Deng Pan

15 papers A* 7Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2023	A*	`conf`	Learning Compact Features via In-Training Representation Alignment. AAAI Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
2023	A*	`conf`	Negative Flux Aggregation to Estimate Feature Attributions. IJCAI Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
2023	J	`jnl`	Negative Flux Aggregation to Estimate Feature Attributions. CoRR Xin Li, Deng Pan, Chengyin Li, Yao Qiang, Dongxiao Zhu
2022	A*	`conf`	AttCAT: Explaining Transformers via Attentive Class Activation Tokens. NeurIPS Yao Qiang, Deng Pan, Chengyin Li, Xin Li, Rhongho Jang, Dongxiao Zhu
2022	J	`jnl`	Learning Compact Features via In-Training Representation Alignment. CoRR Xin Li, Xiangrui Li, Deng Pan, Yao Qiang, Dongxiao Zhu
2021	—	`conf`	Defending Against Adversarial Attacks On Medical Imaging Ai System, Classification Or Detection? ISBI Xin Li, Deng Pan, Dongxiao Zhu
2021	A*	`conf`	Explaining Deep Neural Network Models with Adversarial Gradient Integration. IJCAI Deng Pan, Xin Li, Dongxiao Zhu
2021	A*	`conf`	Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. AAAI Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu
2020	J	`jnl`	Defending against adversarial attacks on medical imaging AI system, classification or detection? CoRR Xin Li, Deng Pan, Dongxiao Zhu
2020	A*	`conf`	Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. IJCAI Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
2020	J	`jnl`	Explainable Recommendation via Interpretable Feature Mapping and Evaluation of Explainability. CoRR Deng Pan, Xiangrui Li, Xin Li, Dongxiao Zhu
2020	J	`jnl`	Improve SGD Training via Aligning Mini-batches. CoRR Xiangrui Li, Deng Pan, Xin Li, Dongxiao Zhu
2020	J	`jnl`	Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints. CoRR Xin Li, Xiangrui Li, Deng Pan, Dongxiao Zhu
2020	A*	`conf`	On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. AAAI Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu
2020	J	`jnl`	On the Learning Property of Logistic and Softmax Losses for Deep Neural Networks. CoRR Xiangrui Li, Xin Li, Deng Pan, Dongxiao Zhu