Large-scale User Visits Understanding and Forecasting with Deep Spatial-Temporal Tensor Factorization Framework. - Xiaoyang Ma; Lan Zhang 002; Lan Xu 001; Zhicheng Liu; Ge Chen; Zhili Xiao; Yang Wang; Zhengtao Wu (KDD, 2019)

A Request-level Guaranteed Delivery Advertising Planning: Forecasting and Allocation. - Hong Zhang; Lan Zhang 002; Lan Xu 001; Xiaoyang Ma; Zhengtao Wu; Cong Tang; Wei Xu; Yiguo Yang (KDD, 2020)

A Unified Guaranteed Impression Allocation Framework for Online Display Advertising. - Hong Zhang; Lan Zhang 002; Ju Huang; Anran Li 001; Haoran Cheng; Dongbo Huang; Lan Xu 001 (ICDM, 2022)

CONFLUX: A Request-level Fusion Framework for Impression Allocation via Cascade Distillation. - XiaoYu Wang 014; Bin Tan; Yonghui Guo; Tao Yang; Dongbo Huang; Lan Xu 001; Nikolaos M. Freris; Hao Zhou 001; Xiangyang Li 001 (KDD, 2022)

CLOCK: Online Temporal Hierarchical Framework for Multi-scale Multi-granularity Forecasting of User Impression. - XiaoYu Wang 014; Yonghui Guo; Xiaoyang Ma; Dongbo Huang; Lan Xu 001; Haisheng Tan; Hao Zhou 001; Xiang-Yang Li 001 (CIKM, 2023)

FedMix: Boosting with Data Mixture for Vertical Federated Learning. - Yihang Cheng 002; Lan Zhang 002; Junyang Wang 004; Xiaokai Chu; Dongbo Huang; Lan Xu 001 (ICDE, 2024)

Know in AdVance: Linear-Complexity Forecasting of Ad Campaign Performance with Evolving User Interest. - Xiaoyu Wang 014; Yonghui Guo; Hui Sheng; Peili Lv; Chi Zhou; Wei Huang; Shiqin Ta; Dongbo Huang; Xiujin Yang; Lan Xu 001; Hao Zhou 001; Yusheng Ji (KDD, 2024)

Utilizing Non-click Samples via Semi-supervised Learning for Conversion Rate Prediction. - Jiahui Huang; Lan Zhang 002; Junhao Wang; Shanyang Jiang; Dongbo Huang; Cheng Ding; Lan Xu 001 (RecSys, 2024)

Follow the LIBRA: Guiding Fair Policy for Unified Impression Allocation via Adversarial Rewarding. - Xiaoyu Wang 014; Yonghui Guo; Bin Tan; Tao Yang; Dongbo Huang; Lan Xu 001; Hao Zhou 001; Xiangyang Li 001 (WSDM, 2024)