International Conferences

Jiwon Son*, Jaeyoon Kim*, Taekin Kim, Yeon-Chang Lee, and Sang-Wook Kim , “CATER: A Cluster-Based Alternative-Term Recommendation Framework for Large-ScaleWeb Search at NAVER,” In Proc. of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDD'25), PP. Toronto, Ontario, Canada, Aug. 3-7, 2025 (ACM KDD - BK IF=4 / top conference in data science, full paper)

Yeon-Chang Lee, JaeHyun Lee, Michiharu Yamashita, Dongwon Lee, and Sang-Wook Kim , “CAPER: Enhancing Career Trajectory Prediction using Temporal Knowledge Graph and Ternary Relationship,” In Proc. of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDD'25), PP. Toronto, Ontario, Canada, Aug. 3-7, 2025 (ACM KDD - BK IF=4 / top conference in data science, full paper)

Jeong-Min Park, Myung-Hwan Jang, Duck-Ho Bae, and Sang-Wook Kim, “RealGraph GPU++ : A GPU-Based Graph Engine with Direct Storage-to-DM IO”, KISM 2024, Busan, 2024.11.11 – 2024.11.15. (KISM / poster)

Min-Jeong Kim, Yeon-Chang Lee, and Sang-Wook Kim, “PolarDSN: An Inductive Approach to Learning the Evolution of Network Polarization in Dynamic Signed Networks,” In Proc. of the 33rd ACM International Conference on Information and Knowledge Management (ACM CIKM), pp. Boise, Idaho, USA, October 21-25 2024 (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Dong-hyuk Seo, Jaehwan Lim, Won-Yong Shin, and Sang-Wook Kim, “Leveraging Trustworthy Node Attributes for Effective Network Alignment,” In Proc. of the 33rd ACM International Conference on Information and Knowledge Management (ACM CIKM), pp. Boise, Idaho, USA, October 21-25 2024 (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Neng Kai Nigel Neo*, Yeon-Chang Lee*, Yiqiao Jin, Sang-Wook Kim, and Srijan Kumar, “Towards Fair Graph Anomaly Detection:Problem, Benchmark Datasets, and Evaluation,“ In Proc. of the 33rd ACM International Conference on Information and Knowledge Management (ACM CIKM), pp. Boise, Idaho, USA, October 21-25 2024 (*co-first authors with equal contribution) (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Dong-hyuk Seo*, Jiwon Son*, Namhyuk Kim, Won-Yong Shin and Sang-Wook Kim, “Empowering Traffic Speed Prediction with Auxiliary Feature-Aided Dependency Learning,“ In Proc. of the 33rd ACM International Conference on Information and Knowledge Management (ACM CIKM), pp. Boise, Idaho, USA, October 21-25 2024 (*co-first authors with equal contribution) (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Jeong-Min Park, Myung-Hwan Jang, and Sang-Wook Kim, “RealGraphGPUWeb: A Convenient and Efficient GPU-based Graph Analysis Platform on the Web,” In Companion Proceedings of the ACM Web Conference 2024 (ACM WWW), pp. , Singapore Management University, Singapore, May 13-17 2024 (ACM WWW - BK IF=4 / top conference in data science, demo paper)

Jeong-Min Park, Myung-Hwan Jang, Duck-Ho Bae, and Sang-Wook Kim, “RealGraphGPU++: A High-Performance GPU-based Graph Engine with Direct Storage-to-DM IO,” In Companion Proceedings of the ACM Web Conference 2024 (ACM WWW), pp. , Singapore Management University, Singapore, May 13-17 2024 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Hong-Kyun Bae*, Hae-Ri Jang*, Yang-Sae Moon, and Sang-Wook Kim, “Item-Ranking Promotion in Recommender Systems,” In Companion Proceedings of the ACM Web Conference 2024 (ACM WWW), pp. , Singapore Management University, Singapore, May 13-17 2024. (*co-first authors with equal contribution) (ACM WWW - BK IF=4 / top conference in data science, short paper)

Jeewon Ahn, Hong-Kyun Bae, and Sang-Wook Kim, “Is the 'Impression Log' Beneficial to Evaluating News Recommender Systems? No, it is Not!,” In Companion Proceedings of the ACM Web Conference 2024 (ACM WWW), pp. , Singapore Management University, Singapore, May 13-17 2024 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Hong-Kyun Bae*, Yebeen Kim*, Hyunjoon Kim, and Sang-Wook Kim, “Negative Sampling in Next-POI Recommendations: Observation, Approach, and Evaluation,” In Proc. of the ACM Web Conference (ACM WWW), Singapore, May 13-17 2024. (*co-first authors with equal contribution) (ACM WWW - BK IF=4 / top conference in data science, full paper)

David Y. Kang, Qiaozhu Mei, and Sang-Wook Kim, “Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss,” In Proc. of the ACM Web Conference (ACM WWW), Singapore, May 13-17 2024 (ACM WWW - BK IF=4 / top conference in data science, full paper)

Taeri Kim*, Jiho Heo*, Hongil Kim*, Kijung Shin, and Sang-Wook Kim, “VITA: 'Carefully Chosen and Weighted Less' Is Better in Medication Recommendation,” In Proc. of the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI), 38(8), pp.8600-8607, Vancouver, Canada, February 20-27 2024. (*co-first authors with equal contribution), (AAAI - BK IF=4 / top conference in data science, full paper)

Masoud Reyhani Hamedani, Jin-Su Ryu, and Sang-Wook Kim, “Random-walk-based or Similarity-based Methods, Which is Better for Directed Graph Embedding?”, In Proc. of the 11th IEEE International Conference on Big Data and Smart Computing (IEEE BigComp), pp. Bangkok, Thailand, February 18-21 2024 (IEEE BigComp / full paper)

Yungi Kim*, Taeri Kim*, Won-Yong Shin, and Sang-Wook Kim, “MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation,” In Proc. of the 17th ACM Int'l Conf. on Web Search and Data Mining (ACM WSDM), pp. 332–340, Mérida, México, March 4-8 2024. (*co-first authors with equal contribution) (ACM WSDM - BK IF=3 / top conference in data science, full paper)

Youngseung Jeon, Jaehoon Kim, Sohyun Park, Yunyong Ko, Seongeun Ryu, Sang-Wook Kim, and Kyungsik Han, “HearHere: Mitigating Echo Chambers In News Consumption through an AI-based Web System,” In Proceedings of the 27th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (ACM CSCW), pp. , San José, Costa Rica, November 9-13 2024 (ACM CSCW - BK IF=3 / top conference in data science, full paper)

Ikhyeon Jo, Myung-Hwan Jang, and Sang-Wook Kim, “SIMD Optimization for Improving the Performance of a CPU-Based Graph Engine”, In Proc. of Korean International Semiconductor Conference on Manufacturing Technology (KISM), pp. , Busan, November 19-23 2023 (KISM / presentation only)

Jeong-Min Park, Myung-Hwan Jang, and Sang-Wook Kim, “IO Optimization Strategies for a GPU-Based Graph Engine with HighPerformance Storage”, In Proc. of Korean International Semiconductor Conference on Manufacturing Technology (KISM), pp. , Busan, November 19-23 2023 (KISM / presentation only)

Myung-Hwan Jang*, Yunyong Ko*, Hyuck-Moo Gwon, Ikhyeon Jo, Yongjun Park, and Sang-Wook Kim, “SAGE: A Storage-Based Approach for Scalable and Efficient Sparse Generalized Matrix-Matrix Multiplication,” In Proc. of the 32nd ACM International Conference on Information and Knowledge Management (ACM CIKM), pp. , University of Birmingham and Eastside Rooms, UK, October 21-25 2023 (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Masoud Reyhani Hamedani, Jin-Su Ryu, and Sang-Wook Kim, “ELTRA: An Embedding Method based on Learning-to-Rank to Preserve Asymmetric Information in Directed Graphs,” In Proc. of the 32nd ACM International Conference on Information and Knowledge Management (ACM CIKM), pp. , University of Birmingham and Eastside Rooms, UK, October 21-25 2023 (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Taeho Kim, Juwon Yu, Won-Yong Shin, Hyunyoung Lee, Ji-hui Im, and Sang-Wook Kim, “LATTE: A Framework for Learning Item-features to Make a Domain-Expert for Effective Conversational Recommendation”, The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (ACM KDD), pp. , Long Beach, CA, USA, August 6-10 2023 (ACM SIGKDD - BK IF=4 / top conference in data science, full paper)

