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Selected Publications

 

List of publications from DBLP Server can be found at [ DBLP SangKeun Lee ]

  • [EMNLP] Jun-Hyung Park*, Hyuntae Park*, Youjin Kang, Eojin Jeon, and SangKeun Lee (* equal contribution), “DIVE: Towards Descriptive and Diverse Visual Commonsense Generation”, Proc. of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.9677–9695, Singapore, Dec 2023.
  • [EMNLP] Yeachan Kim, Junho Kim, Jun-Hyung Park, Mingyu Lee, and SangKeun Lee, “Leap-of-Thought: Accelerating Transformers via Dynamic Token Routing”, Proc. of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.15757–15769, Singapore, Dec 2023.
  • [EMNLP] Eojin Jeon*, Mingyu Lee*, Juhyeong Park, Yeachan Kim, Wing-Lam Mok, and SangKeun Lee (* equal contribution), “Improving Bias Mitigation through Bias Experts in Natural Language Understanding”, Proc. of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.11053–11066, Singapore, Dec 2023.
  • [EMNLP] Joon-Young Choi, Junho Kim, Jun-Hyung Park, Wing-Lam Mok, and SangKeun Lee, “SMoP: Towards Efficient and Effective Prompt Tuning with Sparse Mixture-of-Prompts”, Proc. of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.14306-14316, Singapore, Dec 2023.
  • [AACL] Huiju Kim, Youjin Kang, and SangKeun Lee, “Examining a Consistency of Visual Commonsense Reasoning based on Person Grounding”, Proc. of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (IJCNLP-AACL), pp.1026-1039, Bali, Indonesia, November 2023.
  • [ACL] Yeachan Kim*, Junho Kim*, Wing-Lam Mok, Jun-Hyung Park and SangKeun Lee (* equal contribution), “Client-Customized Adaptation for Parameter-Efficient Federated Learning”, Findings of the Association for Computational Linguistics: ACL 2023, pp.1159-1172, Toronto, Canada, July 2023.
  • [EACL] San-Hee Park*, Kang-Min Kim*, O-Joun Lee, Youjin Kang, Jaewon Lee, Su-Min Lee, SangKeun Lee (* equal contribution), ““Why do I feel offended?” – Korean Dataset for Offensive Language Identification”, Findings of the Association for Computational Linguistics: EACL 2023, pp.1112-1123, Dubrovnik, Croatia, May 2023.
  • [AAAI] Jun-Hyung Park, Yeachan Kim, Junho Kim, Joon-Young Choi, and SangKeun Lee, “Dynamic Structure Pruning for Compressing CNNs”, Proc. of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), pp.9408–9416, Washington DC, USA, February 2023.
  • [EMNLP] Nayeon Kim*, Jun-Hyung Park*, Joon-Young Choi, Eojin Jeon, Youjin Kang, and SangKeun Lee (* equal contribution), “Break it Down into BTS: Basic, Tiniest Subword Units for Korean”, Proc. of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.7007–7024, Abu Dhabi, UAE, December 2022.
  • [EMNLP] Junho Kim*, Jun-Hyung Park*, Mingyu Lee, Wing-Lam Mok, Joon-Young Choi, and SangKeun Lee (* equal contribution), “Tutoring Helps Students Learn Better: Improving Knowledge Distillation for BERT with Tutor Network”, Proc. of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.7371–7382, Abu Dhabi, UAE, December 2022.
  • [EMNLP] Mingyu Lee*, Jun-Hyung Park*, Junho Kim, Kang-Min Kim, and SangKeun Lee (* equal contribution), “Efficient Pre-training of Masked Language Model via Concept-based Curriculum Masking”, Proc. of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.7417–7427, Abu Dhabi, UAE, December 2022.
  • [TECS] Jun-Hyung Park, Kang-Min Kim, and SangKeun Lee , “Quantized Sparse Training: A Unified Trainable Framework for Joint Pruning and Quantization of DNNs”, ACM Transactions on Embedded Computing Systems, Vol.21, Issue.5, Article 60, September 2022.
  • [ACL] Yong-Ho Jung*, Jun-Hyung Park*, Joon-Young Choi, Mingyu Lee, Junho Kim, Kang-Min Kim, and SangKeun Lee (* equal contribution), “Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference”, Findings of the Association for Computational Linguistics: ACL 2022, pp.1514-1523, Dublin, Ireland, May 2022.
  • [ESWA] Jun-Hyung Park, Byung-Ju Choi, and SangKeun Lee , “Examining the Impact of Adaptive Convolution on Natural Language Understanding”, Expert Systems With Applications, Vol.189, March 2022.
