Weakly Supervised Co-Training of Query Rewriting andSemantic Matching for e-Commerce. - Rong Xiao 005; Jianhui Ji; Baoliang Cui; Haihong Tang; Wenwu Ou; Yanghua Xiao; Jiwei Tan; Xuan Ju (WSDM, 2019)

Gated Heterogeneous Graph Representation Learning for Shop Search in E-commerce. - Xichuan Niu; Bofang Li; Chenliang Li; Rong Xiao 005; Haochuan Sun; Honggang Wang; Hongbo Deng; Zhenzhong Chen (CIKM, 2020)

Category-aware Graph Neural Networks for Improving E-commerce Review Helpfulness Prediction. - Xiaoru Qu; Zhao Li 007; Jialin Wang; Zhipeng Zhang; Pengcheng Zou; Junxiao Jiang; Jiaming Huang; Rong Xiao 005; Ji Zhang 001; Jun Gao 003 (CIKM, 2020)

A Dual Heterogeneous Graph Attention Network to Improve Long-Tail Performance for Shop Search in E-Commerce. - Xichuan Niu; Bofang Li; Chenliang Li; Rong Xiao 005; Haochuan Sun; Hongbo Deng; Zhenzhong Chen (KDD, 2020)

ESAM: Discriminative Domain Adaptation with Non-Displayed Items to Improve Long-Tail Performance. - Zhihong Chen; Rong Xiao 005; Chenliang Li; Gangfeng Ye; Haochuan Sun; Hongbo Deng (SIGIR, 2020)

CATN: Cross-Domain Recommendation for Cold-Start Users via Aspect Transfer Network. - Cheng Zhao; Chenliang Li; Rong Xiao 005; Hongbo Deng; Aixin Sun (SIGIR, 2020)

Path-based Deep Network for Candidate Item Matching in Recommenders. - Houyi Li; Zhihong Chen; Chenliang Li; Rong Xiao 005; Hongbo Deng; Peng Zhang 001; Yongchao Liu; Haihong Tang (SIGIR, 2021)

Heterogeneous Graph Augmented Multi-Scenario Sharing Recommendation with Tree-Guided Expert Networks. - Xichuan Niu; Bofang Li; Chenliang Li; Jun Tan; Rong Xiao 005; Hongbo Deng (WSDM, 2021)

Learning a Product Relevance Model from Click-Through Data in E-Commerce. - Shaowei Yao; Jiwei Tan; Xi Chen; Keping Yang; Rong Xiao 005; Hongbo Deng; Xiaojun Wan 001 (WWW, 2021)

User-Aware Multi-Interest Learning for Candidate Matching in Recommenders. - Zheng Chai; Zhihong Chen; Chenliang Li; Rong Xiao 005; Houyi Li; Jiawei Wu 008; Jingxu Chen; Haihong Tang (SIGIR, 2022)

Co-training Disentangled Domain Adaptation Network for Leveraging Popularity Bias in Recommenders. - Zhihong Chen; Jiawei Wu 008; Chenliang Li; Jingxu Chen; Rong Xiao 005; Binqiang Zhao (SIGIR, 2022)

Continual Transfer Learning for Cross-Domain Click-Through Rate Prediction at Taobao. - Lixin Liu; Yanling Wang; Tianming Wang; Dong Guan; Jiawei Wu 008; Jingxu Chen; Rong Xiao 005; Wenxiang Zhu; Fei Fang 002 (WWW (Companion Volume), 2023)

Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model. - Jiong Cai; Yong Jiang 001; Yue Zhang 004; Chengyue Jiang; Ke Yu; Jianhui Ji; Rong Xiao 005; Haihong Tang; Tao Wang 056; Zhongqiang Huang; Pengjun Xie; Fei Huang 002; et al. (CoRR, 2023)

SGPT: Semantic graphs based pre-training for aspect-based sentiment analysis. - Yong Qian; Chen Chen 090; Zhongqing Wang; Rong Xiao 005; Haihong Tang (World Wide Web (WWW), 2023)

Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search. - Yiqian Zhang; Yinfu Feng; Wen-Ji Zhou; Yunan Ye; Min Tan 005; Rong Xiao 005; Haihong Tang; Jiajun Ding; Jun Yu 002 (AAAI, 2024)

Hi-Gen: Generative Retrieval For Large-Scale Personalized E-commerce Search. - Yanjing Wu; Yinfu Feng; Jian Wang; Wenji Zhou; Yunan Ye; Rong Xiao 005 (CoRR, 2024)

FedSea: Federated Learning via Selective Feature Alignment for Non-IID Multimodal Data. - Min Tan 005; Yinfu Feng; Lingqiang Chu; Jingcheng Shi; Rong Xiao 005; Haihong Tang; Jun Yu 002 (IEEE Trans. Multim., 2024)

ENCODE: Breaking the Trade-Off Between Performance and Efficiency in Long-Term User Behavior Modeling. - Wen-Ji Zhou; Yuhang Zheng; Yinfu Feng; Yunan Ye; Rong Xiao 005; Long Chen 016; Xiaosong Yang; Jun Xiao 001 (IEEE Trans. Knowl. Data Eng., 2025)