Hanxiao Tan - RankMe

17 papers A 4B 4Journal 8Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Do Point Cloud Models Learn Object Contour Features? IJCNN Hanxiao Tan
2025	A	`conf`	Evaluating Sensitivity Consistency of Explanations. WACV Hanxiao Tan
2024	J	`jnl`	DAM: Diffusion Activation Maximization for 3D Global Explanations. CoRR Hanxiao Tan
2024	B	`conf`	Evaluating Explanation Robustness to Model Pruning. IJCNN Hanxiao Tan
2024	J	`jnl`	Flow AM: Generating Point Cloud Global Explanations by Latent Alignment. CoRR Hanxiao Tan
2023	A	`conf`	Explainability-Aware One Point Attack for Point Cloud Neural Networks. WACV Hanxiao Tan, Helena Kotthaus
2023	—	`conf`	Harnessing Prior Knowledge for Explainable Machine Learning: An Overview. SaTML Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
2023	B	`conf`	Maximum Entropy Baseline for Integrated Gradients. IJCNN Hanxiao Tan
2023	B	`conf`	The Generalizability of Explanations. IJCNN Hanxiao Tan
2023	J	`jnl`	The Generalizability of Explanations. CoRR Hanxiao Tan
2023	A	`conf`	Visualizing Global Explanations of Point Cloud DNNs. WACV Hanxiao Tan
2022	J	`jnl`	Maximum Entropy Baseline for Integrated Gradients. CoRR Hanxiao Tan
2022	A	`conf`	Surrogate Model-Based Explainability Methods for Point Cloud NNs. WACV Hanxiao Tan, Helena Kotthaus
2022	J	`jnl`	Visualizing Global Explanations of Point Cloud DNNs. CoRR Hanxiao Tan
2021	J	`jnl`	Explainability-Aware One Point Attack for Point Cloud Neural Networks. CoRR Hanxiao Tan, Helena Kotthaus
2021	J	`jnl`	Explainable Machine Learning with Prior Knowledge: An Overview. CoRR Katharina Beckh, Sebastian Müller, Matthias Jakobs, Vanessa Toborek, Hanxiao Tan, Raphael Fischer, Pascal Welke, Sebastian Houben, Laura von Rüden
2021	J	`jnl`	Surrogate Model-Based Explainability Methods for Point Cloud NNs. CoRR Hanxiao Tan, Helena Kotthaus