| 2026 | ICDE | REG4Rec: Reasoning-Enhanced Generative Model for Large-Scale Recommendation Systems. | Haibo Xing, Hao Deng, Yucheng Mao, Lingyu Mu, Jinxin Hu, Yi Xu, Hao Zhang, Jiahao Wang, Shizhun Wang, Yu Zhang, Xiaoyi Zeng, Jing Zhang |
| 2026 | WWW | Infer As You Train: A Symmetric Paradigm of Masked Generative for Click-Through Rate Prediction. | Moyu Zhang, Yujun Jin, Yun Chen, Jinxin Hu, Yu Zhang, Xiaoyi Zeng |
| 2026 | SIGIR | RCLRec: Reverse Curriculum Learning for Modeling Sparse Conversions in Generative Recommendation. | Yulei Huang, Hao Deng, Haibo Xing, Jinxin Hu, Chuanfei Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng |
| 2026 | SIGIR | LWGR: Lagrangian-Constrained Personalized World Knowledge for Generative Recommendation. | Lingyu Mu, Hao Deng, Haibo Xing, Kaican Lin, Zhitong Zhu, Zhengxiao Liu, Zheng Lin, Xiaoyi Zeng, Yu Zhang, Jinxin Hu |
| 2026 | SIGIR | Counterfactual Multi-task Learning for Delayed Conversion Modeling in E-commerce Sales Pre-Promotion. | Xin Song, Kaiyuan Li, Jinxin Hu |
| 2026 | WSDM | MMQ: Multimodal Mixture-of-Quantization Tokenization for Semantic ID Generation and User Behavioral Adaptation. | Yi Xu, Moyu Zhang, Chenxuan Li, Zhihao Liao, Haibo Xing, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng, Jing Zhang |
| 2025 | CIKM | Global-Distribution Aware Scenario-Specific Variational Representation Learning Framework. | Moyu Zhang, Yujun Jin, Jinxin Hu, Yu Zhang |
| 2025 | CIKM | Distribution-Guided Auto-Encoder for User Multimodal Interest Cross Fusion. | Moyu Zhang, Yongxiang Tang, Yujun Jin, Jinxin Hu, Yu Zhang |
| 2025 | WWW | ESANS: Effective and Semantic-Aware Negative Sampling for Large-Scale Retrieval Systems. | Haibo Xing, Kanefumi Matsuyama, Hao Deng, Jinxin Hu, Yu Zhang, Xiaoyi Zeng |
| 2025 | SIGIR | HeterRec: Heterogeneous Information Transformer for Scalable Sequential Recommendation. | Hao Deng, Haibo Xing, Kanefumi Matsuyama, Yulei Huang, Jinxin Hu, Hong Wen, Jia Xu, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang |
| 2025 | SIGIR | CSMF: Cascaded Selective Mask Fine-Tuning for Multi-Objective Embedding-Based Retrieval. | Hao Deng, Haibo Xing, Kanefumi Matsuyama, Moyu Zhang, Jinxin Hu, Hong Wen, Yu Zhang, Xiaoyi Zeng, Jing Zhang |
| 2025 | SIGIR | LREA: Low-Rank Efficient Attention on Modeling Long-Term User Behaviors for CTR Prediction. | Xin Song, Xiaochen Li, Jinxin Hu, Hong Wen, Zulong Chen, Yu Zhang, Xiaoyi Zeng, Jing Zhang |
| 2024 | SIGIR | Scenario-Adaptive Fine-Grained Personalization Network: Tailoring User Behavior Representation to the Scenario Context. | Moyu Zhang, Yongxiang Tang, Jinxin Hu, Yu Zhang |
| 2022 | CIKM | Scenario-Adaptive and Self-Supervised Model for Multi-Scenario Personalized Recommendation. | Yuanliang Zhang, Xiaofeng Wang, Jinxin Hu, Ke Gao, Chenyi Lei, Fei Fang |
| 2022 | CIKM | SASNet: Stage-aware Sequential Matching for Online Travel Recommendation. | Fanwei Zhu, Zulong Chen, Fan Zhang, Jiazhen Lou, Hong Wen, Shui Liu, Qi Rao, Tengfei Yuan, Shenghua Ni, Jinxin Hu, Fuzhen Sun, Quan Lu |