Defu Cao - RankMe

56 papers A* 14A 1B 2C 1Journal 34Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	"Someone Hid It": Query-Agnostic Black-Box Attacks on LLM-Based Retrieval. CoRR Jiate Li, Defu Cao, Li Li, Wei Yang, Yuehan Qin, Chenxiao Yu, Tiannuo Yang, Ryan A. Rossi, Yan Liu, Xiyang Hu, Yue Zhao
2026	J	`jnl`	Adaptive Collaboration with Humans: Metacognitive Policy Optimization for Multi-Agent LLMs with Continual Learning. CoRR Wei Yang, Defu Cao, Jiacheng Pang, Muyan Weng, Yan Liu
2026	J	`jnl`	TS-Reasoner: Domain-Oriented Time Series Inference Agents for Reasoning and Automated Analysis. Trans. Mach. Learn. Res. Wen Ye, Wei Yang, Defu Cao, Yizhou Zhang, Lumingyuan Tang, Jie Cai, Yan Liu
2026	J	`jnl`	TemporalBench: A Benchmark for Evaluating LLM-Based Agents on Contextual and Event-Informed Time Series Tasks. CoRR Muyan Weng, Defu Cao, Wei Yang, Yashaswi Sharma, Yan Liu
2025	J	`jnl`	A Survey of Reasoning and Agentic Systems in Time Series with Large Language Models. CoRR Ching Chang, Yidan Shi, Defu Cao, Wei Yang, Jeehyun Hwang, Haixin Wang, Jiacheng Pang, Wei Wang, Yan Liu, Wen-Chih Peng, Tien-Fu Chen
2025	—	`conf`	An Electrocardiogram Multi-Task Benchmark with Comprehensive Evaluations and Insightful Findings. MedInfo Yuhao Xu, Jiaying Lu, Sirui Ding, Defu Cao, Xiao Hu, Carl Yang
2025	J	`jnl`	An Electrocardiogram Multi-task Benchmark with Comprehensive Evaluations and Insightful Findings. CoRR Yuhao Xu, Jiaying Lu, Sirui Ding, Defu Cao, Xiao Hu, Carl Yang
2025	J	`jnl`	ClimateLLM: Efficient Weather Forecasting via Frequency-Aware Large Language Models. CoRR Shixuan Li, Wei Yang, Peiyu Zhang, Xiongye Xiao, Defu Cao, Yuehan Qin, Xiaole Zhang, Yue Zhao, Paul Bogdan
2025	J	`jnl`	Conversational Time Series Foundation Models: Towards Explainable and Effective Forecasting. CoRR Defu Cao, Michael Gee, Jinbo Liu, Hengxuan Wang, Wei Yang, Rui Wang, Yan Liu
2025	J	`jnl`	EnECG: Efficient Ensemble Learning for Electrocardiogram Multi-task Foundation Model. CoRR Yuhao Xu, Xiaoda Wang, Jiaying Lu, Sirui Ding, Defu Cao, Huaxiu Yao, Yan Liu, Xiao Hu, Carl Yang
2025	J	`jnl`	Foundation Models for Demand Forecasting via Dual-Strategy Ensembling. CoRR Wei Yang, Defu Cao, Yan Liu
2025	J	`jnl`	M3OOD: Automatic Selection of Multimodal OOD Detectors. CoRR Yuehan Qin, Li Li, Defu Cao, Tiankai Yang, Yue Zhao
2025	J	`jnl`	MultiverseAD: Enhancing spatial-temporal synchronous attention networks with causal knowledge for multivariate time series anomaly detection. Neural Networks Xudong Jia, Defu Cao, Niangxi Zhuang, Wei Peng, Baokang Zhao, Peng Xun, Haojie Li, Chiran Shen
2025	A*	`conf`	Neuron-based Multifractal Analysis of Neuron Interaction Dynamics in Large Models. ICLR Xiongye Xiao, Heng Ping, Chenyu Zhou, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Nikos Kanakaris, Paul Bogdan
2025	J	`jnl`	Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs. CoRR Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yue Zhao, Xiyang Hu
2025	J	`jnl`	When LLM Meets Time Series: Can LLMs Perform Multi-Step Time Series Reasoning and Inference. CoRR Wen Ye, Jinbo Liu, Defu Cao, Wei Yang, Yan Liu
2024	A*	`conf`	Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference. NeurIPS Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu
2024	J	`jnl`	Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference. CoRR Sam Griesemer, Defu Cao, Zijun Cui, Carolina Osorio, Yan Liu
2024	A*	`conf`	An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. ICML Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu
2024	J	`jnl`	An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. CoRR Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu
2024	J	`jnl`	Beyond Forecasting: Compositional Time Series Reasoning for End-to-End Task Execution. CoRR Wen Ye, Yizhou Zhang, Wei Yang, Lumingyuan Tang, Defu Cao, Jie Cai, Yan Liu
2024	B	`conf`	Collaborative Multi-Task Representation for Natural Language Understanding. IJCNN Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang
2024	J	`jnl`	Creating a Cooperative AI Policymaking Platform through Open Source Collaboration. CoRR 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, Daivik Patel, Daniel Li, David Bell, Defu Cao, Donghwa Shin, Edward Kang, Edwin Zhang, Enhui Li, Felix Chen, Gabe Smithline, Haipeng Chen, Henry Gasztowtt, Hoon Shin, Jiayun Zhang, Joshua Gray, Khai Hern Low, Kishan Patel, Lauren Hannah Cooke, Marco Burstein, Maya Kalapatapu, Mitali Mittal, Raymond Chen, Rosie Zhao, Sameen Majid, Samya Potlapalli, Shang Wang, Shrenik Patel, Shuheng Li, Siva Komaragiri, Song Lu, Sorawit Siangjaeo, Sunghoo Jung, Tianyu Zhang, Valery Mao, Vikram Krishnakumar, Vincent Zhu, Wesley Kam, Xingzhe Li, Yumeng Liu
2024	J	`jnl`	Exploring Neuron Interactions and Emergence in LLMs: From the Multifractal Analysis Perspective. CoRR Xiongye Xiao, Chenyu Zhou, Heng Ping, Defu Cao, Yaxing Li, Yizhuo Zhou, Shixuan Li, Paul Bogdan