Min-Jeong Kim*, Yeon-Chang Lee*, and Sang-Wook Kim, “TrustSGCN: Learning Trustworthiness on Edge Signs for Effective Signed Graph Convolutional Networks”, In Proc. of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR), pp. , Taipei, Taiwan, July 23-27 2023. (*co-first authors with equal contribution) (ACM SIGIR - BK IF=4 / top conference in data science, short paper)

Myung-Hwan Jang, Jeong-Min Park, Ikhyeon Jo, Duck-Ho Bae, and Sang-Wook Kim, “RealGraph+: A High-Performance Single-Machine-Based Graph Engine that Utilizes IO Bandwidth Effectively”, In Proceedings of the ACM Web Conference 2023 (ACM WWW), pp. 276-279, Texas, USA, April 30-May 04 2023 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Jeewon Ahn*, Hong-Kyun Bae*, and Sang-Wook Kim, “Is the Impression Log Beneficial to Effective Model Training in News Recommender Systems? No, It’s NOT”, In Proceedings of the ACM Web Conference 2023 (ACM WWW), pp. 61-64, Texas, USA, April 30-May 04 2023. (*co-first authors with equal contribution) (ACM WWW - BK IF=4 / top conference in data science, short paper)

Jiwon Hong and Sang-Wook Kim, “C-Affinity: A Novel Similarity Measure for Effective Data Clustering”, In Proceedings of the ACM Web Conference 2023 (ACM WWW), pp. , Texas, USA, April 30-May 04 2023 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Yunyong Ko, Seongeun Ryu, Soeun Han, Youngseung Jeon, Jaehoon Kim, Sohyun Park, Kyungsik Han, Hanghang Tong and Sang-Wook Kim, “KHAN: Knowledge-Aware Hierarchical Attention Networks for Accurate Political Stance Prediction”, In Proceedings of the ACM Web Conference 2023 (ACM WWW), pp. 1572-1583, Texas, USA, April 30-May 04 2023 (ACM WWW - BK IF=4 / top conference in data science, full paper)

Masoud Rehyani Hamedani, JinSu Ryu and Sang-Wook Kim, “GELTOR A Graph Embedding Method based on Listwise Learning to Rank”, In Proceedings of the ACM Web Conference 2023 (ACM WWW), pp. , Texas, USA, April 30-May 04 2023 (ACM WWW - BK IF=4 / top conference in data science, full paper)

Hyunsik Yoo, Yeon-Chang Lee, Kijung Shin and Sang-Wook Kim, “Disentangling Degree-related Biases and Interest for Out-of-Distribution Generalized Directed Network Embedding”, In Proceedings of the ACM Web Conference 2023 (ACM WWW), pp. 231-239, Texas, USA, April 30-May 04 2023 (ACM WWW - BK IF=4 / top conference in data science, full paper)

Taehyeong Park, Seokwon Kang, Myung-Hwan Jang, Sang-Wook Kim, and Yongjun Park, “Orchestrating Large-Scale SpGEMMs using Dynamic Block Distribution and Data Transfer Minimization on Heterogeneous Systems,” In Proc. of the 39th IEEE Int'l. Conf. on Data Engineering (IEEE ICDE), pp. 2456-2469, Anaheim, California, USA, April 3-7 2023 (IEEE ICDE - BK IF=3 / top conference in data science, full paper)

Hong-Kyun Bae, Yeon-Chang Lee, Kyungsik Han, and Sang-Wook Kim, “A Competition-Aware Approach to Accurate TV Show Recommendation,” In Proc. of the 39th IEEE Int'l. Conf. on Data Engineering (IEEE ICDE), pp. 2822-2834, Anaheim, California, USA, April 3-7 2023 (IEEE ICDE - BK IF=3 / top conference in data science, full paper)

Hong-Kyun Bae, Jeewon Ahn, Dongwon Lee, Sang-Wook Kim, “LANCER: A Lifetime-Aware News Recommender System”, In Proc. of the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI), pp. 4141-4148, Washington D.C., USA. February 7-14 2023 (AAAI - BK IF=4 / top conference in data science, full paper)

Myung-Hwan Jang, Yunyong Ko, Dongkyu Jeong, Jeong-Min Park, and Sang-Wook Kim, “A GPU-Based Graph Engine for Large-Scale Network Analysis”, In Proc. of Korean International Semiconductor Conference on Manufacturing Technology (KISM), pp. , Busan, Korea, December 13-16 2022 (KISM / presentation only)

Yeon-Chang Lee*, JaeHyun Lee*, Dongwon Lee, and Sang-Wook Kim, “THOR: Self-Supervised Temporal Knowledge Graph Embedding via Three-Tower Graph Convolutional Networks”, In Proc. of IEEE International Conference on Data Mining (IEEE ICDM), pp. 1035-1040, Orlando, FL, USA, November 28-December 01 2022. (*co-first authors with equal contribution) (IEEE ICDM - BK IF=3 / top conference in data science, short paper)

Taeri Kim*, Noseong Park*, Jiwon Hong, and Sang-Wook Kim, “Phishing URL Detection: A Network-based Approach Robust to Evasion,” In Proc. of the 2022 ACM SIGSAC Conference on Computer and Communications Security (ACM CCS), pp. 1769–1782, Los Angeles, CA, USA, November 7-11 2022. (*co-first authors with equal contribution) (ACM CCS - BK IF=4 / top conference in data science, full paper)

Junho Song, Jiwon Son, Dong-hyuk Seo, Kyungsik Han, Namhyuk Kim, and Sang-Wook Kim, “ST-GAT: A Spatio-Temporal Graph Attention Network for Accurate Traffic Speed Prediction,” In Proc. of the 31st ACM Int'l. Conf. on Information and Knowledge Management (ACM CIKM), pp. 4500–4504, Atlanta, GA, USA, October 17-21 2022 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Myung-Hwan Jang, Yunyong Ko, Dongkyu Jeong, Jeong-Min Park, and Sang-Wook Kim, “RealGraph-GPU: A High-Performance GPU-Based Graph Engine toward Large-Scale Real-World Network Analysis”, In Proc. of the 31st ACM Int'l. Conf. on Information and Knowledge Management (ACM CIKM), pp. 4074–4078, Atlanta, GA, USA, October 17-21 2022 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Taeri Kim*, Yeon-Chang Lee*, Kijung Shin, and Sang-Wook Kim, “MARIO: Modality-Aware Attention and Modality-Preserving Decoders for Multimedia Recommendation”, In Proc. of the 31st ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2022), pp. 993–1002, Atlanta, GA, USA, October 17-21 2022. (*co-first authors with equal contribution) (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Taeho Kim*, Yungi Kim*, Yeon-Chang Lee, Won-Yong Shin, and Sang-Wook Kim, “Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation”, In Proc. of the 31st ACM Int'l. Conf. on Information and Knowledge Management (ACM CIKM), pp. 4138–4142, Atlanta, GA, USA, October 17-21 2022. (*co-first authors with equal contribution) (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Namhyuk Kim*, Dong-Kyu Chae*, Jung Ah Shin, Sang-Wook Kim, Duen Horng Chau, and Sunghwan Park, “Context-aware Traffic Flow Forecasting in New Roads,” In Proc. of the 31st ACM Int'l. Conf. on Information and Knowledge Management (ACM CIKM), pp. 4133–4137, Atlanta, GA, USA, October 17-21 2022. (*co-first authors with equal contribution) (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Hong-Kyun Bae, Jeewon Ahn, and Sang-Wook Kim, “A Comparative Study for State-of-the-Art News Recommendation Methods”, In Proc. of the International Conference on Next Generation Computing (ICNGC), pp. 140-142. Jeju, Korea, October 13-16 2022 (ICNGC / short paper)

