| 2023 | ICLR | D4FT: A Deep Learning Approach to Kohn-Sham Density Functional Theory. | Tianbo Li, Min Lin, Zheyuan Hu, Kunhao Zheng, Giovanni Vignale, Kenji Kawaguchi, A. H. Castro Neto, Kostya S. Novoselov, Shuicheng Yan |
| 2023 | ICML | Nonparametric Generative Modeling with Conditional Sliced-Wasserstein Flows. | Chao Du, Tianbo Li, Tianyu Pang, Shuicheng Yan, Min Lin |
| 2021 | IJCNN | Brain Tumor Segmentation based on Knowledge Distillation and Adversarial Training. | Yaqing Hou, Tianbo Li, Qiang Zhang, Hua Yu, Hongwei Ge |
| 2021 | KDD | Mitigating Performance Saturation in Neural Marked Point Processes: Architectures and Loss Functions. | Tianbo Li, Tianze Luo, Yiping Ke, Sinno Jialin Pan |
| 2020 | AAAI | Tweedie-Hawkes Processes: Interpreting the Phenomena of Outbreaks. | Tianbo Li, Yiping Ke |
| 2020 | KDD | Causal Meta-Mediation Analysis: Inferring Dose-Response Function From Summary Statistics of Many Randomized Experiments. | Zenan Wang, Xuan Yin, Tianbo Li, Liangjie Hong |
| 2018 | ICDM | Transfer Hawkes Processes with Content Information. | Tianbo Li, Pengfei Wei, Yiping Ke |