| 2026 | SIGIR | Adaptive Mix Preference Optimization for Generative Recommendation. | Junbo Qi, Yanyan Zou, Xuanhua Yang, Sulong Xu, Ying Sun, Shengjie Li |
| 2026 | SIGIR | Breaking the Relevance-Diversity Seesaw: Hierarchical LLM Reasoning with RL for Industrial Novelty Recommendation. | Ying Sun, Yanyan Zou, Xiao Wang, Hanchuan Xu, Xuanhua Yang, Sulong Xu, Junbo Qi, Shengjie Li |
| 2026 | SIGIR | GenRec: A Preference-Oriented Generative Framework for Large-Scale Recommendation. | Yanyan Zou, Junbo Qi, Lunsong Huang, Yu Li, Kewei Xu, Jiahao Gao, Binglei Zhao, Xuanhua Yang, Sulong Xu, Shengjie Li |
| 2025 | SIGIR | Hierarchical User Long-term Behavior Modeling for Click-Through Rate Prediction. | Mao Pan, Xuanhua Yang, Nan Qiao, Dongyue Wang, Feng Mei, Xiwei Zhao, Sulong Xu |
| 2023 | SIGIR | Gradient Coordination for Quantifying and Maximizing Knowledge Transference in Multi-Task Learning. | Xuanhua Yang, Jianxin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | CIKM | AdaSparse: Learning Adaptively Sparse Structures for Multi-Domain Click-Through Rate Prediction. | Xuanhua Yang, Xiaoyu Peng, Penghui Wei, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | NAACL | CREATER: CTR-driven Advertising Text Generation with Controlled Pre-Training and Contrastive Fine-Tuning. | Penghui Wei, Xuanhua Yang, Shaoguo Liu, Liang Wang, Bo Zheng |
| 2022 | SIGIR | Towards Personalized Bundle Creative Generation with Contrastive Non-Autoregressive Decoding. | Penghui Wei, Shaoguo Liu, Xuanhua Yang, Liang Wang, Bo Zheng |