Vassilis N. Ioannidis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
10
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL. | Harper Hua, Zhen Han, Zhengyuan Shen, Meng-Chieh Lee, Sheng Guan, Qi Zhu, Sullam Jeoung, Yueyan Chen, Yunfei Bai, Shuai Wang, Vassilis N. Ioannidis, Huzefa Rangwala |
| 2026 | ACL | BoundRL: Efficient Token-level Structured Text Segmentation through Reinforced Boundary Generation. | Haoyuan Li, Zhengyuan Shen, Sullam Jeoung, Yueyan Chen, Jiayu Li, Qi Zhu, Shuai Wang, Vassilis N. Ioannidis, Huzefa Rangwala |
| 2026 | ACL | When LLMs Read Tables Carelessly: Measuring and Reducing Data Referencing Errors. | Yuqing Yang, Qi Zhu, Zhen Han, Boran Han, Zhengyuan Shen, Shuai Wang, Vassilis N. Ioannidis, Huzefa Rangwala |
| 2025 | ACL | HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. | Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos |
| 2025 | EMNLP | GRIL: Knowledge Graph Retrieval-Integrated Learning with Large Language Models. | Jialin Chen, Houyu Zhang, Seongjun Yun, Alejandro Mottini, Rex Ying, Xiang Song, Vassilis N. Ioannidis, Zheng Li, Qingjun Cui |
| 2025 | EMNLP | BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. | Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis |
| 2025 | ICLR | Spectro-Riemannian Graph Neural Networks. | Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos |
| 2025 | KDD | SKnow-LLM Workshop: Structured Knowledge for Large Language Models. | Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala |
| 2025 | KDD | Hierarchical Lexical Graph for Enhanced Multi-Hop Retrieval. | Abdellah Ghassel, Ian Robinson, Gabriel Tanase, Hal Cooper, Bryan Thompson, Zhen Han, Vassilis N. Ioannidis, Soji Adeshina, Huzefa Rangwala |
| 2024 | CIKM | Revisit Orthogonality in Graph-Regularized MLPs. | Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu |
| 2024 | ICLR | BioBridge: Bridging Biomedical Foundation Models via Knowledge Graphs. | Zifeng Wang, Zichen Wang, Balasubramaniam Srinivasan, Vassilis N. Ioannidis, Huzefa Rangwala, Rishita Anubhai |
| 2024 | ICLR | NetInfoF Framework: Measuring and Exploiting Network Usable Information. | Meng-Chieh Lee, Haiyang Yu, Jian Zhang, Vassilis N. Ioannidis, Xiang Song, Soji Adeshina, Da Zheng, Christos Faloutsos |
| 2024 | SIGIR | TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. | Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos |
| 2024 | WSDM | Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. | Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra |
| 2023 | ICLR | Predicting Cellular Responses with Variational Causal Inference and Refined Relational Information. | Yulun Wu, Robert A. Barton, Zichen Wang, Vassilis N. Ioannidis, Carlo De Donno, Layne C. Price, Luis F. Voloch, George Karypis |
| 2023 | KDD | Graph-Aware Language Model Pre-Training on a Large Graph Corpus Can Help Multiple Graph Applications. | Han Xie, Da Zheng, Jun Ma, Houyu Zhang, Vassilis N. Ioannidis, Xiang Song, Qing Ping, Sheng Wang, Carl Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi |
| 2022 | AAAI | TempoQR: Temporal Question Reasoning over Knowledge Graphs. | Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip Ryan Howard, Tetiana Grinberg, Nagib Hakim, George Karypis |
| 2022 | ICLR | Does your graph need a confidence boost? Convergent boosted smoothing on graphs with tabular node features. | Jiuhai Chen, Jonas Mueller, Vassilis N. Ioannidis, Soji Adeshina, Yangkun Wang, Tom Goldstein, David Wipf |
| 2022 | KDD | Graph Neural Networks in Life Sciences: Opportunities and Solutions. | Zichen Wang, Vassilis N. Ioannidis, Huzefa Rangwala, Tatsuya Arai, Ryan Brand, Mufei Li, Yohei Nakayama |
| 2021 | ICASSP | Unveiling Anomalous Nodes Via Random Sampling and Consensus on Graphs. | Vassilis N. Ioannidis, Dimitris Berberidis, Georgios B. Giannakis |
| 2020 | ACSSC | Unveiling Anomalous Edges and Nominal Connectivity of Attributed Networks. | Konstantinos D. Polyzos, Costas Mavromatis, Vassilis N. Ioannidis, Georgios B. Giannakis |
| 2020 | ICASSP | Defending Graph Convolutional Networks Against Adversarial Attacks. | Vassilis N. Ioannidis, Georgios B. Giannakis |
| 2020 | ICASSP | Semi-Supervised Learning of Processes Over Multi-Relational Graphs. | Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis |
| 2020 | ICLR | Pruned Graph Scattering Transforms. | Vassilis N. Ioannidis, Siheng Chen, Georgios B. Giannakis |
| 2019 | ACSSC | Learning Graph Processes with Multiple Dynamical Models. | Qin Lu, Vassilis N. Ioannidis, Georgios B. Giannakis, Mario Coutino |
| 2019 | ICASSP | A Recurrent Graph Neural Network for Multi-relational Data. | Vassilis N. Ioannidis, Antonio G. Marques, Georgios B. Giannakis |
| 2016 | ACSSC | Kernel-based reconstruction of space-time functions via extended graphs. | Vassilis N. Ioannidis, Daniel Romero, Georgios B. Giannakis |
| 2016 | ACSSC | Coupled graph tensor factorization. | Ahmed S. Zamzam, Vassilis N. Ioannidis, Nicholas D. Sidiropoulos |