2025
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
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
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
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
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
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)
2024
PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning
J. Lee, M. Hwang, and J. J. Whang*
International Conference on Machine Learning (ICML)
2024
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
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)
2023
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
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
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
InGram: Inductive Knowledge Graph Embedding via Relation Graphs
J. Lee, C. Chung, and J. J. Whang*
International Conference on Machine Learning (ICML)
2023
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
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)
2022
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
2022
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
2021
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
Image-based Lifelogging: User Emotion Perspective
J. Bum, H. Choo, and J. J. Whang*
Computers, Materials & Continua
2021
Sentiment-based Sub-event Segmentation and Key Photo Selection
J. Bum, J. J. Whang*, and H. Choo*
Journal of Visual Communication and Image Representation
2020
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
Sparse Probabilistic K-means
Y. M. Jung, J. J. Whang, and S. Yun*
Applied Mathematics and Computation
2020
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
2019
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
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
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
2018
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)
2017
Non-Exhaustive, Overlapping Co-Clustering
J. J. Whang* and I. S. Dhillon
ACM Conference on Information and Knowledge Management (CIKM)
2017
An Empirical Study of Community Overlap: Ground-truth, Algorithmic Solutions, and Implications
J. J. Whang*
ACM Conference on Information and Knowledge Management (CIKM)
2016
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
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)
2015
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
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
Non-exhaustive, Overlapping k-means
J. J. Whang, I. S. Dhillon, and D. F. Gleich
SIAM International Conference on Data Mining (SDM)
2013
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
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)
2012
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
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
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)