Junho Song, Kyungsik Han and Sang-Wook Kim, “I Have No Text in My Post”: Using Visual Hints to Model User Emotions in Social Media,” In Proc. of the ACM Web Conference (ACM WWW), pp. 2888-2896, Lyon, France, April 25-29 2022 (ACM WWW - BK IF=4 / top conference in data science, full paper)

Yunyong Ko, Dongwon Lee and Sang-Wook Kim, “Not All Layer Are Equal: A Layer-Wise Adaptive Approach Toward Large-Scale DNN Training,” In Proc. of the ACM Web Conference (ACM WWW), pp. 1851-1859, Online, April 25-29 2022 (ACM WWW - BK IF=4 / top conference in data science, full paper)

Jiwon Hong, Dong-hyuk Seo, Jeewon Ahn and Sang-Wook Kim, “GraphReformCD: Graph Reformulation for Effective Community Detection in Real-World Graphs”, In Proceedings of the ACM Web Conference 2022 (ACM WWW), pp. 180-183, Lyon, France, April 25-29 2022 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Soeun Han, Yunyong Ko, Yushim Kim, Seong Soo Oh, Heejin Park and Sang-Wook Kim, “D-FEND: A Diffusion-Based Fake News Detection Framework for News Articles Related to COVID-19”, In Proc. of the 37th ACM/SIGAPP Symposium on Applied Computing (ACM SAC), pp. 1771-1778, Virtual Event, April 25-30 2022 (ACM SAC / full paper)

Hongjun Lim*, Yeon-Chang Lee*, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeongjong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You and Sang-Wook Kim, “AiRS: A Large-Scale Recommender System at NAVER News”, In Proc. of the 38th IEEE International Conference on Data Engineering (IEEE ICDE), pp. 3386-3398, Virtual Event, March 9-12 2022. (*co-first authors with equal contribution) (IEEE ICDE - BK IF=3 / top conference in data science, full paper)

Namhyuk Kim*, Junho Song*, Siyoung Lee, Jeawon Choe, Kyungsik Han, Sunghwan Park and Sang-Wook Kim, “APOTS: A Model for Adversarial Prediction of Traffic Speed”, In Proc. of the 38th IEEE International Conference on Data Engineering (IEEE ICDE), pp. 3353 - 3359, Virtual Event, March 9-12 2022. (*co-first authors with equal contribution) (IEEE ICDE - BK IF=3 / top conference in data science, short paper)

Sung-Jun Park*, Dong-Kyu Chae*, Hong-Kyun Bae, Sumin Park and Sang-Wook Kim, “Reinforcement Learning over Sentiment-Augmented Knowledge Graphs towards Accurate and Explainable Recommendation”, In Proc. of the 15th ACM International Conference on Web Search and Data Mining (ACM WSDM), pp. 784-793, Virtual Event, Tempe, Arizona, USA, February 21-25 2022. (*co-first authors with equal contribution) (ACM WSDM - BK IF=3 / top conference in data science, full paper)

Taeyong Kong*, Taeri Kim*, Jinsung Jeon, Jeongwhan Choi, Yeon-Chang Lee, Noseong Park and Sang-Wook Kim, “Linear, or Non-Linear, That is the Question!”, In Proc. of the 15th ACM International Conference on Web Search and Data Mining (ACM WSDM), pp. 517-525, Virtual Event, Tempe, Arizona, USA, February 21-25 2022. (*co-first authors with equal contribution) (ACM WSDM - BK IF=3 / top conference in data science, full paper)

Hyunsik Yoo*, Yeon-Chang Lee*, Kijung Shin and Sang-Wook Kim, “Directed Network Embedding with Virtual Negative Edges”, In Proc. of the 15th ACM International Conference on Web Search and Data Mining (ACM WSDM), pp. 1291-1299 ,Virtual Event, Tempe, Arizona, USA, February 21-25 2022. (*co-first authors with equal contribution) (ACM WSDM - BK IF=3 / top conference in data science, full paper)

Dong-Kyu Chae, Jung Ah Shin and Sang-Wook Kim, “Adaptive Autoencoders Exploiting Content Preference for Accurate Recommendation”, In Proc. of IEEE Big Data and Smart Computing (IEEE BigComp), pp. 292-295, Daegu, Korea, January 17-20 2022 (IEEE BigComp / short paper)

Masoud Reyhani Hamedani and Sang-Wook Kim, “Embedding Methods or Link-based Similarity Measures, Which is Better for Link Prediction?”, In Proc. of the IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), pp. 378-382, December 17-19 2021 (IC-NIDC / full paper)

Eujeanne Kim, Sung-Jun Park, Seokwoo Choi, Dong-Kyu Chae, Sang-Wook Kim, “MANIAC: A Man-Machine Collaborative System for Classifying Malware Author Groups”, In Proc. of the ACM SIGSAC Conference on Computer and Communications Security (ACM CCS), pp. 2441-2443. Virtual Event, Republic of Korea, December 15-19 2021 (ACM CCS - BK IF=4 / top conference in data science, short paper)

Yunyong Ko*, Jae-Seo Yu*, Hong-Kyun Bae, Yongjun Park, Dongwon Lee and Sang-Wook Kim, “MASCOT: A Quantization Framework for Efficient Matrix Factorization in Recommender Systems”, In Proc. of the 21st IEEE International Conference on Data Mining (IEEE ICDM), pp. 290-299, New Zealand, December 7-10 2021. (*co-first authors with equal contribution) (IEEE ICDM - BK IF=3 / top conference in data science, full paper)

Yoonsuk Kang, Woncheol Lee, Yeon-Chang Lee, Kyungsik Han and Sang-Wook Kim, “Adversarial Learning of Balanced Triangles for Accurate Community Detection on Signed Networks”, In Proc. of the 21st IEEE International Conference on Data Mining (IEEE ICDM), pp. 1150-1155, New Zealand, December 7-10 2021 (IEEE ICDM - BK IF=3 / top conference in data science, short paper)

Yunyong Ko, Kibong Choi, Hyunseung Jei, Dongwon Lee and Sang-Wook Kim, “ALADDIN: Asymmetric Centralized Training for Distributed Deep Learning”, In Proc. of the 30th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM), pp. 863-872, ONLINE, December 1-5 2021 (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Masoud Rehyani Hamedani and Sang-Wook Kim, “AdaSim: A Recursive Similarity Measure in Graphs”, In Proc. of the 30th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM), pp. 1528-1537, ONLINE, November 1-5 2021 (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Wonchang Lee*, Yeon-Chang Lee*, Dongwon Lee and Sang-Wook Kim, “Look Before You Leap: Confirming Edge Signs in Random Walk with Restart for Personalized Node Ranking in Signed Networks”, In Proc. of ACM SIGIR International Conference on Research and Development in Information Retrieval (ACM SIGIR), pp. 143-152, Virtual Event, July 11-15 2021. (*co-first authors with equal contribution) (ACM SIGIR - BK IF=4 / top conference in data science, full paper)

Yunyong Ko, Kibong Choi, Jiwon Seo and Sang-Wook Kim, “An In-Depth Analysis of Distributed Training of Deep Neural Networks”, In Proc. of the 35th IEEE Int'l Parallel & Distributed Processing Symposium (IPDPS), pp. 1-10, Portland, Oregon USA, May 17-21 2021 (IPDPS / full paper)

Hyun-Soung You, Ji-Hong Kim, Won-Yong Shin and Sang-Wook Kim, “Location-Aware Caching via Predicting Heterogeneous File Preferences in Mobile Networks”, In Proc. of the IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 336-339, Kassel, Germany, March 22-26 2021 (PerCom - BK IF=3 / top conference in data science, short paper)

Hong-Kyun Bae, Yeon-Chang Lee and Sang-Wook Kim, “TV Show Recommendation: Methods and Evaluation”, In Proc. Int'l Conf. on Convergence Content (ICCC), pp. 413-414, Busan, Korea, November 12-14 2020 (ICCC / short paper)

