Defu Cao
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
14
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Topology Matters: Measuring Memory Leakage in Multi-Agent LLMs. | Jinbo Liu, Defu Cao, Yifei Wei, Tianyao Su, Yuan Liang, Yushun Dong, Yan Liu, Yue Zhao, Xiyang Hu |
| 2025 | ICLR | 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 |
| 2024 | AAAI | GPT4MTS: Prompt-based Large Language Model for Multimodal Time-series Forecasting. | Furong Jia, Kevin Wang, Yixiang Zheng, Defu Cao, Yan Liu |
| 2024 | ICLR | TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting. | Defu Cao, Furong Jia, Sercan . Arik, Tomas Pfister, Yixiang Zheng, Wen Ye, Yan Liu |
| 2024 | ICLR | 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 |
| 2024 | ICML | An Empirical Examination of Balancing Strategy for Counterfactual Estimation on Time Series. | Qiang Huang, Chuizheng Meng, Defu Cao, Biwei Huang, Yi Chang, Yan Liu |
| 2024 | ICMLA | Mixture of Projection Experts for Multivariate Long-Term Time Series Forecasting. | Hao Niu, Guillaume Habault, Defu Cao, Yizhou Zhang, Roberto Legaspi, Huy Quang Ung, James Enouen, Shinya Wada, Chihiro Ono, Atsunori Minamikawa, Yan Liu |
| 2024 | IJCNN | Collaborative Multi-Task Representation for Natural Language Understanding. | Yaming Yang, Defu Cao, Ming Zeng, Jing Yu, Xiang Ren, Yunhai Tong, Yujing Wang |
| 2024 | WWW | MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. | Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen |
| 2023 | AAAI | 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 |
| 2023 | CVPR | SVGformer: Representation Learning for Continuous Vector Graphics using Transformers. | Defu Cao, Zhaowen Wang, Jose Echevarria, Yan Liu |
| 2023 | ICLR | Coupled Multiwavelet Operator Learning for Coupled Differential Equations. | Xiongye Xiao, Defu Cao, Ruochen Yang, Gaurav Gupta, Gengshuo Liu, Chenzhong Yin, Radu Balan, Paul Bogdan |
| 2023 | SDM | Time-delayed Multivariate Time Series Predictions. | Hao Niu, Guillaume Habault, Roberto Legaspi, Chuizheng Meng, Defu Cao, Shinya Wada, Chihiro Ono, Yan Liu |
| 2022 | NAACL | Enhancing Self-Attention with Knowledge-Assisted Attention Maps. | 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 | PAKDD | Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. | Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu |
| 2021 | ICRA | Spectral Temporal Graph Neural Network for Trajectory Prediction. | Defu Cao, Jiachen Li, Hengbo Ma, Masayoshi Tomizuka |
| 2020 | ICDM | 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, Jie Tong, Qi Zhang |
| 2020 | TrustCom | FTCLNet: Convolutional LSTM with Fourier Transform for Vulnerability Detection. | Defu Cao, Jing Huang, Xuanyu Zhang, Xianhua Liu |