Jianjin Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
7
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | DUET: Joint Exploration of User-Item Profiles in Recommendation System. | Yue Chen, Yifei Sun, Lu Wang, Fangkai Yang, Pu Zhao, Minjie Hong, Yifei Dong, Minghua He, Nan Hu, Jianjin Zhang, Zhiwei Dai, Yuefeng Zhan, Weihao Han, Hao Sun, Qingwei Lin, Weiwei Deng, Feng Sun, Qi Zhang, Saravan Rajmohan, Dongmei Zhang |
| 2026 | SIGIR | HybridSparse: An End-to-End Hybrid Framework for Efficient Large-Scale Retrieval. | Haotong Bao, Jianjin Zhang, Weihao Han, Xue Wu, Qi Chen, Dongzhe Jiang, Zhengxin Zeng, Mingzheng Li, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang |
| 2025 | EMNLP | Alleviating Performance Degradation Caused by Out-of-Distribution Issues in Embedding-Based Retrieval. | Haotong Bao, Jianjin Zhang, Qi Chen, Weihao Han, Zhengxin Zeng, Ruiheng Chang, Mingzheng Li, Hao Sun, Weiwei Deng, Feng Sun, Qian Zhang |
| 2025 | WWW | Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism. | Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang |
| 2023 | KSEM | Are GPT Embeddings Useful for Ads and Recommendation? | Wenjun Peng, Derong Xu, Tong Xu, Jianjin Zhang, Enhong Chen |
| 2022 | KDD | Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search. | Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie |
| 2022 | WWW | Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval. | Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Yingxia Shao, Defu Lian, Chaozhuo Li, Hao Sun, Denvy Deng, Liangjie Zhang, Qi Zhang, Xing Xie |
| 2022 | SIGIR | Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings. | Shitao Xiao, Zheng Liu, Weihao Han, Jianjin Zhang, Defu Lian, Yeyun Gong, Qi Chen, Fan Yang, Hao Sun, Yingxia Shao, Xing Xie |
| 2019 | CVPR | Memory in Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity From Spatiotemporal Dynamics. | Yunbo Wang, Jianjin Zhang, Hongyu Zhu, Mingsheng Long, Jianmin Wang, Philip S. Yu |
| 2019 | WWW | Learning Fast Matching Models from Weak Annotations. | Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, Qi Zhang |