Zijian Zhang

According to our database, Zijian Zhang authored at least 59 papers between 2022 and 2026.

Collaborative distances:

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

2026

Beyond Benchmark Islands: Toward Representative Trustworthiness Evaluation for Agentic AI.

Jinhu Qi, Yifan Li, Minghao Zhao, Wentao Zhang, Zijian Zhang, Yaoman Li, Irwin King

CoRR, March, 2026

R2LED: Equipping Retrieval and Refinement in Lifelong User Modeling with Semantic IDs for CTR Prediction.

Qidong Liu, Gengnan Wang, Zhichen Liu, Moranxin Wang, Zijian Zhang, Xiao Han, Ni Zhang, Tao Qin, Chen Li

CoRR, February, 2026

Exploring Recommender System Evaluation: A Multi-Modal User Agent Framework for A/B Testing.

Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

CoRR, January, 2026

FedDis: A Causal Disentanglement Framework for Federated Traffic Prediction.

Chengyang Zhou, Zijian Zhang, Chunxu Zhang, Hao Miao, Yulin Zhang, Kedi Lyu, Juncheng Hu

Proceedings of the ACM Web Conference 2026, 2026

LLM-Enhanced Web-Centric Spatio-Temporal Intelligence: Methods, Applications, and Frontier Research.

Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Irwin King

Proceedings of the Companion Proceedings of the ACM Web Conference 2026, 2026

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation.

Chunxu Zhang, Shanqiang Huang, Zijian Zhang, Jiahong Liu, Linsong Yu, Ruiqi Wan, Bo Yang, Irwin King

Proceedings of the ACM Web Conference 2026, 2026

UrbanMoE: A Sparse Multi-Modal Mixture-of-Experts Framework for Multi-Task Urban Region Profiling.

Pingping Liu, Jiamiao Liu, Zijian Zhang, Hao Miao, Qi Jiang, Qingliang Li, Qiuzhan Zhou, Irwin King

Proceedings of the ACM Web Conference 2026, 2026

Exploring Recommender System Evaluation: A Multi-Modal LLM Agent Framework for A/B Testing.

Wenlin Zhang, Xiangyang Li, Qiyuan Ge, Kuicai Dong, Pengyue Jia, Xiaopeng Li, Zijian Zhang, Maolin Wang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization.

Yuanshao Zhu, Xiangyu Zhao, Zijian Zhang, Xuetao Wei, James Jianqiao Yu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Beyond Illumination: Fine-Grained Detail Preservation in Extreme Dark Image Restoration.

Tongshun Zhang, Pingping Liu, Zixuan Zhong, Zijian Zhang, Qiuzhan Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration.

Tongshun Zhang, Pingping Liu, Zijian Zhang, Qiuzhan Zhou

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

HyperD: Hybrid Periodicity Decoupling Framework for Traffic Forecasting.

Minlan Shao, Zijian Zhang, Yili Wang, Yiwei Dai, Xu Shen, Xin Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Breaking the Passive Learning Trap: An Active Perception Strategy for Human Motion Prediction.

Juncheng Hu, Zijian Zhang, Zeyu Wang, Guoyu Wang, Yingji Li, Kedi Lyu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

The Best of the Two Worlds: Harmonizing Semantic and Hash IDs for Sequential Recommendation.

Ziwei Liu, Yejing Wang, Qidong Liu, Zijian Zhang, Chong Chen, Wei Huang, Xiangyu Zhao

CoRR, December, 2025

Personalized Recommendation Models in Federated Settings: A Survey.

Chunxu Zhang, Guodong Long, Zijian Zhang, Zhiwei Li, Honglei Zhang, Qiang Yang, Bo Yang

IEEE Trans. Knowl. Data Eng., November, 2025

SPJFNet: Self-Mining Prior-Guided Joint Frequency Enhancement for Ultra-Efficient Dark Image Restoration.

Tongshun Zhang, Pingling Liu, Zijian Zhang, Qiuzhan Zhou

CoRR, August, 2025

BSMamba: Brightness and Semantic Modeling for Long-Range Interaction in Low-Light Image Enhancement.