2024	A*	`conf`	GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. AAAI Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu
2024	C	`conf`	Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting. ICMLA Hao Niu, Guillaume Habault, Defu Cao, Yizhou Zhang, Roberto Legaspi, Huy Quang Ung, James Enouen, Shinya Wada, Chihiro Ono, Atsunori Minamikawa, Yan Liu
2024	A*	`conf`	MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. WWW Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
2024	J	`jnl`	MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. CoRR Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen
2024	A*	`conf`	Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. ICLR Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024	J	`jnl`	Neuro-Inspired Information-Theoretic Hierarchical Perception for Multimodal Learning. CoRR Xiongye Xiao, Gengshuo Liu, Gaurav Gupta, Defu Cao, Shixuan Li, Yaxing Li, Tianqing Fang, Mingxi Cheng, Paul Bogdan
2024	J	`jnl`	Prompting Large Language Models with Divide-and-Conquer Program for Discerning Problem Solving. CoRR Yizhou Zhang, Lun Du, Defu Cao, Qiang Fu, Yan Liu
2024	A*	`conf`	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. ICLR Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
2024	J	`jnl`	TimeDiT: General-purpose Diffusion Transformers for Time Series Foundation Model. CoRR Defu Cao, Wen Ye, Yizhou Zhang, Yan Liu
2023	J	`jnl`	Coupled Multiwavelet Neural Operator Learning for Coupled Partial Differential Equations. CoRR Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
2023	A*	`conf`	Coupled Multiwavelet Operator Learning for Coupled Differential Equations. ICLR Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan
2023	J	`jnl`	Detecting Out-of-Context Multimodal Misinformation with interpretable neural-symbolic model. CoRR Yizhou Zhang, Loc Trinh, Defu Cao, Zijun Cui, Yan Liu
2023	A*	`conf`	Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. AAAI Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
2023	J	`jnl`	Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders. CoRR Defu Cao, James Enouen, Yujing Wang, Xiangchen Song, Chuizheng Meng, Hao Niu, Yan Liu
2023	J	`jnl`	Estimating Treatment Effects in Continuous Time with Hidden Confounders. CoRR Defu Cao, James Enouen, Yan Liu
2023	—	`conf`	Large Scale Financial Time Series Forecasting with Multi-faceted Model. ICAIF Defu Cao, Yixiang Zheng, Parisa Hassanzadeh, Simran Lamba, Xiaomo Liu, Yan Liu
2023	A*	`conf`	SVGformer: Representation Learning for Continuous Vector Graphics using Transformers. CVPR Defu Cao, Zhaowen Wang, Jose Echevarria, Yan Liu
2023	J	`jnl`	TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. CoRR Defu Cao, Furong Jia, Sercan Ö. Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu
2023	A	`conf`	Time-delayed Multivariate Time Series Predictions. SDM Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu
2022	A*	`conf`	Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. NeurIPS Yizhou Zhang, Defu Cao, Yan Liu
2022	J	`jnl`	Counterfactual Neural Temporal Point Process for Estimating Causal Influence of Misinformation on Social Media. CoRR Yizhou Zhang, Defu Cao, Yan Liu
2022	J	`jnl`	DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift. CoRR Defu Cao, Yousef El-Laham, Loc Trinh, Svitlana Vyetrenko, Yan Liu
2022	—	`conf`	Enhancing Self-Attention with Knowledge-Assisted Attention Maps. NAACL-HLT 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
2022	—	`conf`	Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. PAKDD (1) Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu
2022	J	`jnl`	When Physics Meets Machine Learning: A Survey of Physics-Informed Machine Learning. CoRR Chuizheng Meng, Sungyong Seo, Defu Cao, Sam Griesemer, Yan Liu
2021	J	`jnl`	Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. CoRR Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
2021	A*	`conf`	Spectral Temporal Graph Neural Network for Trajectory Prediction. ICRA Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
2021	J	`jnl`	Spectral Temporal Graph Neural Network for Trajectory Prediction. CoRR Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka
2020	B	`conf`	FTCLNet: Convolutional LSTM with Fourier Transform for Vulnerability Detection. TrustCom Defu Cao, Jing Huang, Xuanyu Zhang, Xianhua Liu
2020	A*	`conf`	Multivariate Time-series Anomaly Detection via Graph Attention Network. ICDM Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
2020	J	`jnl`	Multivariate Time-series Anomaly Detection via Graph Attention Network. CoRR Hang Zhao, Yujing Wang, Juanyong Duan, Congrui Huang, Defu Cao, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang
2020	A*	`conf`	Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting. NeurIPS Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang