Qijie Shen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
8
Active years
2021–2026
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | LLM Collaborative Filtering: User-Item Graph as New Language. | Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Qijie Shen, Feiran Huang, Xiao Huang |
| 2026 | KDD | Macro Graph of Experts for Billion-Scale Multi-Task Recommendation. | Hongyu Yao, Zijin Hong, Hao Chen, Zhiqing Li, Qijie Shen, Zuobin Ying, Qihua Feng, Huan Gong, Feiran Huang |
| 2026 | WWW | AliBoostV2: CTR-Growth Balanced Boosting Framework in Billion-Scale Recommendation Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Xixian Wang, Zhibo Xiao, Dimin Wang, Jialin Zhu, Yuning Jiang, Feiran Huang, Hao Chen |
| 2026 | WWW | OMGRec: One-time Matching-based Generative Rerank with Permutation-level Modeling in E-commerce. | Junwei Xu, Zhibo Xiao, Chuxin Chen, Chengyu Lai, Qijie Shen, Jiuning Lin, Dimin Wang, Jialin Zhu, Xiao-Ping Zhang |
| 2025 | CIKM | Side Information Memory Network: Expanding the Breadth of User Behavior Sequences in Recommendation. | Zhoufan Kong, Fan Zhang, Qijie Shen, Junyan Qiu |
| 2025 | KDD | AliBoost: Ecological Boosting Framework in Alibaba Platform. | Qijie Shen, Yuanchen Bei, Zihong Huang, Jialin Zhu, Keqin Xu, Boya Du, Jiawei Tang, Yuning Jiang, Feiran Huang, Xiao Huang, Hao Chen |
| 2025 | WSDM | Large Language Model Simulator for Cold-Start Recommendation. | Feiran Huang, Yuanchen Bei, Zhenghang Yang, Junyi Jiang, Hao Chen, Qijie Shen, Senzhang Wang, Fakhri Karray, Philip S. Yu |
| 2024 | CIKM | Feedback Reciprocal Graph Collaborative Filtering. | Weijun Chen, Yuanchen Bei, Qijie Shen, Hao Chen, Xiao Huang, Feiran Huang |
| 2024 | KDD | Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks. | Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang |
| 2024 | WWW | Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. | Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang |
| 2023 | DASFAA | Cold-Start Based Multi-scenario Ranking Model for Click-Through Rate Prediction. | Peilin Chen, Hong Wen, Jing Zhang, Fuyu Lv, Zhao Li, Qijie Shen, Wanjie Tao, Ying Zhou, Chao Zhang |
| 2023 | KDD | Multi-factor Sequential Re-ranking with Perception-Aware Diversification. | Yue Xu, Hao Chen, Zefan Wang, Jianwen Yin, Qijie Shen, Dimin Wang, Feiran Huang, Lixiang Lai, Tao Zhuang, Junfeng Ge, Xia Hu |
| 2023 | KDD | Multi-channel Integrated Recommendation with Exposure Constraints. | Yue Xu, Qijie Shen, Jianwen Yin, Zengde Deng, Dimin Wang, Hao Chen, Lixiang Lai, Tao Zhuang, Junfeng Ge |
| 2023 | SIGIR | A Model-Agnostic Popularity Debias Training Framework for Click-Through Rate Prediction in Recommender System. | Fan Zhang, Qijie Shen |
| 2023 | SDM | A Linkage-based Doubly Imbalanced Graph Learning Framework for Face Clustering. | Huafeng Yang, Qijie Shen, Xingjian Chen, Fangyi Zhang, Rong Du |
| 2022 | CIKM | Hierarchically Fusing Long and Short-Term User Interests for Click-Through Rate Prediction in Product Search. | Qijie Shen, Hong Wen, Jing Zhang, Qi Rao |
| 2022 | CIKM | A Dual Channel Intent Evolution Network for Predicting Period-Aware Travel Intentions at Fliggy. | Wanjie Tao, Zhang-Hua Fu, Liangyue Li, Zulong Chen, Hong Wen, Yuanyuan Liu, Qijie Shen, Peilin Chen |
| 2022 | WWW | Deep Interest Highlight Network for Click-Through Rate Prediction in Trigger-Induced Recommendation. | Qijie Shen, Hong Wen, Wanjie Tao, Jing Zhang, Fuyu Lv, Zulong Chen, Zhao Li |
| 2021 | CIKM | SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios. | Qijie Shen, Wanjie Tao, Jing Zhang, Hong Wen, Zulong Chen, Quan Lu |