| 2025 | AAAI | Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors. | Jinhyeok Choi, Heehyeon Kim, Joyce Jiyoung Whang |
| 2025 | EMNLP | Beneath the Facade: Probing Safety Vulnerabilities in LLMs via Auto-Generated Jailbreak Prompts. | Heehyeon Kim, Kyeongryul Lee, Joyce Jiyoung Whang |
| 2025 | ICML | Structure Is All You Need: Structural Representation Learning on Hyper-Relational Knowledge Graphs. | Jaejun Lee, Joyce Jiyoung Whang |
| 2025 | ICML | Stability and Generalization Capability of Subgraph Reasoning Models for Inductive Knowledge Graph Completion. | Minsung Hwang, Jaejun Lee, Joyce Jiyoung Whang |
| 2024 | ICML | PAC-Bayesian Generalization Bounds for Knowledge Graph Representation Learning. | Jaejun Lee, Minsung Hwang, Joyce Jiyoung Whang |
| 2024 | NAACL | Why So Gullible? Enhancing the Robustness of Retrieval-Augmented Models against Counterfactual Noise. | Giwon Hong, Jeonghwan Kim, Junmo Kang, Sung-Hyon Myaeng, Joyce Jiyoung Whang |
| 2023 | AAAI | Learning Representations of Bi-level Knowledge Graphs for Reasoning beyond Link Prediction. | Chanyoung Chung, Joyce Jiyoung Whang |
| 2023 | EMNLP | FinePrompt: Unveiling the Role of Finetuned Inductive Bias on Compositional Reasoning in GPT-4. | Jeonghwan Kim, Giwon Hong, Sung-Hyon Myaeng, Joyce Jiyoung Whang |
| 2023 | EMNLP | VISTA: Visual-Textual Knowledge Graph Representation Learning. | Jaejun Lee, Chanyoung Chung, Hochang Lee, Sungho Jo, Joyce Jiyoung Whang |
| 2023 | ICDM | Dynamic Relation-Attentive Graph Neural Networks for Fraud Detection. | Heehyeon Kim, Jinhyeok Choi, Joyce Jiyoung Whang |
| 2023 | ICML | InGram: Inductive Knowledge Graph Embedding via Relation Graphs. | Jaejun Lee, Chanyoung Chung, Joyce Jiyoung Whang |
| 2023 | KDD | Representation Learning on Hyper-Relational and Numeric Knowledge Graphs with Transformers. | Chanyoung Chung, Jaejun Lee, Joyce Jiyoung Whang |
| 2022 | WWW | HiddenCPG: Large-Scale Vulnerable Clone Detection Using Subgraph Isomorphism of Code Property Graphs. | Seongil Wi, Sijae Woo, Joyce Jiyoung Whang, Sooel Son |
| 2021 | SIGIR | Knowledge Graph Embedding via Metagraph Learning. | Chanyoung Chung, Joyce Jiyoung Whang |
| 2020 | WWW | Scalable Anti-TrustRank with Qualified Site-level Seeds for Link-based Web Spam Detection. | Joyce Jiyoung Whang, Yeonsung Jung, Seonggoo Kang, Dongho Yoo, Inderjit S. Dhillon |
| 2019 | SIGIR | Hyperlink Classification via Structured Graph Embedding. | Geon Lee, Seonggoo Kang, Joyce Jiyoung Whang |
| 2017 | CIKM | An Empirical Study of Community Overlap: Ground-truth, Algorithmic Solutions, and Implications. | Joyce Jiyoung Whang |
| 2017 | CIKM | Non-Exhaustive, Overlapping Co-Clustering. | Joyce Jiyoung Whang, Inderjit S. Dhillon |
| 2016 | SDM | Fast Multiplier Methods to Optimize Non-exhaustive, Overlapping Clustering. | Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon |
| 2015 | EuroPar | Scalable Data-Driven PageRank: Algorithms, System Issues, and Lessons Learned. | Joyce Jiyoung Whang, Andrew Lenharth, Inderjit S. Dhillon, Keshav Pingali |
| 2015 | KDD | Non-exhaustive, Overlapping Clustering via Low-Rank Semidefinite Programming. | Yangyang Hou, Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon |
| 2015 | SDM | Non-exhaustive, Overlapping | Joyce Jiyoung Whang, Inderjit S. Dhillon, David F. Gleich |
| 2013 | CIKM | Overlapping community detection using seed set expansion. | Joyce Jiyoung Whang, David F. Gleich, Inderjit S. Dhillon |
| 2013 | ICDM | Stochastic Blockmodel with Cluster Overlap, Relevance Selection, and Similarity-Based Smoothing. | Joyce Jiyoung Whang, Piyush Rai, Inderjit S. Dhillon |
| 2012 | CIKM | Scalable clustering of signed networks using balance normalized cut. | Kai-Yang Chiang, Joyce Jiyoung Whang, Inderjit S. Dhillon |
| 2012 | ICDM | Scalable and Memory-Efficient Clustering of Large-Scale Social Networks. | Joyce Jiyoung Whang, Xin Sui, Inderjit S. Dhillon |