Yiji Zhao

According to our database, Yiji Zhao authored at least 26 papers between 2016 and 2026.

Collaborative distances:

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

2026

Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases.

Zhao Tan, Yiji Zhao, Shiyu Wang, Chang Xu, Yuxuan Liang, Xiping Liu, Shirui Pan, Ming Jin

CoRR, February, 2026

EIDOS: Latent-Space Predictive Learning for Time Series Foundation Models.

Xinxing Zhou, Qingren Yao, Yiji Zhao, Chenghao Liu, Flora Salim, Xiaojie Yuan, Yanlong Wen, Ming Jin

CoRR, February, 2026

TASeqRec: Learning users' topical interests for sequential recommendation.

Wenxian Liu, Shaowei Qin, Yiji Zhao, Lei Zhang, Hao Wu

Inf. Process. Manag., 2026

FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts.

Yiji Zhao, Zihao Zhong, Ao Wang, Haomin Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

EventTSF: Event-Aware Non-Stationary Time Series Forecasting.

Yunfeng Ge, Ming Jin, Yiji Zhao, Hongyan Li, Bo Du, Chang Xu, Shirui Pan

CoRR, August, 2025

Harnessing the Power of Large Language Model for Effective Web API Recommendation.

Shaowei Qin, Yiji Zhao, Hao Wu, Lei Zhang, Qiang He

IEEE Trans. Ind. Informatics, July, 2025

T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models.

Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

2024

A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.

Haomin Wen, Youfang Lin, Lixia Wu, Xiaowei Mao, Tianyue Cai, Yunfeng Hou, Shengnan Guo, Yuxuan Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huaiyu Wan

IEEE Trans. Knowl. Data Eng., December, 2024

Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling.

Yueting Fang, Hao Wu, Yiji Zhao, Lei Zhang, Shaowei Qin, Xin Wang

IEEE Trans. Neural Networks Learn. Syst., October, 2024

Node Clustering on Attributed Graph Using Anchor Sampling Strategy and Debiasing Strategy.

Qian Tang, Yiji Zhao, Hao Wu, Lei Zhang

IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

TAE: Topic-aware encoder for large-scale multi-label text classification.

Shaowei Qin, Hao Wu, Lihua Zhou, Yiji Zhao, Lei Zhang

Appl. Intell., April, 2024

Spatial-temporal uncertainty-aware graph networks for promoting accuracy and reliability of traffic forecastin.

Xiyuan Jin, Jing Wang, Shengnan Guo, Tonglong Wei, Yiji Zhao, Youfang Lin, Huaiyu Wan

Expert Syst. Appl., March, 2024

Effective Graph Modeling and Contrastive Learning for Time-Aware QoS Prediction.

Hao Wu, Shuting Tian, Binbin Jin, Yiji Zhao, Lei Zhang

IEEE Trans. Serv. Comput., 2024

Dynamic QoS Prediction With Intelligent Route Estimation Via Inverse Reinforcement Learning.

Jiahui Li, Hao Wu, Qiang He, Yiji Zhao, Xin Wang

IEEE Trans. Serv. Comput., 2024

Inductive and adaptive graph convolution networks equipped with constraint task for spatial-temporal traffic data kriging.

Tonglong Wei, Youfang Lin, Shengnan Guo, Yan Lin, Yiji Zhao, Xiyuan Jin, Zhihao Wu, Huaiyu Wan

Knowl. Based Syst., 2024

2023

Adversarial Cluster-Level and Global-Level Graph Contrastive Learning for node representation.

Qian Tang, Yiji Zhao, Hao Wu, Lei Zhang

Knowl. Based Syst., November, 2023

Toward Effective Personalized Service QoS Prediction From the Perspective of Multi-Task Learning.

Huiqiang Lian, Jiahui Li, Hao Wu, Yiji Zhao, Lei Zhang, Xin Wang

IEEE Trans. Netw. Serv. Manag., September, 2023

Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting.

Yiji Zhao, Youfang Lin, Haomin Wen, Tonglong Wei, Xiyuan Jin, Huaiyu Wan

IEEE Trans. Intell. Transp. Syst., August, 2023

2022

Context-aware Distance Measures for Dynamic Networks.

Yiji Zhao, Youfang Lin, Zhihao Wu, Yang Wang, Haomin Wen

ACM Trans. Web, 2022

Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows.

Yiji Zhao, Youfang Lin, Yongkai Zhang, Haomin Wen, Yunxiao Liu, Hao Wu, Zhihao Wu, Shuaichao Zhang, Huaiyu Wan

IEEE Trans. Intell. Transp. Syst., 2022

Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction.

Haomin Wen, Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huaiyu Wan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Self-gated FM: Revisiting the Weight of Feature Interactions for CTR Prediction.

Zhongxue Li, Hao Wu, Xin Wang, Yiji Zhao, Lei Zhang

Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2022

2021

Label Distribution Learning by Mining Local Label Correlations in Self-regulating Clusters Independent of Sample Distance.

Yizhen Jing, Youfang Lin, Yiji Zhao, Zhihao Wu

Proceedings of the International Joint Conference on Neural Networks, 2021

2017

Deviation-based neighborhood model for context-aware QoS prediction of cloud and IoT services.

Hao Wu, Kun Yue, Ching-Hsien Hsu, Yiji Zhao, Binbin Zhang, Guoying Zhang

Future Gener. Comput. Syst., 2017

Improving local clustering based top-L link prediction methods via asymmetrical link clustering information.

Zhihao Wu, Youfang Lin, Yiji Zhao, Hongyan Yan

CoRR, 2017

2016

Collaborative Topic Regression with social trust ensemble for recommendation in social media systems.

Hao Wu, Kun Yue, Yijian Pei, Bo Li, Yiji Zhao, Fan Dong

Knowl. Based Syst., 2016