Professor

Education

• Ph.D., Computer Science, North Carolina State University, NC, USA

Thesis: Wireless MAC Protocol Design and Analysis

Advisor: Dr. Mihail L. Sichitiu

• M.S., Computer Science, KAIST, Daejeon, Republic of Korea

Thesis: DNS Resolution with Renewal Using Piggyback

Advisor: Dr. Kilnam Chon

• B.S., Computer Science, Yonsei University, Seoul, Republic of Korea

Professional Bio

• Full Professor, Graduate School of Information, Yonsei University, Seoul, Korea (2024 ~ )

• Adjunct Professor (겸직교수), Dept. of Artificial Intelligence, Yonsei University, Seoul, Korea (2022 ~)

• Vice Dean (부원장), Graduate School of Information, Yonsei University, Seoul, Korea (2022 ~ 2024) 

• Head Professor (주임교수), Strategic Management of Big Data Anaytics (SMBA), Graduate School of Information, Yonsei University, Seoul, Korea (2022 ~ 2024) 

• Associate Professor, Graduate School of Information, Yonsei University, Seoul, Korea (2021 ~ 2024)

• Assistant/Associate Professor, Dept. of Computer Science, Sangmyung University, Seoul, Korea (2012 ~ 2021)

• Chair (학과장), Dept. of Computer Science, Sangmyung University, Seoul, Korea 

• Chair (학과장), Dept. of Midia Software, Sangmyung University, Seoul, Korea 

• Head Professor (주임교수), Information Security major, Sangmyung University, Seoul, Korea 

• Head Professor (주임교수), Smart IOT major, Sangmyung University, Seoul, Korea 

• Chief Research Engineer, LG Electronics Inc. (2009 ~2012)

• Vice President, The Knowledge Management Society of Korea (2025)

Research Interest

• Bigdata Analytics and Privacy

• Artificial Intelligence, Deep Learning and Neural Networks

• Natural Language Processing, Language Language Model

• Information Retrieval

• Wireless Networking

Honors and Awards

• 2022.09 우수 강의상, 연세대학교 정보대학원

• 2021.02 우수상, 국제저명학술논문 우수교원 (전체계열), 상명대학교

• 2020.02 최우수상, 국제저명학술논문 우수교원 (전체계열), 상명대학교

• 2013.10 특별상, 한국산업보안연구학회

Selected Publications

Up-to-date list is maintained in ANDlab publication site. You can also check at Google Scholar site.

• ABED: Abductive Bidirectional Entailment Diagnosis for Open-World Logical Reasoning, Seyeon Jeong, Sojeong Park and Beakcheol Jang, EMNLP 2026 (Main Conference).

• DuQUAD: A Dual-View Framework with Quality-Aware Evidence Pruning for Multi-Document Question Answering, Yeonjun Choi, Seyeon Jeong, Jong Wook Kim and  Beakcheol Jang, EMNLP 2026 (Main Conference).

• When Retrieval Similarity Hurts: A Diagnostic Framework for Document Weighting in Black-Box RAG, Dongju Seo and Beakcheol Jang, Findings of EMNLP 2026.

• Beyond Similarity: Coverage-Aware Prompt Selection for Time Series Forecasting with LLMs, Daeun Ji, Minkyoung Kim, Dongkuk Kim, Yohan Lee, Beomsoo Kim and Beakcheol Jang, Findings of EMNLP 2026.

• PROGRAM: Programmatic Retrieval Optimization with Generative Reasoning and Augmented Multi-queries, Gun Il Kim, Jungkyu Shin, Jong Wook Kim and Beakcheol Jang, Findings of ACL 2026.

• CTRL: Control-Based Time Series Forecasting with LLM-Guided Residual Learning, Minkyoung Kim, Daeun Ji, Yohan Lee, Beomsoo Kim and Beakcheol Jang,  Findings of ACL 2026.

• “As Eastern Powers, I will veto” : An Investigation of Nation-level Bias of Large Language Models in International Relations, Jonghyeon Choi, Yeonjun Choi, Hyun-chul Kim and Beakcheol Jang, AAAI 2026.

• UniRAG: A Unified RAG Framework for Knowledge-Intensive Queries with Decomposition, Break-Down Reasoning, and Iterative Rewriting, Gun Il Kim, Jongwook Kim and Beakcheol Jang,  Findings of EMNLP 2025.

• A pivot-enhanced question answering framework: using iterative sub-question decomposition and answer-to-question verification, Seyeon Park and Beakcheol Jang, ACM CIKM 2025.

• Multi-Test Nation Bias Benchmarking of LLMs with Explicit Unbiased Baselines, Jonghyeon Choi, Yeonjun Choi and Beakcheol Jang, TACL, forthcoming. 

• Efficient Compressing and Tuning Methods for Large Language Models: A Systematic Literature Review, Gun Il Kim, Sunga Hwang and Beakcheol Jang, ACM CSUR 2025. 

• Visual Question Answering: A Survey of Methods, Datasets, Evaluation, and Challenges, Byeong Su Kim, Jieun Kim, Deokwoo Lee and Beakcheol Jang, ACM CSUR 2025. 

• Forecasting epidemic spread with recurrent graph gate fusion transformers, Minkyoung Kim, Jae Heon Kim and Beakcheol Jang, IEEE JBHI 2025.

• Long-term influenza outbreak forecast using time-precedence correlation of web data, Beakcheol Jang, Inhwan Kim and Jong Wook Kim, IEEE TNNLS 2023.

• Survey of landmark-based indoor positioning technologies, Beakcheol Jang, Hyunjung Kim and Jong Wook Kim, Information Fusion 2023.

• Collaborative ehealth privacy and security: An access control with attribute revocation based on OBDD access structure, Kennedy Edemacu, Beakcheol Jang and Jong Wook Kim, IEEE JBHI 2020.

• Indoor positioning technologies without offline fingerprinting map: A survey, Beakcheol Jang and Hyunjung Kim, IEEE COMST 2019. 

• IEEE 802.11 saturation throughput analysis in the presence of hidden terminals, Beakcheol Jang and Mihail L. Sichitiu, IEEE/ACM TON 2012. 

• RapTEX: Rapid prototyping tool for embedded communication systems, Jun Bum Lim, Beakcheol Jang, Suyoung Yoon, Mihail L. Sichitiu and Alexander G Dean, ACM TOSN 2010.