Defu Cao

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 32

Top Topics

Multivariate Time Series

Partial Differential Equations

Vector Graphics

Multifractal Analysis

Top Venues

Publications

Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu
Guiding Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. CoRR (2024)
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. ICLR (2024)
Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. AAAI (2024)
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. CoRR (2024)
Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Paul Bogdan
Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective. CoRR (2024)
Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. WWW (2024)
Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. ICLR (2024)
Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. CoRR (2024)
Defu Cao, Yixiang Zheng, Parisa Hassanzadeh, Simran Lamba, Xiaomo Liu, Yan Liu
Large Scale Financial Time Series Forecasting with Multi-faceted Model. ICAIF (2023)
Defu Cao, Zhaowen Wang, Jose Echevarria, Yan Liu
SVGformer: Representation Learning for Continuous Vector Graphics using Transformers. CVPR (2023)
Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
Neuro-Inspired Hierarchical Multimodal Learning. CoRR (2023)
Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, Yan Liu
Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model. CoRR (2023)
Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. CoRR (2023)
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. CoRR (2023)
Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. CoRR (2023)
Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
Coupled Multiwavelet Operator Learning for Coupled Differential Equations. ICLR (2023)
Defu Cao, James Enouen, Yan Liu
Estimating Treatment Effects in Continuous Time with Hidden Confounders. CoRR (2023)
Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. AAAI (2023)
Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu
Time-delayed Multivariate Time Series Predictions. SDM (2023)
Yizhou Zhang, Defu Cao, Yan Liu
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. CoRR (2022)
Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift. CoRR (2022)
Chuizheng Meng, Sungyong Seo, Defu Cao, Sam Griesemer, Yan Liu
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. CoRR (2022)
Yizhou Zhang, Defu Cao, Yan Liu
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. NeurIPS (2022)
Jiangang Bai, Yujing Wang, Hong Sun, Ruonan Wu, Tianmeng Yang, Pengfei Tang, Defu Cao, Mingliang Zhang, Yunhai Tong, Yaming Yang, Jing Bai, Ruofei Zhang, Hao Sun, Wei Shen
Enhancing Self-Attention with Knowledge-Assisted Attention Maps. NAACL-HLT (2022)
Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) (2022)
Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. CoRR (2021)
Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
Spectral Temporal Graph Neural Network for Trajectory Prediction. CoRR (2021)
Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
Spectral Temporal Graph Neural Network for Trajectory Prediction. ICRA (2021)
Defu Cao, Jing Huang, Xuanyu Zhang, Xianhua Liu
FTCLNet: Convolutional LSTM with Fourier Transform for Vulnerability Detection. TrustCom (2020)
Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
Multivariate Time-series Anomaly Detection via Graph Attention Network. CoRR (2020)
Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. NeurIPS (2020)
Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
Multivariate Time-series Anomaly Detection via Graph Attention Network. ICDM (2020)