Chen Qiu - RankMe

24 papers A* 5A 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data. IEEE Trans. Artif. Intell. Clement Fung, Chen Qiu, Aodong Li, Maja Rudolph
2025	J	`jnl`	Self-Supervised Anomaly Detection With Neural Transformations. IEEE Trans. Pattern Anal. Mach. Intell. Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph
2025	J	`jnl`	Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior. Trans. Mach. Learn. Res. Lorenzo Perini, Maja Rudolph, Sabrina Schmedding, Chen Qiu
2024	J	`jnl`	Anomaly Detection of Tabular Data Using LLMs. CoRR Aodong Li, Yunhan Zhao, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
2024	J	`jnl`	Uncertainty-aware Evaluation of Auxiliary Anomalies with the Expected Anomaly Posterior. CoRR Lorenzo Perini, Maja Rudolph, Sabrina Schmedding, Chen Qiu
2023	A*	`conf`	Deep Anomaly Detection under Labeling Budget Constraints. ICML Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Stephan Mandt, Maja Rudolph
2023	J	`jnl`	Deep Anomaly Detection under Labeling Budget Constraints. CoRR Aodong Li, Chen Qiu, Padhraic Smyth, Marius Kloft, Stephan Mandt, Maja Rudolph
2023	J	`jnl`	Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data. CoRR Clement Fung, Chen Qiu, Aodong Li, Maja Rudolph
2023	—	`—`	Self-Supervised Anomaly Detection with Neural Transformations. Chen Qiu
2023	A*	`conf`	Zero-Shot Anomaly Detection via Batch Normalization. NeurIPS Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
2023	J	`jnl`	Zero-Shot Anomaly Detection without Foundation Models. CoRR Aodong Li, Chen Qiu, Marius Kloft, Padhraic Smyth, Maja Rudolph, Stephan Mandt
2022	J	`jnl`	Detecting Anomalies within Time Series using Local Neural Transformations. CoRR Tim Schneider, Chen Qiu, Marius Kloft, Decky Aspandi-Latif, Steffen Staab, Stephan Mandt, Maja Rudolph
2022	A*	`conf`	Latent Outlier Exposure for Anomaly Detection with Contaminated Data. ICML Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt
2022	J	`jnl`	Latent Outlier Exposure for Anomaly Detection with Contaminated Data. CoRR Chen Qiu, Aodong Li, Marius Kloft, Maja Rudolph, Stephan Mandt
2022	A*	`conf`	Raising the Bar in Graph-level Anomaly Detection. IJCAI Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph
2022	J	`jnl`	Raising the Bar in Graph-level Anomaly Detection. CoRR Chen Qiu, Marius Kloft, Stephan Mandt, Maja Rudolph
2021	J	`jnl`	History Marginalization Improves Forecasting in Variational Recurrent Neural Networks. Entropy Chen Qiu, Stephan Mandt, Maja Rudolph
2021	A*	`conf`	Neural Transformation Learning for Deep Anomaly Detection Beyond Images. ICML Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph
2021	J	`jnl`	Neural Transformation Learning for Deep Anomaly Detection Beyond Images. CoRR Chen Qiu, Timo Pfrommer, Marius Kloft, Stephan Mandt, Maja Rudolph
2021	J	`jnl`	Switching Recurrent Kalman Networks. CoRR Giao Nguyen-Quynh, Philipp Becker, Chen Qiu, Maja Rudolph, Gerhard Neumann
2020	J	`jnl`	Deterministic Inference of Neural Stochastic Differential Equations. CoRR Andreas Look, Chen Qiu, Maja Rudolph, Jan Peters, Melih Kandemir
2020	J	`jnl`	Learning Topometric Semantic Maps from Occupancy Grids. CoRR Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke
2020	J	`jnl`	Variational Dynamic Mixtures. CoRR Chen Qiu, Stephan Mandt, Maja Rudolph
2019	A	`conf`	Learning Topometric Semantic Maps from Occupancy Grids. IROS Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke