| 2025 | ICASSP | Appearance- and Orientation-aware Fine-grained Rotated Ship Detection in High-Resolution Satellite Imagery. | Yan Li, Lingyi Liu, Yunpeng Bai, Ying Li, Qiang Shen |
| 2023 | RecSys | InTune: Reinforcement Learning-based Data Pipeline Optimization for Deep Recommendation Models. | Kabir Nagrecha, Lingyi Liu, Pablo Delgado, Prasanna Padmanabhan |
| 2014 | VLSID | A Coverage Guided Mining Approach for Automatic Generation of Succinct Assertions. | David Sheridan, Lingyi Liu, Hyungsul Kim, Shobha Vasudevan |
| 2013 | ICCAD | Diagnosing root causes of system level performance violations. | Lingyi Liu, Xuanyu Zhong, Xiaotao Chen, Shobha Vasudevan |
| 2012 | ICCAD | Word level feature discovery to enhance quality of assertion mining. | Lingyi Liu, Chen-Hsuan Lin, Shobha Vasudevan |
| 2011 | DATE | Towards coverage closure: Using GoldMine assertions for generating design validation stimulus. | Lingyi Liu, David Sheridan, William Tuohy, Shobha Vasudevan |
| 2011 | DATE | Efficient validation input generation in RTL by hybridized source code analysis. | Lingyi Liu, Shobha Vasudevan |
| 2011 | FMCAD | Scaling probabilistic timing verification of hardware using abstractions in design source code. | Jayanand Asok Kumar, Lingyi Liu, Shobha Vasudevan |
| 2011 | MEMOCODE | Automatic generation of assertions from system level design using data mining. | Lingyi Liu, David Sheridan, Viraj Athavale, Shobha Vasudevan |