Yiji Zhao (赵苡积)

Yiji Zhao (赵苡积)

Lecturer at Yunnan University

Publications

Selected Publications

* Corresponding author.

  1. Yiji Zhao, Zihao Zhong, Ao Wang, Haomin Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu. “FaST: Efficient and Effective Long-Horizon Forecasting for Large-Scale Spatial-Temporal Graphs via Mixture-of-Experts.” Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2026, pp. 1975–1986. [KDD, CCF-A] Paper | Code

  2. Zhao Tan, Yiji Zhao, Shiyu Wang, Chang Xu, Yuxuan Liang, Xiping Liu, Shirui Pan, Ming Jin. “Sonar-TS: Search-Then-Verify Natural Language Querying for Time Series Databases.” International Conference on Machine Learning, 2026. [ICML, CCF-A]

  3. Yunfeng Ge, Ming Jin, Yiji Zhao, Hongyan Li, Bo Du, Chang Xu, Shirui Pan. “EventTSF: Event-Aware Non-Stationary Time Series Forecasting.” International Joint Conference on Artificial Intelligence, 2026. [IJCAI, CCF-A]

  4. Shaowei Qin, Yiji Zhao*, Hao Wu, Lei Zhang, Qiang He. “Harnessing the Power of Large Language Model for Effective Web API Recommendation.” IEEE Transactions on Industrial Informatics, 2025, 21(7): 5360–5370. [IEEE TII]

  5. Hao Wu, Shuting Tian, Binbin Jin, Yiji Zhao*, Lei Zhang. “Effective Graph Modeling and Contrastive Learning for Time-Aware QoS Prediction.” IEEE Transactions on Services Computing, 2024, 17(6): 3513–3526. [IEEE TSC, CCF-A]

  6. Yiji Zhao, Youfang Lin, Haomin Wen, Tonglong Wei, Xiyuan Jin, Huaiyu Wan. “Spatial-Temporal Position-Aware Graph Convolution Networks for Traffic Flow Forecasting.” IEEE Transactions on Intelligent Transportation Systems, 2023, 24(8): 8650–8666. [IEEE TITS, CCF-B] Code

  7. Yiji Zhao, Youfang Lin, Yongkai Zhang, Haomin Wen, Yunxiao Liu, Hao Wu, Zhihao Wu, Shuaichao Zhang, Huaiyu Wan. “Traffic Inflow and Outflow Forecasting by Modeling Intra- and Inter-Relationship Between Flows.” IEEE Transactions on Intelligent Transportation Systems, 2022, 23(11): 20202–20216. [IEEE TITS, CCF-B] Code

  8. Yiji Zhao, Youfang Lin, Zhihao Wu, Yang Wang, Haomin Wen. “Context-aware Distance Measures for Dynamic Networks.” ACM Transactions on the Web, 2022, 16(1): 1–34. [ACM TWEB, CCF-B]

  9. Yunfeng Ge, Jiawei Li, Yiji Zhao, Haomin Wen, Zhao Li, Meikang Qiu, Hongyan Li, Ming Jin, Shirui Pan. “T2S: High-resolution Time Series Generation with Text-to-Series Diffusion Models.” Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025, pp. 5208–5216. [IJCAI, CCF-B]

  10. Yueting Fang, Hao Wu, Yiji Zhao*, Lei Zhang, Shaowei Qin, Xin Wang. “Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling.” IEEE Transactions on Neural Networks and Learning Systems, 2024, 35(10): 13860–13873. [IEEE TNNLS]

  11. 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. “A Survey on Service Route and Time Prediction in Instant Delivery: Taxonomy, Progress, and Prospects.” IEEE Transactions on Knowledge and Data Engineering, 2024, 36(12): 7516–7535. [IEEE TKDE, CCF-A]

  12. Qian Tang, Yiji Zhao, Hao Wu, Lei Zhang. “Node Clustering on Attributed Graph Using Anchor Sampling Strategy and Debiasing Strategy.” IEEE Transactions on Emerging Topics in Computational Intelligence, 2024, 8(4): 3017–3028. [IEEE TETCI]

  13. Jiahui Li, Hao Wu, Qiang He, Yiji Zhao, Xin Wang. “Dynamic QoS Prediction with Intelligent Route Estimation via Inverse Reinforcement Learning.” IEEE Transactions on Services Computing, 2024, 17(2): 509–523. [IEEE TSC, CCF-A]

  14. Huiqiang Lian, Jiahui Li, Hao Wu, Yiji Zhao, Lei Zhang, Xin Wang. “Toward Effective Personalized Service QoS Prediction from the Perspective of Multi-Task Learning.” IEEE Transactions on Network and Service Management, 2023, 20(3): 2587–2597. [IEEE TNSM]

  15. Haomin Wen, Youfang Lin, Xiaowei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huaiyu Wan. “Graph2Route: A Dynamic Spatial-Temporal Graph Neural Network for Pick-up and Delivery Route Prediction.” Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2022, pp. 4143–4152. [KDD, CCF-A]