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2020 – today
- 2024
[c18]Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu:
GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. AAAI 2024: 23343-23351- [c17]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 - [c16]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 - [c15]Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu:
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. ICML 2024 - [c14]Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang:
Collaborative Multi-Task Representation for Natural Language Understanding. IJCNN 2024: 1-8 - [c13]Tianjun Yao
, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen:
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. WWW 2024: 709-720 - [i18]Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu:
Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. CoRR abs/2402.05359 (2024) - [i17]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 abs/2402.09099 (2024) - [i16]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 abs/2404.09403 (2024) - [i15]Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen:
MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. CoRR abs/2406.19832 (2024) - [i14]Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu:
An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. CoRR abs/2408.08815 (2024) - [i13]Defu Cao, Wen Ye, Yizhou Zhang, Yan Liu:
TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model. CoRR abs/2409.02322 (2024) - [i12]Wen Ye, Yizhou Zhang, Wei Yang, Lumingyuan Tang, Defu Cao, Jie Cai, Yan Liu:
Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution. CoRR abs/2410.04047 (2024) - 2023
- [c12]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: 6897-6905 - [c11]Defu Cao, Zhaowen Wang, Jose Echevarria, Yan Liu:
SVGformer: Representation Learning for Continuous Vector Graphics using Transformers. CVPR 2023: 10093-10102 - [c10]Defu Cao, Yixiang Zheng, Parisa Hassanzadeh, Simran Lamba, Xiaomo Liu, Yan Liu:
Large Scale Financial Time Series Forecasting with Multi-faceted Model. ICAIF 2023: 472-480 - [c9]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 - [c8]Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu:
Time-delayed Multivariate Time Series Predictions. SDM 2023: 325-333 - [i11]Defu Cao, James Enouen, Yan Liu:
Estimating Treatment Effects in Continuous Time with Hidden Confounders. CoRR abs/2302.09446 (2023) - [i10]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 abs/2303.02304 (2023) - [i9]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 abs/2303.02320 (2023) - [i8]Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, Yan Liu:
Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model. CoRR abs/2304.07633 (2023) - [i7]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 abs/2310.04948 (2023) - 2022
- [c7]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: 107-115 - [c6]Yizhou Zhang, Defu Cao, Yan Liu:
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. NeurIPS 2022 - [c5]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: 68-80 - [i6]Chuizheng Meng, Sungyong Seo, Defu Cao, Sam Griesemer, Yan Liu:
When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. CoRR abs/2203.16797 (2022) - [i5]Yizhou Zhang, Defu Cao, Yan Liu:
Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. CoRR abs/2210.07518 (2022) - [i4]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 abs/2211.11513 (2022) - 2021
- [c4]Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka:
Spectral Temporal Graph Neural Network for Trajectory Prediction. ICRA 2021: 1839-1845 - [i3]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 abs/2103.07719 (2021) - [i2]Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka:
Spectral Temporal Graph Neural Network for Trajectory Prediction. CoRR abs/2106.02930 (2021) - 2020
- [c3]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: 841-850 - [c2]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 - [c1]Defu Cao, Jing Huang, Xuanyu Zhang, Xianhua Liu:
FTCLNet: Convolutional LSTM with Fourier Transform for Vulnerability Detection. TrustCom 2020: 539-546 - [i1]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 abs/2009.02040 (2020)
Coauthor Index
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