Effects of User Negative Experience in Mobile News Streaming. - Hongyu Lu; Min Zhang 006; Weizhi Ma; Ce Wang; Feng Xia 006; Yiqun Liu 001; Leyu Lin; Shaoping Ma (SIGIR, 2019)

Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. - Tianxin Wang; Jingwu Chen; Fuzhen Zhuang; Leyu Lin; Feng Xia 006; Lihuan Du; Qing He 003 (ECAI, 2020)

Deep Feedback Network for Recommendation. - Ruobing Xie; Cheng Ling; Yalong Wang; Rui Wang 068; Feng Xia 006; Leyu Lin (IJCAI, 2020)

Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection. - Weilong Chen; Feng Hong 005; Chenghao Huang; Shaoliang Zhang; Rui Wang 068; Ruobing Xie; Feng Xia 006; Leyu Lin; Yanru Zhang; Yan Wang 083 (ACM Multimedia, 2020)

Exploring Clustering of Bandits for Online Recommendation System. - Liu Yang 008; Bo Liu 015; Leyu Lin; Feng Xia 006; Kai Chen 005; Qiang Yang 001 (RecSys, 2020)

Hierarchical Reinforcement Learning for Integrated Recommendation. - Ruobing Xie; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (AAAI, 2021)

Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. - Ruobing Xie; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (CIKM, 2021)

Curriculum Disentangled Recommendation with Noisy Multi-feedback. - Hong Chen 011; Yudong Chen 003; Xin Wang 019; Ruobing Xie; Rui Wang 068; Feng Xia 006; Wenwu Zhu 001 (NeurIPS, 2021)

Real-time Relevant Recommendation Suggestion. - Ruobing Xie; Rui Wang 068; Shaoliang Zhang; Zhihong Yang; Feng Xia 006; Leyu Lin (WSDM, 2021)

Personalized Approximate Pareto-Efficient Recommendation. - Ruobing Xie; Yanlei Liu; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (WWW, 2021)

Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. - Jingwu Chen; Fuzhen Zhuang; Tianxin Wang; Leyu Lin; Feng Xia 006; Lihuan Du; Qing He 003 (IEEE Trans. Knowl. Data Eng., 2021)

Multi-granularity Fatigue in Recommendation. - Ruobing Xie; Cheng Ling; Shaoliang Zhang; Feng Xia 006; Leyu Lin (CIKM, 2022)

Long Short-Term Temporal Meta-learning in Online Recommendation. - Ruobing Xie; Yalong Wang; Rui Wang 068; Yuanfu Lu; Yuanhang Zou; Feng Xia 006; Leyu Lin (WSDM, 2022)

A Peep into the Future: Adversarial Future Encoding in Recommendation. - Ruobing Xie; Shaoliang Zhang; Rui Wang 068; Feng Xia 006; Leyu Lin (WSDM, 2022)

Adaptively sharing multi-levels of distributed representations in multi-task learning. - Tianxin Wang; Fuzhen Zhuang; Ying Sun 006; Xiangliang Zhang 001; Leyu Lin; Feng Xia 006; Lei He; Qing He 003 (Inf. Sci., 2022)

Pruning Pre-trained Language Models Without Fine-Tuning. - Ting Jiang; Deqing Wang; Fuzhen Zhuang; Ruobing Xie; Feng Xia 006 (ACL (1), 2023)

Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. - Shuai Yang; Lixin Zhang; Feng Xia 006; Leyu Lin (CIKM, 2023)

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. - Junjie Huang; Qi Cao; Ruobing Xie; Shaoliang Zhang; Feng Xia 006; Huawei Shen; Xueqi Cheng (DASFAA (2), 2023)

Future Augmentation with Self-distillation in Recommendation. - Chong Liu; Ruobing Xie; Xiaoyang Liu; Pinzheng Wang; Rongqin Zheng; Lixin Zhang; Juntao Li; Feng Xia 006; Leyu Lin (ECML/PKDD (6), 2023)

Reweighting Clicks with Dwell Time in Recommendation. - Ruobing Xie; Lin Ma; Shaoliang Zhang; Feng Xia 006; Leyu Lin (WWW (Companion Volume), 2023)

Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender. - Shuai Yang; Lixin Zhang; Feng Xia 006; Leyu Lin (CoRR, 2023)

Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation. - Chong Liu; Xiaoyang Liu; Ruobing Xie; Lixin Zhang; Feng Xia 006; Leyu Lin (CoRR, 2023)

Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation. - Chong Liu; Xiaoyang Liu; Lixin Zhang; Feng Xia 006; Leyu Lin (CoRR, 2023)

Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. - Junjie Huang; Ruobing Xie; Qi Cao; Huawei Shen; Shaoliang Zhang; Feng Xia 006; Xueqi Cheng (Inf. Process. Manag., 2023)

Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. - Guipeng Xv; Xinyu Li; Ruobing Xie; Chen Lin 001; Chong Liu; Feng Xia 006; Zhanhui Kang; Leyu Lin (KDD, 2024)

FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. - Wei Chen 061; Yiqing Wu; Zhao Zhang 011; Fuzhen Zhuang; Zhongshi He; Ruobing Xie; Feng Xia 006 (ACM Trans. Inf. Syst., 2024)

CIPPO: Contrastive Imitation Proximal Policy Optimization for Recommendation Based on Reinforcement Learning. - Weilong Chen; Shaoliang Zhang; Ruobing Xie; Feng Xia 006; Leyu Lin; Xinran Zhang; Yan Wang 083; Yanru Zhang (IEEE Trans. Knowl. Data Eng., 2024)