JIEMING ZHU

Length-Adaptive Interest Network for Balancing Long and Short Sequence Modeling in CTR Prediction, Zhicheng Zhang, Zhaocheng Du, Jieming Zhu^✉, Jiwei Tang, Fengyuan Lu, Wang Jiaheng, Song-Li Wu, Qianhui Zhu, Jingyu Li, Hai-Tao Zheng^✉, Zhenhua Dong. In AAAI 2026.

FCN: Fusing Exponential and Linear Cross Network for Click-Through Rate Prediction, Honghao Li, Yiwen Zhang, Yi Zhang, Hanwei Li, Lei Sang, Jieming Zhu. In KDD 2026.

RecBase: Generative Foundation Model Pretraining for Zero-Shot Recommendation, Sashuai Zhou, Weinan Gan, Qijiong Liu, Ke Lei, Jieming Zhu^✉, Hai Huang, Yan Xia, Ruiming Tang, Zhenhua Dong, Zhou Zhao^✉. In EMNLP 2025.

Revisiting Feature Interactions from the Perspective of Quadratic Neural Networks for Click-through Rate Prediction, Honghao Li, Yiwen Zhang, Yi Zhang, Lei Sang, Jieming Zhu. In KDD 2025.

ROMA: Recommendation-Oriented Language Model Adaptation Using Multi-Modal Multi-Domain Item Sequences, Xingyu Lu, Jinpeng Wang, Jieming Zhu^✉, Zhicheng Zhang, Deqing Zou, Hai-Tao Zheng^✉, Shu-Tao Xia, Rui Zhang. In KDD 2025.

EAGER-LLM: Enhancing Large Language Models as Recommenders through Exogenous Behavior-Semantic Integration, Minjie Hong, Yan Xia, Zehan Wang, Jieming Zhu^#, Ye Wang, Sihang Cai, Xiaoda Yang, Quanyu Dai, Zhenhua Dong, Zhimeng Zhang, Zhou Zhao. In WWW 2025.

EAGER: Two-Stream Generative Recommender with Behavior-Semantic Collaboration, Ye Wang, Jiahao Xun, Minjie Hong, Jieming Zhu^✉, Tao Jin, Wang Lin, Haoyuan Li, Linjun Li, Yan Xia, Zhou Zhao^✉, Zhenhua Dong. In KDD 2024.

FINAL: Factorized Interaction Layer for CTR Prediction, Jieming Zhu, Qinglin Jia, Guohao Cai, Quanyu Dai, Jingjie Li, Zhenhua Dong, Ruiming Tang, Rui Zhang. In SIGIR 2023.

FinalMLP: An Enhanced Two-Stream MLP Model for CTR Prediction, Kelong Mao^*, Jieming Zhu^*, Liangcai Su, Guohao Cai, Yuru Li, Zhenhua Dong. In AAAI 2023.

BARS: Towards Open Benchmarking for Recommender Systems, Jieming Zhu, Quanyu Dai, Liangcai Su, Rong Ma, Jinyang Liu, Guohao Cai, Xi Xiao, Rui Zhang. In SIGIR 2022.

A Survey of Personalized Large Language Models: Progress and Future Directions, Jiahong Liu, Zexuan Qiu, Zhongyang Li, Quanyu Dai, Jieming Zhu, Minda Hu, Menglin Yang, Irwin King. In Arxiv 2025.

A Survey on the Memory Mechanism of Large Language Model based Agents, Zeyu Zhang, Xiaohe Bo, Chen Ma, Rui Li, Xu Chen, Quanyu Dai, Jieming Zhu, Zhenhua Dong, Ji-Rong Wen. In TOIS 2025.

MemSim: A Bayesian Simulator for Evaluating Memory of LLM-based Personal Assistants, Zeyu Zhang, Quanyu Dai, Luyu Chen, Zeren Jiang, Rui Li, Jieming Zhu, Xu Chen, Yi Xie, Zhenhua Dong, Ji-Rong Wen. In NeurIPS 2025.

Personalized Visual Content Generation in Conversational Systems, Xianquan Wang, Zhaocheng Du, Huibo Xu, Shukang Yin, Yupeng Han, Jieming Zhu, Kai Zhang, Qi Liu. In NeurIPS 2025.

ICG: Improving Cover Image Generation via MLLM-based Prompting and Personalized Preference Alignment, Zhipeng Bian, Jieming Zhu^✉, Qijiong Liu, Wang Lin, Guohao Cai, Zhaocheng Du, Jiacheng Sun, Zhou Zhao, Zhenhua Dong. In EMNLP 2025.

PMG: Personalized Multimodal Generation with Large Language Models, Xiaoteng Shen, Rui Zhang, Xiaoyan Zhao, Jieming Zhu^#, Xi Xiao. In WWW 2024.

Suit the Remedy to the Retriever: Interpretable Query Optimization with Retriever Preference Alignment for Vision-Language Retrieval, GuangHao Meng, Jinpeng Wang, Jieming Zhu, Letian Zhang, Yong Jiang, Dan Zhao, Qing Li. In AAAI 2026.

MIRA: Empowering One-Touch AI Services on Smartphones with MLLM-based Instruction Recommendation, Zhipeng Bian, Jieming Zhu^✉, Xuyang Xie, Quanyu Dai, Zhou Zhao, Zhenhua Dong. In ACL 2025.

CART: A Generative Cross-Modal Retrieval Framework With Coarse-To-Fine Semantic Modeling, Minghui Fang, Shengpeng Ji, Jialong Zuo, Hai Huang, Yan Xia, Jieming Zhu^✉, Xize Cheng, Xiaoda Yang, Wenrui Liu, Gang Wang, Zhenhua Dong, Zhou Zhao^✉. In ACL Findings 2025.

Enhancing Multimodal Unified Representations for Cross Modal Generalization, Hai Huang, Yan Xia, Shengpeng Ji, Shulei Wang, Hanting Wang, Minghui Fang, Jieming Zhu, Zhenhua Dong, Sashuai zhou, Zhou Zhao. In ACL 2025.

EvdCLIP: Improving Vision-Language Retrieval with Entity Visual Descriptions from Large Language Models, GuangHao Meng, Sunan He, Jinpeng Wang, Tao Dai, Letian Zhang, Jieming Zhu^#, Qing Li, Gang Wang, Rui Zhang, Yong Jiang. In AAAI 2025.

MART: Learning Hierarchical Music Audio Representations with Part-Whole Transformer, Dong Yao^*, Jieming Zhu^*, Jiahao Xun, Shengyu Zhang, Zhou Zhao, Liqun Deng, Wenqiao Zhang, Zhenhua Dong, Xin Jiang. In WWW 2024.

Achieving Cross Modal Generalization with Multimodal Unified Representation, Yan Xia, Hai Huang, Jieming Zhu^#, Zhou Zhao. In NeurIPS 2023.

Counterfactual Contrastive Learning for Weakly-Supervised Vision-Language Grounding, Zhu Zhang, Zhou Zhao, Zhijie Lin, Jieming Zhu, Xiuqiang He. In NeurIPS 2020.

➡️ SEE ALL PUBLICATIONS >>