Pan, Deng

9 publications

IJCAI 2025 Fast Explanations via Policy Gradient-Optimized Explainer Deng Pan, Nuno Moniz, Nitesh V. Chawla

IJCAI 2025 Leveraging Artificial Intelligence to Bridge Gaps in Pediatric Oncology Care for Marginalized Spanish-Speaking Communities Grigorii Khvatskii, Angélica García-Martínez, Deng Pan, Matthew Belcher, Gerónimo Medrano Loera, Dayana Pineda Pérez, Juan Emmanuel Ferrari Muñoz-Ledo, Horacio Márquez-González, Nuno Moniz, Nitesh V. Chawla

AAAI 2023 Learning Compact Features via In-Training Representation Alignment Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu

IJCAI 2023 Negative Flux Aggregation to Estimate Feature Attributions Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu

NeurIPS 2022 AttCAT: Explaining Transformers via Attentive Class Activation Tokens Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu

IJCAI 2021 Explaining Deep Neural Network Models with Adversarial Gradient Integration Deng Pan, Xin Li, Dongxiao Zhu

AAAI 2021 Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu

IJCAI 2020 Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu

AAAI 2020 On the Learning Property of Logistic and SoftMax Losses for Deep Neural Networks Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu