Chengyin Li

According to our database, Chengyin Li authored at least 16 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation.

Mohammad Peivandi, Jason Zhang, Michael Lu, Chengyin Li, Dongxiao Zhu, Zhifeng Kou

Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024

2023

FedDRO: Federated Compositional Optimization for Distributionally Robust Learning.

Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Jörg Kliewer, Dongxiao Zhu

CoRR, 2023

GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for Automated Segmentation of Mobility Infrastructure.

Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu

CoRR, 2023

Interpretability-Aware Vision Transformer.

Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu

CoRR, 2023

Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation.

Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin J. Chetty, Dongxiao Zhu

CoRR, 2023

Fairness-aware Vision Transformer via Debiased Self-Attention.

Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu

CoRR, 2023

FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images.

Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Negative Flux Aggregation to Estimate Feature Attributions.

Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images.

Chengyin Li, Hassan Bagher-Ebadian, Vikram Goddla, Indrin J. Chetty, Dongxiao Zhu

CoRR, 2022

Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System.

Xin Li, Yao Qiang, Chengyin Li, Sijia Liu, Dongxiao Zhu

CoRR, 2022

Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation.

Chengyin Li, Zheng Dong, Nathan Fisher, Dongxiao Zhu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

AttCAT: Explaining Transformers via Attentive Class Activation Tokens.

Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN.

Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

2021

Heterogeneous network selection strategy based on power wireless communication system.

Chengyin Li, Qian Qu, Wenpeng Gao, Xin Xiao, Pingliang Yuan, Xuyang Wang

Proceedings of the HP3C 2021: 5th International Conference on High Performance Compilation, Computing and Communications, Guangzhou, China, June 18, 2021

2020

COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray.

Xin Li, Chengyin Li, Dongxiao Zhu

CoRR, 2020

COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays.

Xin Li, Chengyin Li, Dongxiao Zhu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020