| 2022 | CVPR | Class-wise Thresholding for Robust Out-of-Distribution Detection. | Matteo Guarrera, Baihong Jin, Tung-Wei Lin, Maria A. Zuluaga, Yuxin Chen, Alberto L. Sangiovanni-Vincentelli |
| 2020 | SENSYS | Super-Resolution Reconstruction of Interval Energy Data. | Jieyi Lu, Baihong Jin |
| 2019 | ICANN | MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks. | Dan Li, Dacheng Chen, Baihong Jin, Lei Shi, Jonathan Goh, See-Kiong Ng |
| 2019 | ICMLA | An Encoder-Decoder Based Approach for Anomaly Detection with Application in Additive Manufacturing. | Yingshui Tan, Baihong Jin, Alexander J. Nettekoven, Yuxin Chen, Yisong Yue, Ufuk Topcu, Alberto L. Sangiovanni-Vincentelli |
| 2016 | ISCAS | A fast and accurate approach for common path pessimism removal in static timing analysis. | Baihong Jin, Guojie Luo, Wentai Zhang |
| 2015 | ICMLA | Learning Convex Piecewise Linear Machine for Data-Driven Optimal Control. | Yuxun Zhou, Baihong Jin, Costas J. Spanos |
| 2015 | SENSYS | A Contract-based Framework for Integrated Demand Response Management in Smart Grids. | Baihong Jin, Pierluigi Nuzzo, Mehdi Maasoumy, Yuxun Zhou, Alberto L. Sangiovanni-Vincentelli |