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2020 – today
- 2024
[c9]Yao Qiang
, Chengyin Li, Prashant Khanduri, Dongxiao Zhu:
Fairness-Aware Vision Transformer via Debiased Self-Attention. ECCV (37) 2024: 358-376- [c8]Mohammad Peivandi, Jason Zhang, Michael Lu, Chengyin Li, Dongxiao Zhu, Zhifeng Kou:
Evaluation of the Segment Anything Model (SAM) for Brain Tumor Segmentation. ISBI 2024: 1-4 - [i11]Chengyin Li, Hui Zhu, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Kundan Thind, Dongxiao Zhu:
MulModSeg: Enhancing Unpaired Multi-Modal Medical Image Segmentation with Modality-Conditioned Text Embedding and Alternating Training. CoRR abs/2411.15576 (2024) - 2023
- [c7]Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu:
Negative Flux Aggregation to Estimate Feature Attributions. IJCAI 2023: 446-454 - [c6]Chengyin Li, Yao Qiang, Rafi Ibn Sultan, Hassan Bagher-Ebadian, Prashant Khanduri, Indrin J. Chetty, Dongxiao Zhu:
FocalUNETR: A Focal Transformer for Boundary-Aware Prostate Segmentation Using CT Images. MICCAI (3) 2023: 592-602 - [i10]Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu:
Negative Flux Aggregation to Estimate Feature Attributions. CoRR abs/2301.06989 (2023) - [i9]Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu:
Fairness-aware Vision Transformer via Debiased Self-Attention. CoRR abs/2301.13803 (2023) - [i8]Chengyin Li, Prashant Khanduri, Yao Qiang, Rafi Ibn Sultan, Indrin J. Chetty, Dongxiao Zhu:
Auto-Prompting SAM for Mobile Friendly 3D Medical Image Segmentation. CoRR abs/2308.14936 (2023) - [i7]Yao Qiang, Chengyin Li, Prashant Khanduri, Dongxiao Zhu:
Interpretability-Aware Vision Transformer. CoRR abs/2309.08035 (2023) - [i6]Rafi Ibn Sultan, Chengyin Li, Hui Zhu, Prashant Khanduri, Marco Brocanelli, Dongxiao Zhu:
GeoSAM: Fine-tuning SAM with Sparse and Dense Visual Prompting for Automated Segmentation of Mobility Infrastructure. CoRR abs/2311.11319 (2023) - [i5]Prashant Khanduri, Chengyin Li, Rafi Ibn Sultan, Yao Qiang, Jörg Kliewer, Dongxiao Zhu:
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning. CoRR abs/2311.12652 (2023) - 2022
- [c5]Yao Qiang, Chengyin Li, Marco Brocanelli, Dongxiao Zhu:
Counterfactual Interpolation Augmentation (CIA): A Unified Approach to Enhance Fairness and Explainability of DNN. IJCAI 2022: 732-739 - [c4]Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu:
AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS 2022 - [c3]Chengyin Li, Zheng Dong, Nathan Fisher, Dongxiao Zhu:
Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation. ECML/PKDD (4) 2022: 3-19 - [i4]Xin Li, Yao Qiang, Chengyin Li, Sijia Liu, Dongxiao Zhu:
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System. CoRR abs/2209.04326 (2022) - [i3]Chengyin Li, Hassan Bagher-Ebadian, Vikram Goddla, Indrin J. Chetty, Dongxiao Zhu:
FocalUNETR: A Focal Transformer for Boundary-aware Segmentation of CT Images. CoRR abs/2210.03189 (2022) - [i2]Chengyin Li, Zheng Dong, Nathan Fisher, Dongxiao Zhu:
Coupling User Preference with External Rewards to Enable Driver-centered and Resource-aware EV Charging Recommendation. CoRR abs/2210.12693 (2022) - 2021
- [c2]Chengyin Li, Qian Qu, Wenpeng Gao, Xin Xiao, Pingliang Yuan, Xuyang Wang:
Heterogeneous network selection strategy based on power wireless communication system. HP3C 2021: 1-6 - 2020
- [c1]Xin Li, Chengyin Li, Dongxiao Zhu:
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays. BIBM 2020: 1063-1067 - [i1]Xin Li, Chengyin Li, Dongxiao Zhu:
COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray. CoRR abs/2004.03042 (2020)
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