INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. - Kartikeya Bhardwaj; Wei Chen 124; Radu Marculescu (DAC, 2020)

FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. - Wei Chen 124; Kartikeya Bhardwaj; Radu Marculescu (ECML/PKDD (2), 2020)

New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. - Kartikeya Bhardwaj; Wei Chen 124; Radu Marculescu (CoRR, 2020)

Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. - José Lezama; Wei Chen 124; Qiang Qiu 001 (ICML, 2021)

Practical Object Detection Using Thermal Infrared Image Sensors. - Iljoo Baek; Wei Chen 124; Asish Chakrapani Gumparthi Venkat; Ragunathan Raj Rajkumar (IV Workshops, 2021)

TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks. - Atul Sharma; Wei Chen 124; Joshua C. Zhao; Qiang Qiu 001; Somali Chaterji; Saurabh Bagchi (CoRR, 2021)

Continual Learning with Filter Atom Swapping. - Zichen Miao; Ze Wang 008; Wei Chen 124; Qiang Qiu 001 (ICLR, 2022)

FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with Kernel-based Duplication. - Iljoo Baek; Wei Chen 124; Zhihao Zhu; Soheil Samii; Ragunathan Raj Rajkumar (WACV, 2022)

FLAIR: Defense against Model Poisoning Attack in Federated Learning. - Atul Sharma; Wei Chen 124; Joshua C. Zhao; Qiang Qiu 001; Saurabh Bagchi; Somali Chaterji (AsiaCCS, 2023)

How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake. - Atul Sharma; Joshua C. Zhao; Wei Chen 124; Qiang Qiu 001; Saurabh Bagchi; Somali Chaterji (DSN-S, 2023)

Inner Product-based Neural Network Similarity. - Wei Chen 124; Zichen Miao; Qiang Qiu 001 (NeurIPS, 2023)

Learning to Customize Text-to-Image Diffusion In Diverse Context. - Taewook Kim; Wei Chen 124; Qiang Qiu 001 (CoRR, 2024)

Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. - Zichen Miao; Wei Chen 124; Qiang Qiu 001 (CVPR, 2025)

Large Convolutional Model Tuning via Filter Subspace. - Wei Chen 124; Zichen Miao; Qiang Qiu 001 (ICLR, 2025)

Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition. - Wei Chen 124; Qiang Qiu 001 (CoRR, 2025)