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ORCIDFeng Xia 0006
Person information
- affiliation: Tencent, WeChat Search Application Department, Beijing, China
Other persons with the same name
- Feng Xia 0001
![[0000-0002-8324-1859]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-8324-1859")
— Federation University Australia, School of Science, Engineering and Information Technology, Ballarat, Australia (and 2 more) - Feng Xia 0002 — Hainan Normal University, College of Information Science and Technology, Haikou, China
- Feng Xia 0003 — Northeastern University, College of Information Science and Engineering, Shenyang, China
- Feng Xia 0004 — South China Agricultural University, Department of Information, Guangzhou, China
- Feng Xia 0005 — Shenyang University of Technology, School of Information Science and Engineering, China
- Feng Xia 0007 — Xiamen University, Department of Computer Science and Technology, China
- Feng Xia 0008 — China Meteorological Administration, Guangzhou, China
- Feng Xia 0009 — Wuhan Asia General Hospital, Department of Cardiovascular Surgery, China
- Feng Xia 0010 — Army Medical University, Southwest Hospital, Chongqing, China
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2020 – today
- 2023
[j3]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): 103403 (2023)- [c18]Ting Jiang, Deqing Wang, Fuzhen Zhuang, Ruobing Xie, Feng Xia:
Pruning Pre-trained Language Models Without Fine-Tuning. ACL (1) 2023: 594-605 - [c17]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: 4901-4908 - [c16]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: 373-388 - [c15]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: 602-618 - [c14]Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin:
Reweighting Clicks with Dwell Time in Recommendation. WWW (Companion Volume) 2023: 341-345 - [i6]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 abs/2302.02317 (2023) - [i5]Shuai Yang, Lixin Zhang, Feng Xia, Leyu Lin:
Graph Exploration Matters: Improving both individual-level and system-level diversity in WeChat Feed Recommender. CoRR abs/2306.00009 (2023) - [i4]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 abs/2308.07629 (2023) - [i3]Chong Liu, Xiaoyang Liu, Lixin Zhang, Feng Xia, Leyu Lin:
Multi-Granularity Click Confidence Learning via Self-Distillation in Recommendation. CoRR abs/2309.16322 (2023) - 2022
- [j2]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: 226-234 (2022) - [c13]Ruobing Xie, Cheng Ling, Shaoliang Zhang, Feng Xia, Leyu Lin:
Multi-granularity Fatigue in Recommendation. CIKM 2022: 4595-4599 - [c12]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: 1168-1176 - [c11]Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
A Peep into the Future: Adversarial Future Encoding in Recommendation. WSDM 2022: 1177-1185 - [i2]Ruobing Xie, Lin Ma, Shaoliang Zhang, Feng Xia, Leyu Lin:
Reweighting Clicks with Dwell Time in Recommendation. CoRR abs/2209.09000 (2022) - 2021
- [j1]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): 2903-2913 (2021) - [c10]Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Hierarchical Reinforcement Learning for Integrated Recommendation. AAAI 2021: 4521-4528 - [c9]Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Explore, Filter and Distill: Distilled Reinforcement Learning in Recommendation. CIKM 2021: 4243-4252 - [c8]Hong Chen, Yudong Chen, Xin Wang, Ruobing Xie, Rui Wang, Feng Xia, Wenwu Zhu:
Curriculum Disentangled Recommendation with Noisy Multi-feedback. NeurIPS 2021: 26924-26936 - [c7]Ruobing Xie, Rui Wang, Shaoliang Zhang, Zhihong Yang, Feng Xia, Leyu Lin:
Real-time Relevant Recommendation Suggestion. WSDM 2021: 112-120 - [c6]Ruobing Xie, Yanlei Liu, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin:
Personalized Approximate Pareto-Efficient Recommendation. WWW 2021: 3839-3849 - [i1]Ruobing Xie, Yalong Wang, Rui Wang, Yuanfu Lu, Yuanhang Zou, Feng Xia, Leyu Lin:
Long Short-Term Temporal Meta-learning in Online Recommendation. CoRR abs/2105.03686 (2021) - 2020
- [c5]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: 529-536 - [c4]Ruobing Xie, Cheng Ling, Yalong Wang, Rui Wang, Feng Xia, Leyu Lin:
Deep Feedback Network for Recommendation. IJCAI 2020: 2519-2525 - [c3]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: 4575-4579 - [c2]Liu Yang, Bo Liu, Leyu Lin, Feng Xia, Kai Chen, Qiang Yang:
Exploring Clustering of Bandits for Online Recommendation System. RecSys 2020: 120-129
2010 – 2019
- 2019
- [c1]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: 705-714
Coauthor Index
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