  • [EMNLP] San-Hee Park*, Kang-Min Kim*, Seonhee Cho*, Jun-Hyung Park, Hyuntae Park, Hyuna Kim, Seongwon Chung, and SangKeun Lee (* equal contribution), “KOAS: Korean Text Offensiveness Analysis System” (Demo), Proc. of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp.72-78, Punta Cana, Dominican Republic, November 2021.
  • [EACL] Ohjoon Kwon*, Dohyun Kim*, Soo-Ryeon Lee, Junyoung Choi, and SangKeun Lee (* equal contribution), “Handling Out-of-Vocabulary Problem in Hangeul Word Embeddings”, Proc. of the 16th Conference of the European Chapter of the Association for Computational Linguistics (EACL), pp.3213–3221, Kyiv, Ukraine, April 2021.
  • [EMNLP] Kang-Min Kim, Bumsu Hyeon, Yeachan Kim, Jun-Hyung Park, and SangKeun Lee, “Multi-pretraining for Large-scale Text Classification”, Findings of the Association for Computational Linguistics: EMNLP 2020, pp.2041-2050, November 2020.
  • [ACL] Yeachan Kim, Kang-Min Kim, and SangKeun Lee, “Adaptive Compression of Word Embeddings”, Proc. of Annual Conference of the Association for Computational Linguistics (ACL), pp.3950-3959, Seattle, USA, July 2020.
  • [SAC] Jungho Lee, Byung-Ju Choi, Yeachan Kim, Kang-Min Kim, Woo-Jong Ryu, and SangKeun Lee, “Personalizing Large-scale Text Classification by Modeling Individual Differences”, Proc. of  ACM Symposium on Applied Computing (ACM SAC), pp.900-902, Brno, Czech Republic, April 2020.
  • [BigData] Song-Eun Lee, Kang-Min Kim, Woo-Jong Ryu, Jemin Park, and SangKeun Lee, “From Text Classification to Keyphrase Extraction for Short Text”, Proc. of IEEE International Conference on Big Data (BigData), pp.1137-1142, Los Angeles, USA, December 2019.
  • [NAACL-HLT] Byung-Ju Choi, Jun-Hyung Park, and SangKeun Lee, “Adaptive Convolution for Text Classification”, Proc. of Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL-HLT), pp.2475-2485, Mineapolis, USA, June 2019.
  • [WWW] Kang-Min Kim, Yeachan Kim, Jungho Lee, Ji-Min Lee, and SangKeun Lee, “From Small-scale to Large-scale Text Classification”, Proc. of International Conference on World Wide Web (WWW), pp.853-862, San Francisco, USA, May 2019.
  • [SAC] Jung-Hyun Lee, Woo-Jong Ryu, Kang-Min Kim, and SangKeun Lee, “MoCA: A Novel Privacy-preserving Contextual Advertising Platform on Mobile Devices”, Proc. of ACM Symposium on Applied Computing (ACM SAC), pp.1208-1215, Limassol, Cyprus, April 2019.
  • [IC] Kang-Min Kim*, Woo-Jong Ryu*, Jun-Hyung Park, and SangKeun Lee (* equal contribution), “meChat: In-device Personal Assistant for Conversational Photo Sharing”, IEEE Internet Computing, Vol.23, Issue.2, pp.23-30, March/April 2019.
  • [COLING] Yeachan Kim, Kang-Min Kim, Ji-Min Lee, and SangKeun Lee, “Learning to Generate Word Representations using Subword Information”, Proc. of the 27th International Conference on Computational Linguistics (COLING), pp.2551-2561, New Mexico, USA, August 2018.
  • [PAKDD] Kang-Min Kim, Aliyeva Dinara, Byung-Ju Choi, and SangKeun Lee, “Incorporating Word Embeddings into Open Directory Project based Large-scale Classification”, Proc. of the 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), pp.376-388, Melbourne, Australia, June 2018.
  • [KNOSYS] Zolzaya Dashdorj, Stanislav Sobolevsky, SangKeun Lee, and Carlo Ratti, “Deriving Human Activity from Geo-located Data by Ontological and Statistical Reasoning”, Knowledge-Based Systems, Vol.143, pp.225-235, March 2018.
  • [Middleware] So-Jung Park, Jung-Hyun Lee, So-Young Jun, Kang-Min Kim and SangKeun Lee, “MoCA+: Incorporating User Modeling into Mobile Contextual Advertising” (Demo), Proc. of ACM/IFIP/USENIX International Conference on Middleware (Middleware), pp.21-22, Las Vegas, USA, December 2017.
  • [WWWJ] Md. Hijbul Alam, Woo-Jong Ryu, and SangKeun Lee, “Hashtag-based Topic Evolution in Social Media”, World Wide Web Journal, Vol.20, Issue.6, pp.1527-1549, November 2017.
