Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators. - Zhongliang Li; Tian Xia 004; Xingyu Lou; Kaihe Xu; Shaojun Wang; Jing Xiao 006 (AISTATS, 2019)

Improving Dialogue Response Generation Via Knowledge Graph Filter. - Yanmeng Wang; Ye Wang; Xingyu Lou; Wenge Rong; Zhenghong Hao; Shaojun Wang (ICASSP, 2021)

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation. - Heyuan Huang; Xingyu Lou; Chaochao Chen 001; Pengxiang Cheng 003; Yue Xin; Chengwei He; Xiang Liu; Jun Wang 020 (CIKM, 2024)

Knowledge-aware Dual-side Attribute-enhanced Recommendation. - Taotian Pang; Xingyu Lou; Fei Zhao 012; Zhen Wu 002; Kuiyao Dong; Qiuying Peng; Yue Qi; Xinyu Dai (CoRR, 2024)

HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction. - Xingyu Lou; Yu Yang 015; Kuiyao Dong; Heyuan Huang; Wenyi Yu; Ping Wang; Xiu Li 001; Jun Wang 012 (CoRR, 2024)

LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. - Bohao Wang; Feng Liu 047; Jiawei Chen 007; Yudi Wu; Xingyu Lou; Jun Wang 020; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

Adaptive Conditional Expert Selection Network for Multi-domain Recommendation. - Kuiyao Dong; Xingyu Lou; Feng Liu; Ruian Wang; Wenyi Yu; Ping Wang; Jun Wang (CoRR, 2024)

Training-free Periodic Interest Augmentation in Incremental Recommendation. - Heyuan Huang; Xingyu Lou; Changwang Zhang; Chaochao Chen 001; Kuiyao Dong; Feng Lu; Han Lei; Yihao Wang; Wangchunshu Zhou; Jun Wang 020 (SIGIR, 2025)

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. - Bohao Wang; Feng Liu 047; Jiawei Chen 007; Xingyu Lou; Changwang Zhang; Jun Wang 020; Yuegang Sun; Yan Feng; Chun Chen 001; Can Wang 001 (SIGIR, 2025)

Progressive Tasks Guided Multi-Source Network for Customer Lifetime Value Prediction in Online Advertising. - Zheng Pan; Xingyu Lou; Xiao Jin; Chiye Ou; Feng Liu 047; Tieyong Zeng; Chengwei He; Xiang Liu; Lilong Wei; Jun Wang 024 (WSDM, 2025)

FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning. - Pengyang Zhou; Chaochao Chen 001; Weiming Liu 005; Xinting Liao; Fengyuan Yu; Zhihui Fu; Xingyu Lou; Wu Wen; Xiaolin Zheng; Jun Wang 020 (WSDM, 2025)

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation. - Jiaqing Zhang; Mingjia Yin; Hao Wang 076; Yawen Li 001; Yuyang Ye 002; Xingyu Lou; Junping Du 001; Enhong Chen (WWW, 2025)

Field Matters: A lightweight LLM-enhanced Method for CTR Prediction. - Yu Cui; Feng Liu; Jiawei Chen; Xingyu Lou; Changwang Zhang; Jun Wang; Yuegang Sun; Xiaohu Yang 001; Can Wang (CoRR, 2025)

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation. - Shengjia Zhang; Junjie Wu; Jiawei Chen 007; Changwang Zhang; Xingyu Lou; Wangchunshu Zhou; Sheng Zhou 004; Can Wang 001; Jun Wang 020 (CoRR, 2025)

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation. - Ning Li 029; Xiangmou Qu; Jiamu Zhou; Jun Wang 012; Muning Wen; Kounianhua Du; Xingyu Lou; Qiuying Peng; Jun Wang 012; Weinan Zhang 001 (CoRR, 2025)

Quick on the Uptake: Eliciting Implicit Intents from Human Demonstrations for Personalized Mobile-Use Agents. - Zheng Wu; Heyuan Huang; Yanjia Yang; Yuanyi Song; Xingyu Lou; Weiwen Liu; Weinan Zhang 001; Jun Wang 012; Zhuosheng Zhang 001 (CoRR, 2025)