Won-Seok Hwang, Shaoyu Li, Sang-Wook Kim, and Ho-Jin Choi, “Exploiting Trustors as Well as Trustees in Trust-based Recommendation”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM), pp. 1893-1896, San Francisco, USA, October 27-November 01 2020 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Junho Song, Hyekyoung Park, Kyungsik Han and Sang-Wook Kim, “Do You Really Like Her Post?: Network-Based Analysis for Understanding Like Activities in SNS”, In Proc. of the 29th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM), pp. 2221-2224, ONLINE, October 19-23 2020 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Yoonsuk Kang, Jun Seok Lee, Won-Yong Shin and Sang-Wook Kim, “CR-Graph: Community Reinforcement for Accurate Community Detection”, In Proc. of the 29th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM), pp. 2077-2080, ONLINE, October 19-23 2020 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Yeon-Chang Lee, Nayoun Seo and Sang-Wook Kim, “Are Negative Links Really Beneficial to Network Embedding? In-Depth Analysis and Interesting Results”, In Proc. of the 29th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM), pp. 2113-2116, ONLINE, October 19-23 2020 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Eujeanne Kim, Sung-Jun Park, Dong-Kyu Chae, Seokwoo Choi and Sang-Wook Kim, “A Human-in-the-Loop Approach to Malware Author Classification”, In Proc. of the 29th ACM Int'l Conference on Information and Knowledge Management (ACM CIKM), pp. 3289-3292, ONLINE, October 19-23 2020 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Dong-Kyu Chae, Jin-Soo Kang and Sang-Wook Kim, “Zero-Injection Meets Deep Learning: Boosting the Accuracy of Collaborative Filtering in Top-N Recommendation”, In International Conference on Database Systems for Advanced Applications (DASFAA), pp. 607-620, Jeju, South Korea, September 24-27 2020 (DASFAA / full paper)

Myung-Hwan Jang, Yong-Yeon Jo and Sang-Wook Kim, “RealGraph-Web: A Graph Analysis Platform on the Web”, In Proc. of the 47th International Conference on Very Large Data Bases (VLDB) Demonstration Track, pp. 2775-2778, Copenhagen, Denmark, August 16-October 20 2020 (VLDB - BK IF=4 / top conference in data science, short paper)

Yeon-Chang Lee, Nayoun Seo, Sang-Wook Kim, and Kyungsik Han, “ASiNE: Adversarial Signed Network Embedding”, In Proc. of the 43rd Int'l ACM Conf. on Research and Development in Information Retrieval (ACM SIGIR), pp. 609-618, Virtual Event, July 25-30 2020 (ACM SIGIR - BK IF=4 / top conference in data science, full paper)

Dong-Kyu Chae, Jihoo Kim, Sang-Wook Kim, and Duen Horng Chau, “AR-CF: Augmenting Virtual Users and Items in Collaborative Filtering for Addressing Cold-Start Problems”, In Proc. of the 43rd Int'l ACM Conf. on Research and Development in Information Retrieval (ACM SIGIR), pp. 1251-1260, Virtual Event, July 25-30 2020 (ACM SIGIR - BK IF=4 / top conference in data science, full paper)

JeongMyung Lee, Seokwon Kang, YongSeung Yu, Yong-Yeon Jo, Sang-Wook Kim, and Yongjun Park, “Optimization of a GPU-based Sparse Matrix Multiplication for Large Sparse Networks”, In Proc. of the 36th IEEE Int'l Conf. on Data Engineering (IEEE ICDE), pp. 925-936, Dallas, Texas, USA, April 20-24 2020 (IEEE ICDE - BK IF=3 / top conference in data science, full paper)

Junho Song, Kyungsik Han, Sang-Wook Kim, and Dongwon Lee, “Understanding Emotions in SNS Images From Posters' Perspectives”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 450-457, ONLINE, March 30-April 03 2020 (ACM SAC / full paper)

Sung-Jun Park, Jiwon Hong, Taeri Kim, Sang-Wook Kim, “Malware Classification: Methods and Evaluation”, In Proc. Int'l Conf. on Convergence Content (ICCC), pp. 267-268, Johor, Malaysia, December 19-21 2019 (ICCC / short paper)

Junho Song and Sang-Wook Kim, “Emotion Classification in Social Media Images”, In Proc. Int'l Conf. on Convergence Content (ICCC), pp. 265-266, Johor, Malaysia, December 19-21 2019 (ICCC / short paper)

Jiwon Hong, Sung-Jun Park, Taeri Kim, Yung-Kyun Noh and Sang-Wook Kim, “Malware Classification for Identifying Author Groups: A Graph-based Approach”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS), pp. 169-174, Chongqing, China, September 24-27 2019 (ACM RACS / full paper)

Yushim Kim, Jihong Kim, Seong Soo Oh, Sang-Wook Kim, and Minyoung Ku, “Subgroup Analysis of an Epidemic Response Network of Organizations: 2015 MERS Outbreak in Korea”, In Proc. of the 20th Annual Int'l Conf. on Digital Government Research (DGO), pp. 177-185, Dubai, UAE, June 18-20 2019 (DGO / full paper)

Yushim Kim, Jihong Kim, Seong Soo Oh and Sang-Wook Kim, “Epidemic Response Network of Organizations: Detecting Communities in a Forest with Mushroom-trees and Spider-webs”, 2019 Public Management Research Conference (PMRC), pp. 1-20 (PPT slides), North Carolina, USA, June 12-14 2019 (PMRC / full paper)

Sang-Chul Lee, Sang-Wook Kim, Sunju Park, and Dong-Kyu Chae, “A Tripartite-Graph Based Recommendation Framework for Price-Comparison Services,” (ComSIS), Vol. 16, No. 2, pp. 333-357, June 2019 (ComSIS / short paper)

Yong-Yeon Jo, Myung-Hwan Jang, Sang-Wook Kim, and Sunju Park, “RealGraph: A Graph Engine Leveraging the Power-Law Distribution of Real-World Graphs”, In Proc. of the 28th The Web Conference (ACM WWW), pp. 807-817, San Francisco, CA, USA, May 13-17 2019 (ACM WWW - BK IF=4 / top conference in data science, full paper)

Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim, and Jaeho Choi, “Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering”, In Proc. of the 28th The Web Conference (ACM WWW), pp. 2616-2622, San Francisco, CA, USA, May 13-17 2019 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Kyung-Jae Cho*, Yeon-Chang Lee*, Kyungsik Han, Jaeho Choi and Sang-Wook Kim, “No, That’s Not My Feedback: TV Show Recommendation Using Watchable Interval”, In Proc. of the 35th IEEE Int'l Conf. on Data Engineering (IEEE ICDE), pp. 316-327, Macau SAR, China, April 8-12 2019 (IEEE ICDE - BK IF=3 / top conference in data science, full paper)

Masoud Reyhani Hamedani and Sang-Wook Kim, “Pairwise Normalization in SimRank Variants: Problem, Solution, and Evaluation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 534-541, Limassol, Cyprus, April 8-12 2019 (ACM SAC / full paper)

Suk-Jin Hong, Yun-Yong Ko, Moon-Jeung Joe and Sang-Wook Kim, “Influence Maximization for Effective Advertisement in Social Networks: Problem, Solution, and Evaluation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 1314-1321, Limassol, Cyprus, April 8-12 2019 (ACM SAC / full paper)

Yeon-Chang Lee, Taeho Kim, Janghoi Koo and Sang-Wook Kim, “Pair-wise Approaches to One-Class Collaborative Filtering in Recommender Systems: Methods and Extensive Evaluation”, In Proc. Int'l Conf. on Convergence Content (ICCC), pp. 19-20, Jeju Island, Korea, December 17-19 2018 (ICCC / ???, short paper)

