| 2024 | Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. | Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen |
| 2024 | P-Rank+: A Scalable Efficient P-Rank Search Algorithm. | Maoyin Zhang, Weiren Yu |
| 2024 | Effective Utilization of Large-scale Unobserved Data in Recommendation Systems. | Feng Zhang, Yulin Xu, Hongjie Chen, Xu Yuan, Qingwen Liu, Yuning Jiang |
| 2024 | A GAIL Fine-Tuned LLM Enhanced Framework for Low-Resource Knowledge Graph Question Answering. | Zhiqiang Zhang, Liqiang Wen, Wen Zhao |
| 2024 | InfoMLP: Unlocking the Potential of MLPs for Semi-Supervised Learning with Structured Data. | Hengrui Zhang, Qitian Wu, Chenxiao Yang, Philip S. Yu |
| 2024 | Momentum Contrastive Bidirectional Encoding with Self-Distillation for Sequential Recommendation. | Dingyi Zhang, Haoyu Wenren, Yue Wang, Yingming Li |
| 2024 | HGCH: A Hyperbolic Graph Convolution Network Model for Heterogeneous Collaborative Graph Recommendation. | Lu Zhang, Ning Wu |
| 2024 | An Enhanced Batch Query Architecture in Real-time Recommendation. | Qiang Zhang, Zhipeng Teng, Disheng Wu, Jiayin Wang |
| 2024 | GongBu: Easily Fine-tuning LLMs for Domain-specific Adaptation. | Bolin Zhang, Yimin Tian, Shengwei Wang, Zhiying Tu, Dianhui Chu, Zhiqi Shen |
| 2024 | SAQRec: Aligning Recommender Systems to User Satisfaction via Questionnaire Feedback. | Kepu Zhang, Teng Shi, Sunhao Dai, Xiao Zhang, Yinfeng Li, Jing Lu, Xiaoxue Zang, Yang Song, Jun Xu |
| 2024 | EFVAE: Efficient Federated Variational Autoencoder for Collaborative Filtering. | Lu Zhang, Qian Rong, Xuanang Ding, Guohui Li, Ling Yuan |
| 2024 | ROLeR: Effective Reward Shaping in Offline Reinforcement Learning for Recommender Systems. | Yi Zhang, Ruihong Qiu, Jiajun Liu, Sen Wang |
| 2024 | MSKR: Advancing Multi-modal Structured Knowledge Representation with Synergistic Hard Negative Samples. | Shuili Zhang, Hongzhang Mu, Tingwen Liu, Qianqian Tong, Jiawei Sheng |
| 2024 | AI Agent for Information Retrieval: Generating and Ranking. | Yongfeng Zhang, Zhiwei Liu, Qingsong Wen, Linsey Pang, Wei Liu, Philip S. Yu |
| 2024 | Data Imputation from the Perspective of Graph Dirichlet Energy. | Weiqi Zhang, Guanlue Li, Jianheng Tang, Jia Li, Fugee Tsung |
| 2024 | Distilling Knowledge Based on Curriculum Learning for Temporal Knowledge Graph Embeddings. | Bin Zhang, Jiayin Li, Yuanfei Dai |
| 2024 | Evolving to the Future: Unseen Event Adaptive Fake News Detection on Social Media. | Jiajun Zhang, Zhixun Li, Qiang Liu, Shu Wu, Zilei Wang, Liang Wang |
| 2024 | Reformulating Conversational Recommender Systems as Tri-Phase Offline Policy Learning. | Gangyi Zhang, Chongming Gao, Hang Pan, Runzhe Teng, Ruizhe Li |
| 2024 | CYCLE: Cross-Year Contrastive Learning in Entity-Linking. | Pengyu Zhang, Congfeng Cao, Klim Zaporojets, Paul Groth |
| 2024 | Cost-Effective Framework with Optimized Task Decomposition and Batch Prompting for Medical Dialogue Summary. | Chi Zhang, Tao Chen, Jiehao Chen, Hao Wang, Jiyun Shi, Zhaojing Luo, Meihui Zhang |
| 2024 | Multi-view Temporal Knowledge Graph Reasoning. | Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang |
| 2024 | Mamba Retriever: Utilizing Mamba for Effective and Efficient Dense Retrieval. | Hanqi Zhang, Chong Chen, Lang Mei, Qi Liu, Jiaxin Mao |
| 2024 | VIER: Visual Imagination Enhanced Retrieval in Sponsored Search. | Yadong Zhang, Yuqing Song, Siyu Lu, Qiang Liu, Xingxing Wang |
| 2024 | DPCAG: A Community Affiliation Graph Generation Model for Preserving Group Relationships. | Xinjian Zhang, Bo Ning, Chengfei Liu |
| 2024 | Revisit Orthogonality in Graph-Regularized MLPs. | Hengrui Zhang, Shen Wang, Vassilis N. Ioannidis, Soji Adeshina, Jiani Zhang, Xiao Qin, Christos Faloutsos, Da Zheng, George Karypis, Philip S. Yu |