
Defu Cao
Graduate student @ University of Southern California
change
ml: applications
dmkm: mining of spatial
ml: multimodal learning
snlp: language models
multimedia & multimodal data
time-series/data streams
ml: causal learning
temporal or spatio-temporal data
ru: causality
krr: action
and causality
dmkm: mining of visual
2
presentations
83
number of views
1
citations
SHORT BIO
Defu Cao is a Ph.D. student in Computer Science at the University of Southern California, working with Prof. Yan Liu at the USC Melady Lab. Prior, he earned his Master's Degree at the school of EECS Peking University. Cao is primarily interested in developing machine learning and data mining algorithms that demonstrate a deep understanding of the world with special structures, including time series, spatio-temporal data, and relational data. To this end, his research aims to integrate causal inference, graph neural networks, spectral domain representation, interpretability, and robustness, he is also interested in multi-task learning and pre-training model in the NLP domain. He has published his research in top conference proceedings including AAAI, NeurIPS, ICRA, etc.
Presentations

GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting
Furong Jia and 4 other authors

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders
Defu Cao and 6 other authors