Myung-Hwan Jang, Yong-Yeon Jo and Sang-Wook Kim, “Graph-Based Recommendation on Single-Machine Based Graph Engines: A Performance Study”, In Proc. of the Int'l. Conf. on Fuzzy Theory and Its Applications (iFUZZY), pp. 173-175, Daegu, Korea, November 14-17 2018 (iFUZZY / short paper)

Dong-Kyu Chae, Jin-Soo Kang, Sang-Wook Kim and Jung-Tae Lee, “CFGAN: A Generic Collaborative Filtering Framework based on Generative Adversarial Networks”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM), pp. 137-146, Lingotto, Turin, Italy, October 22-26 2018 (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Dong-Kyu Chae and Sang-Wook Kim, “Adversarial Training of Deep Autoencoders Towards Recommendation Tasks”, In Proc. of the IEEE International Conference on Network Infrastructure and Digital Content (IC-NIDC), pp. 91-95, Guiyang, China, August 22-24 2018 (IC-NIDC / full paper)

Kyungsik Han, Yonggeol Jo, Youngseung Jeon, Bogoan Kim, Junho Song and Sang-Wook Kim, “Photos Don't Have Me, But How Do You Know Me?: Analyzing and Predicting Users on Instagram”, In Proc. of the ACM User Modeling, Adaptation and Personalization “Demos, TOR and Late-breaking Results” Track (ACM UMAP), pp. 251-256, Nanyang Technological University, Singapore, July 8-11 2018 (ACM UMAP / short paper)

Hyekyoung Park, Junho Song, Kyungsik Han and Sang-Wook Kim, “I Like Your Tagged Photos, But Do We Know Each Other?: Analyzing the Role of Tags in Like Networks”, In Proc. of the 12th IEEE Int'l Conference on Web Services (IEEE ICWS), pp. 335-338, San Francisco, USA, July 2-7 2018 (IEEE ICWS / short paper)

Min-Hee Jang, Sang-Wook Kim, Woong-Kee Loh and Jung-Im Won, “Approximate k-Nearest Neighbor Search Based on the Earth Mover’s Distance for Efficient Content-based Information Retrieval“, In Proc. of the 8th International Conference on Web Intelligence, Mining and Semantics (WIMS), pp. 1-7, Novi Sad, Serbia, June 25-27 2018 (WIMS / full paper)

Won-Seok Hwang, Shaoyu Li, Sang-Wook Kim, and Kichun Lee, “Data Imputation Using a Trust Network for Recommendation via Matrix Factorization”, (ComSIS), Vol. 15, No. 2, pp. 347-368, June 2018 (ComSIS / short paper)

Youngnam Lee, Sang-Wook Kim, Sunju Park and Xing Xie, “How to Impute Missing Ratings? Claims, Solution, and Its Application to Collaborative Filtering“, In Proc. of the 27th Int'l World Wide Web Conference (ACM WWW), pp. 783-792, Lyon, France, April 23-27 2018 (ACM WWW - BK IF=4 / top conference in data science, full paper)

Yong-Yeon Jo, Myung-Hwan Jang, Hyungsoo Jung and Sang-Wook Kim, “A High-Performance Graph Engine for Efficient Social Network Analysis”, In Proc. of the 27th Int'l World Wide Web Conference (ACM WWW), pp. 61-62, Lyon, France, April 23-27 2018 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Junho Song, Sungchae Lim and Sang-Wook Kim, “A Novel Join Technique for Similar-Trend Searches supporting Normalization on Time-Series Databases”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 481-486, Pau, France, April 9-13 2018 (ACM SAC / full paper)

Yeon-Chang Lee, Sang-Wook Kim, and Dongwon Lee, “gOCCF: Graph-Theoretic One-Class Collaborative Filtering Based on Uninteresting Items”, In Proc. of Int'l AAAI Conf. on Artificial Intelligence (AAAI), pp. 3448-3456, New Orleans, Louisiana, USA, February 2-7 2018 (AAAI - BK IF=4 / top conference in data science, full paper)

Irfan Ali, Sang-Wook Kim, “On Evaluating the Accuracy of Trust-aware Recommendation Approaches”, In Proc. Int'l Conf. on Convergence Content (ICCC), pp. 367-368, Bangkok, Thailand, December 13-16 2017 (ICCC / short paper)

Irfan Ali, Sang-Wook Kim, “Aggregation in Group Recommendations: Strategies, Evaluation, and Analysis”, In Proc. Int'l Conf. on Convergence Content (ICCC), pp. 209-210, Bangkok, Thailand, December 13-16 2017 (ICCC / short paper)

Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Wan D. Bae and Sang-Wook Kim, “A Framework for Estimating Execution Times of IO Traces on SSDs”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM), pp. 2123-2126, Pan Pacific, Singapore, November 6-10 2017 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Jangwan Koo, Dong-Jin Kim, Dong-Kyu Chae, Sang-Wook Kim, “Incremental Maintenance of C-Rank Scores in Dynamic Web Environment”, In Proc. of IEEE Int‘l Conf. on Systems, Man, and Cybernetics (IEEE SMC), pp. 1570-1574, Banff, Canada, October 5-8 2017 (IEEE SMC / full paper)

Yujin Lee, Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim, “Exploiting Job Transition Patterns for Effective Job Recommendation”, In Proc. of IEEE Int‘l Conf. on Systems, Man, and Cybernetics (IEEE SMC), pp. 2414-2419, Banff, Canada, October 5-8 2017 (IEEE SMC / full paper)

Yong-Yeon Jo, Kyuhwan Lee, Myung-Hwan Jang, Sang-Wook Kim, and Eunjee Song, “Efficient Processing of Large-Scale Sparse Matrix-Matrix Multiplications on a Single Machine”, In Proc. of IEEE Int‘l Conf. on Systems, Man, and Cybernetics (IEEE SMC), pp. 1908-1913, Banff, Canada, October 5-8 2017 (IEEE SMC / full paper)

Dong-Kyu Chae, Bo-Kyum Kim, Seung-Ho Kim and Sang-Wook Kim, “On Classifying Dynamic Graph Bags”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS), pp. 62-66, Krakow, Poland, September 20-23 2017 (ACM RACS / full paper)

Muhammad Umar Chaudhry, Sang-Wook Kim, Jee-Hyong Lee, “An Effective Feature Selection Method using Monte Carlo Search”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS), pp. 44-45, Krakow, Poland, September 20-23 2017 (ACM RACS / short paper)

Yong-Yeon Jo, Myung-Hwan Jang and Sang-Wook Kim, “Efficient Processing of Alternating Least Squares on a Single Machine”, In Proceeding of 7th Int'l Conf. on Emerging Database (EDB), pp. 1-10, Busan, Korea, August 7-9 2017 (EDB / full paper)

Jiwon Hong and Sang-Wook Kim, Mina Rho, YoonHee Choi, Yoonsik Tak, “An Accurate, Efficient, and Scalable Approach to Channel Matching in Smart TVs”, In Proc. of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR), pp. 1025-1028, Tokyo, Japan, August 4-11 2017 (ACM SIGIR - BK IF=4 / top conference in data science, short paper)

Irfan Ali, Jiwon Hong and Sang-Wook Kim, “Exploiting Implicit and Explicit Signed Trust Relationships for Effective Recommendations,“ In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 804-810, Marrakech, Morocco, April 4-6 2017 (ACM SAC / full paper)

Sang-Chul Lee, Christos Faloutsos, Dong-Kyu Chae and Sang-Wook Kim, “On Detecting Frauds in Comparison-Shopping Services,“ In Proc. of the 26th Int'l World Wide Web Conference (ACM WWW), pp. 811-812, Perth, Australia, April 3-7 2017 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Yong-Yeon Jo, Myung-Hwan Jang and Sang-Wook Kim, “Efficient Processing of Alternating Least Squares on a Single Machine”, In Proceeding of 7th Int'l Conf. on Emerging Database (EDB), pp. 1-10, Busan, Korea, April 3-7 2017 (EDB / full paper)

