| 2026 | KDD | Can LLM-based Financial Investing Strategies Outperform the Market in Long Run? | Weixian Waylon Li, Hyeonjun Kim, Mihai Cucuringu, Tiejun Ma |
| 2024 | ECAI | SaGess: A Sampling Graph Denoising Diffusion Model for Scalable Graph Generation. | Stratis Limnios, Praveen Selvaraj, Mihai Cucuringu, Carsten Maple, Gesine Reinert, Andrew Elliott |
| 2024 | ICLR | Robust Angular Synchronization via Directed Graph Neural Networks. | Yixuan He, Gesine Reinert, David Wipf, Mihai Cucuringu |
| 2023 | AAAI | Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models. | Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu |
| 2022 | ICML | GNNRank: Learning Global Rankings from Pairwise Comparisons via Directed Graph Neural Networks. | Yixuan He, Quan Gan, David Wipf, Gesine D. Reinert, Junchi Yan, Mihai Cucuringu |
| 2022 | SDM | SSSNET: Semi-Supervised Signed Network Clustering. | Yixuan He, Gesine Reinert, Songchao Wang, Mihai Cucuringu |
| 2020 | AISTATS | Hermitian matrices for clustering directed graphs: insights and applications. | Mihai Cucuringu, Huan Li, He Sun, Luca Zanetti |
| 2019 | AISTATS | SPONGE: A generalized eigenproblem for clustering signed networks. | Mihai Cucuringu, Peter Davies, Aldo Glielmo, Hemant Tyagi |
| 2019 | RANLP | Mining the UK Web Archive for Semantic Change Detection. | Adam Tsakalidis, Marya Bazzi, Mihai Cucuringu, Pierpaolo Basile, Barbara McGillivray |
| 2018 | AISTATS | On denoising modulo 1 samples of a function. | Mihai Cucuringu, Hemant Tyagi |
| 2016 | AISTATS | Simple and Scalable Constrained Clustering: a Generalized Spectral Method. | Mihai Cucuringu, Ioannis Koutis, Sanjay Chawla, Gary L. Miller, Richard Peng |