Modular adaptive RBF-type neural networks for letter recognition. - Gao Daqi; Chengyin Li; Changwu Li (IJCNN, 2003)

COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays. - Xin Li 081; Chengyin Li; Dongxiao Zhu (BIBM, 2020)

COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray. - Xin Li 081; Chengyin Li; Dongxiao Zhu (CoRR, 2020)

Heterogeneous network selection strategy based on power wireless communication system. - Chengyin Li; Qian Qu; Wenpeng Gao; Xin Xiao; Pingliang Yuan; Xuyang Wang (HP3C, 2021)

Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. - Yao Qiang; Chengyin Li; Marco Brocanelli; Dongxiao Zhu (IJCAI, 2022)

AttCAT: Explaining Transformers via Attentive Class Activation Tokens. - Yao Qiang; Deng Pan 001; Chengyin Li; Xin Li 081; Rhongho Jang; Dongxiao Zhu (NeurIPS, 2022)

Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation. - Chengyin Li; Zheng Dong 002; Nathan Fisher; Dongxiao Zhu (ECML/PKDD (4), 2022)

Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System. - Xin Li 081; Yao Qiang; Chengyin Li; Sijia Liu; Dongxiao Zhu (CoRR, 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)

Negative Flux Aggregation to Estimate Feature Attributions. - Xin Li 081; Deng Pan 001; Chengyin Li; Yao Qiang; Dongxiao Zhu (IJCAI, 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 (MICCAI (3), 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)

Interpretability-Aware Vision Transformer. - Yao Qiang; Chengyin Li; Prashant Khanduri; 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 016; Prashant Khanduri; Marco Brocanelli; Dongxiao Zhu (CoRR, 2023)

FedDRO: Federated Compositional Optimization for Distributionally Robust Learning. - Prashant Khanduri; Chengyin Li; Rafi Ibn Sultan; Yao Qiang; Jörg Kliewer; Dongxiao Zhu (CoRR, 2023)

Fairness-Aware Vision Transformer via Debiased Self-Attention. - Yao Qiang; Chengyin Li; Prashant Khanduri; Dongxiao Zhu (ECCV (37), 2024)

Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation. - Mohammad Peivandi; Jason Zhang; Michael Lu; Chengyin Li; Dongxiao Zhu; Zhifeng Kou (ISBI, 2024)

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training. - Chengyin Li; Hui Zhu 016; Rafi Ibn Sultan; Hassan Bagher-Ebadian; Prashant Khanduri; Indrin J. Chetty; Kundan Thind; Dongxiao Zhu (CoRR, 2024)

AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation. - Chengyin Li; Rafi Ibn Sultan; Prashant Khanduri; Yao Qiang; Chetty J. Indrin; Dongxiao Zhu (WACV, 2025)

MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training. - Chengyin Li; Hui Zhu 016; Rafi Ibn Sultan; Hassan Bagher-Ebadian; Prashant Khanduri; Chetty J. Indrin; Kundan Thind; Dongxiao Zhu (WACV, 2025)

BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image Segmentation. - Rafi Ibn Sultan; Hui Zhu 016; Chengyin Li; Dongxiao Zhu (CoRR, 2025)