Xin Li

Publication Activity (10 Years)

Years Active: 2019-2023
Publications (10 Years): 21

Top Topics

Chest Radiographs

Robust Detection

Digital X Ray Images

Top Venues

Publications

Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
Negative Flux Aggregation to Estimate Feature Attributions. IJCAI (2023)
Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
Learning Compact Features via In-Training Representation Alignment. AAAI (2023)
Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
Negative Flux Aggregation to Estimate Feature Attributions. CoRR (2023)
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 (2022)
Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
Learning Compact Features via In-Training Representation Alignment. CoRR (2022)
Xin Li, Deng Pan, Dongxiao Zhu
Defending Against Adversarial Attacks On Medical Imaging Ai System, Classification Or Detection? ISBI (2021)
Deng Pan, Xin Li, Dongxiao Zhu
Explaining Deep Neural Network Models with Adversarial Gradient Integration. IJCAI (2021)
Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. AAAI (2021)
Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. AAAI (2020)
Xin Li, Dongxiao Zhu
Robust Detection of Adversarial Attacks on Medical Images. ISBI (2020)
Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu
Improve SGD Training via Aligning Mini-batches. CoRR (2020)
Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu
Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. CoRR (2020)
Xin Li, Chengyin Li, Dongxiao Zhu
COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays. BIBM (2020)
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. CoRR (2020)
Xin Li, Chengyin Li, Dongxiao Zhu
COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray. CoRR (2020)
Yao Qiang, Xin Li, Dongxiao Zhu
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. CoRR (2020)
Xin Li, Deng Pan, Dongxiao Zhu
Defending against adversarial attacks on medical imaging AI system, classification or detection? CoRR (2020)
Yao Qiang, Xin Li, Dongxiao Zhu
Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. IJCNN (2020)
Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. IJCAI (2020)
Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu
On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. CoRR (2020)
Xin Li, Rui Cao, Dongxiao Zhu
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays. CoRR (2019)