Xingyu Lou

According to our database, Xingyu Lou authored at least 16 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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, Jun Wang, Zhuosheng Zhang

CoRR, August, 2025

MobileUse: A GUI Agent with Hierarchical Reflection for Autonomous Mobile Operation.

Ning Li, Xiangmou Qu, Jiamu Zhou, Jun Wang, Muning Wen, Kounianhua Du, Xingyu Lou, Qiuying Peng, Jun Wang, Weinan Zhang

CoRR, July, 2025

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation.

Shengjia Zhang, Junjie Wu, Jiawei Chen, Changwang Zhang, Xingyu Lou, Wangchunshu Zhou, Sheng Zhou, Can Wang, Jun Wang

CoRR, June, 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, Can Wang

CoRR, May, 2025

TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation.

Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen

Proceedings of the ACM on Web Conference 2025, 2025

FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning.

Pengyang Zhou, Chaochao Chen, Weiming Liu, Xinting Liao, Fengyuan Yu, Zhihui Fu, Xingyu Lou, Wu Wen, Xiaolin Zheng, Jun Wang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 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, Tieyong Zeng, Chengwei He, Xiang Liu, Lilong Wei, Jun Wang

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender.

Bohao Wang, Feng Liu, Jiawei Chen, Xingyu Lou, Changwang Zhang, Jun Wang, Yuegang Sun, Yan Feng, Chun Chen, Can Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Training-free Periodic Interest Augmentation in Incremental Recommendation.

Heyuan Huang, Xingyu Lou, Changwang Zhang, Chaochao Chen, Kuiyao Dong, Feng Lu, Han Lei, Yihao Wang, Wangchunshu Zhou, Jun Wang

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

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

LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation.

Bohao Wang, Feng Liu, Jiawei Chen, Yudi Wu, Xingyu Lou, Jun Wang, Yan Feng, Chun Chen, Can Wang

CoRR, 2024

HMDN: Hierarchical Multi-Distribution Network for Click-Through Rate Prediction.

Xingyu Lou, Yu Yang, Kuiyao Dong, Heyuan Huang, Wenyi Yu, Ping Wang, Xiu Li, Jun Wang

CoRR, 2024

Knowledge-aware Dual-side Attribute-enhanced Recommendation.

Taotian Pang, Xingyu Lou, Fei Zhao, Zhen Wu, Kuiyao Dong, Qiuying Peng, Yue Qi, Xinyu Dai

CoRR, 2024

DIIT: A Domain-Invariant Information Transfer Method for Industrial Cross-Domain Recommendation.

Heyuan Huang, Xingyu Lou, Chaochao Chen, Pengxiang Cheng, Yue Xin, Chengwei He, Xiang Liu, Jun Wang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2021

Improving Dialogue Response Generation Via Knowledge Graph Filter.

Yanmeng Wang, Ye Wang, Xingyu Lou, Wenge Rong, Zhenghong Hao, Shaojun Wang

Proceedings of the IEEE International Conference on Acoustics, 2021

2019

Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators.

Zhongliang Li, Tian Xia, Xingyu Lou, Kaihe Xu, Shaojun Wang, Jing Xiao

Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019