| 2026 | AAAI | OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting. | Sisuo Lyu, Siru Zhong, Weilin Ruan, Qingxiang Liu, Qingsong Wen, Hui Xiong, Yuxuan Liang |
| 2026 | ACL | Augur: Modeling Covariate Causal Associations in Time Series via Large Language Models. | Zhiqing Cui, Binwu Wang, Qingxiang Liu, Yeqiang Wang, Zhengyang Zhou, Yuxuan Liang, Yang Wang |
| 2025 | AAAI | Personalized Federated Learning for Spatio-Temporal Forecasting: A Dual Semantic Alignment-Based Contrastive Approach. | Qingxiang Liu, Sheng Sun, Yuxuan Liang, Min Liu, Jingjing Xue |
| 2025 | IECON | Physics-Informed Neural Network for DC Solid State Transformers in DC Microgrids. | Yu Zeng, Josep Pou, Guibin Zou, Huamin Jie, Ziheng Xiao, Ezequiel Rodriguez, Qingxiang Liu, Zhige Yuan, Yuan Gao |
| 2024 | IECON | Investigation of Radial Force Harmonics Reduction in Consequent-Pole Permanent Magnet Vernier Motors by Current Harmonic Injection. | Candra Adi Wiguna, Yanlei Yu, Yu Zeng, Qingxiang Liu, Josep Pou, James Wang Ming, Armen Baronian, Huanqing Sun, Christopher H. T. Lee |
| 2023 | IECON | Low-Capacitance Static Compensators: Prospects and Challenges. | Ong Jing Xian, Qingxiang Liu, Ezequiel Rodriguez, Glen G. Farivar, Josep Pou |
| 2022 | IECON | Decoupled Discontinuous Modulation for Cascaded H-Bridge StatCom with Star Configuration. | Qingxiang Liu, Ezequiel Rodriguez, Glen G. Farivar, Josep Pou, Christopher David Townsend, Ramon Leyva |
| 2019 | TrustCom | Uncertainty-Aware Resource Provisioning for Workflow Scheduling in Edge Computing Environment. | Hao Cao, Xiaolong Xu, Qingxiang Liu, Yuan Xue, Lianyong Qi |