카이스트 황지영 Big Data Intelligence Lab @ KAIST

SELECTED PUBLICATIONS
  • ‡Equal Contribution, * Corresponding Author
  • Beneath the Facade: Probing Safety Vulnerabilities in LLMs via Auto-Generated Jailbreak Prompts
  • H. Kim, K. Lee, and J. J. Whang*
  • Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP), 2025.
    Download: [link] [paper] [bibtex] [slides] [poster] [code]
  • Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs
  • J. Lee and J. J. Whang*
  • International Conference on Machine Learning (ICML), 2025.
    Download: [link] [paper] [bibtex] [poster] [code]
  • Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion
  • M. Hwang, J. Lee, and J. J. Whang*
  • International Conference on Machine Learning (ICML), 2025.
    Download: [link] [paper] [bibtex] [poster]
  • Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks against GNN-Based Fraud Detectors
  • J. Choi, H. Kim, and J. J. Whang*
  • AAAI Conference on Artificial Intelligence (AAAI), 2025.
    Download: [link] [paper] [arXiv] [bibtex] [slides] [poster] [code]
  • Unifying Inductive, Cross-Domain, and Multimodal Learning for Robust and Generalizable Recommendation
  • C. Chung, K. Lee, S. Park, and J. J. Whang*
  • Multimodal Generative Search and Recommendation (MMGenSR) Workshop at Conference on Information and Knowledge Management (CIKM), 2025.
    Download: [arXiv] [bibtex] [code]
  • SAIF: A Comprehensive Framework for Evaluating the Risks of Generative AI in the Public Sector
  • K. Lee, H. Kim, and J. J. Whang*
  • AI for Public Missions (AIPM) Workshop at AAAI Conference on Artificial Intelligence (AAAI), 2025.
    Download: [arXiv] [bibtex]
  • Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise
  • G. Hong‡, J. Kim‡, J. Kang‡, S. Myaeng, and J. J. Whang*
  • Findings of the Association for Computational Linguistics: NAACL (Findings of NAACL), 2024.
    Download: [link] [paper] [bibtex] [arXiv] [slides] [poster] [code]
  • SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
  • J. Choi, H. Kim, M. An, and J. J. Whang*
  • Spatio-Temporal Reasoning and Learning (STRL) Workshop at International Joint Conference on Artificial Intelligence (IJCAI), 2024.
    Download: [link] [paper] [arXiv] [bibtex] [slides] [code] [youtube]
  • VISTA: Visual-Textual Knowledge Graph Representation Learning
  • J. Lee, C. Chung, H. Lee, S. Jo, and J. J. Whang*
  • Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2023.
    Download: [link] [paper] [bibtex] [slides] [poster] [code] [youtube]
  • FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4
  • J. Kim‡, G. Hong‡, S. Myaeng, and J. J. Whang*
  • Findings of Empirical Methods in Natural Language Processing (Findings of EMNLP), 2023.
    Download: [link] [paper] [bibtex] [poster] [code]
  • Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection
  • H. Kim, J. Choi, and J. J. Whang*
  • Machine Learning on Graphs (MLoG) Workshop at IEEE International Conference on Data Mining (ICDM), 2023.
    Download: [link] [paper] [arXiv] [bibtex] [poster] [code]
  • Semantic Grasping via a Knowledge Graph of Robotic Manipulation: A Graph Representation Learning Approach
  • J. H. Kwak‡, J. Lee‡, J. J. Whang*, and S. Jo*
  • IEEE Robotics and Automation Letters (RA-L), 2022.
    Also accepted to IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022.
    Download: [link] [paper] [bibtex] [slides] [demo] [youtube]
  • HiddenCPG: Large-Scale Vulnerable Clone Detection Using Subgraph Isomorphism of Code Property Graphs
  • S. Wi, S. Woo, J. J. Whang, and S. Son*
  • The ACM Web Conference (TheWebConf, formerly known as WWW), 2022.
    Download: [link] [paper] [bibtex] [slides]
  • Image-based Lifelogging: User Emotion Perspective
  • J. Bum, H. Choo, and J. J. Whang*
  • Computers, Materials & Continua, 2021.
    Download: [link] [paper] [bibtex]
  • Sentiment-based Sub-event Segmentation and Key Photo Selection
  • J. Bum, J. J. Whang*, and H. Choo*
  • Journal of Visual Communication and Image Representation, 2021.
    Download: [link] [paper] [bibtex]
  • MEGA: Multi-View Semi-Supervised Clustering of Hypergraphs
  • J. J. Whang, R. Du, S. Jung, G. Lee, B. Drake, Q. Liu, S. Kang, and H. Park
  • International Conference on Very Large Data Bases (VLDB), 2020.
    Download: [link] [paper] [bibtex] [slides] [code] [video]
  • Sparse Probabilistic K-means
  • Y. M. Jung, J. J. Whang, and S. Yun*
  • Applied Mathematics and Computation, 2020.
