Sparse Fine-Tuning of Transformers for Generative Tasks

Wei Chen, Jingxi Yu, Zichen Miao, and Qiang Qiu

International Conference on Computer Vision (ICCV) | Conference

Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models

Zichen Miao, Wei Chen, and Qiang Qiu

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) | Conference

Large Convolutional Model Tuning via Filter Subspace

Wei Chen, Zichen Miao, and Qiang Qiu

International Conference on Learning Representations (ICLR) | Conference

Learning to Customize Text-to-Image Diffusion in Diverse Contexts

Taewook Kim, Wei Chen, and Qiang Qiu

arXiv:2410.10058 | Preprint

Inner Product-based Neural Network Similarity

Wei Chen, Zichen Miao, and Qiang Qiu

Advances in Neural Information Processing Systems (NeurIPS) | Conference

FLAIR: Defense against Model Poisoning Attack in Federated Learning

Atul Sharma, Wei Chen, Joshua Zhao, Qiang Qiu, Saurabh Bagchi, and Somali Chaterji

ACM Asia Conference on Computer and Communications Security | Conference

How to Learn Collaboratively: Federated Learning to Peer-to-Peer Learning and What's at Stake

Atul Sharma, Joshua C. Zhao, Wei Chen, Qiang Qiu, Saurabh Bagchi, and Somali Chaterji

IEEE/IFIP International Conference on Dependable Systems and Networks Workshops | Conference

Continual Learning with Filter Atom Swapping

Zichen Miao, Ze Wang, Wei Chen, and Qiang Qiu

International Conference on Learning Representations (ICLR) | Conference

FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with Kernel-based Duplication

Inyoung Baek, Wei Chen, Ziheng Zhu, Soheil Samii, and Raj Rajkumar

IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) | Conference

Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models

Jose Lezama, Wei Chen, and Qiang Qiu

International Conference on Machine Learning (ICML) | Conference

Practical Object Detection Using Thermal Infrared Image Sensors

Inyoung Baek, Wei Chen, Anirudh Venkat, and Raj Rajkumar

IEEE Intelligent Vehicles Symposium Workshops | Workshop

New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design

Kshitij Bhardwaj, Wei Chen, and Radu Marculescu

ACM/IEEE Design Automation Conference (DAC) | Conference

FedMax: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning

Wei Chen, Kshitij Bhardwaj, and Radu Marculescu

ECML PKDD | Conference