibration Attention Mechanisms", Interspeech 2022 

•  Jinyeong Chae and Jihie Kim, "Uncertainty-based Visual Question Answering: Estimating Semantic Inconsistency between Image and Knowledge Base", 2022 International Joint Conference on Neural Networks 

• Junghun Kim and Jihie Kim, "CMSBERT-CLR: Context-driven Modality Shifting BERT with Contrastive Learning for linguistic, visual, acoustic Representations", 2022 International Joint Conference on Neural Networks 

• Junghun Kim, Jihie Kim, "Representation Learning with Graph Neural Networks for Speech Emotion Recognition", AAAI Workshop on Graphs and More Complex Structures for Learning and Reasoning 2022 

• Hojun Lee, Hyunjun Cho, Jieun Park, Jinyeong Chae and Jihie Kim, "Cross Encoder-Decoder Transformer with Global-Local Visual Extractor for Medical Image Captioning", Sensors, 22(4), (2022), 1429. DOI: 10.3390/s22041429 

• Gawon Lee and Jihie Kim, "Improving Human Activity Recognition for Sparse Radar Point Clouds: A Graph Neural Network Model with Pre-Trained 3D Human-Joint Coordinates", Applied Sciences, 12(4), (2022), 2168. DOI: 10.3390/app12042168 

• Jiho Park, Jaejun Yang, Sehan Park, Jihie Kim, "Deep Learning-Based Approaches for Classifying Foraminal Stenosis Using Cervical Spine Radiographs", Electronics 12.1 (2022): 195. DOI: 10.3390/electronics12010195 

• Yoojin An, Sangyeon Kim, Yuxuan Liang, Roger Zimmermann, Dongho Kim and Jihie Kim. 2022. ""Content-Attribute Disentanglement for Generalized Zero-Shot Learning", IEEE Access 

   2021

• Jinyeong Chae, Kiyong Hong, Jihie Kim, "A Pressure Ulcer Care System For Remote Medical Assistance: Residual U-Net with an Attention Model-Based for Wound Area Segmentation", AAAI Conference on Artificial Intelligence (AAAI) 2021 Workshop

• Jinyeong Chae, Roger Zimmermann, Dongho Kim, and Jihie Kim, "Attentive Transfer Learning via Self-supervisedLearning for Cervical Dysplasia Diagnosis", Journal of Information Processing Systems, 17, 3, (2021), 453-461. DOI: 10.3745/JIPS.04.0214 

• Jinyeong Chae, Ying Zhang, Roger Zimmermann, Dongho Kim, and Jihie Kim, "An Attention-based Deep Learning Model with Interpretable Patch-Weight Sharing for Diagnosing Cervical Dysplasia", Intelligent Systems Conference (IntelliSys) 2021 

   2020

• Sangyeon Kim, Gawon Lee, and Jihie Kim, "Lightweight Real-time Fall Detection using Bidirectional Recurrent Neural Network", 2020 Joint 11th International Conference on Soft Computing and Intelligent Systems (SCIS) and 20th International Symposium on Advanced Intelligent Systems (ISIS), Tokyo, Japan, 2020, pp. 279-283 

• [KSC2020 BEST PAPER] Seunguook Lim, Jihie Kim, "RNN model for Emotion Recognition in Dialogue by incorporating the Attention on the Other’s State" ,The Korean Institute of Information Scientists and Engineers, 2020, pp. 394-39 

   2019

• Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim: Ensemble-based deep reinforcement learning for chatbots. Neurocomputing 366: 118-130 (2019)

• Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, Jihie Kim: Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. IJCNN 2019: 1-8

• Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Sungja Choi, Inchul Hwang, Jihie Kim: Deep Reinforcement Learning for Chatbots Using Clustered Actions and Human-Likeness Rewards. CoRR abs/1908.10331 (2019)

• Heriberto Cuayáhuitl, Donghyeon Lee, Seonghan Ryu, Yongjin Cho, Sungja Choi, Satish Reddy Indurthi, Seunghak Yu, Hyungtak Choi, Inchul Hwang, Jihie Kim: Ensemble-Based Deep Reinforcement Learning for Chatbots. CoRR abs/1908.10422 (2019)