  • [UbiComp] Woo-Jong Ryu, HyeonTaek Oh, and SangKeun Lee, “sigInterface: A Personalized Interface for Intelligent Services” (Poster), Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2017): Adjunct, pp.185-188, Hawaii, USA, September 2017.
  • [MobiSys] Jung-Hyun Lee, So-Young Jun, So-Jung Park, Kang-Min Kim and SangKeun Lee, “Mobile Contextual Advertising Platform based on Tiny Text Intelligence” (Demo), Proc. of ACM International Conference on Mobile Systems, Applications and Services (ACM MobiSys), page 181, Niagara Falls, USA, June 2017.
  • [MobiSys] Hyunwoong Bang, Hyunsub Kim and SangKeun Lee, “sigSocial: A Novel Social Media Aggregation Service using a Tiny Text Intelligence” (Demo), Proc. of ACM International Conference on Mobile Systems, Applications and Services (ACM MobiSys), page 184, Niagara Falls, USA, June 2017.
  • [IS] Woo-Jong Ryu, Jung-Hyun Lee, and SangKeun Lee, “Utilizing Verbal Intent in Semantic Contextual Advertising”, IEEE Intelligent Systems, Vol.32, Issue.3, pp.7-13, May/June 2017.
  • [WWW] Woo-Jong Ryu, Jung-Hyun Lee, Kang-Min Kim, and SangKeun Lee, “meCurate: Personalized Curation Service using a Tiny Text Intelligence” (Demo), Proc. of International Conference on World Wide Web (WWW): Companion Volumn, pp.269-272, Perth, Australia, April 2017.
  • [SAC] (Best Paper Award) HaeYong Shin, GeunJae Lee, Woo-Jong Ryu and SangKeun Lee, “Utilizing Wikipedia Knowledge in Open Directory Project-based Text Classification”, Proc. of ACM Symposium on Applied Computing (ACM SAC), pp.309-314, Marrakesh, Morocco, April 2017.
  • [UbiComp] HaeYong Shin, HyeonTaek Oh, Woo-Jong Ryu, and SangKeun Lee, “sigAlbum: An Embedded Photo Service using a Tiny Text Intelligence” (Demo), Proc. of ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp 2016): Adjunct, pp.373-376, Heidelberg, Germany, September 2016.
  • [INS] Md. Hijbul Alam, Woo-Jong Ryu, and SangKeun Lee, “Joint Multi-grain Topic Sentiment: Modeling Semantic Aspects for Online Reviews”, Information Sciences, Vol.339, pp.206-223, April 2016.
  • [INS] Byung-Gul Ryu, JongWoo Ha, and SangKeun Lee, “XQStream++: Fast Tuple Extraction Algorithm for Streaming XML Data”, Information Sciences, Vol.314, pp.311-326, September 2015.
  • [IC] JongWoo Ha, Jung-Hyun Lee, and SangKeun Lee, “EPE: An Embedded Personalization Engine for Mobile Users”, IEEE Internet Computing, Vol.18, Issue 1, pp.30-37, January/February 2014.
  • [TWEB] Jung-Hyun Lee, JongWoo Ha, Jin-Yong Jung, and SangKeun Lee, “Semantic Contextual Advertising based on the Open Directory Project”, ACM Transactions on the Web, Vol.7, Issue.4, Article 24, October 2013.
  • [ICDM] Md. Hijbul Alam and SangKeun Lee, “Semantic Aspect Discovery for Online Reviews”, Proc. of the IEEE International Conference on Data Mining (IEEE ICDM), pp.816-821, Brussels, Belgium, December 2012.
  • [KAIS] Md. Hijbul Alam, JongWoo Ha, and SangKeun Lee, “Novel Approaches to Crawling Important Pages Early”, Knowledge and Information Systems, Vol.33, No.3, pp.707-734, December 2012.
  • [INS] SangKeun Lee, Byung-Gul Ryu, and Kun-Lung Wu, “Examining the Impact of Data-access Cost on XML Twig Pattern Matching”, Information Sciences, Vol.203, pp.24-43, October 2012.
  • [TMC] Jae-Ho Choi, Kyu-Sun Shim, SangKeun Lee, and Kun-Lung Wu,  “Handling Selfishness in Replica Allocation over a Mobile Ad Hoc Network”, IEEE Transactions on Mobile Computing, Vol.11, No.2, pp.278-291, February 2012.
  • [CIKM] JongWoo Ha, Jung-Hyun Lee, Kyu-Sun Shim, and SangKeun Lee, “EUI: An Embedded Engine for Understanding User Intents from Mobile Devices” (Demo), Proc. of the 19th ACM International Conference on Information and Knowledge Management (ACM CIKM), pp. 1935-1936, Toronto, Canada, October 2010.
