Feng Xia

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 30

Top Topics

Reinforcement Learning

Recommender Systems

Top Venues

Publications

Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. CoRR (2024)
Guipeng Xv, Xinyu Li, Ruobing Xie, Chen Lin, Chong Liu, Feng Xia, Zhanhui Kang, Leyu Lin
Improving Multi-modal Recommender Systems by Denoising and Aligning Multi-modal Content and User Feedback. KDD (2024)
Wei Chen, Yiqing Wu, Zhao Zhang, Fuzhen Zhuang, Zhongshi He, Ruobing Xie, Feng Xia
FairGap: Fairness-Aware Recommendation via Generating Counterfactual Graph. ACM Trans. Inf. Syst. 42 (4) (2024)
Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin
Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation. CIKM (2023)
Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia
Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) (2023)
Chong Liu, Xiaoyang Liu, Lixin Zhang, Feng Xia, Leyu Lin
Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation. CoRR (2023)
Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin
Future Augmentation with Self-distillation in Recommendation. ECML/PKDD (6) (2023)
Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender. CoRR (2023)
Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin
Reweighting Clicks with Dwell Time in Recommendation. WWW (Companion Volume) (2023)
Chong Liu, Xiaoyang Liu, Ruobing Xie, Lixin Zhang, Feng Xia, Leyu Lin
Learning from All Sides: Diversified Positive Augmentation via Self-distillation in Recommendation. CoRR (2023)
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. DASFAA (2) (2023)
Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng
Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation. CoRR (2023)
Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng
Negative Can Be Positive: Signed Graph Neural Networks for Recommendation. Inf. Process. Manag. 60 (4) (2023)
Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin
Reweighting Clicks with Dwell Time in Recommendation. CoRR (2022)
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
A Peep into the Future: Adversarial Future Encoding in Recommendation. WSDM (2022)
Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He
Adaptively sharing multi-levels of distributed representations in multi-task learning. Inf. Sci. 591 (2022)
Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin
Long Short-Term Temporal Meta-learning in Online Recommendation. WSDM (2022)
Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin
Multi-granularity Fatigue in Recommendation. CIKM (2022)
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
Hierarchical Reinforcement Learning for Integrated Recommendation. AAAI (2021)
Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin
Long Short-Term Temporal Meta-learning in Online Recommendation. CoRR (2021)
Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu
Curriculum Disentangled Recommendation with Noisy Multi-feedback. NeurIPS (2021)
Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. CIKM (2021)
Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin
Real-time Relevant Recommendation Suggestion. WSDM (2021)
Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin
Personalized Approximate Pareto-Efficient Recommendation. WWW (2021)
Jingwu Chen, Fuzhen Zhuang, Tianxin Wang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
Follow the Title Then Read the Article: Click-Guide Network for Dwell Time Prediction. IEEE Trans. Knowl. Data Eng. 33 (7) (2021)
Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He
Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction. ECAI (2020)
Weilong Chen, Feng Hong, Chenghao Huang, Shaoliang Zhang, Rui Wang, Ruobing Xie, Feng Xia, Leyu Lin, Yanru Zhang, Yan Wang
Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection. ACM Multimedia (2020)
Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang
Exploring Clustering of Bandits for Online Recommendation System. RecSys (2020)
Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin
Deep Feedback Network for Recommendation. IJCAI (2020)
Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, Shaoping Ma
Effects of User Negative Experience in Mobile News Streaming. SIGIR (2019)