Hi! I am a third year PhD student of Electrical and Computer Engineering at Purdue University, West Lafayette.
Wei Chen, Zichen Miao, Qiang Qiu, Inner Product-based Neural Network Similarity, NeurIPS (2023) Project Page
Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu: Continual Learning with Filter Atom Swapping, (2022) International Conference on Learning Representations (ICLR)
I Beak, W Chen, Z Zhu, S Samii, R Rajkumar: FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with Kernel-based Duplication, (2022) IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
J Lezama, W Chen, Q Qiu: Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models, (2021) International Conference on Machine Learning (ICML), 6275-6285
I Beak, W Chen, A Venkat, R Rajkumar: Practical Object Detection Using Thermal Infrared Image Sensors, (2021) IEEE Intelligent Vehicles Symposium (IV) workshop
K Bhardwaj, W Chen, R Marculescu: New directions in distributed deep learning: bringing the network at forefront of IoT design, (2020) 57th ACM/IEEE Design Automation Conference (DAC), 1-6
W Chen, K Bhardwaj, R Marculescu: Fedmax: mitigating activation divergence for accurate and communication-efficient federated learning, (2020) ECML PKDD, Lecture Notes in Computer Science, vol 12458. Springer, Cham.