Learning Continuous User and Item Representations for Neural Collaborative Filtering. - Qinglin Jia; Xiao Su; Zhonghai Wu (KSEM (1), 2019)

UNBERT: User-News Matching BERT for News Recommendation. - Qi Zhang 001; Jingjie Li; Qinglin Jia; Chuyuan Wang; Jieming Zhu; Zhaowei Wang 002; Xiuqiang He 001 (IJCAI, 2021)

RMBERT: News Recommendation via Recurrent Reasoning Memory Network over BERT. - Qinglin Jia; Jingjie Li; Qi Zhang 001; Xiuqiang He 001; Jieming Zhu (SIGIR, 2021)

AMM: Attentive Multi-field Matching for News Recommendation. - Qi Zhang 001; Qinglin Jia; Chuyuan Wang; Jingjie Li; Zhaowei Wang 002; Xiuqiang He 001 (SIGIR, 2021)

Optimal Design of Multimodal Traffic Strategies in Emergency Evacuation Considering Background Traffic. - Yang Yang; Tao Zhang; Qinglin Jia; Gang Cheng; Qian Yu; Minjie Jin (IEEE Access, 2022)

Unbiased Delayed Feedback Label Correction for Conversion Rate Prediction. - Yifan Wang 017; Peijie Sun; Min Zhang 006; Qinglin Jia; Jingjie Li; Shaoping Ma (KDD, 2023)

Customer Lifetime Value Prediction: Towards the Paradigm Shift of Recommender System Objectives. - Chuhan Wu; Qinglin Jia; Zhenhua Dong; Ruiming Tang (RecSys, 2023)

FINAL: Factorized Interaction Layer for CTR Prediction. - Jieming Zhu; Qinglin Jia; Guohao Cai; Quanyu Dai; Jingjie Li; Zhenhua Dong; Ruiming Tang; Rui Zhang 003 (SIGIR, 2023)

Task Adaptive Multi-learner Network for Joint CTR and CVR Estimation. - Xiaofan Liu; Qinglin Jia; Chuhan Wu; Jingjie Li; Quanyu Dai; Lin Bo; Rui Zhang 003; Ruiming Tang (WWW (Companion Volume), 2023)

Contrastive Multi-view Framework for Customer Lifetime Value Prediction. - Chuhan Wu; Jingjie Li; Qinglin Jia; Hong Zhu 003; Yuan Fang; Ruiming Tang (CoRR, 2023)

Confidence-Aware Multi-Field Model Calibration. - Yuang Zhao; Chuhan Wu; Qinglin Jia; Hong Zhu 003; Jia Yan; Libin Zong; Linxuan Zhang; Zhenhua Dong; Muyu Zhang (CIKM, 2024)

A Tutorial on Feature Interpretation in Recommender Systems. - Zhaocheng Du; Chuhan Wu; Qinglin Jia; Jieming Zhu; Xu Chen 017 (RecSys, 2024)

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space. - Yu Liu 083; Qinglin Jia; Shuting Shi; Chuhan Wu; Zhaocheng Du; Zheng Xie 001; Ruiming Tang; Muyu Zhang; Ming Li 005 (RecSys, 2024)

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. - Zhaocheng Du; Junhao Chen; Qinglin Jia; Chuhan Wu; Jieming Zhu; Zhenhua Dong; Ruiming Tang (WWW (Companion Volume), 2024)

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation. - Yuang Zhao; Zhaocheng Du; Qinglin Jia; Linxuan Zhang; Zhenhua Dong; Ruiming Tang (CoRR, 2024)

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models. - Zhuo Wu; Qinglin Jia; Chuhan Wu; Zhaocheng Du; Shuai Wang 020; Zan Wang; Zhenhua Dong (CoRR, 2024)

Few-shot LLM Synthetic Data with Distribution Matching. - Jiyuan Ren; Zhaocheng Du; Zhihao Wen; Qinglin Jia; Sunhao Dai; Chuhan Wu; Zhenhua Dong (WWW (Companion Volume), 2025)

MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling. - Rui Zhou; Hao Wang 076; Wei Guo 006; Qinglin Jia; Wenjia Xie; Xiang Xu; Yong Liu 020; Defu Lian; Enhong Chen (WWW (Companion Volume), 2025)

CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning. - Yuqi Zhou 001; Shuai Wang 020; Sunhao Dai; Qinglin Jia; Zhaocheng Du; Zhenhua Dong; Jun Xu 001 (CoRR, 2025)

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents. - Yuqi Zhou 001; Sunhao Dai; Shuai Wang 020; Kaiwen Zhou; Qinglin Jia; Jun Xu 001 (CoRR, 2025)

TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. - Xianquan Wang; Zhaocheng Du; Jieming Zhu; Chuhan Wu; Qinglin Jia; Zhenhua Dong (CoRR, 2025)