카이스트 황지영 Big Data Intelligence Lab @ KAIST

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SELECTED PUBLICATIONS

‡Equal Contribution, * Corresponding Author

PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
J. Lee, M. Hwang, and J. J. Whang*
To appear in International Conference on Machine Learning (ICML), 2024.
Download: [link] [paper] [arXiv] [bibtex] [slides] [poster] [code] [youtube]

SpoT-Mamba: Learning Long-Range Dependency on Spatio-Temporal Graphs with Selective State Spaces
J. Choi, H. Kim, M. An, and J. J. Whang*
To appear in Spatio-Temporal Reasoning and Learning (STRL) Workshop at International Joint Conference on Artificial Intelligence (IJCAI), 2024.
Download: [link] [paper] [arXiv] [bibtex] [slides] [code] [youtube]

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]

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]

Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers
C. Chung^‡, J. Lee^‡, and J. J. Whang*
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023.
Download: [link] [promo] [paper] [arXiv] [bibtex] [slides] [poster] [code] [youtube]

InGram: Inductive Knowledge Graph Embedding via Relation Graphs
J. Lee, C. Chung, and J. J. Whang*
International Conference on Machine Learning (ICML), 2023.
Download: [link] [paper] [arXiv] [bibtex] [slides] [poster] [code] [youtube]

Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction
C. Chung and J. J. Whang*
AAAI Conference on Artificial Intelligence (AAAI), 2023.
Download: [link] [paper] [arXiv] [bibtex] [slides] [poster] [code] [youtube]

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]

Knowledge Graph Embedding via Metagraph Learning
C. Chung and J. J. Whang*
International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2021.
Download: [link] [paper] [bibtex] [slides] [poster] [code] [youtube]

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]

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]

Sparse Probabilistic K-means
Y. M. Jung, J. J. Whang, and S. Yun*
Applied Mathematics and Computation, 2020.
Download: [link] [paper] [bibtex]

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]

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]

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]

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]

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]

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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