Black-Box Optimization via Generative Adversarial Nets. - Minfang Lu; Fengyang Sun; Lin Wang 004; Bo Yang 001; Shuangrong Liu (CoRR, 2021)

AdaptDHM: Adaptive Distribution Hierarchical Model for Multi-Domain CTR Prediction. - Jinyun Li; Huiwen Zheng; Yuanlin Liu; Minfang Lu; Lixia Wu; Haoyuan Hu (CoRR, 2022)

OPT-GAN: A Broad-Spectrum Global Optimizer for Black-Box Problems by Learning Distribution. - Minfang Lu; Shuai Ning; Shuangrong Liu; Fengyang Sun; Bo Zhang; Bo Yang 001; Lin Wang 004 (AAAI, 2023)

ADL: Adaptive Distribution Learning Framework for Multi-Scenario CTR Prediction. - Jinyun Li; Huiwen Zheng; Yuanlin Liu; Minfang Lu; Lixia Wu; Haoyuan Hu (SIGIR, 2023)

Robust Representation Learning for Unified Online Top-K Recommendation. - Minfang Lu; Yuchen Jiang; Huihui Dong; Qi Li; Ziru Xu; Yuanlin Liu; Lixia Wu; Haoyuan Hu; Han Zhu 001; Yuning Jiang 001; Jian Xu 015; Bo Zheng 007 (CoRR, 2023)

Learning Adaptive Reserve Price in Display Advertising. - Kun Hu; Shumin Zhang; Lixia Wu; Yongjun Dai; Minfang Lu; Yuting Qiang; Minglong Li (KDD (1), 2025)