| 2025 | ICLR | Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation. | Rong Tang, Lizhen Lin, Yun Yang |
| 2024 | AISTATS | Adaptivity of Diffusion Models to Manifold Structures. | Rong Tang, Yun Yang |
| 2023 | AISTATS | Minimax Nonparametric Two-Sample Test under Adversarial Losses. | Rong Tang, Yun Yang |
| 2021 | COLT | On Empirical Bayes Variational Autoencoder: An Excess Risk Bound. | Rong Tang, Yun Yang |
| 2017 | ISKE | Ego-clustering based propagation prediction of time series in social networks. | Fei Teng, Rong Tang, Tianrui Li |
| 2010 | DASFAA | An MDL Approach to Efficiently Discover Communities in Bipartite Network. | Kaikuo Xu, Changjie Tang, Chuan Li, Yexi Jiang, Rong Tang |
| 2008 | ADMA | Mining Supplemental Frequent Patterns. | Yintian Liu, Yingming Liu, Tao Zeng, Kaikuo Xu, Rong Tang |
| 2008 | ADMA | A Comparative Study of Correlation Measurements for Searching Similar Tags. | Kaikuo Xu, Yu Chen, Yexi Jiang, Rong Tang, Yintian Liu, Jie Gong |
| 2008 | ICNC | Application of Gene Expression Programming to Real Parameter Optimization. | Kaikuo Xu, Changjie Tang, Rong Tang, Yintian Liu, Jie Zuo, Jun Zhu |
| 2004 | IV | Visualizing Interdisciplinary Citations to and from Information and Library Science Publications. | Rong Tang |
| 2003 | NAACL | Automatically Predicting Information Quality in News Documents. | Rong Tang, Kwong Bor Ng, Tomek Strzalkowski, Paul B. Kantor |
| 2001 | Group | Towards an optimal resolution to information overload: an infomediary approach. | Jinwon Ho, Rong Tang |