| 2024 | CIKM | Enhancing Click-through Rate Prediction in Recommendation Domain with Search Query Representation. | Yuening Wang, Man Chen, Yaochen Hu, Wei Guo, Yingxue Zhang, Huifeng Guo, Yong Liu, Mark Coates |
| 2023 | IJCAI | A Survey on User Behavior Modeling in Recommender Systems. | Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang |
| 2023 | WWW | Compressed Interaction Graph based Framework for Multi-behavior Recommendation. | Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang |
| 2022 | ICASSP | Dual Path Graph Convolutional Networks. | Yunhe Li, Yaochen Hu, Yingxue Zhang |
| 2022 | SIGIR | EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems. | Ishaan Kumar, Yaochen Hu, Yingxue Zhang |
| 2021 | CIKM | Graph Representation Learning via Adversarial Variational Bayes. | Yunhe Li, Yaochen Hu, Yingxue Zhang |
| 2020 | KDD | A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. | Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates |
| 2019 | KDD | FDML: A Collaborative Machine Learning Framework for Distributed Features. | Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou |
| 2018 | CIKM | A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp. | Yaochen Hu, Di Niu, Jianming Yang |
| 2017 | CLOUD | Latency reduction and load balancing in coded storage systems. | Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, Cheng Huang |
| 2016 | INFOCOM | Reducing access latency in erasure coded cloud storage with local block migration. | Yaochen Hu, Di Niu |
| 2014 | NOSSDAV | Server Selection and Topology Control for Multi-Party Video Conferences. | Shuopeng Zhang, Di Niu, Yaochen Hu, Fangming Liu |