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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

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