| 2026 | WWW | BlossomRec: Block-level Fused Sparse Attention Mechanism for Sequential Recommendations. | Mengyang Ma, Xiaopeng Li, Wanyu Wang, Zhaocheng Du, Jingtong Gao, Pengyue Jia, Yuyang Ye, Yiqi Wang, Yunpeng Weng, Weihong Luo, Xiao Han, Xiangyu Zhao |
| 2025 | DASFAA | A Predict-Then-Optimize Customer Allocation Framework for Online Fund Recommendation. | Xing Tang, Yunpeng Weng, Fuyuan Lyu, Dugang Liu, Xiuqiang He |
| 2025 | ICML | Invariant Deep Uplift Modeling for Incentive Assignment in Online Marketing via Probability of Necessity and Sufficiency. | Zexu Sun, Qiyu Han, Hao Yang, Anpeng Wu, Minqin Zhu, Dugang Liu, Chen Ma, Yunpeng Weng, Xing Tang, Xiuqiang He |
| 2025 | KDD | Timing is Important: Risk-aware Fund Allocation based on Time-Series Forecasting. | Fuyuan Lyu, Linfeng Du, Yunpeng Weng, Qiufang Ying, Zhiyan Xu, Wen Zou, Haolun Wu, Xiuqiang He, Xing Tang |
| 2025 | SIGIR | Comprehending Knowledge Graphs with Large Language Models for Recommender Systems. | Ziqiang Cui, Yunpeng Weng, Xing Tang, Fuyuan Lyu, Dugang Liu, Xiuqiang He, Chen Ma |
| 2024 | CIKM | OptDist: Learning Optimal Distribution for Customer Lifetime Value Prediction. | Yunpeng Weng, Xing Tang, Zhenhao Xu, Fuyuan Lyu, Dugang Liu, Zexu Sun, Xiuqiang He |
| 2024 | DASFAA | Towards Effective and Efficient Multi-valued Treatment Uplift Modeling in Online Marketing. | Zexu Sun, Dugang Liu, Xing Tang, Yunpeng Weng, Xiuqiang He |
| 2024 | KDD | Rankability-enhanced Revenue Uplift Modeling Framework for Online Marketing. | Bowei He, Yunpeng Weng, Xing Tang, Ziqiang Cui, Zexu Sun, Liang Chen, Xiuqiang He, Chen Ma |
| 2024 | RecSys | End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling. | Zexu Sun, Hao Yang, Dugang Liu, Yunpeng Weng, Xing Tang, Xiuqiang He |
| 2023 | SIGIR | Curriculum Modeling the Dependence among Targets with Multi-task Learning for Financial Marketing. | Yunpeng Weng, Xing Tang, Liang Chen, Xiuqiang He |
| 2019 | TrustCom | Diffusion Convolutional Recurrent Neural Network with Rank Influence Learning for Traffic Forecasting. | Yujun Huang, Yunpeng Weng, Shuai Yu, Xu Chen |