Nayoung Kim, Jiwon Hong, Sang-Wook Kim and Hansung Kim, “Analyzing Suicide-Ideation Survey to Identify High-Risk Groups: A Data Mining Approach”, In Proc. of the Int'l Conf. on Green and Human Information Technology (ICGHIT), pp. 86-88, Hangzhou, China, February 15-17 2017 (ICGHIT / short paper)

Jiwon Hong, Sanghyun Park and Sang-Wook Kim, “On Exploiting Static and Dynamic Features in Malware Classification”, in Proc. of the 1st International Workshop on Internet of Things, Social Network, and Security in Big Data (ISSB), Seoul, Korea, November 17-18 2016 (ISSB / full paper)

Min-Hee Jang, Christos Faloutsos, Sang-Wook Kim, U Kang, and Jiwoon Ha, “PIN-TRUST: Fast Trust Propagation Exploiting Positive, Implicit, and Negative Information,” In Proc. Int’l Conf. on Information and Knowledge Management, (ACM CIKM), pp. 629-638, Indianapolis, USA, October 24-28 2016 (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Yong-Yeon Jo, Jiwon Hong, Myung-Hwan Jang, Jae-Geun Bang and Sang-Wook Kim, “Data Locality in Graph Engines: Implications and Preliminary Experimental Results,” In Proc. Int’l Conf. on Information and Knowledge Management, (ACM CIKM), pp. 1885-1888, Indianapolis, USA, October 24-28 2016 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Kyung-Jae Cho, Yun-Yong Ko and Sang-Wook Kim, “Influence Maximization: Performance Evaluation”, In Proc. Int'l Conf. on Convergence Content (ICCC), pp. 41-42, Okinawa, Japan, October 19-21 2016 (ICCC / full paper)

Min-Hee Jang, Sang-Wook Kim and Jiwoon Ha, “Effectiveness of Reverse Edges and Uncertainty in PIN-TRUST for Trust Prediction”, in the 6th International Conference on Emerging Databases (EDB), pp. 51-55, Jeju Island, Korea, October 17-19 2016 (EDB / full paper)

Yeon-Chang Lee, Jungwan Yeom, Kiburm Song, Jiwoon Ha, Kichun Lee, Jangho Yeo and Sang-Wook Kim, “Recommendation of Research Papers in DBpia: A Hybrid Approach Exploiting Content and Collaborative Data”, In Proc. of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), pp. 2966-2971, Budapest, Hungary, October 9-12 2016 (IEEE SMC / full paper)

Hyung-ook Kim, Jiwoon Ha and Sang-Wook Kim, “An Efficient and Effective Method to Find Uninteresting Items for Accurate Collaborative Filtering”, In Proc. of the IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC), pp. 3725-3731, Budapest, Hungary, October 9-12 2016 (IEEE SMC / full paper)

Sang-Chul Lee, Si-Yong Lee, Dong-Kyu Chae and Sang-Wook Kim, “Scalable Collaborative Filtering Based on Efficient Identification of Similar Users”, In Proc. Int'l Conf. on Network Infrastructure and Digital Content (IC-NIDC), pp. 210-213, Beijing, China, September 23-25 2016. (best paper award) (IC-NIDC / full paper)

Masoud Reyhani Hamedani and Sang-Wook Kim, “SimCC-AT: A Method to Compute Similarity of Scientific Papers with Automatic Parameter Tuning”, In Proc. of the the 39th International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR), pp. 1005-1008, Pisa, Italy, July 17-21 2016 (ACM SIGIR - BK IF=4 / top conference in data science, short paper)

Won-Seok Hwang, Juan Parc, Sang-Wook Kim, Jongwuk Lee, and Dongwon Lee, ““Told You I Didn't Like It”: Exploiting Uninteresting Items for Effective Collaborative Filtering”, In Proc. of the 32nd IEEE Int'l Conf. on Data En gineering (IEEE ICDE), pp. 349-360, Helsinki, Finland, May 16-20 2016 (IEEE ICDE - BK IF=3 / top conference in data science, full paper)

Yun-Yong Ko, Dong-Kyu Chae and Sang-Wook Kim, “Accurate Path-based Methods for Influence Maximization in Social Networks”, In Proc. of the 25th Int'l World Wide Web Conference (ACM WWW), pp. 59-60, Montreal, Canada, April 11-15 2016 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Masoud Reyhani Hamedani and Sang-Wook Kim, “SimRank and Its Variants in Academic Literature Data: Measures and Evaluation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 1102-1107, Pisa, Italy April 4-8 2016 (ACM SAC / full paper)

Yeon-Chang Lee, Jiwon Hong and Sang-Wook Kim, “Job Recommendation in AskStory: Experiences, Methods, and Evaluation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 780-786, Pisa, Italy April 4-8 2016 (ACM SAC / full paper)

Yong-Yeon Jo, SungWoo Cho, Sang-Wook Kim, and Hyunok Oh, “Collaborative Processing of Data-Intensive Algorithms with CPU, Intelligent SSD, and GPU”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 1865-1870, Pisa, Italy April 4-8 2016 (ACM SAC / full paper)

Hee-Jeong Kim, Dong-Kyu Chae, Jongwuk Lee and Sang-Wook Kim, “Analyzing Crowdsourced Promotion Effects in Online Social Networks”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 820-823, Pisa, Italy April 4-8 2016 (ACM SAC / short paper)

Jongwuk Lee, Dongwon Lee and Sang-Wook Kim, “CrowdSky: Crowdsourced Skyline Query Processing”, In Proc. of the 19th International Conference on Extending Database Technology (EDBT), pp. 125-136, Bordeaux, France, March 15-18 2016 (EDBT / full paper)

Yong-Yeon Jo, Moonjun Chung, Sang-Wook Kim, and Hyunok Oh, “Data Mining in Intelligent SSD: Simulator-Based Evaluation”, In Proc. of Big Data and Smart Computing (IEEE BigComp), pp. 123-128, Hong Kong, China, January 18-20 2016 (IEEE BigComp / full paper)

Hyun-Kyo Oh and Sang-Wook Kim, “Robust Features for Trustable Aggregation of Online Ratings,” In Proc. of the 10th International Conference on Ubiquitous Information Management and Communication (ACM IMCOM), Danang, Vietnam, January 4-6 2016 (ACM IMCOM / full paper)

Jiwoon Ha, Hyung-ook Kim and Sang-Wook Kim, “Data Imputation for Accurate Recommendation: A Proposal”, In Proc. Int'l Conf. on Convergence Content (ICCC), pp. 357-358, Kota Kinabalu, Malaysia, December 11-16 2015 (ICCC / short paper)

Yong-Yeon Jo, Sang-Wook Kim, and Duck-Ho Bae, “Efficient Sparse Matrix Multiplication on GPU for Large Social Network Analysis”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM), pp. 1261-1270, Melbourne, Australia, October 19-23 2015 (ACM CIKM - BK IF=3 / top conference in data science, full paper)

Dong-Kyu Chae, Sang-Wook Kim, Seong-Je Cho, and Yesol Kim, “DAAV: Dynamic API Authority Vectors for Detecting Software Theft”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM), pp. 1819-1822, Melbourne, Australia, October 19-23 2015 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Kyosung Jeong, Sang-Wook Kim, and Sung-Chae Lim, “A Flash-aware Buffering Scheme using On-the-fly Redo”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM), pp. 1683-1686, Melbourne, Australia, October 19-23 2015 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Hyun-Kyo Oh, Taehee Lee and Sang-Wook Kim, “Finding Underlying Factors for Reciprocal Trust Formation,” In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS), pp. 86-91, Prague, Czech, October 9-12 2015 (ACM RACS / full paper)

Jiwoon Ha, Soon-Hyoung Kwon and Sang-Wook Kim, “On Recommending Newly Published Academic Papers”, In Proc. of the ACM Conference on Hypertext and Social Media (ACM Hypertext), pp. 329-330, Cyprus, Turkey, September 1-4 2015 (ACM Hypertext / short paper)

Yeon-Chang Lee, Jiwon Hong, Sang-Wook Kim, Sheng Gao and Ji-Yong Hwang, “On Recommending Job Openings”, In Proc. of the ACM Conference on Hypertext and Social Media (ACM Hypertext), pp. 331-332, Cyprus, Turkey, September 1-4 2015 (ACM Hypertext / short paper)

