Xuanji Xiao

According to our database, Xuanji Xiao authored at least 10 papers between 2019 and 2024.

Collaborative distances:

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

2024

Lottery4CVR: Neuron-Connection Level Sharing for Multi-task Learning in Video Conversion Rate Prediction.

Xuanji Xiao, Jimmy Chen, Yuzhen Liu, Xing Yao, Pei Liu, Chaosheng Fan

Proceedings of the Advances in Information Retrieval, 2024

2023

Knowledge Soft Integration for Multimodal Recommendation.

Kai Ouyang, Chen Tang, Wenhao Zheng, Xiangjin Xie, Xuanji Xiao, Jian Dong, Hai-Tao Zheng, Zhi Wang

CoRR, 2023

Social4Rec: Distilling User Preference from Social Graph for Video Recommendation in Tencent.

Xuanji Xiao, Huaqiang Dai, Qian Dong, Shuzi Niu, Yuzhen Liu, Pei Liu

CoRR, 2023

Neighbor Based Enhancement for the Long-Tail Ranking Problem in Video Rank Models.

Xuanji Xiao, Ziyu He

CoRR, 2023

On Modeling Long-Term User Engagement from Stochastic Feedback.

Guoxi Zhang, Xing Yao, Xuanji Xiao

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Incorporating Social-Aware User Preference for Video Recommendation.

Xuanji Xiao, Huaqiang Dai, Qian Dong, Shuzi Niu, Yuzhen Liu, Pei Liu

Proceedings of the Web Information Systems Engineering - WISE 2023, 2023

STAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation.

Wanda Li, Wenhao Zheng, Xuanji Xiao, Suhang Wang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Click-Aware Structure Transfer with Sample Weight Assignment for Post-Click Conversion Rate Estimation.

Kai Ouyang, Wenhao Zheng, Chen Tang, Xuanji Xiao, Hai-Tao Zheng

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

2020

LT4REC: A Lottery Ticket Hypothesis Based Multi-task Practice for Video Recommendation System.

Xuanji Xiao, Huabin Chen, Yuzhen Liu, Xing Yao, Pei Liu, Chaosheng Fan, Nian Ji, Xirong Jiang

CoRR, 2020

2019

A pareto-efficient algorithm for multiple objective optimization in e-commerce recommendation.

Xiao Lin, Hongjie Chen, Changhua Pei, Fei Sun, Xuanji Xiao, Hanxiao Sun, Yongfeng Zhang, Wenwu Ou, Peng Jiang

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