Tongshun Zhang, Pingping Liu, Mengen Cai, Zijian Zhang, Yubing Lu, Qiuzhan Zhou

CoRR, June, 2025

A Contrastive Pretrain Model with Prompt Tuning for Multi-center Medication Recommendation.

Qidong Liu, Zhaopeng Qiu, Xiangyu Zhao, Xian Wu, Zijian Zhang, Tong Xu, Feng Tian

ACM Trans. Inf. Syst., May, 2025

Web-Centric Human Mobility Analytics: Methods, Applications, and Future Directions in the LLM Era.

Zijian Zhang, Hao Miao, Yuxuan Liang, Yan Zhao, Xiao Han, Pengyue Jia, Bin Yang, Christian S. Jensen

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Learning from Spatio-Temporal Data in the LLM Era: Foundations, Models, and Emerging Trends.

Zijian Zhang, Xiao Han, Xiangyu Zhao, Chenjuan Guo, Bin Yang

Proceedings of the 19th International Symposium on Spatial and Temporal Data, 2025

Bridge the Domains: Large Language Models Enhanced Cross-domain Sequential Recommendation.

Qidong Liu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Howard Zhong, Chong Chen, Xiang Li, Wei Huang, Feng Tian

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

TimeEmb: A Lightweight Static-Dynamic Disentanglement Framework for Time Series Forecasting.

Mingyuan Xia, Chunxu Zhang, Zijian Zhang, Hao Miao, Qidong Liu, Yuanshao Zhu, Bo Yang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Large Language Model Enhanced Recommender Systems: Methods, Applications and Trends.

Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

CWNet: Causal Wavelet Network for Low-Light Image Enhancement.

Tongshun Zhang, Pingping Liu, Yubing Lu, Mengen Cai, Zijian Zhang, Zhe Zhang, Qiuzhan Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach.

Chunxu Zhang, Guodong Long, Hongkuan Guo, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

LLM-Powered User Simulator for Recommender System.

Zijian Zhang, Shuchang Liu, Ziru Liu, Rui Zhong, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Qidong Liu, Peng Jiang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.

Xiao Han, Zijian Zhang, Xiangyu Zhao, Yuanshao Zhu, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Large Language Model Enhanced Recommender Systems: Taxonomy, Trend, Application and Future.

Qidong Liu, Xiangyu Zhao, Yuhao Wang, Yejing Wang, Zijian Zhang, Yuqi Sun, Xiang Li, Maolin Wang, Pengyue Jia, Chong Chen, Wei Huang, Feng Tian

CoRR, 2024

GPRec: Bi-level User Modeling for Deep Recommenders.

Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu

CoRR, 2024

GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching.

Xiao Han, Zijian Zhang, Xiangyu Zhao, Guojiang Shen, Xiangjie Kong, Xuetao Wei, Liqiang Nie, Jieping Ye

CoRR, 2024

LLM-enhanced Reranking in Recommender Systems.

Jingtong Gao, Bo Chen, Xiangyu Zhao, Weiwen Liu, Xiangyang Li, Yichao Wang, Zijian Zhang, Wanyu Wang, Yuyang Ye, Shanru Lin, Huifeng Guo, Ruiming Tang

CoRR, 2024

Large Language Models Enhanced Sequential Recommendation for Long-tail User and Item.

Qidong Liu, Xian Wu, Xiangyu Zhao, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng

CoRR, 2024

M3oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai

CoRR, 2024

Large Language Model Distilling Medication Recommendation Model.

Qidong Liu, Xian Wu, Xiangyu Zhao, Yuanshao Zhu, Zijian Zhang, Feng Tian, Yefeng Zheng

CoRR, 2024

EASRec: Elastic Architecture Search for Efficient Long-term Sequential Recommender Systems.

Sheng Zhang, Maolin Wang, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Ruocheng Guo, Xiangyu Zhao, Zijian Zhang, Hongzhi Yin

CoRR, 2024

When Federated Recommendation Meets Cold-Start Problem: Separating Item Attributes and User Interactions.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang

Proceedings of the ACM on Web Conference 2024, 2024

M³oE: Multi-Domain Multi-Task Mixture-of Experts Recommendation Framework.