     2018

• Inchul Hwang, Heesik Jeon, Hyung Rai Oh, Donghyeon Lee, Munjo Kim, Jihie Kim: Chatti: A Conversational Chatbot Platform. AAAI Workshops 2018: 145-148

• Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim: On-Device Neural Language Model Based Word Prediction. COLING (Demos) 2018: 128-131

• Seohyun Back, Seunghak Yu, Sathish Reddy Indurthi, Jihie Kim, Jaegul Choo: MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller. EMNLP 2018: 2131-2140

• Hyungtak Choi, Siddarth K. M., Haehun Yang, Heesik Jeon, Inchul Hwang, Jihie Kim: Self-Learning Architecture for Natural Language Generation. INLG 2018: 165-170

• Heriberto Cuayáhuitl, Seonghan Ryu, Donghyeon Lee, Jihie Kim: A Study on Dialogue Reward Prediction for Open-Ended Conversational Agents. CoRR abs/1812.00350 (2018)

     2017

• Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim: Syllable-level Neural Language Model for Agglutinative Language. SWCN@EMNLP 2017: 92-96

• Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim: An Embedded Deep Learning based Word Prediction. CoRR abs/1707.01662 (2017)

• Seunghak Yu, Nilesh Kulkarni, Haejun Lee, Jihie Kim: Syllable-level Neural Language Model for Agglutinative Language. CoRR abs/1708.05515 (2017)

     2016

• Heesik Jeon, Hyung Rai Oh, Inchul Hwang, Jihie Kim: An Intelligent Dialogue Agent for the IoT Home. AAAI Workshop: Artificial Intelligence Applied to Assistive Technologies and Smart Environments 2016 

• Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim: Personalized Adaptive Learning using Neural Networks. L@S 2016: 165-168

2015

• Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim: Predicting Student Attrition in MOOCs using Sentiment Analysis and Neural Networks. AIED Workshops 2015

• Devendra Singh Chaplot, Eunhee Rhim, Jihie Kim: SAP: Student Attrition Predictor. EDM 2015: 635-636

2014

• Rohit Kumar, Jihie Kim: Special Issue on Intelligent Support for Learning in Groups. Int. J. Artif. Intell. Educ. 24(1): 1-7 (2014)

• Jae-Bong Yoo, Jihie Kim: Can Online Discussion Participation Predict Group Project Performance? Investigating the Roles of Linguistic Features and Participation Patterns. Int. J. Artif. Intell. Educ. 24(1): 8-32 (2014)

• Jihie Kim, Erin Shaw: Scaffolding student online discussions using past discussions: PedaBot studies. Artif. Intell. Rev. 41(1): 97-112 (2014)

• Jihie Kim, Jeon-Hyung Kang: Towards identifying unresolved discussions in student online forums. Appl. Intell. 40(4): 601-612 (2014)

• Jae-Bong Yoo, Jihie Kim: Capturing Difficulty Expressions in Student Online Q&A Discussions. AAAI 2014: 208-214

2013

• Yu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu: Analysis of Emotion and Engagement in a STEM Alternate Reality Game. AIED 2013: 657-660

• Yu-Han Chang, Rajiv T. Maheswaran, Jihie Kim, Linwei Zhu: Analysis of Emotion and Engagement in a STEM Alternate Reality Game. AIED Workshops 2013

• Shitian Shen, Jihie Kim: Modeling the Process of Online Q&A Discussions Using a Dialogue State Model. AIED 2013: 674-678

• Jihie Kim, Rohit Kumar: 2nd Workshop on Intelligent Support for Learning in Groups. AIED 2013: 944

• Shitian Shen, Jihie Kim: Modeling the Process of Online Q&A Discussions using a Dialogue State Model. AIED Workshops 2013

• Shitian Shen, Jihie Kim, Jae-Bong Yoo: Reciprocity in Student Online Discussions. CSCL (2) 2013: 157-160

