Qing Liu

According to our database, Qing Liu authored at least 13 papers between 2015 and 2024.

Collaborative distances:

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

2024

Utility-Oriented Reranking with Counterfactual Context.

Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Qing Liu, Weinan Zhang, Yong Yu

ACM Trans. Knowl. Discov. Data, September, 2024

2022

Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank.

Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu

ACM Trans. Inf. Syst., 2022

Click-through rate prediction using transfer learning with fine-tuned parameters.

Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He, Jianxi Yang

Inf. Sci., 2022

PeerRank: Robust Learning to Rank With Peer Loss Over Noisy Labels.

Xin Wu, Qing Liu, Jiarui Qin, Yong Yu

IEEE Access, 2022

2021

Context-aware Reranking with Utility Maximization for Recommendation.

Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu

CoRR, 2021

AutoFT: Automatic Fine-Tune for Parameters Transfer Learning in Click-Through Rate Prediction.

Xiangli Yang, Qing Liu, Rong Su, Ruiming Tang, Zhirong Liu, Xiuqiang He

CoRR, 2021

2020

Personalized Re-ranking with Item Relationships for E-commerce.

Weiwen Liu, Qing Liu, Ruiming Tang, Junyang Chen, Xiuqiang He, Pheng-Ann Heng

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

U-rank: Utility-oriented Learning to Rank with Implicit Feedback.

Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019

PAL: a position-bias aware learning framework for CTR prediction in live recommender systems.

Huifeng Guo, Jinkai Yu, Qing Liu, Ruiming Tang, Yuzhou Zhang

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

2017

How to Find the Best Rated Items on a Likert Scale and How Many Ratings Are Enough.

Qing Liu, Debabrota Basu, Shruti Goel, Talel Abdessalem, Stéphane Bressan

Proceedings of the Database and Expert Systems Applications, 2017

2016

Top-k Queries Over Uncertain Scores.

Qing Liu, Debabrota Basu, Talel Abdessalem, Stéphane Bressan

Proceedings of the On the Move to Meaningful Internet Systems: OTM 2016 Conferences, 2016

Cost Minimization and Social Fairness for Spatial Crowdsourcing Tasks.

Qing Liu, Talel Abdessalem, Huayu Wu, Zihong Yuan, Stéphane Bressan

Proceedings of the Database Systems for Advanced Applications, 2016

2015

An efficient and truthful pricing mechanism for team formation in crowdsourcing markets.

Qing Liu, Tie Luo, Ruiming Tang, Stéphane Bressan

Proceedings of the 2015 IEEE International Conference on Communications, 2015