Zijian Zhang, Shuchang Liu, Jiaao Yu, Qingpeng Cai, Xiangyu Zhao, Chunxu Zhang, Ziru Liu, Qidong Liu, Hongwei Zhao, Lantao Hu, Peng Jiang, Kun Gai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Sequential Recommendation for Optimizing Both Immediate Feedback and Long-term Retention.

Ziru Liu, Shuchang Liu, Zijian Zhang, Qingpeng Cai, Xiangyu Zhao, Kesen Zhao, Lantao Hu, Peng Jiang, Kun Gai

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

DNS-Rec: Data-aware Neural Architecture Search for Recommender Systems.

Sheng Zhang, Maolin Wang, Xiangyu Zhao, Ruocheng Guo, Yao Zhao, Chenyi Zhuang, Jinjie Gu, Zijian Zhang, Hongzhi Yin

Proceedings of the 18th ACM Conference on Recommender Systems, 2024

LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation.

Qidong Liu, Xian Wu, Yejing Wang, Zijian Zhang, Feng Tian, Yefeng Zheng, Xiangyu Zhao

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

ControlTraj: Controllable Trajectory Generation with Topology-Constrained Diffusion Model.

Yuanshao Zhu, James Jian Qiao Yu, Xiangyu Zhao, Qidong Liu, Yongchao Ye, Wei Chen, Zijian Zhang, Xuetao Wei, Yuxuan Liang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GPFedRec: Graph-Guided Personalization for Federated Recommendation.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Zijian Zhang, Peng Yan, Bo Yang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Modeling User Retention through Generative Flow Networks.

Ziru Liu, Shuchang Liu, Bin Yang, Zhenghai Xue, Qingpeng Cai, Xiangyu Zhao, Zijian Zhang, Lantao Hu, Han Li, Peng Jiang

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Federated Adaptation for Foundation Model-based Recommendations.

Chunxu Zhang, Guodong Long, Hongkuan Guo, Xiao Fang, Yang Song, Zhaojie Liu, Guorui Zhou, Zijian Zhang, Yang Liu, Bo Yang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Bi-Level User Modeling for Deep Recommenders.

Yejing Wang, Dong Xu, Xiangyu Zhao, Zhiren Mao, Peng Xiang, Ling Yan, Yao Hu, Zijian Zhang, Xuetao Wei, Qidong Liu

Proceedings of the IEEE International Conference on Data Mining, 2024

Efficient and Robust Regularized Federated Recommendation.

Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

LaenNet: Learning robust GCNs by propagating labels.

Chunxu Zhang, Ximing Li, Hongbin Pei, Zijian Zhang, Bing Liu, Bo Yang

Neural Networks, November, 2023

BO-Aug: learning data augmentation policies via Bayesian optimization.

Chunxu Zhang, Ximing Li, Zijian Zhang, Jiaxu Cui, Bo Yang

Appl. Intell., April, 2023

IFedRec: Item-Guided Federated Aggregation for Cold-Start.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Xiangyu Zhao, Zijian Zhang, Bo Yang

CoRR, 2023

Graph-guided Personalization for Federated Recommendation.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Bo Yang

CoRR, 2023

MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations.

Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu

Proceedings of the ACM Web Conference 2023, 2023

AutoMLP: Automated MLP for Sequential Recommendations.

Muyang Li, Zijian Zhang, Xiangyu Zhao, Wanyu Wang, Minghao Zhao, Runze Wu, Ruocheng Guo

Proceedings of the ACM Web Conference 2023, 2023

Dual Personalization on Federated Recommendation.

Chunxu Zhang, Guodong Long, Tianyi Zhou, Peng Yan, Zijian Zhang, Chengqi Zhang, Bo Yang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction.

Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MLPST: MLP is All You Need for Spatio-Temporal Prediction.

Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting.

Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Counterfactual Adversarial Learning for Recommendation.

Jialin Liu, Zijian Zhang, Xiangyu Zhao, Jun Li

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoSTL: Automated Spatio-Temporal Multi-Task Learning.

Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao, Junbo Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

MAE4Rec: Storage-saving Transformer for Sequential Recommendations.

Kesen Zhao, Xiangyu Zhao, Zijian Zhang, Muyang Li

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022