Salim, Flora D.

16 publications

ICLR 2026 DRIFT-Net: A Spectral-Coupled Neural Operator for PDEs Learning Jiayi Li, Flora D. Salim

NeurIPS 2025 Bisecle: Binding and Separation in Continual Learning for Video Language Understanding Yue Tan, Xiaoqian Hu, Hao Xue, Celso M de Melo, Flora D. Salim

NeurIPS 2025 Boosting Resilience of Large Language Models Through Causality-Driven Robust Optimization Xiaoling Zhou, Mingjie Zhang, Zhemg Lee, Yuncheng Hua, Chengli Xing, Wei Ye, Flora D. Salim, Shikun Zhang

TMLR 2025 ODEStream: A Buffer-Free Online Learning Framework with ODE-Based Adaptor for Streaming Time Series Forecasting Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim

ICLR 2024 AttEXplore: Attribution for Explanation with Model Parameters eXploration Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim

ECML-PKDD 2024 Boosting Patient Representation Learning via Graph Contrastive Learning Zhenhao Zhang, Yuxi Liu, Jiang Bian, Antonio Jimeno-Yepes, Jun Shen, Fuyi Li, Guodong Long, Flora D. Salim

NeurIPS 2024 Building Timeseries Dataset: Empowering Large-Scale Building Analytics Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim

JAIR 2024 Detecting Change Intervals with Isolation Distributional Kernel Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li

IJCAI 2024 Detecting Change Intervalswith Isolation Distributional Kernel (Abstract Reprint) Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li

ECML-PKDD 2024 Long-Term Fairness in Ride-Hailing Platform Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie

TMLR 2024 SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim

ECML-PKDD 2023 Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim

ECML-PKDD 2023 Contrastive Learning-Based Imputation-Prediction Networks for In-Hospital Mortality Risk Modeling Using EHRs Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno-Yepes

CVPRW 2023 SCONE-GAN: Semantic Contrastive Learning-Based Generative Adversarial Network for an End-to-End Image Translation Iman Abbasnejad, Fabio Zambetta, Flora D. Salim, Timothy Wiley, Jeffrey Chan, Russell Gallagher, Ehsan Abbasnejad

AAAI 2022 Event-Aware Multimodal Mobility Nowcasting Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki

IJCAI 2022 Long-Term Spatio-Temporal Forecasting via Dynamic Multiple-Graph Attention Wei Shao, Zhiling Jin, Shuo Wang, Yufan Kang, Xiao Xiao, Hamid Menouar, Zhaofeng Zhang, Junshan Zhang, Flora D. Salim