• Sen Liu, Jihie Kim, Sofus A. Macskassy: Predicting Group Programming Project Performance using SVN Activity Traces. EDM 2013: 330-331

• Jihie Kim, Kwangyong Lim, Youngjung Uh, Seunggyu Kim, Yeongwoo Choi, Hyeran Byun: Real-time Korean traffic sign detection and recognition. ICUIMC 2013: 19

• Jihie Kim, Seunggyu Kim, Kwangyong Lim, Yeongwoo Choi, Hyeran Byun: Real-time traffic sign detection with vehicle camera images. ICUIMC 2013: 20

• Jihie Kim, Jae-Bong Yoo, Ho Lim, Huida Qiu, Zornitsa Kozareva, Aram Galstyan: Sentiment Prediction Using Collaborative Filtering. ICWSM 2013

• Mahdy Khayyamian, Jihie Kim: An intelligent web-based interface for programming content detection in q&a forums. IUI Companion 2013: 67-68

• Mahdy Khayyamian, Jihie Kim: Capturing programming content in online discussions. K-CAP 2013: 57-64

• Jihie Kim, Jeffrey Nichols, Pedro A. Szekely: 18th International Conference on Intelligent User Interfaces, IUI 2013, Santa Monica, CA, USA, March 19-22, 2013. ACM 2013, ISBN 978-1-4503-1965-2 [contents]

• Jihie Kim, Jeffrey Nichols, Pedro A. Szekely: 18th International Conference on Intelligent User Interfaces, IUI '13, Santa Monica, CA, USA, March 19-22, 2013, Companion Volume. ACM 2013, ISBN 978-1-4503-1966-9 [contents]

2012

• Jihie Kim, Erin Shaw, Hao Xu, Adarsh G. V.: Assisting Instructor Assessment of Undergraduate Collaborative Wiki and SVN Activities. EDM 2012: 10-16

• Jae-Bong Yoo, Jihie Kim: Predicting Learner's Project Performance with Dialogue Features in Online Q&A Discussions. ITS 2012: 570-575

• Jun Park, Jihie Kim: Classifying Topics of Video Lecture Contents Using Speech Recognition Technology. ITS 2012: 694-695

• Jihie Kim, Yu-Han Chang, Sen Cai, Siddharth Jain: PedConnect: an intelligent assistant for teacher social networking. IUI 2012: 71-74

• Jihie Kim, Jae-Bong Yoo: Role of Sentiment in Message Propagation: Reply vs. Retweet Behavior in Political Communication. SocialInformatics 2012: 131-136

2011

• Yolanda Gil, Varun Ratnakar, Jihie Kim, Pedro A. González-Calero, Paul Groth, Joshua Moody, Ewa Deelman: Wings: Intelligent Workflow-Based Design of Computational Experiments. IEEE Intell. Syst. 26(1): 62-72 (2011)

• Kyung Dong Ryu, Kang-Won Lee, Jihie Kim: Preface for KOCSEA Special Issue. J. Comput. Sci. Eng. 5(1): 32 (2011)

• Yolanda Gil, Pedro A. González-Calero, Jihie Kim, Joshua Moody, Varun Ratnakar: A semantic framework for automatic generation of computational workflows using distributed data and component catalogues. J. Exp. Theor. Artif. Intell. 23(4): 389-467 (2011)

• Jun Ma, Jeon-Hyung Kang, Erin Shaw, Jihie Kim: Workflow-Based Assessment of Student Online Activities with Topic and Dialogue Role Classification. AIED 2011: 187-195

• Chitrabharathi Ganapathy, Jeon-Hyung Kang, Erin Shaw, Jihie Kim: Classification Techniques for Assessing Student Collaboration in Shared Wiki Spaces. AIED 2011: 456-458

• Jihie Kim, Yu-Han Chang, Sen Cai, Saurabh Dhupar: Modeling Mentoring Dialogue within a Teacher Social Networking Site. AIED 2011: 487-490

