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ORCIDRong Xiao 0005
Person information
- affiliation: Alibaba Group, Hangzhou, China
Other persons with the same name
- Rong Xiao — disambiguation page
- Rong Xiao 0001
![[0000-0002-6408-9724]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6408-9724")
— Sichuan University, Chengdu, China - Rong Xiao 0002 — Beijing Normal University, Beijing, China
- Rong Xiao 0003 — Intellifusion Inc., Shenzhen, Guangdong, China (and 2 more)
- Rong Xiao 0004 — University of Western Ontario, London, Ontario, Canada (and 1 more)
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2020 – today
- 2025
[j3]Wen-Ji Zhou, Yuhang Zheng, Yinfu Feng, Yunan Ye, Rong Xiao, Long Chen, Xiaosong Yang, Jun Xiao:
ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling. IEEE Trans. Knowl. Data Eng. 37(1): 265-277 (2025)- 2024
- [j2]Min Tan, Yinfu Feng, Lingqiang Chu, Jingcheng Shi, Rong Xiao, Haihong Tang, Jun Yu:
FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data. IEEE Trans. Multim. 26: 5807-5822 (2024) - [c13]Yiqian Zhang, Yinfu Feng, Wen-Ji Zhou, Yunan Ye, Min Tan, Rong Xiao, Haihong Tang, Jiajun Ding, Jun Yu:
Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search. AAAI 2024: 9387-9395 - [i8]Yanjing Wu, Yinfu Feng, Jian Wang, Wenji Zhou, Yunan Ye, Rong Xiao:
Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search. CoRR abs/2404.15675 (2024) - 2023
- [j1]Yong Qian, Chen Chen, Zhongqing Wang, Rong Xiao, Haihong Tang:
SGPT: Semantic graphs based pre-training for aspect-based sentiment analysis. World Wide Web (WWW) 26(4): 2201-2214 (2023) - [c12]Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang:
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. WWW (Companion Volume) 2023: 346-350 - [i7]Jiong Cai, Yong Jiang, Yue Zhang, Chengyue Jiang, Ke Yu, Jianhui Ji, Rong Xiao, Haihong Tang, Tao Wang, Zhongqiang Huang, Pengjun Xie, Fei Huang, Kewei Tu:
Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. CoRR abs/2307.00370 (2023) - 2022
- [c11]Zhihong Chen, Jiawei Wu, Chenliang Li, Jingxu Chen, Rong Xiao, Binqiang Zhao:
Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. SIGIR 2022: 60-69 - [c10]Zheng Chai, Zhihong Chen, Chenliang Li, Rong Xiao, Houyi Li, Jiawei Wu, Jingxu Chen, Haihong Tang:
User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. SIGIR 2022: 1326-1335 - [i6]Lixin Liu, Yanling Wang, Tianming Wang, Dong Guan, Jiawei Wu, Jingxu Chen, Rong Xiao, Wenxiang Zhu, Fei Fang:
Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. CoRR abs/2208.05728 (2022) - 2021
- [c9]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. SIGIR 2021: 1493-1502 - [c8]Xichuan Niu, Bofang Li, Chenliang Li, Jun Tan, Rong Xiao, Hongbo Deng:
Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. WSDM 2021: 1038-1046 - [c7]Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan:
Learning a Product Relevance Model from Click-Through Data in E-Commerce. WWW 2021: 2890-2899 - [i5]Shaowei Yao, Jiwei Tan, Xi Chen, Keping Yang, Rong Xiao, Hongbo Deng, Xiaojun Wan:
Learning a Product Relevance Model from Click-Through Data in E-Commerce. CoRR abs/2102.07098 (2021) - [i4]Houyi Li, Zhihong Chen, Chenliang Li, Rong Xiao, Hongbo Deng, Peng Zhang, Yongchao Liu, Haihong Tang:
Path-based Deep Network for Candidate Item Matching in Recommenders. CoRR abs/2105.08246 (2021) - [i3]Yong Qian, Zhongqing Wang, Rong Xiao, Chen Chen, Haihong Tang:
SGPT: Semantic Graphs based Pre-training for Aspect-based Sentiment Analysis. CoRR abs/2105.12305 (2021) - 2020
- [c6]Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Honggang Wang, Hongbo Deng, Zhenzhong Chen:
Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. CIKM 2020: 2165-2168 - [c5]Xiaoru Qu, Zhao Li, Jialin Wang, Zhipeng Zhang, Pengcheng Zou, Junxiao Jiang, Jiaming Huang, Rong Xiao, Ji Zhang, Jun Gao:
Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. CIKM 2020: 2693-2700 - [c4]Xichuan Niu, Bofang Li, Chenliang Li, Rong Xiao, Haochuan Sun, Hongbo Deng, Zhenzhong Chen:
A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. KDD 2020: 3405-3415 - [c3]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. SIGIR 2020: 229-238 - [c2]Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. SIGIR 2020: 579-588 - [i2]Zhihong Chen, Rong Xiao, Chenliang Li, Gangfeng Ye, Haochuan Sun, Hongbo Deng:
ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. CoRR abs/2005.10545 (2020) - [i1]Cheng Zhao, Chenliang Li, Rong Xiao, Hongbo Deng, Aixin Sun:
CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. CoRR abs/2005.10549 (2020)
2010 – 2019
- 2019
- [c1]Rong Xiao, Jianhui Ji, Baoliang Cui, Haihong Tang, Wenwu Ou, Yanghua Xiao, Jiwei Tan, Xuan Ju:
Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce. WSDM 2019: 402-410
Coauthor Index
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