Tengyun Wang

According to our database, Tengyun Wang authored at least 11 papers between 2019 and 2023.

Collaborative distances:

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

2023

A multimodal approach for improving market price estimation in online advertising.

Tengyun Wang, Haizhi Yang, Yang Liu, Han Yu, Hengjie Song

Knowl. Based Syst., April, 2023

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings.

Haizhi Yang, Tengyun Wang, Xiaoli Tang, Han Yu, Fei Liu, Hengjie Song

IEEE Trans. Knowl. Data Eng., 2023

A Robust Joint-training Graph Neural Networks Model for Event Detection with Noisy Labels.

Mingxiang Li, Huange Xing, Tengyun Wang, Kaiming Xiao

Proceedings of the 9th International Conference on Computing and Artificial Intelligence, 2023

Answering Property Path Queries over Federated RDF Systems.

Ningchao Ge, Peng Peng, Jibing Wu, Lihua Liu, Haiwen Chen, Tengyun Wang

Proceedings of the Web and Big Data - 7th International Joint Conference, 2023

2022

Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising.

Tengyun Wang, Haizhi Yang, Siyu Jiang, Yueyue Shi, Qianyu Li, Xiaoli Tang, Han Yu, Hengjie Song

Knowl. Based Syst., 2022

2021

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising.

Haizhi Yang, Tengyun Wang, Xiaoli Tang, Qianyu Li, Yueyue Shi, Siyu Jiang, Han Yu, Hengjie Song

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution.

Xiaoli Tang, Rui Yuan, Qianyu Li, Tengyun Wang, Haizhi Yang, Yundong Cai, Hengjie Song

IEEE Access, 2020

2019

A Revenue-Maximizing Bidding Strategy for Demand-Side Platforms.

Tengyun Wang, Haizhi Yang, Han Yu, Wenjun Zhou, Yang Liu, Hengjie Song

IEEE Access, 2019

Unifying Task-Oriented Knowledge Graph Learning and Recommendation.

Qianyu Li, Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song

IEEE Access, 2019

Multi-Label Metric Transfer Learning Jointly Considering Instance Space and Label Space Distribution Divergence.

Siyu Jiang, Yonghui Xu, Tengyun Wang, Haizhi Yang, Shaojian Qiu, Han Yu, Hengjie Song

IEEE Access, 2019

AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation.

Xiaoli Tang, Tengyun Wang, Haizhi Yang, Hengjie Song

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019