Feng Xia

According to our database, Feng Xia authored at least 24 papers between 2019 and 2023.

Collaborative distances:

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

2023

Negative Can Be Positive: Signed Graph Neural Networks for Recommendation.

Junjie Huang, Ruobing Xie, Qi Cao, Huawei Shen, Shaoliang Zhang, Feng Xia, Xueqi Cheng

Inf. Process. Manag., 2023

Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation.

Chong Liu, Xiaoyang Liu, Lixin Zhang, Feng Xia, 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, Leyu Lin

CoRR, 2023

Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender.

Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin

CoRR, 2023

Reweighting Clicks with Dwell Time in Recommendation.

Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin

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

Future Augmentation with Self-distillation in Recommendation.

Chong Liu, Ruobing Xie, Xiaoyang Liu, Pinzheng Wang, Rongqin Zheng, Lixin Zhang, Juntao Li, Feng Xia, Leyu Lin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Adversarial Learning Data Augmentation for Graph Contrastive Learning in Recommendation.

Junjie Huang, Qi Cao, Ruobing Xie, Shaoliang Zhang, Feng Xia, Huawei Shen, Xueqi Cheng

Proceedings of the Database Systems for Advanced Applications, 2023

Graph Exploration Matters: Improving both Individual-Level and System-Level Diversity in WeChat Feed Recommendation.

Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Pruning Pre-trained Language Models Without Fine-Tuning.

Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Adaptively sharing multi-levels of distributed representations in multi-task learning.

Tianxin Wang, Fuzhen Zhuang, Ying Sun, Xiangliang Zhang, Leyu Lin, Feng Xia, Lei He, Qing He

Inf. Sci., 2022

A Peep into the Future: Adversarial Future Encoding in Recommendation.

Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Long Short-Term Temporal Meta-learning in Online Recommendation.

Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Multi-granularity Fatigue in Recommendation.

Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

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, Lihuan Du, Qing He

IEEE Trans. Knowl. Data Eng., 2021

Personalized Approximate Pareto-Efficient Recommendation.

Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the WWW '21: The Web Conference 2021, 2021

Real-time Relevant Recommendation Suggestion.

Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin

Proceedings of the WSDM '21, 2021

Curriculum Disentangled Recommendation with Noisy Multi-feedback.

Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation.

Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Hierarchical Reinforcement Learning for Integrated Recommendation.

Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Exploring Clustering of Bandits for Online Recommendation System.

Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Curriculum Learning for Wide Multimedia-Based Transformer with Graph Target Detection.

Weilong Chen, Feng Hong, Chenghao Huang, Shaoliang Zhang, Rui Wang, Ruobing Xie, Feng Xia, Leyu Lin, Yanru Zhang, Yan Wang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Deep Feedback Network for Recommendation.

Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Capturing Attraction Distribution: Sequential Attentive Network for Dwell Time Prediction.

Tianxin Wang, Jingwu Chen, Fuzhen Zhuang, Leyu Lin, Feng Xia, Lihuan Du, Qing He

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019

Effects of User Negative Experience in Mobile News Streaming.

Hongyu Lu, Min Zhang, Weizhi Ma, Ce Wang, Feng Xia, Yiqun Liu, Leyu Lin, Shaoping Ma

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019