Wei Chen - RankMe

20 papers A* 6A 2Journal 9Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. CVPR Zichen Miao, Wei Chen, Qiang Qiu
2025	J	`jnl`	Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models. CoRR Zichen Miao, Wei Chen, Qiang Qiu
2025	J	`jnl`	Extra Clients at No Extra Cost: Overcome Data Heterogeneity in Federated Learning with Filter Decomposition. CoRR Wei Chen, Qiang Qiu
2025	J	`jnl`	In-Context Compositional Learning via Sparse Coding Transformer. CoRR Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu
2025	A*	`conf`	Large Convolutional Model Tuning via Filter Subspace. ICLR Wei Chen, Zichen Miao, Qiang Qiu
2025	J	`jnl`	Sparse Fine-Tuning of Transformers for Generative Tasks. CoRR Wei Chen, Jingxi Yu, Zichen Miao, Qiang Qiu
2024	J	`jnl`	Large Convolutional Model Tuning via Filter Subspace. CoRR Wei Chen, Zichen Miao, Qiang Qiu
2024	J	`jnl`	Learning to Customize Text-to-Image Diffusion In Diverse Context. CoRR Taewook Kim, Wei Chen, Qiang Qiu
2023	A	`conf`	FLAIR: Defense against Model Poisoning Attack in Federated Learning. AsiaCCS Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Saurabh Bagchi, Somali Chaterji
2023	—	`conf`	How to Learn Collaboratively - Federated Learning to Peer-to-Peer Learning and What's at Stake. DSN-S Atul Sharma, Joshua C. Zhao, Wei Chen, Qiang Qiu, Saurabh Bagchi, Somali Chaterji
2023	A*	`conf`	Inner Product-based Neural Network Similarity. NeurIPS Wei Chen, Zichen Miao, Qiang Qiu
2022	A*	`conf`	Continual Learning with Filter Atom Swapping. ICLR Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu
2022	A	`conf`	FT-DeepNets: Fault-Tolerant Convolutional Neural Networks with Kernel-based Duplication. WACV Iljoo Baek, Wei Chen, Zhihao Zhu, Soheil Samii, Ragunathan Raj Rajkumar
2021	—	`conf`	Practical Object Detection Using Thermal Infrared Image Sensors. IV Workshops Iljoo Baek, Wei Chen, Asish Chakrapani Gumparthi Venkat, Ragunathan Raj Rajkumar
2021	A*	`conf`	Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models. ICML José Lezama, Wei Chen, Qiang Qiu
2021	J	`jnl`	TESSERACT: Gradient Flip Score to Secure Federated Learning Against Model Poisoning Attacks. CoRR Atul Sharma, Wei Chen, Joshua C. Zhao, Qiang Qiu, Somali Chaterji, Saurabh Bagchi
2020	—	`conf`	FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. ECML/PKDD (2) Wei Chen, Kartikeya Bhardwaj, Radu Marculescu
2020	J	`jnl`	FedMAX: Mitigating Activation Divergence for Accurate and Communication-Efficient Federated Learning. CoRR Wei Chen, Kartikeya Bhardwaj, Radu Marculescu
2020	A*	`conf`	INVITED: New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. DAC Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
2020	J	`jnl`	New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design. CoRR Kartikeya Bhardwaj, Wei Chen, Radu Marculescu