赵苡积｜云南大学｜学者主页

2026

STF: Steady and Transient Factorization for Sparse Time-Aware QoS Prediction

Yiji Zhao, Yunlong Gui, Lei Zhang, Jixian Zhang, Ming Jin, Hao Wu

IEEE Transactions on Services Computing

DOI

2026

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

Yiji Zhao, Zi-Hao Zhong, Ao Wang, Hao-Min Wen, Ming Jin, Yuxuan Liang, Huaiyu Wan, Hao Wu

Knowledge Discovery and Data Mining

DOI

2026

EVENTTSF: Event-Aware Non-Stationary Time Series Forecasting

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

International Joint Conference on Artificial Intelligence

DOI

2025

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

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

IEEE Transactions on Industrial Informatics

DOI

2025

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

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

International Joint Conference on Artificial Intelligence

DOI

2024

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

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

Expert Systems With Applications，Vol. 238

DOI

2024

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

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

IEEE Transactions on Services Computing

DOI

2024

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

Qian Tang, Yiji Zhao, Hao Wu, Lei Zhang

IEEE Transactions on Emerging Topics in Computational Intelligence

DOI

2024

Dynamic QoS Prediction With Intelligent Route Estimation Via Inverse Reinforcement Learning

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

IEEE Transactions on Services Computing

DOI

2023

面向交通网络数据预测的时空图神经网络模型研究

赵苡积

《北京交通大学》

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 Transactions on Network and Service Management

DOI

2023

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

Yiji Zhao, Youfang Lin, Haomin Wen, Tonglong Wei, Xi Jin, Huai-Yu Wan

IEEE transactions on intelligent transportation systems (Print)

DOI

2023

Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling

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

IEEE Transactions on Neural Networks and Learning Systems

DOI

2023

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

Qian Tang, Yiji Zhao, Hao Wu, Lei Zhang

Knowledge-Based Systems

DOI

2023

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

Tonglong Wei, You-Fang Lin, S. Guo, Yan Lin, Yiji Zhao, Xi Jin, Zhi-Hao Wu, Huai-Yu Wan

Knowledge-Based Systems

DOI

2023

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

Haomin Wen, You-Fang Lin, Lixia Wu, Xiao-Wei Mao, Tianyu Cai, Yun-Xian Hou, S. Guo, Y. Liang, Guangyin Jin, Yiji Zhao, Roger Zimmermann, Jieping Ye, Huai-Yu Wan

IEEE Transactions on Knowledge and Data Engineering

DOI

2022

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

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

International Conference on Collaborative Computing

DOI

2022

Context-aware Distance Measures for Dynamic Networks

Yiji Zhao, Youfang Lin, Zhi-Hao Wu, Yang Wang, Haomin Wen

ACM Transactions on the Web

DOI

2022

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

Haomin Wen, Youfang Lin, Xiao-Wei Mao, Fan Wu, Yiji Zhao, Haochen Wang, Jianbin Zheng, Lixia Wu, Haoyuan Hu, Huai-Yu Wan

Knowledge Discovery and Data Mining

DOI

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, Shuai-Chao Zhang, Huai-Yu Wan

IEEE transactions on intelligent transportation systems (Print)

DOI

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 generations computer systems

DOI

2016

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

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

Knowledge-Based Systems

DOI

赵苡积

精选作品

期刊论文

STF: Steady and Transient Factorization for Sparse Time-Aware QoS Prediction

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

EVENTTSF: Event-Aware Non-Stationary Time Series Forecasting

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

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

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

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

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

Dynamic QoS Prediction With Intelligent Route Estimation Via Inverse Reinforcement Learning

面向交通网络数据预测的时空图神经网络模型研究

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

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

Diversifying Collaborative Filtering via Graph Spreading Network and Selective Sampling

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

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

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

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

Context-aware Distance Measures for Dynamic Networks

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

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

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

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

预印本

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

研究方向