  • [TKDE] Hye-Kyeong Ko and SangKeun Lee, “A Binary String Approach for Updates in Dynamic Ordered XML Data”, IEEE Transactions on Knowledge and Data Engineering, Vol.22, No.4, pp.602-607, April 2010.
  • [WIDM] Jung-Jin Lee, Jung-Hyun Lee, JongWoo Ha, and SangKeun Lee, “Novel Web Page Classification Techniques in Contextual Advertising”, Proc. of the 11th ACM International Workshop on Web Information and Data Management (ACM WIDM), pp.39-47, Hong Kong, China, November 2009.
  • [INS] Hye-Kyeong Ko, Min-Jeong Kim, and SangKeun Lee, “On the Efficiency of Secure XML Broadcasting “, Information Sciences, Vol.177, Issue.24, pp.5505-5521, December 2007.
  • [MobiDE] Jae-Ho Choi, Sang-Hyun Park, Myung-Soo Lee, Yon Dohn Chung, and SangKeun Lee, “XIR: Cache Invalidation Strategy for XML Data in Mobile Environments”, Proc. of the 6th International ACM Workshop on Data Engineering for Wireless and Mobile Access (ACM MobiDE), pp.79-82, Beijing, China, June 2007.
  • [TKDE] SangKeun Lee, Chong-Sun Hwang, and Masaru Kitsuregawa, “Efficient, Energy Conserving Transaction Processing in Wireless Data Broadcast”, IEEE Transactions on Knowledge and Data Engineering, Vol.18, No.9, pp.1225-1238, September 2006.
  • [MDM] SangKeun Lee and SungSuk Kim, “Performance Evaluation of a Predeclaration-based Transaction Processing in a Hybrid Data Delivery”, Proc. of the 5th International Conference on Mobile Data Management (IEEE MDM), pp.266-273, Berkeley, USA, January 2004.
  • [TKDE] SangKeun Lee, Chong-Sun Hwang, and Masaru Kitsuregawa, “Using Predeclaration for Efficient Read-only Transaction Processing in Wireless Data Broadcast”, IEEE Transactions on Knowledge and Data Engineering, Vol.15, No.6, pp.1579-1583, November/December 2003.
  • [ICDCS] SangKeun Lee, Masaru Kitsuregawa, and Chong-Sun Hwang, “Using Predeclaration for Efficient Read-only Transaction Processing in Wireless Data Broadcast”, Proc. of the 22nd International Conference on Distributed Computing Systems (IEEE ICDCS), pp.441-442, Vienna, Austria, July 2002.
  • [DAPD] SangKeun Lee, Chong-Sun Hwang, and HeonChang Yu, “Revisiting Transaction Management in Multidatabase Systems”, Distributed and Parallel Databases, Vol.9, No.1, pp.39-65, 2001.
  • [MobiDE] SangKeun Lee, Chong-Sun Hwang, and HeonChang Yu, “Supporting Transactional Cache Consistency in Mobile Database Systems”, Proc. of the 1st International Workshop on Data Engineering for Wireless and Mobile Access (ACM MobiDE), pp.6-13, Seattle, USA, August 1999.
  • [CIKM] SangKeun Lee, Chong-Sun Hwang, and WonGyu Lee, “A Uniform Approach to Global Concurrency Control and Recovery in Multidatabase Environments”, Proc. of the 6th International Conference on Information and Knowledge Management (ACM CIKM), pp.51-58, Las Vegas, USA, November 1997.
  • [CIKM] SangKeun Lee, SoonYoung Jung, and Chong-Sun Hwang, “A New Conflict Relation for Concurrency Control and Recovery in Object-based Databases”, Proc. of the 5th International Conference on Information and Knowledge Management (ACM CIKM), pp.288-295, Maryland, USA, November 1996.

 

International Patents

  • [US Patent] US Patent 11328125, Method and server for text classification using multi-task learning, May 10, 2022
  • [EPO Patent] EPO Patent 2533430, Portable communication terminal for extracting subjects of interest to the user, and a method therefor, March 11, 2020
  • [US Patent] US Patent 10423723, Apparatus and method for extracting semantic topic, September 24, 2019
  • [US Patent] US Patent 10380244, Server and method for providing content based on context information, August 13, 2019
  • [US Patent] US Patent 9323845, Portable communication terminal for extracting subjects of interest to the user, and a method therefor, April 26, 2016
  • [US Patent] US Patent 9152723, Method and apparatus for providing internet service in mobile communication terminal, October 6, 2015
  • [US Patent] US Patent 7457615, Method for processing query effectively in radio data broadcast environment, November 25, 2008
  • [US Patent] US Patent 7136968, System and method for maintaining cache consistency in a wireless communication system, November 14, 2006