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ORCIDKai Zhao 0009
Person information
- affiliation: Aalborg University, Denmark
- affiliation (former): Beijing University of Posts and Telecommunications, China
Other persons with the same name
- Kai Zhao — disambiguation page
- Kai Zhao 0001 — NEC Laboratories, Beijing, China
- Kai Zhao 0002 — Concordia University, Montreal, Canada
- Kai Zhao 0003 — Google Inc., New York, NY, USA (and 4 more)
- Kai Zhao 0004
![[0000-0003-0656-1901]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0003-0656-1901")
— Chongqing University, School of Automation, China - Kai Zhao 0005 — SanDisk, MA, USA (and 1 more)
- Kai Zhao 0006 — Shanghai Jiao Tong University, City Key Laboratory of Automobile Engineering of Shanghai, China
- Kai Zhao 0007 — Beijing Normal University, Beijing, China (and 1 more)
- Kai Zhao 0008 — Florida State University, FL, USA (and 2 more)
- Kai Zhao 0010 — Nanyang Technological University, School of Electronic and Electrical Engineering, Singapore
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2020 – today
- 2024
[i5]Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR abs/2405.15273 (2024)- [i4]Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo:
ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR abs/2405.17478 (2024) - [i3]Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo:
MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR abs/2410.15997 (2024) - [i2]Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang:
Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. CoRR abs/2410.16888 (2024) - 2023
- [j3]Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang:
Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. 17(4): 753-765 (2023) - [j2]Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen:
Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. 17(4): 766-779 (2023) - 2022
- [c5]Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng:
Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network. WSDM 2022: 1461-1469 - [i1]Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng:
A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR abs/2212.10306 (2022) - 2021
- [j1]Nianwen Ning, Qiuyue Li, Kai Zhao, Bin Wu:
Multiplex Network Embedding Model with High-Order Node Dependence. Complex. 2021: 6644111:1-6644111:18 (2021) - [c4]Shimeng Zhan, Nianwen Ning, Kai Zhao, Lianwei Li, Bin Wu, Bai Wang:
Disentangled-based Adversarial Network for Multiplex Network Embedding. IJCNN 2021: 1-8 - 2020
- [c3]Kemeng Liu, Zhonghong Ou, Yanxin Tan, Kai Zhao, Meina Song:
KGWD: Knowledge Graph Based Wide & Deep Framework for Recommendation. APWeb/WAIM (1) 2020: 455-469 - [c2]Yuanyu Yang, Bin Wu, Kai Zhao, Wenying Guo:
Tweet Stance Detection: A Two-stage DC-BILSTM Model Based on Semantic Attention. DSC 2020: 22-29 - [c1]Kai Zhao, Ting Bai, Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang, Jian-Yun Nie:
Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. WWW 2020: 508-518
Coauthor Index
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