Diffusion Augmentation for Sequential Recommendation. - Qidong Liu 002; Fan Yan; Xiangyu Zhao 001; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Feng Tian 002 (CIKM, 2023)

Single-shot Feature Selection for Multi-task Recommendations. - Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Bo Chen 023; Huifeng Guo; Ruiming Tang; Zhenhua Dong (SIGIR, 2023)

UniEmbedding: Learning Universal Multi-Modal Multi-Domain Item Embeddings via User-View Contrastive Learning. - Boqi Dai; Zhaocheng Du; Jieming Zhu; Jintao Xu; Deqing Zou; Quanyu Dai; Zhenhua Dong; Rui Zhang 003; Hai-Tao Zheng 002 (CIKM, 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 001; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (KDD, 2024)

Multimodal Pretraining, Adaptation, and Generation for Recommendation: A Survey. - Qijiong Liu; Jieming Zhu; Yanting Yang; Quanyu Dai; Zhaocheng Du; Xiao-Ming Wu 003; Zhou Zhao 001; Rui Zhang 003; Zhenhua Dong (KDD, 2024)

A Tutorial on Feature Interpretation in Recommender Systems. - Zhaocheng Du; Chuhan Wu; Qinglin Jia; Jieming Zhu; Xu Chen 017 (RecSys, 2024)

Ranking-Aware Unbiased Post-Click Conversion Rate Estimation via AUC Optimization on Entire Exposure Space. - Yu Liu 083; Qinglin Jia; Shuting Shi; Chuhan Wu; Zhaocheng Du; Zheng Xie 001; Ruiming Tang; Muyu Zhang; Ming Li 005 (RecSys, 2024)

LightCS: Selecting Quadratic Feature Crosses in Linear Complexity. - Zhaocheng Du; Junhao Chen; Qinglin Jia; Chuhan Wu; Jieming Zhu; Zhenhua Dong; Ruiming Tang (WWW (Companion Volume), 2024)

ERASE: Benchmarking Feature Selection Methods for Deep Recommender Systems. - Pengyue Jia; Yejing Wang; Zhaocheng Du; Xiangyu Zhao 001; Yichao Wang 002; Bo Chen 023; Wanyu Wang; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Retrievable Domain-Sensitive Feature Memory for Multi-Domain Recommendation. - Yuang Zhao; Zhaocheng Du; Qinglin Jia; Linxuan Zhang; Zhenhua Dong; Ruiming Tang (CoRR, 2024)

Prompt Tuning as User Inherent Profile Inference Machine. - Yusheng Lu; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Weiwen Liu; Yichao Wang 002; Huifeng Guo; Ruiming Tang; Zhenhua Dong; Yongrui Duan (CoRR, 2024)

AltFS: Agency-light Feature Selection with Large Language Models in Deep Recommender Systems. - Pengyue Jia; Zhaocheng Du; Yichao Wang 001; Xiangyu Zhao 001; Xiaopeng Li; Yuhao Wang 006; Qidong Liu 002; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li; Zhaocheng Du; Xiangyang Li; Xiangyu Zhao 001; Yichao Wang 002; Yuhao Wang 006; Huifeng Guo; Ruiming Tang (CoRR, 2024)

RecSys Arena: Pair-wise Recommender System Evaluation with Large Language Models. - Zhuo Wu; Qinglin Jia; Chuhan Wu; Zhaocheng Du; Shuai Wang 020; Zan Wang; Zhenhua Dong (CoRR, 2024)

SyNeg: LLM-Driven Synthetic Hard-Negatives for Dense Retrieval. - Xiaopeng Li; Xiangyang Li; Hao Zhang 048; Zhaocheng Du; Pengyue Jia; Yichao Wang 001; Xiangyu Zhao 001; Huifeng Guo; Ruiming Tang (CoRR, 2024)

Bridging Relevance and Reasoning: Rationale Distillation in Retrieval-Augmented Generation. - Pengyue Jia; Derong Xu; Xiaopeng Li; Zhaocheng Du; Xiangyang Li; Yichao Wang 001; Yuhao Wang 006; Qidong Liu 002; Maolin Wang 001; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (ACL (Findings), 2025)

Mitigating Source Bias with LLM Alignment. - Sunhao Dai; Yuqi Zhou 001; Liang Pang; Zhuoyang Li; Zhaocheng Du; Gang Wang 056; Jun Xu 001 (SIGIR, 2025)

MCNet: Monotonic Calibration Networks for Expressive Uncertainty Calibration in Online Advertising. - Quanyu Dai; Jiaren Xiao; Zhaocheng Du; Jieming Zhu; Chengxiao Luo; Xiao-Ming Wu 003; Zhenhua Dong (WWW, 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li; Yichao Wang 002; Xiangyang Li; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (WWW (Companion Volume), 2025)

Few-shot LLM Synthetic Data with Distribution Matching. - Jiyuan Ren; Zhaocheng Du; Zhihao Wen; Qinglin Jia; Sunhao Dai; Chuhan Wu; Zhenhua Dong (WWW (Companion Volume), 2025)

SampleLLM: Optimizing Tabular Data Synthesis in Recommendations. - Jingtong Gao; Zhaocheng Du; Xiaopeng Li; Yichao Wang 001; Xiangyang Li; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Inference Computation Scaling for Feature Augmentation in Recommendation Systems. - Weihao Liu; Zhaocheng Du; Haiyuan Zhao; Wenbo Zhang; Xiaoyan Zhao; Gang Wang 056; Zhenhua Dong; Jun Xu 001 (CoRR, 2025)

CHOP: Mobile Operating Assistant with Constrained High-frequency Optimized Subtask Planning. - Yuqi Zhou 001; Shuai Wang 020; Sunhao Dai; Qinglin Jia; Zhaocheng Du; Zhenhua Dong; Jun Xu 001 (CoRR, 2025)

A Survey of Personalization: From RAG to Agent. - Xiaopeng Li; Pengyue Jia; Derong Xu; Yi Wen 001; Yingyi Zhang; Wenlin Zhang; Wanyu Wang; Yichao Wang 002; Zhaocheng Du; Xiangyang Li; Yong Liu 020; Huifeng Guo; et al. (CoRR, 2025)

LSRP: A Leader-Subordinate Retrieval Framework for Privacy-Preserving Cloud-Device Collaboration. - Yingyi Zhang; Pengyue Jia; Xianneng Li; Derong Xu; Maolin Wang 001; Yichao Wang 002; Zhaocheng Du; Huifeng Guo; Yong Liu 020; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning. - Wenlin Zhang; Xiangyang Li; Kuicai Dong; Yichao Wang 002; Pengyue Jia; Xiaopeng Li; Yingyi Zhang; Derong Xu; Zhaocheng Du; Huifeng Guo; Ruiming Tang; Xiangyu Zhao 001 (CoRR, 2025)

TayFCS: Towards Light Feature Combination Selection for Deep Recommender Systems. - Xianquan Wang; Zhaocheng Du; Jieming Zhu; Chuhan Wu; Qinglin Jia; Zhenhua Dong (CoRR, 2025)