Sang-Chul Lee, Sang-Wook Kim, and SunJu Park, “A Graph-Based Recommendation Framework for Price Comparison Services“, In Proc. of the 24th Int'l World Wide Web Conference (ACM WWW), pp. 59-60, May 18-22 2015 (ACM WWW - BK IF=4 / top conference in data science, poster)

Yong-Yeon Jo, SungWoo Cho, Sang-Wook Kim, Duck-Ho Bae and Hyunok Oh, “On Running Data-Intensive Algorithms with Intelligent SSD and Host CPU: A Collaborative Approach”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 2060-2065, Salamanca, Spain, April 13-17 2015 (ACM SAC / full paper)

Irfan Ali and Sang-Wook Kim, “An Effective Approach to Group Recommendation Based on Belief Propagation”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 1148-1153, Salamanca, Spain, April 13-17 2015 (ACM SAC / full paper)

Irfan Ali and Sang-Wook Kim, “Group Recommendations: Approaches and Evaluation”, In Proc. Int'l Conf. on Ubiquitous Information Management and Communication (ACM ICUIMC), Bali, Indonesia, January 8-10 2015 (ACM ICUIMC / full paper)

Won-Seok Hwang, Jung Park and Sang-Wook Kim, “A Method for Recommending the Latest News Articles via MinHash and LSH”, In Proc. Int'l Conf. on Ubiquitous Information Management and Communication (ACM ICUIMC), Bali, Indonesia, January 8-10 2015 (ACM ICUIMC / full paper)

Saad Sajid Hashmi and Sang-Wook Kim, “Unsupervised Detection of Obfuscated Diverse Attacks in Recommender Systems”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS), pp. 40-45, Baltimore, MD, USA, October 5-8 2014 (ACM RACS / full paper)

Jiwoon Ha, Soon-Hyong Kwon, Sang-Wook Kim, and Dongwon Lee, “Recommendation of Newly Published Research Papers using Belief Propagation”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS), pp. 77-81, Baltimore, MD, USA, October 5-8 2014 (ACM RACS / full paper)

Won-Seok Hwang and Sang-Wook Kim, “Post Ranking in a Blogosphere: Algorithms and Evaluation”, (ACM SIGAPP) Applied Computing Review, Vol. 15, No. 1, pp. 26-32, October 5-8 2014 (ACM SIGAPP / full paper)

Yong-Yeon Jo, Sang-Wook Kim and Duck-Ho Bae, “GPU-based Matrix Multiplication Methods for Social Networks Analysis”, In Proc. of ACM Research in Adaptive and Convergent Systems (ACM RACS), pp. 309-313, Baltimore, MD, USA, October 5-8 2014 (ACM RACS / full paper)

Yoonsuk Kang, Yong-Yeon Jo, Jaehyuk Cha, Sang-Wook Kim, and Young Kyun Shin, “Exploiting the uFLIP Benchmark for Analyzing SSDs Performance” In Proc. Int'l Conf. on Network Infrastructure and Digital Content (IC-NIDC), pp. 458-461, Beijing, China, September 19-21 2014 (IC-NIDC / full paper)

Masoud Reyhani Hamedani, Sang-Wook Kim, “On Computing Similarity in Academic Literature Data: Methods and Evaluation”, In Proc. of the 1st int'l workshop on big data systems and services (BIDASYS), pp. 403-412, Macau SAR, China, June 16-18 2014 (BIDASYS / full paper)

Duck-Ho Bae, Jong-Min Lee, Sang-Wook Kim, Youngjoon Won, and Yong Su Park, “Analyzing Network Privacy Preserving Methods: A Perspective of Social Network Characteristics”, (IEICE Transactions on Information and Systems), Vol. E97-D, No. 6, pp. 1664-1667, June 2014 (IEICE Transactions on Information and Systems / short paper)

Min-Hee Jang, Christos Faloutsos and Sang-Wook Kim “Trust Prediction Using Positive, Implicit, and Negative Information”, In Proc. of the 23th Int'l World Wide Web Conference (ACM WWW), pp. 303-304, Seoul, Korea, April 7-11 2014 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Hyun-Kyo Oh, Yoohan Noh, Sang-Wook Kim, and Sunju Park, “SepaRating: An Approach to Reputation Computation Based on Rating Separation in e-Marketplace”, In Proc. of the 23th Int'l World Wide Web Conference (ACM WWW), pp. 351-352, Seoul, Korea, April 7-11 2014 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Sang-Wook Kim, Seok-Ho Yoon, Ki-Nam Kim and Sunju Park, “Sampling in Online Social Networks“, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 845-849, Gyeongju, Korea, March 24-28 2014 (ACM SAC / full paper)

Seok-Ho Yoon, Ji-Soo Kim, Jiwoon Ha, Sang-Wook Kim, Minsoo Ryu and Ho-Jin Choi, “Reachability Vectors: Features for Link-Based Similarity Measures”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 594-597, Gyeongju, Korea, March 24-28 2014 (ACM SAC / full paper)

Jiwon Hong, Won-Seok Hwang, Jin-Hyung Kim and Sang-Wook Kim, “Context-Aware Music Recommendation in Mobile Smart Devices”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 1463-1468, Gyeongju, Korea, March 24-28 2014 (ACM SAC / full paper)

Dong-Jin Kim, Sang-Chul Lee, Ho-Yong Son, Sang-Wook Kim and Jae Bum Lee, “C-Rank: A Contribution-Based Ranking Approach Exploiting Links and Content”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 908-912, Gyeongju, Korea, March 24-28 2014 (ACM SAC / full paper)

Duck-Ho Bae, Se-Mi Park, Sang-Wook Kim, Ji-Woong Chang, Byeong-Soo Jeong and Jiman Hong, “An Effective Data Clustering Method based on Expected Update Time in Flash Memory Environment”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 1492-1497, Gyeongju, Korea, March 24-28 2014 (ACM SAC / full paper)

Duck-Ho Bae, Seok-Ho Yoon, Tae-Hwan Eom, Jiwoon Ha, Young-Sup Hwang and Sang-Wook Kim, “Computing Paper Similarity based on Latent Dirichlet Allocation”, In Proc. Int'l Conf. on Ubiquitous Information Management and Communication (ACM ICUIMC), Siem Reap, Cambodia, January 9-11 2014 (ACM ICUIMC / short paper)

Dong-Kyu Chae, Jiwoon Ha, Sang-Wook Kim, Boo-Joong Kang, and Eul-Gyu Im, “Software Plagiarism Detection: A Graph-based Approach”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM), pp. 1577-1580, San Francisco, USA, October 27-November 01 2013 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Masoud Reyhani Hamedani, Sang-Chul Lee and Sang-Wook Kim, “On Exploiting Content and Citations Together to Compute Similarity of Scientific Papers”, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM), pp. 1553-1556, San Francisco, USA, October 27-November 01 2013 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Duck-Ho Bae, Jin-Hyung Kim, Sang-Wook Kim, Hyunok Oh, Chanik Park, “Intelligent SSD: A Turbo for Big Data Mining“, In Proc. of ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM 2013), pp. 1573-1576, San Francisco, USA, October 27-November 01 2013 (ACM CIKM - BK IF=3 / top conference in data science, poster)

Jongwuk Lee, Myungha Jang, Dongwon Lee, Won-Seok Hwang, Jiwon Hong and Sang-Wook Kim, “Alleviating the Sparsity in Collaborative Filtering using Crowdsourcing”, In Proc. of Workshop on Crowdsourcing and Human Computation for Recommender Systems (CrowdRec), Hong Kong, October 12-12 2013 (CrowdRec / short paper)

Sang-Chul Lee, Sang-Wook Kim, Sunju Park, and Joon-Ho Lee, “Recommendation in Online Shopping Malls: Results and Experiences”, In Proc. of ACM Int'l Conf. on Research in Applied Computation Symposium (ACM RACS), pp. 116-117, Montreal, QC, Canada, October 1-4 2013 (ACM RACS / short paper)

