Kai Zhao

According to our database, Kai Zhao authored at least 18 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting.

Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng

IEEE Trans. Knowl. Data Eng., August, 2025

CC-Time: Cross-Model and Cross-Modality Time Series Forecasting.

Peng Chen, Yihang Wang, Yang Shu, Yunyao Cheng, Kai Zhao, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, August, 2025

Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders.

Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Enhancing Diversity for Data-free Quantization.

Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection.

Zhihao Zhuang, Yingying Zhang, Kai Zhao, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan

Proc. VLDB Endow., December, 2024

A Memory Guided Transformer for Time Series Forecasting.

Yunyao Cheng, Chenjuan Guo, Bin Yang, Haomin Yu, Kai Zhao, Christian S. Jensen

Proc. VLDB Endow., October, 2024

Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning.

Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang

CoRR, 2024

MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast.

Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo

CoRR, 2024

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning.

Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo

CoRR, 2024

2023

Multiple Time Series Forecasting with Dynamic Graph Modeling.

Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang

Proc. VLDB Endow., December, 2023

Weakly Guided Adaptation for Robust Time Series Forecasting.

Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen

Proc. VLDB Endow., December, 2023

2022

A Pattern Discovery Approach to Multivariate Time Series Forecasting.

Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng

CoRR, 2022

Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network.

Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021

Multiplex Network Embedding Model with High-Order Node Dependence.

Nianwen Ning, Qiuyue Li, Kai Zhao, Bin Wu

Complex., 2021

Disentangled-based Adversarial Network for Multiplex Network Embedding.

Shimeng Zhan, Nianwen Ning, Kai Zhao, Lianwei Li, Bin Wu, Bai Wang

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding.

Kai Zhao, Ting Bai, Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang, Jian-Yun Nie

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Tweet Stance Detection: A Two-stage DC-BILSTM Model Based on Semantic Attention.

Yuanyu Yang, Bin Wu, Kai Zhao, Wenying Guo

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

KGWD: Knowledge Graph Based Wide & Deep Framework for Recommendation.

Kemeng Liu, Zhonghong Ou, Yanxin Tan, Kai Zhao, Meina Song

Proceedings of the Web and Big Data - 4th International Joint Conference, 2020