Xin Li - RankMe

22 papers A* 7B 1Journal 11Unranked 3

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
2022	J	`jnl`	Saliency Guided Adversarial Training for Learning Generalizable Features with Applications to Medical Imaging Classification System. CoRR Xin Li, Yao Qiang, Chengyin Li, Sijia Liu, 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	—	`conf`	COVID-MobileXpert: On-Device COVID-19 Patient Triage and Follow-up using Chest X-rays. BIBM Xin Li, Chengyin Li, Dongxiao Zhu
2020	J	`jnl`	COVID-MobileXpert: On-Device COVID-19 Screening using Snapshots of Chest X-Ray. CoRR Xin Li, Chengyin Li, 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
2020	—	`conf`	Robust Detection of Adversarial Attacks on Medical Images. ISBI Xin Li, Dongxiao Zhu
2020	B	`conf`	Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. IJCNN Yao Qiang, Xin Li, Dongxiao Zhu
2020	J	`jnl`	Toward Tag-free Aspect Based Sentiment Analysis: A Multiple Attention Network Approach. CoRR Yao Qiang, Xin Li, Dongxiao Zhu
2019	J	`jnl`	Vispi: Automatic Visual Perception and Interpretation of Chest X-rays. CoRR Xin Li, Rui Cao, Dongxiao Zhu