Yongqi Liu

According to our database, Yongqi Liu authored at least 18 papers between 2013 and 2026.

Collaborative distances:

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

2026

UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising.

Pengyue Jia, Hailan Yang, Shuchang Liu, Xiaobei Wang, Wanyu Wang, Xiang Li, Yongqi Liu, Kaiqiao Zhan, Kun Gai, Xiangyu Zhao

CoRR, May, 2026

Action-Aware Generative Sequence Modeling for Short Video Recommendation.

Wenhao Li, Zihan Lin, Zhengxiao Guo, Jie Zhou, Shukai Liu, Yongqi Liu, Chuan Luo, Chaoyi Ma, Ruiming Tang, Han Li

CoRR, April, 2026

FlashEvaluator: Expanding Search Space with Parallel Evaluation.

Chao Feng, Yuanhao Pu, Chenghao Zhang, Shanqi Liu, Shuchang Liu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai

CoRR, March, 2026

SOLAR: SVD-Optimized Lifelong Attention for Recommendation.

Chenghao Zhang, Chao Feng, Yuanhao Pu, Xunyong Yang, Wenhui Yu, Xiang Li, Yongqi Liu, Lantao Hu, Kaiqiao Zhan, Han Li, Kun Gai

CoRR, March, 2026

Towards End-to-End Alignment of User Satisfaction via Questionnaire in Video Recommendation.

Na Li, Jiaqi Yu, Minzhi Xie, Tiantian He, Xiaoxiao Xu, Zixiu Wang, Lantao Hu, Yongqi Liu, Han Li, Kaiqiao Zhan, Kun Gai

CoRR, January, 2026

DualGR: Generative Retrieval with Long and Short-Term Interests Modeling.

Zhongchao Yi, Kai Feng, Xiaojian Ma, Yalong Wang, Yongqi Liu, Han Li, Zhengyang Zhou, Yang Wang

Proceedings of the ACM Web Conference 2026, 2026

2025

Breaking the Likelihood Trap: Consistent Generative Recommendation with Graph-structured Model.

Qiya Yang, Xiaoxi Liang, Zeping Xiao, Yingjie Deng, Yalong Wang, Yongqi Liu, Han Li

CoRR, October, 2025

UMRE: A Unified Monotonic Transformation for Ranking Ensemble in Recommender Systems.

Zhengrui Xu, Zhe Yang, Zhengxiao Guo, Shukai Liu, Luocheng Lin, Xiaoyan Liu, Yongqi Liu, Han Li

CoRR, August, 2025

Stratified Expert Cloning with Adaptive Selection for User Retention in Large-Scale Recommender Systems.

Chengzhi Lin, Annan Xie, Shuchang Liu, Wuhong Wang, Chuyuan Wang, Yongqi Liu

CoRR, April, 2025

AlignPxtr: Aligning Predicted Behavior Distributions for Bias-Free Video Recommendations.

Chengzhi Lin, Chuyuan Wang, Annan Xie, Wuhong Wang, Ziye Zhang, Canguang Ruan, Yuancai Huang, Yongqi Liu

CoRR, March, 2025

Comment Staytime Prediction with LLM-enhanced Comment Understanding.

Changshuo Zhang, Zihan Lin, Shukai Liu, Yongqi Liu, Han Li

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Stratified Expert Cloning for Retention-Aware Recommendation at Scale.

Chengzhi Lin, Annan Xie, Shuchang Liu, Wuhong Wang, Chuyuan Wang, Yongqi Liu, Han Li

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

Dreaming User Multimodal Representation Guided by The Platonic Representation Hypothesis for Micro-Video Recommendation.

Chengzhi Lin, Hezheng Lin, Shuchang Liu, Cangguang Ruan, Lingjing Xu, Dezhao Yang, Chuyuan Wang, Yongqi Liu

CoRR, 2024

Conditional Quantile Estimation for Uncertain Watch Time in Short-Video Recommendation.

Chengzhi Lin, Shuchang Liu, Chuyuan Wang, Yongqi Liu

CoRR, 2024

MODEM: Decoupling User Behavior for Shared-Account Video Recommendations on Large Screen Devices.

Jiang Li, Zhen Zhang, Xiang Feng, Muyang Li, Yongqi Liu, Lantao Hu

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

2021

PASTO: Strategic Parameter Optimization in Recommendation Systems - Probabilistic is Better than Deterministic.

Weicong Ding, Hanlin Tang, Jingshuo Feng, Lei Yuan, Sen Yang, Guangxu Yang, Jie Zheng, Jing Wang, Qiang Su, Dong Zheng, Xuezhong Qiu, Yongqi Liu, Yuxuan Chen, Yang Liu, Chao Song, Dongying Kong, Kai Ren, Peng Jiang, Qiao Lian, Ji Liu

CoRR, 2021

2014

Content-Boosted Restricted Boltzmann Machine for Recommendation.

Yongqi Liu, Qiuli Tong, Zhao Du, Lantao Hu

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2014, 2014

2013

Context-Aware Recommendation of Learning Resources Using Rules Engine.

Lantao Hu, Zhao Du, Qiuli Tong, Yongqi Liu

Proceedings of the IEEE 13th International Conference on Advanced Learning Technologies, 2013