Xin Li

Affiliations:
  • Wayne State University, Computer Science Department, Detroit, MI, USA


According to our database1, Xin Li authored at least 15 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
Negative Flux Aggregation to Estimate Feature Attributions.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Learning Compact Features via In-Training Representation Alignment.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System.
CoRR, 2022

AttCAT: Explaining Transformers via Attentive Class Activation Tokens.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Defending Against Adversarial Attacks On Medical Imaging Ai System, Classification Or Detection?
Proceedings of the 18th IEEE International Symposium on Biomedical Imaging, 2021

Explaining Deep Neural Network Models with Adversarial Gradient Integration.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray.
CoRR, 2020

Improve SGD Training via Aligning Mini-batches.
CoRR, 2020

Robust Detection of Adversarial Attacks on Medical Images.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2020

On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Vispi: Automatic Visual Perception and Interpretation of Chest X-rays.
CoRR, 2019


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