• Soo Won Seo, Jeon-Hyung Kang, Joanna Drummond, Jihie Kim: Using Graphical Models to Classify Dialogue Transition in Online Q&A Discussions. AIED 2011: 550-553

• Jeon-Hyung Kang, Jihie Kim: Analyzing Answers in Threaded Discussions Using a Role-Based Information Network. SocialCom/PASSAT 2011: 111-117

• Jihie Kim, Karen L. Myers, Melinda T. Gervasio, Yolanda Gil: Goal-Directed Metacontrol for Integrated Procedure Learning. Metareasoning 2011: 77-100

• Jeon-Hyung Kang, Jihie Kim: Analyzing Answers in Threaded Discussions using a Role-Based Information Network. CoRR abs/1110.4844 (2011)

2010

• Vijay S. Kumar, Tahsin M. Kurç, Varun Ratnakar, Jihie Kim, Gaurang Mehta, Karan Vahi, Yoon-Ju Lee Nelson, P. Sadayappan, Ewa Deelman, Yolanda Gil, Mary W. Hall, Joel H. Saltz: Parameterized specification, configuration and execution of data-intensive scientific workflows. Clust. Comput. 13(3): 315-333 (2010)

• Jihie Kim, Yolanda Gil, Marc Spraragen: Principles for interactive acquisition and validation of workflows. J. Exp. Theor. Artif. Intell. 22(2): 103-134 (2010)

• Jun Ma, Erin Shaw, Jihie Kim: Computational Workflows for Assessing Student Learning. Intelligent Tutoring Systems (2) 2010: 188-197

• Jeon-Hyung Kang, Jihie Kim, Erin Shaw: A Network Analysis of Student Groups in Threaded Discussions. Intelligent Tutoring Systems (2) 2010: 359-361

• Jae-Bong Yoo, Jihie Kim, Chan-Young Park: Road Reservation for Fast and Safe Emergency Vehicle Response Using Ubiquitous Sensor Network. SUTC/UMC 2010: 353-358

2009

• Jihie Kim, Taehwan Kim, Jia Li: Identifying Unresolved Issues in Online Student Discussions: A Multi-Phase Dialogue Classification Approach. AIED 2009: 704-706

• Erin Shaw, Jihie Kim, Pachara Supanakoon: MentorMatch: Using student mentors to scaffold participation and learning within an online discussion board. AIED 2009: 710-712

• Vijay S. Kumar, P. Sadayappan, Gaurang Mehta, Karan Vahi, Ewa Deelman, Varun Ratnakar, Jihie Kim, Yolanda Gil, Mary W. Hall, Tahsin M. Kurç, Joel H. Saltz: An integrated framework for performance-based optimization of scientific workflows. HPDC 2009: 177-186

• Jihie Kim, Erin Shaw: Pedagogical Discourse: Connecting Students to Past Discussions and Peer Mentors within an Online Discussion Board. IAAI 2009

• Yolanda Gil, Jihie Kim, Gonzalo Flórez Puga, Varun Ratnakar, Pedro A. González-Calero: Workflow matching using semantic metadata. K-CAP 2009: 121-128

• Jihie Kim, Jia Li, Taehwan Kim: Identifying student online discussions with unanswered questions. K-CAP 2009: 195-196

2008

• Luc Moreau, Bertram Ludäscher, Ilkay Altintas, Roger S. Barga, Shawn Bowers, Steven P. Callahan, George Chin Jr., Ben Clifford, Shirley Cohen, Sarah Cohen Boulakia, Susan B. Davidson, Ewa Deelman, Luciano A. Digiampietri, Ian T. Foster, Juliana Freire, James Frew, Joe Futrelle, Tara Gibson, Yolanda Gil, Carole A. Goble, Jennifer Golbeck, Paul Groth, David A. Holland, Sheng Jiang, Jihie Kim, David Koop, Ales Krenek, Timothy M. McPhillips, Gaurang Mehta, Simon Miles, Dominic Metzger, Steve Munroe, Jim Myers, Beth Plale, Norbert Podhorszki, Varun Ratnakar, Emanuele Santos, Carlos Eduardo Scheidegger, Karen Schuchardt, Margo I. Seltzer, Yogesh L. Simmhan, Cláudio T. Silva, Peter Slaughter, Eric G. Stephan, Robert Stevens, Daniele Turi, Huy T. Vo, Michael Wilde, Jun Zhao, Yong Zhao: Special Issue: The First Provenance Challenge. Concurr. Comput. Pract. Exp. 20(5): 409-418 (2008)

