| 2026 | WCNC | Adversarial Training: Enhancing Out-of-Distribution Generalization for Learning Wireless Resource Allocation. | Shengjie Liu, Chenyang Yang |
| 2025 | ICCV | Resolution Revolution: A Physics-Guided Deep Learning Framework for Spatiotemporal Temperature Reconstruction. | Shengjie Liu, Lu Zhang, Siqin Wang |
| 2024 | AAAI | SwitchTab: Switched Autoencoders Are Effective Tabular Learners. | Jing Wu, Suiyao Chen, Qi Zhao, Renat Sergazinov, Chen Li, Shengjie Liu, Chongchao Zhao, Tianpei Xie, Hanqing Guo, Cheng Ji, Daniel Cociorva, Hakan Brunzell |
| 2024 | IGARSS | Using Time-Series Satellite Imagery to Detect Artificial Light At Night: the Case of Luojia-1 and International Space Station. | Shengjie Liu, Chu Wing So, Chun Shing Jason Pun |
| 2024 | WCNC | Learning User Scheduling and Hybrid Precoding with Sequential Graph Neural Network. | Shengjie Liu, Chenyang Yang |
| 2023 | ICASSP | WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels. | Shengjie Liu, Chuang Zhu, Yuan Li, Wenqi Tang |
| 2023 | ICIG | Human Action Recognition Method Based on Spatio-temporal Relationship. | Haigang Yu, Ning He, Shengjie Liu, Wenjing Han |
| 2023 | IGARSS | Using Multi-Source Data to Capture the Impacts of Earth Hour 2021: A Case Study of Hong Kong. | Shengjie Liu, Chu Wing So, Xiang Feng Foo, Chun Shing Jason Pun |
| 2023 | IGARSS | Using High-Resolution Nighttime Remote Sensing Data to Identify Light Sources in Hong Kong. | Shengjie Liu, Chu Wing So, Hung Chak Ho, Qian Shi, Chun Shing Jason Pun |
| 2022 | CVPR | BCI: Breast Cancer Immunohistochemical Image Generation through Pyramid Pix2pix. | Shengjie Liu, Chuang Zhu, Feng Xu, Xinyu Jia, Zhongyue Shi, Mulan Jin |
| 2022 | GLOBECOM | Learning Hybrid Precoding Efficiently for mmWave Systems with Mathematical Properties. | Shengjie Liu, Jia Guo, Chenyang Yang |
| 2022 | IGARSS | Estimating PM2.5 and PM10 on Zhuhai-1 Hyperspectral Imagery. | Shengjie Liu, Qian Shi |
| 2021 | IGARSS | Multi-Label Local Climate Zone Mapping as Scene Classification Using Very High Resolution Imagery: Preliminary Result of Hong Kong. | Shengjie Liu, Qian Shi |
| 2021 | IGARSS | Analyzing Long-Term Artificial Light at Night Using Viirs Monthly Product with Land Use Data: Preliminary Result of Hong Kong. | Shengjie Liu, Chu Wing So, Chun Shing Jason Pun |
| 2018 | IGARSS | Wide Contextual Residual Network with Active Learning for Remote Sensing Image Classification. | Shengjie Liu, Haowen Luo, Ying Tu, Zhi He, Jun Li |