    Download: [link] [paper] [bibtex]
  • Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection
  • J. J. Whang*, Y. Jung, S. Kang, D. Yoo, and I. S. Dhillon
  • Workshop on CyberSafety: Computational Methods in Online Misbehavior at the Web Conference (TheWebConf, formerly known as WWW), 2020.
    Download: [link] [paper] [bibtex] [slides] [code]
  • Hyperlink Classification via Structured Graph Embedding
  • G. Lee, S. Kang, and J. J. Whang*
  • International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2019.
    Download: [link] [paper] [bibtex] [slides] [poster] [code]
  • Non-exhaustive, Overlapping Clustering
  • J. J. Whang*‡, Y. Hou‡, D. F. Gleich, and I. S. Dhillon
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019.
    Download: [link] [paper] [bibtex] [slides] [code]
  • SmartGrip: Grip Sensing System for Commodity Mobile Devices through Sound Signals
  • N. Kim, J. Lee, J. J. Whang, and J. Lee*
  • Personal and Ubiquitous Computing, 2019.
    Download: [link] [paper] [bibtex]
  • Fast Asynchronous Anti-TrustRank for Web Spam Detection
  • J. J. Whang*, Y. S. Jeong, I. S. Dhillon, S. Kang, and J. Lee
  • Workshop on MIS2: Misinformation and Misbehavior Mining on the Web at ACM International Conference on Web Search and Data Mining (WSDM), 2018.
    Download: [paper] [bibtex] [poster]
  • Non-Exhaustive, Overlapping Co-Clustering
  • J. J. Whang* and I. S. Dhillon
  • ACM Conference on Information and Knowledge Management (CIKM), 2017.
    Download: [link] [paper] [arXiv] [poster] [bibtex] [code]
  • An extended version is available at arXiv.
  • An Empirical Study of Community Overlap: Ground-truth, Algorithmic Solutions, and Implications
  • J. J. Whang*
  • ACM Conference on Information and Knowledge Management (CIKM), 2017.
    Download: [link] [paper] [bibtex] [poster]
  • Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering
  • Y. Hou, J. J. Whang, D. F. Gleich, and I. S. Dhillon
  • SIAM International Conference on Data Mining (SDM), 2016.
    Download: [link] [paper] [bibtex]
  • Overlapping Community Detection Using Neighborhood-Inflated Seed Expansion
  • J. J. Whang*, D. F. Gleich, and I. S. Dhillon
  • IEEE Transactions on Knowledge and Data Engineering (TKDE), 2016.
    Download: [link] [paper] [bibtex] [code]
  • Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming
  • Y. Hou‡, J. J. Whang‡, D. F. Gleich, and I. S. Dhillon
  • ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2015.
    Download: [link] [paper] [bibtex] [slides] [poster]
  • Scalable Data-driven PageRank: Algorithms, System Issues, and Lessons Learned
  • J. J. Whang, A. Lenharth, I. S. Dhillon, and K. Pingali
  • International European Conference on Parallel and Distributed Computing (Euro-Par), 2015.
    Download: [link] [paper] [bibtex]
  • Non-exhaustive, Overlapping k-means
  • J. J. Whang, I. S. Dhillon, and D. F. Gleich
  • SIAM International Conference on Data Mining (SDM), 2015.
    Download: [link] [paper] [bibtex] [poster] [code]
  • Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing
  • J. J. Whang, P. Rai, and I. S. Dhillon
  • IEEE International Conference on Data Mining (ICDM), 2013.
    Download: [link] [paper] [bibtex] [slides]
  • Overlapping Community Detection Using Seed Set Expansion
  • J. J. Whang, D. F. Gleich, and I. S. Dhillon
  • ACM Conference on Information and Knowledge Management (CIKM), 2013.
    Download: [link] [paper] [bibtex] [slides] [code]
  • Scalable and Memory-Efficient Clustering of Large-Scale Social Networks
  • J. J. Whang, X. Sui, and I. S. Dhillon
  • IEEE International Conference on Data Mining (ICDM), 2012.
    Download: [link] [paper] [bibtex] [slides]
  • Scalable Clustering of Signed Networks using Balance Normalized Cut
  • K. Chiang, J. J. Whang, and I. S. Dhillon
  • ACM Conference on Information and Knowledge Management (CIKM), 2012.
    Download: [link] [paper] [bibtex] [slides]
  • Parallel Clustered Low-rank Approximation of Graphs and Its Application to Link Prediction
  • X. Sui, T. Lee, J. J. Whang, B. Savas, S. Jain, K. Pingali, and I. S. Dhillon
  • International Workshop on Languages and Compilers for Parallel Computing (LCPC), 2012.
    Download: [link] [paper] [bibtex] [slides]

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KAIST 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea

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