• Jihie Kim, Ewa Deelman, Yolanda Gil, Gaurang Mehta, Varun Ratnakar: Provenance trails in the Wings/Pegasus system. Concurr. Comput. Pract. Exp. 20(5): 587-597 (2008)

• Vijay S. Kumar, Mary W. Hall, Jihie Kim, Yolanda Gil, Tahsin M. Kurç, Ewa Deelman, Varun Ratnakar, Joel H. Saltz: Designing and parameterizing a workflow for optimization: A case study in biomedical imaging. IPDPS 2008: 1-5

• Jihie Kim, Erin Shaw, Sujith Ravi, Erin Tavano, Aniwat Arromratana, Pankaj Sarda: Scaffolding On-Line Discussions with Past Discussions: An Analysis and Pilot Study of PedaBot. Intelligent Tutoring Systems 2008: 343-352

• Lawrence D. Bergman, Jihie Kim, Bamshad Mobasher, Stefan M. Rüger, Stefan Siersdorfer, Sergej Sizov, Markus Stolze: International workshop on recommendation and collaboration (ReColl 2008). IUI 2008: 439

2007

• Jihie Kim, Yolanda Gil: Incorporating tutoring principles into interactive knowledge acquisition. Int. J. Hum. Comput. Stud. 65(10): 852-872 (2007)

• Yolanda Gil, Varun Ratnakar, Ewa Deelman, Gaurang Mehta, Jihie Kim: Wings for Pegasus: Creating Large-Scale Scientific Applications Using Semantic Representations of Computational Workflows. AAAI 2007: 1767-1774

• Jihie Kim, Erin Shaw, Grace Chern, Donghui Feng: An Intelligent Discussion-Bot for Guiding Student Interactions in Threaded Discussions. AAAI Spring Symposium: Interaction Challenges for Intelligent Assistants 2007: 66-71

• Sujith Ravi, Jihie Kim: Profiling Student Interactions in Threaded Discussions with Speech Act Classifiers. AIED 2007: 357-364

• Jihie Kim, Erin Shaw, Grace Chern, Roshan Herbert: Novel Tools for Assessing Student Discussions: Modeling threads and participant roles using speech act and course topic analysis. AIED 2007: 590-592

• Jihie Kim, Erin Shaw, Grace Chern, Donghui Feng: An Intelligent Discussion-Bot for Guiding Student Interactions in Threaded Discussions. Interaction Challenges for Intelligent Assistants 2007: 66-71

2006

• Donghui Feng, Jihie Kim, Erin Shaw, Eduard H. Hovy: Towards Modeling Threaded Discussions using Induced Ontology Knowledge. AAAI 2006: 1289-1294

• Donghui Feng, Erin Shaw, Jihie Kim, Eduard H. Hovy: An intelligent discussion-bot for answering student queries in threaded discussions. IUI 2006: 171-177

• Donghui Feng, Erin Shaw, Jihie Kim, Eduard H. Hovy: Learning to Detect Conversation Focus of Threaded Discussions. HLT-NAACL 2006

• Yolanda Gil, Jihie Kim, Varun Ratnakar, Ewa Deelman: Wings for Pegasus: A Semantic Approach to Creating Very Large Scientific Workflows. OWLED 2006

• Jihie Kim, Yolanda Gil, Varun Ratnakar: Semantic Metadata Generation for Large Scientific Workflows. International Semantic Web Conference 2006: 357-370

