| 2025 | ICML | Local Identifying Causal Relations in the Presence of Latent Variables. | Zheng Li, Zeyu Liu, Feng Xie, Hao Zhang, Chunchen Liu, Zhi Geng |
| 2025 | ICML | Causal Attribution Analysis for Continuous Outcomes. | Shanshan Luo, Yixuan Yu, Chunchen Liu, Feng Xie, Zhi Geng |
| 2024 | ICML | Policy Learning for Balancing Short-Term and Long-Term Rewards. | Peng Wu, Ziyu Shen, Feng Xie, Zhongyao Wang, Chunchen Liu, Yan Zeng |
| 2024 | ICML | Local Causal Structure Learning in the Presence of Latent Variables. | Feng Xie, Zheng Li, Peng Wu, Yan Zeng, Chunchen Liu, Zhi Geng |
| 2022 | AAAI | A Hybrid Causal Structure Learning Algorithm for Mixed-Type Data. | Yan Li, Rui Xia, Chunchen Liu, Liang Sun |
| 2018 | IJCAI | Mixed Causal Structure Discovery with Application to Prescriptive Pricing. | Wenjuan Wei, Lu Feng, Chunchen Liu |
| 2017 | SAC | Resource constrained real-time lane-vehicle detection for advanced driver assistance on mobile devices. | Tianchen Wang, Kangli Hao, Chunchen Liu, Yiyu Shi |
| 2016 | ICDM | Streaming Model Selection via Online Factorized Asymptotic Bayesian Inference. | Chunchen Liu, Lu Feng, Ryohei Fujimaki |
| 2015 | ICML | Scalable Model Selection for Large-Scale Factorial Relational Models. | Chunchen Liu, Lu Feng, Ryohei Fujimaki, Yusuke Muraoka |
| 2008 | ICCD | Temperature-aware clock tree synthesis considering spatiotemporal hot spot correlations. | Chunchen Liu, Junjie Su, Yiyu Shi |
| 2008 | ISCAS | Thermal aware clock synthesis considering stochastic variation and correlations. | Chunchen Liu, Ruei-Xi Chen, Jichang Tan, Sharon Fan, Jeffrey Fan, Kia Makki |
| 2007 | ICCAD | Efficient decoupling capacitance budgeting considering operation and process variations. | Yiyu Shi, Jinjun Xiong, Chunchen Liu, Lei He |