Multivariate Time-series Anomaly Detection via Graph Attention Network. - Hang Zhao; Yujing Wang; Juanyong Duan; Congrui Huang; Defu Cao; Yunhai Tong; Bixiong Xu; Jing Bai 010; Jie Tong; Qi Zhang 066 (ICDM, 2020)

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. - Defu Cao; Yujing Wang; Juanyong Duan; Ce Zhang 001; Xia Zhu; Congrui Huang; Yunhai Tong; Bixiong Xu; Jing Bai 010; Jie Tong; Qi Zhang 066 (NeurIPS, 2020)

FTCLNet: Convolutional LSTM with Fourier Transform for Vulnerability Detection. - Defu Cao; Jing Huang; Xuanyu Zhang; Xianhua Liu 001 (TrustCom, 2020)

Spectral Temporal Graph Neural Network for Trajectory Prediction. - Defu Cao; Jiachen Li 001; Hengbo Ma; Masayoshi Tomizuka (ICRA, 2021)

Enhancing Self-Attention with Knowledge-Assisted Attention Maps. - Jiangang Bai; Yujing Wang; Hong Sun; Ruonan Wu; Tianmeng Yang; Pengfei Tang; Defu Cao; Mingliang Zhang 004; Yunhai Tong; Yaming Yang 001; Jing Bai 010; Ruofei Zhang; et al. (NAACL-HLT, 2022)

Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. - Yizhou Zhang; Defu Cao; Yan Liu 002 (NeurIPS, 2022)

Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. - Hao Niu 001; Chuizheng Meng; Defu Cao; Guillaume Habault; Roberto Legaspi; Shinya Wada; Chihiro Ono; Yan Liu 002 (PAKDD (1), 2022)

When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. - Chuizheng Meng; Sungyong Seo; Defu Cao; Sam Griesemer; Yan Liu 002 (CoRR, 2022)

DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift. - Defu Cao; Yousef El-Laham; Loc Trinh; Svitlana Vyetrenko; Yan Liu 002 (CoRR, 2022)

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. - Defu Cao; James Enouen; Yujing Wang; Xiangchen Song; Chuizheng Meng; Hao Niu 001; Yan Liu 002 (AAAI, 2023)

SVGformer: Representation Learning for Continuous Vector Graphics using Transformers. - Defu Cao; Zhaowen Wang; Jose Echevarria; Yan Liu 002 (CVPR, 2023)

Large Scale Financial Time Series Forecasting with Multi-faceted Model. - Defu Cao; Yixiang Zheng; Parisa Hassanzadeh; Simran Lamba; Xiaomo Liu; Yan Liu 002 (ICAIF, 2023)

Coupled Multiwavelet Operator Learning for Coupled Differential Equations. - Xiongye Xiao; Defu Cao; Ruochen Yang; Gaurav Gupta; Gengshuo Liu; Chenzhong Yin; Radu Balan; Paul Bogdan (ICLR, 2023)

Time-delayed Multivariate Time Series Predictions. - Hao Niu 001; Guillaume Habault; Roberto Legaspi; Chuizheng Meng; Defu Cao; Shinya Wada; Chihiro Ono; Yan Liu 002 (SDM, 2023)

Estimating Treatment Effects in Continuous Time with Hidden Confounders. - Defu Cao; James Enouen; Yan Liu 002 (CoRR, 2023)

Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. - Xiongye Xiao; Defu Cao; Ruochen Yang; Gaurav Gupta; Gengshuo Liu; Chenzhong Yin; Radu Balan; Paul Bogdan (CoRR, 2023)

Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model. - Yizhou Zhang; Loc Trinh; Defu Cao; Zijun Cui; Yan Liu 002 (CoRR, 2023)

GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. - Furong Jia 002; Kevin Wang; Yixiang Zheng; Defu Cao; Yan Liu 002 (AAAI, 2024)

TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. - Defu Cao; Furong Jia 002; Sercan Ö. Arik; Tomas Pfister; Yixiang Zheng; Wen Ye 001; Yan Liu 002 (ICLR, 2024)

Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. - Xiongye Xiao; Gengshuo Liu; Gaurav Gupta; Defu Cao; Shixuan Li; Yaxing Li; Tianqing Fang; Mingxi Cheng; Paul Bogdan (ICLR, 2024)

An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. - Qiang Huang; Chuizheng Meng; Defu Cao; Biwei Huang; Yi Chang 001; Yan Liu 002 (ICML, 2024)

Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting. - Hao Niu 001; Guillaume Habault; Defu Cao; Yizhou Zhang; Roberto Legaspi; Huy Quang Ung; James Enouen; Shinya Wada; Chihiro Ono; Atsunori Minamikawa; Yan Liu 002 (ICMLA, 2024)

Collaborative Multi-Task Representation for Natural Language Understanding. - Yaming Yang 001; Defu Cao; Ming Zeng 009; Jing Yu 007; Xiang Ren; Yunhai Tong; Yujing Wang (IJCNN, 2024)

Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference. - Sam Griesemer; Defu Cao; Zijun Cui; Carolina Osorio; Yan Liu 002 (NeurIPS, 2024)

MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. - Tianjun Yao; Jiaqi Sun; Defu Cao; Kun Zhang 001; Guangyi Chen 002 (WWW, 2024)

Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. - Yizhou Zhang; Lun Du; Defu Cao; Qiang Fu 015; Yan Liu 002 (CoRR, 2024)

Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective. - Xiongye Xiao; Chenyu Zhou; Heng Ping; Defu Cao; Yaxing Li; Yizhuo Zhou; Shixuan Li; Paul Bogdan (CoRR, 2024)

TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model. - Defu Cao; Wen Ye 001; Yizhou Zhang; Yan Liu 002 (CoRR, 2024)

Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution. - Wen Ye 001; Yizhou Zhang; Wei Yang; Lumingyuan Tang; Defu Cao; Jie Cai; Yan Liu 002 (CoRR, 2024)

Creating a Cooperative AI Policymaking Platform through Open Source Collaboration. - Aiden Lewington; Alekhya Vittalam; Anshumaan Singh; Anuja Uppuluri; Arjun Ashok; Ashrith Mandayam Athmaram; Austin Milt; Benjamin Smith; Charlie Weinberger; Chatanya Sarin; Christoph Bergmeir; Cliff Chang; et al. (CoRR, 2024)

Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models. - Xiongye Xiao; Heng Ping; Chenyu Zhou; Defu Cao; Yaxing Li; Yizhuo Zhou; Shixuan Li; Nikos Kanakaris; Paul Bogdan (ICLR, 2025)

MultiverseAD: Enhancing spatial-temporal synchronous attention networks with causal knowledge for multivariate time series anomaly detection. - Xudong Jia 002; Defu Cao; Niangxi Zhuang; Wei Peng 005; Baokang Zhao; Peng Xun; Haojie Li; Chiran Shen (Neural Networks, 2025)

ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models. - Shixuan Li; Wei Yang; Peiyu Zhang 002; Xiongye Xiao; Defu Cao; Yuehan Qin; Xiaole Zhang; Yue Zhao 016; Paul Bogdan (CoRR, 2025)

Foundation Models for Demand Forecasting via Dual-Strategy Ensembling. - Wei Yang; Defu Cao; Yan Liu 002 (CoRR, 2025)

M3OOD: Automatic Selection of Multimodal OOD Detectors. - Yuehan Qin; Li Li 006; Defu Cao; Tiankai Yang 001; Yue Zhao 016 (CoRR, 2025)