Current Research Interest

• Graph deep learning, Recommender systems, and Time-series data analysis

Education

• Ph.D. in Computer Science and Engineering, University of California, San Diego, 2010 (advisor: Yannis Papakonstantinou)

• 석사, 서울대학교 전기컴퓨터공학부, 2002

• 학사, 서울대학교 전산과학과, 2000

Employment

• 교수, 서울시립대학교 컴퓨터과학부, Korea, 2012 ~ Current

• 전문연구원, 삼성전자 종합기술원(SAIT), Korea, 2010 ~ 2012 (Group: Data Analytics)

• Research Intern, ISRC (Search Group), Microsoft Research, Mountain View, CA, Summer 2008 (Topic: Search Session Identification using the Query Reformulation Graph)

• Research Intern, Data Management in Computer Science Dept, IBM Almaden Research Center, San Jose, CA, Summer 2007 (Topic: Fast Contextual Search in Graph-Structured Data)

• Research Intern, Data Management in Computer Science Dept, IBM Almaden Research Center, San Jose, CA, Summer 2006 (Topic: Flexible Querying of Integrated Data)

Manuscripts In Progress (Current)

1. “Dual Diffusion with Coarse-to-Fine Guidance and Bias-aware Integration for Cross-Domain Recommendation”, submitted

2. “One-Class Monophily–Aware Contrastive Learning for Graph Anomaly Detection”, submitted

3. “BalGNN: Balancing Decorrelation and Label Predictability for Deep Graph Representation Learning”(extended version), submitted

Recent Publications (2025~)

1. “Dynamic Exploitation of Source Experts for Few-Shot Node Classification on Text-Attributed Graphs”, Minuk Kim, CIKM 2026 (2026.11)

2. “Context–Relation Alignment in Document-Level Relation Extraction via Prompt Graphs”, Minuk Kim, DASFAA 2026 (2026.04)

3. “Toward Generalizable Multi-Domain Graph Foundation Models via Dynamic Domain-Aware Feature Alignment”, Dahyun Jeong, DASFAA 2026 (2026.04)

4. “Balancing Decorrelation and Label Predictability for Deep Graph Representation Learning”, Naeun Park, IEEE Big Data 2025 (2025.12)

Research Projects (2015~2025)

1. 그래프 딥러닝을 위한 적응적 자기지도학습 프레임워크 (2022R1A2C1011637, 한국연구재단 중견연구) 2022-03-01 ~ 2025-02-28

2. 지식 발굴을 위한 빅데이터 분석 프레임워크 개발 (2019R1A2C1008743, 한국연구재단 중견연구) 2019-03-01 ~ 2022-08-31

3. 시계열 빅데이터 분석고도화를 위한 자동진화형 고성능 탐색프레임워크 개발 (2016R1C1B2015528, 한국연구재단 신진연구) 2016-06-01 ~ 2019-05-31

4. 교통데이터 향 데이터마이닝과 V2X 통신기술을 활용한 자율 주행 시스템 연구 (2015R1A2A2A04005646, 한국연구재단 융합연구(공동)) 2015-05-01 ~ 2018-04-30

Domestic Journal Publications (2019~2024)

1. UED: 간선 판별기와 탈결합 인코더를 사용한 비지도 그래프 표현 학습 모델, 한국정보과학회 컴퓨팅의 실제 논문지, 이희태 2024.07

2. 이질 간선과 신규 간선을 고려한 그래프 신경망 기반 추천,  한국정보과학회 컴퓨팅의 실제 논문지, 최석휘, 2024.05

3. 가중집합 샘플링의 효율성 향상 기법, 한국정보과학회 컴퓨팅의 실제 논문지, 김윤나, 2020

4. 견고한 시계열 표현 및 분류정확도 향상을 위한 그리드 셀 가중치 학습 방법, 한국정보과학회 컴퓨팅의 실제 논문지, 강준영, 2019

Domestic Conference Papers (2019~2023)