2005

• Philip Maechling, Hans Chalupsky, Maureen Dougherty, Ewa Deelman, Yolanda Gil, Sridhar Gullapalli, Vipin Gupta, Carl Kesselman, Jihie Kim, Gaurang Mehta, Brian Mendenhall, Thomas A. Russ, Gurmeet Singh, Marc Spraragen, Garrick Staples, Karan Vahi: Simplifying construction of complex workflows for non-expert users of the Southern California Earthquake Center Community Modeling Environment. SIGMOD Rec. 34(3): 24-30 (2005)

• Jihie Kim, Carole R. Beal, Zeeshan Maqbool: Developing Teaching Aids for Distance Education. AIED 2005: 848-850

• Jihie Kim: Reflection Patterns for Interactive Knowledge Capture. IJCAI 2005: 1566-1567

• Jihie Kim: Meta-level patterns for interactive knowledge capture. K-CAP 2005: 207-208

• Jihie Kim: Memory based meta-level reasoning for interactive knowledge capture. AAAI Spring Symposium: Metacognition in Computation 2005: 68-73

2004

• Jihie Kim, Marc Spraragen, Yolanda Gil: An intelligent assistant for interactive workflow composition. IUI 2004: 125-131

2003

• Jihie Kim, Peter M. Will, Sui-ky Ringo Ling, Robert Neches: Knowledge-rich catalog services for engineering design. Artif. Intell. Eng. Des. Anal. Manuf. 17(4): 349-366 (2003)

• Kim Barker, Jim Blythe, Gary C. Borchardt, Vinay K. Chaudhri, Peter Clark, Paul R. Cohen, Julie Fitzgerald, Kenneth D. Forbus, Yolanda Gil, Boris Katz, Jihie Kim, Gary W. King, Sunil Mishra, Clayton T. Morrison, Kenneth S. Murray, Charley Otstott, Bruce W. Porter, Robert Schrag, Tomás E. Uribe, Jeffrey M. Usher, Peter Z. Yeh: A Knowledge Acquisition Tool for Course of Action Analysis. IAAI 2003: 43-50

• Jihie Kim, Yolanda Gil: Proactive Dialogue for Interactive Knowledge Capture. IJCAI 2003: 1398-1399

• Jihie Kim, Jim Blythe: Supporting plan authoring and analysis. IUI 2003: 109-116

• Mike Pool, Kenneth S. Murray, Julie Fitzgerald, Mala Mehrotra, Robert Schrag, Jim Blythe, Jihie Kim, Hans Chalupsky, Pierluigi Miraglia, Thomas A. Russ, David Schneider: Evaluating expert-authored rules for military reasoning. K-CAP 2003: 96-104

2002

• David C. Glahn, Jihie Kim, Mark S. Cohen, Veli-Pekka Poutanen, Sebastian Therman, S. Bava, Theo G. M. van Erp, Marko Manninen, Matti Huttunen, Jouko Lönnqvist, Carl-Gustav Standertskjöld-Nordenstam, Tyrone D. Cannon: Maintenance and Manipulation in Spatial Working Memory: Dissociations in the Prefrontal Cortex. NeuroImage 17(1): 201-213 (2002)

• Jihie Kim, Yolanda Gil: Deriving Acquisition Principles from Tutoring Principles. Intelligent Tutoring Systems 2002: 661-670

2001

• Jihie Kim, Yolanda Gil: Knowledge Analysis on Process Models. IJCAI 2001: 935-942

• Jim Blythe, Jihie Kim, Surya Ramachandran, Yolanda Gil: An integrated environment for knowledge acquisition. IUI 2001: 13-20

2000

• Jihie Kim, Paul S. Rosenbloom: Bounding the cost of learned rules. Artif. Intell. 120(1): 43-80 (2000)

• Jihie Kim, Yolanda Gil: Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test. AAAI/IAAI 2000: 223-229

• Jihie Kim, Yolanda Gil: User studies of an interdependency-based interface for acquiring problem-solving knowledge. IUI 2000: 165-168

