| 2025 | PERCOM | A Real-Time FPGA-Based Edge Computing Approach for Pedestrian Trajectory Prediction. | Wen-Hui Chen, Zong-Hua Ho, Yu-Chen Lin |
| 2023 | CoDIT | A Pre-Distillation Strategy for Object Detection Task. | Yu-Chen Lin, Wen-Hui Chen, Hung-Cheng Chen, Chia-Hung Wang |
| 2020 | DCAI | A Lightweight Pedestrian Detection Model for Edge Computing Systems. | Wen-Hui Chen, Han-Yang Kuo, Yu-Chen Lin, Cheng-Han Tsai |
| 2020 | SMC | Self-Attention Networks for Human Activity Recognition Using Wearable Devices. | Carlos Andres Betancourt Baca, Wen-Hui Chen, Chi-Wei Kuan |
| 2020 | VEHITS | Integrating Multiscale Deformable Part Models and Convolutional Networks for Pedestrian Detection. | Wen-Hui Chen, Chi-Wei Kuan, Chuan-Cho Chiang |
| 2017 | HealthCom | LSTM-RNNs combined with scene information for human activity recognition. | Wen-Hui Chen, Carlos Andres Betancourt Baca, Chih-Hao Tou |
| 2017 | HealthCom | An ensemble approach to activity recognition based on binary sensor readings. | Wen-Hui Chen, Yiran Chen |
| 2016 | IECON | Hybrid predictive current-mode control for power factor corrector with on-line parameter tuning. | Jian-Fu Chen, Yen-Shin Lai, Wen-Shyue Chen, Wen-Hui Chen |
| 2015 | SEKE | Application of Slow Intelligence Framework for Smart Pet Care System Design. | Shi-Kuo Chang, Wen-Hui Chen, Wen-Chyi Lin, Christopher Lee Thomas |
| 2014 | SEKE | Applications of Slow Intelligence Frameworks for Energy-Saving Control. | Wen-Hui Chen, Shi-Kuo Chang, Wen-Ping Hung |
| 2013 | SEKE | Swimming Activity Recognition Based on Slow Intelligence Systems. | Wen-Hui Chen, Shi-Kuo Chang |
| 2012 | EANN | A Double Layer Dementia Diagnosis System Using Machine Learning Techniques. | Po-Chuan Cho, Wen-Hui Chen |
| 2007 | ISCAS | A 3.8-Gb/s CMOS Laser Driver with Automatic Power Control Using Thermistors. | Day-Uei Li, Wen-Hui Chen, Long-Xi Chang, Chueh-Hao Yu |