1. 간선 성질 예측과 다중 채널 혼합을 이용한 비지도 이질 간선 그래프 분석, 최석휘, 2023

2. 간선 판별기와 도달행렬을 사용한 비지도 그래프 대조 학습, 이희태, 2023

3. 이질 클래스 간 링크와 신규 링크를 고려한 그래프 신경망 기반 추천 시스템, 최석휘, 2023

4. 추천 시스템을 위한 관심사 인지 그래프 합성곱 신경망의 대조 학습 기법, 장혜원, 2023

5. 그래프 합성곱 신경망을 위한 특징 노드를 활용한 그래프 확장 기법, 이동진, 2023

6. 이미지넷 기반의 적대적 생성 신경망을 이용한 제로 샷 화질 개선, 이승현, 2020

7. AUDEC: 데이터 증식을 이용한 비지도 딥 임베디드 클러스터링, 김규희, 김윤나, 2020

8. 군집화를 위한 게이트 기반 잠재 벡터 통합 기법, 천상진, 2020

9. 추천 정확도 향상을 위한 선호도 예측모델 통합 기법, 천상진, 2019

10. 가중집합 샘플링의 효율성 향상 기법, 김윤나, 2019

11. 분류 중심 그리드 셀 가중치를 이용한 견고한 시계열 표현 방법, 강준영, 2019

International Publications

1. Lee, Seunghyun, Joonseok Lim, Jaeseung Shin, Sungwon Kim, and Heasoo Hwang. "Pathologic complete response prediction after neoadjuvant chemoradiation therapy for rectal cancer using radiomics and deep embedding network of mri." Applied Sciences 11, no. 20 (2021): 9494.

2. Kim, Yunna, and Heasoo Hwang. "Approximate consistent weighted sampling for efficient top-k search." International Journal of Innovative Computing, Information and Control 16, no. 3 (2020): 1125-1132.

3. Sellami, Ali, and Heasoo Hwang. "A robust deep convolutional neural network with batch-weighted loss for heartbeat classification." Expert Systems with Applications 122 (2019): 75-84.

4. Park, Youngki, Heasoo Hwang, and Sang-goo Lee. "Query-specific signature selection for efficient k-nearest neighbour approximation." Journal of Information Science 43, no. 4 (2017): 440-457.

5. Park, Youngki, Heasoo Hwang, and Sang-goo Lee. "A novel algorithm for scalable k-nearest neighbour graph construction." Journal of Information Science 42, no. 2 (2016): 274-288.

6. Park, Youngki, Heasoo Hwang, and Sang-goo Lee. "A fast k-nearest neighbor search using query-specific signature selection." In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pp. 1883-1886. 2015.

7. Hwang, Heasoo, Hady W. Lauw, Lise Getoor, and Alexandros Ntoulas. "Organizing User Search Histories." IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING 24, no. 5 (2012).

8. Hwang, Heasoo. "Dynamic link-based ranking over large-scale graph-structured data." PhD dissertation, UC San Diego, 2010.

9. Hwang, Heasoo, Andrey Balmin, Berthold Reinwald, and Erik Nijkamp. "Binrank: Scaling dynamic authority-based search using materialized subgraphs." IEEE Transactions on Knowledge and Data Engineering 22, no. 8 (2010): 1176-1190.

10. Hwang, Heasoo, Andrey Balmin, Berthold Reinwald, and Erik Nijkamp. "BinRank: Scaling Dynamic Authority-Based Search Using Materialized SubGraphs." In 2009 IEEE 25th International Conference on Data Engineering, pp. 66-77. IEEE, 2009.

11. Baid, Akanksha, Andrey Balmin, Heasoo Hwang, Erik Nijkamp, Jun Rao, Berthold Reinwald, Alkis Simitsis, Yannis Sismanis, and Frank van Ham. "Dbpubs: multidimensional exploration of database publications." Proceedings of the VLDB Endowment 1, no. 2 (2008): 1456-1459.

12. Hristidis, Vagelis, Heasoo Hwang, and Yannis Papakonstantinou. "Authority-based keyword search in databases." ACM Transactions on Database Systems (TODS) 33, no. 1 (2008): 1-40.

13. Hwang, Heasoo, Andrey Balmin, Hamid Pirahesh, and Berthold Reinwald. "Information discovery in loosely integrated data." In Proceedings of the 2007 ACM SIGMOD international conference on Management of data, pp. 1147-1149. 2007.

14. Hwang, Heasoo, Vagelis Hristidis, and Yannis Papakonstantinou. "Objectrank: a system for authority-based search on databases." In Proceedings of the 2006 ACM SIGMOD international conference on Management of data, pp. 796-798. 2006.