| 2025 | SERA | RoGANDER: A Robust Generative Adversarial Network for Distributed Energy Resources. | Papa Pene, Weixian Liao, Wei Yu, David Griffith |
| 2023 | SERA | Performance of GAN-Based Denoising and Restoration Techniques for Adversarial Face Images. | Turhan Kimbrough, Pu Tian, Weixian Liao, Wei Yu |
| 2022 | INFOCOM | Deep CAPTCHA Recognition Using Encapsulated Preprocessing and Heterogeneous Datasets. | Turhan Kimbrough, Pu Tian, Weixian Liao, Erik Blasch, Wei Yu |
| 2021 | DASC | Towards Scalability of the IoT Search Engine. | Weichao Gao, Cheng Qian, William G. Hatcher, Weixian Liao, Chao Lu, Wei Yu |
| 2021 | DASC | FALIoTSE: Towards Federated Adversarial Learning for IoT Search Engine Resiliency. | Pu Tian, William Grant Hatcher, Weixian Liao, Wei Yu, Erik Blasch |
| 2020 | DASC | Search Engine for Heterogeneous Internet of Things Systems and Optimization. | Cheng Qian, Weichao Gao, William G. Hatcher, Weixian Liao, Chao Lu, Wei Yu |
| 2019 | ACML | Differentially Private Community Detection in Attributed Social Networks. | Tianxi Ji, Changqing Luo, Yifan Guo, Jinlong Ji, Weixian Liao, Pan Li |
| 2019 | ICCCN | Towards Online Deep Learning-Based Energy Forecasting. | Fan Liang, William Grant Hatcher, Guobin Xu, James H. Nguyen, Weixian Liao, Wei Yu |
| 2018 | ACML | Multidimensional Time Series Anomaly Detection: A GRU-based Gaussian Mixture Variational Autoencoder Approach. | Yifan Guo, Weixian Liao, Qianlong Wang, Lixing Yu, Tianxi Ji, Pan Li |
| 2016 | CCS | Efficient Secure Outsourcing of Large-scale Quadratic Programs. | Sergio Salinas, Changqing Luo, Weixian Liao, Pan Li |
| 2016 | HPCC | Efficient Privacy-Preserving Outsourcing of Large-Scale Convex Separable Programming for Smart Cities. | Weixian Liao, Wei Du, Sergio Salinas, Pan Li |
| 2014 | ICDCS | Optimal Energy Cost for Strongly Stable Multi-hop Green Cellular Networks. | Weixian Liao, Ming Li, Sergio Salinas, Pan Li, Miao Pan |