1999

• Jihie Kim, Yolanda Gil: Deriving Expectations to Guide Knowledge Base Creation. AAAI/IAAI 1999: 235-241

1997

• Wei-Min Shen, Jafar Adibi, Bonghan Cho, Gal A. Kaminka, Jihie Kim, Behnam Salemi, Sheila Tejada: Yoda: The Young Observant Discovery Agent. AI Mag. 18(1): 37-45 (1997)

1996

• Jihie Kim, Paul S. Rosenbloom: Learning Efficient Rules by Maintaining the Explanation Structure, In proceedings of the Thirteenth National Conference on Artificial Intelligence, 1996, pp.763-770  (AAAI-1996)

• Wei-Min Shen, Jafar Adibi, Bonghan Cho, Gal A. Kaminka, Jihie Kim, Behnam Salemi, Sheila Tejada: YODA: The Young Observant Discovery Agent. AAAI/IAAI, Vol. 2 1996: 1357

• Jihie Kim: Bounding the Cost of Learned Rules: A Transformational Approach. Ph.D. Thesis, University of Southern California, 1996.

• Jihie Kim, Paul S. Rosenbloom: A Transformational Analysis of the EBL Utility Problem. AAAI 1996

1993

• Jihie Kim, Paul S. Rosenbloom: Constraining Learning with Search Control. ICML 1993: 174-181

Awards

1. PedEval: Measuring the Impact of 0nline Discourse in Undergraduate STEM Courses: Semi-automatic Assessment of Large Discussion Board Corpora
   Principal Investigator. National Science Foundation, REESE Program [Award #1008747] .
   
   Studying effectiveness of communication as a means for measuring student learning and the further development of novel metrics based on NLP and machine learning techniques.

2. PedGames: Creative Secondary STEM Learning Through Collaborative Game Building
   Principal Investigator. National Science Foundation, Creative IT Program [Award #1002901] .
   
   Developing and evaluating school curriculum for learning standards-based content via game making. The project addresses the educational needs of at-risk high school students in underperforming schools in the Los Angeles Unified School District (LAUSD).

3. SocRecomm: Mining and Supporting Teacher Social Networking: Intelligent Recommendation of NSDL Resources to support Middle School Teacher Collaboration
   Principal Investigator. National Science Foundation, NSDL Program[Award #1044427].
   
   Realizing the goal of self educating teacher communities by providing intelligent recommendation services that will find the best connections between mentors and mentees, and find the most relevant NSDL resources and forums that meet the needs of individual teachers. Such recommendation systems will greatly enhance the usability and usefulness of the current educational social networks.

4. PedWiki: Instructional Assessment of Wiki Use in Engineering Courses through Discourse Analysis and Topic Classification
   Principal Investigator. National Science Foundation, The Course Curriculum and Laboratory Improvement Program (CCLI) program [Award #0941950].
   
   The project focuses on three inter-related ways in which Wiki use can be exploited for education. We propose to do the following: 1. Develop and study new and ongoing Wiki-based engineering projects, and compare their adoption to Wiki projects in non-engineering courses. 2. Create instructional (pedagogical) assessment tools based on discourse analysis and course topic ontology for qualitatively evaluating student Wiki use. 3. Identify scaffolding opportunities such as automated recommender interfaces to promote student engagement and collaboration.

5. PedWorkflow: Workflows for assessing student learning.
   Principal Investigator. National Science Foundation, CISE Information and Intelligent Systems (IIS) program [Award #0917328].
   
   Developing a workflow environment that supports efficient assessment of student learning through interactive generation and execution of various assessment workflows.

6. PedDiscourse: Scaffolding pedagogical discourse in engineering courses.
   Principal Investigator. National Science Foundation, The Course Curriculum and Laboratory Improvement (CCLI) phase II program [Award #0618859]).
   
   Assessing student activities in threaded on-line discussions and providing answers to student queries. The goal of the project is to design, deploy and evaluate software tools that automatically structure and scaffold undergraduate student interactions within online discussion boards.