Aodong Li - RankMe

18 papers A* 5A 1Journal 10Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AgentSM: Semantic Memory for Agentic Text-to-SQL. CoRR Asim Biswal, Chuan Lei, Xiao Qin, Aodong Li, Balakrishnan Narayanaswamy, Tim Kraska
2026	A*	`conf`	Probabilistic Hash Embeddings for Online Learning of Categorical Features. AAAI Aodong Li, Abishek Sankararaman, Balakrishnan Narayanaswamy
2025	A	`conf`	Learning from Noisy Data Using Pretrained Vision-Language Representations. ICME Yuqi Liao, Aodong Li, Yisha Chen, Qianfang Xu, Jiarui Xie, Anxin Li, Bo Xiao
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`	Probabilistic Hash Embeddings for Online Learning of Categorical Features. CoRR Aodong Li, Abishek Sankararaman, Balakrishnan Narayanaswamy
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	—	`—`	Deep Anomaly Detection and Distribution Shifts Aodong Li
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	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	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
2021	A*	`conf`	Detecting and Adapting to Irregular Distribution Shifts in Bayesian Online Learning. NeurIPS Aodong Li, Alex Boyd, Padhraic Smyth, Stephan Mandt
2020	J	`jnl`	Variational Beam Search for Online Learning with Distribution Shifts. CoRR Aodong Li, Alex Boyd, Padhraic Smyth, Stephan Mandt
2017	J	`jnl`	Enhanced Neural Machine Translation by Learning from Draft. CoRR Aodong Li, Shiyue Zhang, Dong Wang, Thomas Fang Zheng
2017	—	`conf`	Enhanced neural machine translation by learning from draft. APSIPA Aodong Li, Shiyue Zhang, Dong Wang, Thomas Fang Zheng