Kai Zhao - RankMe

21 papers A* 4A 1B 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	CC-Time: Cross-Model and Cross-Modality Time Series Forecasting. CoRR Peng Chen, Yihang Wang, Yang Shu, Yunyao Cheng, Kai Zhao, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	A*	`conf`	Enhancing Diversity for Data-free Quantization. CVPR Kai Zhao, Zhihao Zhuang, Miao Zhang, Chenjuan Guo, Yang Shu, Bin Yang
2025	J	`jnl`	Gaussian Process Latent Variable Modeling for Few-Shot Time Series Forecasting. IEEE Trans. Knowl. Data Eng. Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
2025	A*	`conf`	Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. ICLR Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	A*	`conf`	Towards a General Time Series Forecasting Model with Unified Representation and Adaptive Transfer. ICML Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2025	—	`conf`	Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. KDD (2) Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Christian S. Jensen, Yunyao Cheng, Bin Yang
2024	J	`jnl`	A Memory Guided Transformer for Time Series Forecasting. Proc. VLDB Endow. Yunyao Cheng, Chenjuan Guo, Bin Yang, Haomin Yu, Kai Zhao, Christian S. Jensen
2024	J	`jnl`	MultiRC: Joint Learning for Time Series Anomaly Prediction and Detection with Multi-scale Reconstructive Contrast. CoRR Shiyan Hu, Kai Zhao, Xiangfei Qiu, Yang Shu, Jilin Hu, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Noise Matters: Cross Contrastive Learning for Flink Anomaly Detection. Proc. VLDB Endow. Zhihao Zhuang, Yingying Zhang, Kai Zhao, Chenjuan Guo, Bin Yang, Qingsong Wen, Lunting Fan
2024	J	`jnl`	ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning. CoRR Yihang Wang, Yuying Qiu, Peng Chen, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders. CoRR Qichao Shentu, Beibu Li, Kai Zhao, Yang Shu, Zhongwen Rao, Lujia Pan, Bin Yang, Chenjuan Guo
2024	J	`jnl`	Unsupervised Time Series Anomaly Prediction with Importance-based Generative Contrastive Learning. CoRR Kai Zhao, Zhihao Zhuang, Chenjuan Guo, Hao Miao, Yunyao Cheng, Bin Yang
2023	J	`jnl`	Multiple Time Series Forecasting with Dynamic Graph Modeling. Proc. VLDB Endow. Kai Zhao, Chenjuan Guo, Yunyao Cheng, Peng Han, Miao Zhang, Bin Yang
2023	J	`jnl`	Weakly Guided Adaptation for Robust Time Series Forecasting. Proc. VLDB Endow. Yunyao Cheng, Peng Chen, Chenjuan Guo, Kai Zhao, Qingsong Wen, Bin Yang, Christian S. Jensen
2022	J	`jnl`	A Pattern Discovery Approach to Multivariate Time Series Forecasting. CoRR Yunyao Cheng, Chenjuan Guo, Kaixuan Chen, Kai Zhao, Bin Yang, Jiandong Xie, Christian S. Jensen, Feiteng Huang, Kai Zheng
2022	A	`conf`	Joint Learning of E-commerce Search and Recommendation with a Unified Graph Neural Network. WSDM Kai Zhao, Yukun Zheng, Tao Zhuang, Xiang Li, Xiaoyi Zeng
2021	B	`conf`	Disentangled-based Adversarial Network for Multiplex Network Embedding. IJCNN Shimeng Zhan, Nianwen Ning, Kai Zhao, Lianwei Li, Bin Wu, Bai Wang
2021	J	`jnl`	Multiplex Network Embedding Model with High-Order Node Dependence. Complex. Nianwen Ning, Qiuyue Li, Kai Zhao, Bin Wu
2020	A*	`conf`	Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. WWW Kai Zhao, Ting Bai, Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang, Jian-Yun Nie
2020	—	`conf`	KGWD: Knowledge Graph Based Wide & Deep Framework for Recommendation. APWeb/WAIM (1) Kemeng Liu, Zhonghong Ou, Yanxin Tan, Kai Zhao, Meina Song
2020	—	`conf`	Tweet Stance Detection: A Two-stage DC-BILSTM Model Based on Semantic Attention. DSC Yuanyu Yang, Bin Wu, Kai Zhao, WenYing Guo