Masoud Reyhani Hamedani, Sang-Chul Lee and Sang-Wook Kim, “On Combining Text-based and Link-based Similarity Measures for Scientific Papers”, In Proc. of ACM Int'l Conf. on Research in Applied Computation Symposium (ACM RACS), pp. 111-115, Montreal, QC, Canada, October 1-4 2013 (ACM RACS / full paper)

Min-Hee Jang, Tae-Hwan Eom, Sang-Wook Kim and Young-Sup Hwang, “A Semantic Similarity Measure in Document Databases: An Earth Mover's Distance-Based Approach”, In Proc. of ACM Int'l Conf. on Research in Applied Computation Symposium (ACM RACS), pp. 94-99, Montreal, QC, Canada, October 1-4 2013 (ACM RACS / full paper)

Yoonsuk Kang, Yong-Yeon Jo, Duck-Ho Bae and Sang-Wook Kim, “Running Data Mining Algorithms on SSDs” In Proc. Int'l Conf. on Emerging Databases-Technologies, Applications, and Theory (EDB), pp. 180-183, Jeju Island, Korea, August 19-21 2013 (EDB / short paper)

Masoud Reyhani Hamedani, Sang-Chul Lee and Sang-Wook Kim, “Performance Evaluation of Text-based and Linkbased Similarity Measures for Scientific Papers” In Proc. Int'l Conf. on Emerging Databases-Technologies, Applications, and Theory (EDB), pp. 188-191, Jeju Island, Korea, August 19-21 2013 (EDB / short paper)

Dong-Kyu Chae, Jiwoon Ha, Sang-Chul Lee, Sang-Wook Kim, and Gyun Woo, “Software Plagiarism Detection via the Static API Call Frequency Birthmark”, In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 1639-1643, Coimbra, Portugal, May 18-22 2013 (ACM SAC / full paper)

Junghoon Lee, Sang-Wook Kim, and Gyung-Leen Park, “A Tour Recommendation Service for Electric Vehicles Based on a Hybrid Orienteering Model,“ In Proc. of the ACM Symp. on Applied Computing (ACM SAC), pp. 1652-1654, Coimbra, Portugal, May 18-22 2013 (ACM SAC / full paper)

Hyun-Kyo Oh, Jin-Woo Kim, Sang-Wook Kim, and Kichun Lee, “A Probability-Based Trust Prediction Model Using Trust-Message Passing” In Proc. Int'l Conf. on World Wide Web, (ACM WWW). pp. 161-162, Rio de janeiro, Brazil, May 13-17 2013 (ACM WWW - BK IF=4 / top conference in data science, short paper)

Sang-Chul Lee, Yoon-Suk Kang, Seihyun Jeong, Min-Hee Jang, Young-Sup Hwang, Sang-Wook Kim, “Selecting Similar Users in Collaborative Filtering”, In Proc. Int'l Conf. on Green and Human Information Technology, (ICGHIT), pp. 141-144, Hanoi, Vietnam, February 27-March 01 2013 (ICGHIT / short paper)

Sang-Chul Lee, Jeongjin Song, Young-Sup Hwang, Sang-Wook Kim, “Reflecting User's Diversity Tendency in Recommendation Systems”, In Proc. Int'l Conf. on Green and Human Information Technology, (ICGHIT), pp. 137-140, Hanoi, Vietnam, February 27-March 01 2013 (ICGHIT / short paper)

Duck-Ho Bae, Sang-Wook Kim, Ji-Woong Chang, “Record Management Maximizing the Effect of Group Writes in Flash Memory Environment”, In Proc. Int'l Conf. on Green and Human Information Technology, (ICGHIT), pp. 149-152, Hanoi, Vietnam, February 27-March 01 2013 (ICGHIT / short paper)

Duck-Ho Bae, Byeongho Kang, Tae-Hoon Kim, Jong-Min Lee, Young-Sup Hwang, Sang-Wook Kim, “Efficient Team Formation in Expert Networks”, In Proc. Int'l Conf. on Green and Human Information Technology, (ICGHIT), pp. 145-148, Hanoi, Vietnam, February 27-March 01 2013 (ICGHIT / short paper)

Seok-Ho Yoon, Suk-Soon Song, Sang-Chul Lee, Kyo-sung Jeong, Sang-Wook Kim, Sooyong Kang, Yong Suk Choi, Jaehyuk Cha, Minsoo Ryu, and Byung-Soo Jeong, “A Data Partitioning Approach for Hierarchical Clustering”, In Proc. Int'l Conf. on Ubiquitous Information Management and Communication (ACM ICUIMC), Kota Kinabalu, Malaysia, January 17-19 2013 (ACM ICUIMC / short paper)

Jiwoon Ha, Soon-Hyoung Kwon, Sang-Wook Kim, Christos Faloutsos, and Sunju Park, “Top-N Recommendation through Belief Propagation”, In Proc. ACM Int’l Conf. on Information and Knowledge Management (ACM CIKM), pp. 2343-2346, Sheraton, Maui Hawaii, October 29-November 02 2012 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Duck-Ho Bae, Seo Jeong, Sang-Wook Kim, and Minsu Lee, “Outlier Detection using Centrality and Center-Proximity”, In Proc. ACM Int'l Conf. on Information and Knowledge Management (ACM CIKM), pp. 2251-2254, October 29-November 02 2012 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Won-Seok Hwang, Ho-Jong Lee, Sang-Wook Kim, and Minsoo Lee, “On Using Category Experts for Improving the Performance and Accuracy in Recommender Systems”, In Proc. ACM Int’l Conf. on Information and Knowledge Management (ACM CIKM), pp. 2355-2358, Sheraton, Maui Hawaii, October 29-November 02 2012 (ACM CIKM - BK IF=3 / top conference in data science, short paper)

Jum-Im Won, Min-Hee Jang, Sang-Wook Kim, and Jin-Soo Cho, “Hierarchical Data Organization for Effective Retrieval of Similar Shaders”, In Proc. of ACM Int'l Conf. on Research in Applied Computation Symposium (ACM RACS), pp. 43-48, San Antonio, TX, USA, October 23-26 2012 (ACM RACS / full paper)

Hong-jin Kim, Sang-chul Lee, Sang-Wook Kim, and Jiwoon Ha, “User-Profile Based Recommendation for u-Health Contents”, In Proc. Int'l Congress of Oriental Medicine (ICOM), September 14-16 2012 (ICOM / full paper)

Kyu-Hwang Kang, Seung-Hwan Lim, Sang-Wook Kim, Min-Hee Jang, and Byeong-Soo Jeong, “A Topic-Oriented Analysis of Information Diffusion in a Blogosphere”, In Proc. 23th Intl. Workshop on Database and Expert Systems Applications (DEXA), pp. 129-140, Vienna, Austria, September 3-6 2012 (DEXA / full paper)

Sang-Chul Lee, Si-Yong Lee, Sang-Wook Kim, and Jin-Soo Cho, “Indexing in Collaborative Filtering: An Experimental Study”, In Proc. of Int'l Conf. on Emerging Databases-Technologies,Applications and Theory (EDB), pp. 313-316, Seoul, Korea, August 23-25 2012 (EDB / short paper)

Duck-Ho Bae, Sang-Wook Kim, and Ji-Woong Chang, “Container-Based Record Management in SLC NAND Flash Memory,” In Proc. of Int'l Conf. on Emerging Databases-Technologies,Applications and Theory (EDB), pp. 255-258, Seoul, Korea, August 23-25 2012 (EDB / short paper)

Hyun-Kyo Oh, Seok-Ho Yoon, Sang-Wook Kim, and Seungdo Jeong, “Hierarchical Clustering and Outlier Detection for Effective Image Data Organization”, The 6th International Conference on Ubiquitous Information Management and Communication (ACM ICUIMC), Kuala Lumpur, Malaysia, February 20-22 2012 (ACM ICUIMC / short paper)