Cao, Defu

16 publications

ICLR 2026 Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning Wei Yang, Defu Cao, Jiacheng Pang, Muyan Weng, Yan Liu

ICLR 2026 PINFDiT: Energy-Based Physics-Informed Diffusion Transformers for General-Purpose Time Series Tasks Defu Cao, Wen Ye, Yizhou Zhang, Sam Griesemer, Yan Liu

TMLR 2026 TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis Wen Ye, Wei Yang, Defu Cao, Yizhou Zhang, Lumingyuan Tang, Jie Cai, Yan Liu

ICLR 2025 Neuron-Based Multifractal Analysis of Neuron Interaction Dynamics in Large Models Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yi-Zhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan

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

ICML 2024 An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu

AAAI 2024 GPT4MTS: Prompt-Based Large Language Model for Multimodal Time-Series Forecasting Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu

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 TEMPO: Prompt-Based Generative Pre-Trained Transformer for Time Series Forecasting Defu Cao, Furong Jia, Sercan O Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu

ICMLW 2024 TimeDiT: General-Purpose Diffusion Transformers for Time Series Foundation Model Defu Cao, Wen Ye, Yan Liu

ICLR 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

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

CVPR 2023 SVGformer: Representation Learning for Continuous Vector Graphics Using Transformers Defu Cao, Zhaowen Wang, Jose Echevarria, Yan Liu

NeurIPSW 2022 A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms Under Distributional Shift Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu

NeurIPS 2022 Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media Yizhou Zhang, Defu Cao, Yan Liu

NeurIPS 2020 Spectral Temporal Graph Neural Network for Multivariate Time-Series Forecasting Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang