A framework for massive scale personalized promotion. - Yitao Shen; Yue Wang; Xingyu Lu 004; Feng Qi; Jia Yan; Yixiang Mu; Yao Yang; Yifan Peng; Jinjie Gu (CoRR, 2021)

GreenFlow: A Computation Allocation Framework for Building Environmentally Sound Recommendation System. - Xingyu Lu 004; Zhining Liu 001; Yanchu Guan; Hongxuan Zhang; Chenyi Zhuang; Wenqi Ma; Yize Tan; Jinjie Gu; Guannan Zhang (IJCAI, 2023)

GreenSeq: Automatic Design of Green Networks for Sequential Recommendation Systems. - Yankun Ren; Xinxing Yang; Xingyu Lu 004; Longfei Li; Jun Zhou 011; Jinjie Gu; Guannan Zhang (SIGIR, 2023)

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting. - Shiyu Wang 001; Zhixuan Chu; Yinbo Sun; Yu Liu 071; Yuliang Guo; Yang Chen; Huiyang Jian; Lintao Ma; Xingyu Lu 004; Jun Zhou 011 (CIKM, 2024)

RL-ISLAP: A Reinforcement Learning Framework for Industrial-Scale Linear Assignment Problems at Alipay. - Hanjie Li; Yue Ning 005; Yang Bao 008; Changsheng Li; Boxiao Chen; Xingyu Lu 004; Ye Yuan 001; Guoren Wang (CIKM, 2024)

LASCA: A Large-Scale Stable Customer Segmentation Approach to Credit Risk Assessment. - Yongfeng Gu; Yupeng Wu; Huakang Lu; Xingyu Lu 004; Hong Qian; Jun Zhou 011; Aimin Zhou (KDD, 2024)

Cost-Efficient Fraud Risk Optimization with Submodularity in Insurance Claim. - Yupeng Wu; Zhibo Zhu; Chaoyi Ma; Hong Qian; Xingyu Lu 004; Yangwenhui Zhang; Xiaobo Qin; Binjie Fei; Jun Zhou 011; Aimin Zhou (KDD, 2024)

LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch. - Caigao Jiang; Xiang Shu; Hong Qian; Xingyu Lu 004; Jun Zhou 011; Aimin Zhou; Yang Yu (CoRR, 2024)

Robust Preference Optimization via Dynamic Target Margins. - Jie Sun 030; Junkang Wu; Jiancan Wu; Zhibo Zhu; Xingyu Lu 004; Jun Zhou 011; Lintao Ma; Xiang Wang 010 (ACL (Findings), 2025)