Jianjin Zhang

According to our database, Jianjin Zhang authored at least 19 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

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, Yudong Zhang

CoRR, April, 2026

MSA: Memory Sparse Attention for Efficient End-to-End Memory Model Scaling to 100M Tokens.

Yu Chen, Runkai Chen, Sheng Yi, Xinda Zhao, Xiaohong Li, Jianjin Zhang, Jun Sun, Chuanrui Hu, Yunyun Han, Lidong Bing, Yafeng Deng, Tianqiao Chen

CoRR, March, 2026

AdNanny: One Reasoning LLM for All Offline Ads Recommendation Tasks.

Nan Hu, Han Li, Jimeng Sun, Lu Wang, Fangkai Yang, Bo Qiao, Pu Zhao, David Dai, Mengyu Liu, Yuefeng Zhan, Jianjin Zhang, Weihao Han, Allen Sun, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Denvy Deng, Feng Sun, Qi Zhang

CoRR, February, 2026

2025

RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning.

Mingrui Wu, Lu Wang, Pu Zhao, Fangkai Yang, Jianjin Zhang, Jianfeng Liu, Yuefeng Zhan, Weihao Han, Hao Sun, Jiayi Ji, Xiaoshuai Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang, Rongrong Ji

CoRR, May, 2025

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

Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

2024

Unleash LLMs Potential for Recommendation by Coordinating Twin-Tower Dynamic Semantic Token Generator.

Jun Yin, Zhengxin Zeng, Mingzheng Li, Hao Yan, Chaozhuo Li, Weihao Han, Jianjin Zhang, Ruochen Liu, Allen Sun, Denvy Deng, Feng Sun, Qi Zhang, Shirui Pan, Senzhang Wang

CoRR, 2024

2023

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning.

Yunbo Wang, Haixu Wu, Jianjin Zhang, Zhifeng Gao, Jianmin Wang, Philip S. Yu, Mingsheng Long

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Are GPT Embeddings Useful for Ads and Recommendation?

Wenjun Peng, Derong Xu, Tong Xu, Jianjin Zhang, Enhong Chen

Proceedings of the Knowledge Science, Engineering and Management, 2023

2022

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, Denvy Deng, Qi Zhang, Xing Xie

CoRR, 2022

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, Denvy Deng, Qi Zhang, Xing Xie

CoRR, 2022

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

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

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

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

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

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2020

Towards Good Practices of U-Net for Traffic Forecasting.

Jingwei Xu, Jianjin Zhang, Zhiyu Yao, Yunbo Wang

CoRR, 2020

Traffic4cast at NeurIPS 2020 ? yet more on theunreasonable effectiveness of gridded geo-spatial processes.

Michael Kopp, David P. Kreil, Moritz Neun, David Jonietz, Henry Martin, Pedro Herruzo, Aleksandra Gruca, Ali Soleymani, Fanyou Wu, Yang Liu, Jingwei Xu, Jianjin Zhang, Jay Santokhi, Alabi Bojesomo, Hasan Al-Marzouqi, Panos Liatsis, Pak Hay Kwok, Qi Qi, Sepp Hochreiter

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

2019

Learning Fast Matching Models from Weak Annotations.

Xue Li, Zhipeng Luo, Hao Sun, Jianjin Zhang, Weihao Han, Xianqi Chu, Liangjie Zhang, Qi Zhang

Proceedings of the World Wide Web Conference, 2019

Z-Order Recurrent Neural Networks for Video Prediction.

Jianjin Zhang, Yunbo Wang, Mingsheng Long, Jianmin Wang, Philip S. Yu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

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

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019