| 2024 | AAGenRec: A Novel Approach for Mitigating Inter-task Interference in Multi-task Optimization of Sequential Behavior Modeling. | Jiawei Zhang, Shimin Yang, Liang Shen |
| 2024 | Defense Against Model Extraction Attacks on Recommender Systems. | Sixiao Zhang, Hongzhi Yin, Hongxu Chen, Cheng Long |
| 2024 | IncMSR: An Incremental Learning Approach for Multi-Scenario Recommendation. | Kexin Zhang, Yichao Wang, Xiu Li, Ruiming Tang, Rui Zhang |
| 2024 | A Scalable Open-Source System for Segmenting Urban Areas with Road Networks. | Ming Zhang, Yanyan Li, Jianguo Duan, Jizhou Huang, Jingbo Zhou |
| 2024 | Maximizing Malicious Influence in Node Injection Attack. | Xiao Zhang, Peng Bao, Shirui Pan |
| 2024 | Multi-Granular Text Classification with Minimal Supervision. | Yunyi Zhang |
| 2024 | Automatic Extraction of Patterns in Digital News Articles of Femicides occurred in Mexico by Text Mining Techniques. | Jonathan Zrate-Cartas, Alejandro Molina-Villegas |
| 2024 | Linear Recurrent Units for Sequential Recommendation. | Zhenrui Yue, Yueqi Wang, Zhankui He, Huimin Zeng, Julian J. McAuley, Dong Wang |
| 2024 | PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization. | Ziqi Yuan, Haoyi Zhou, Tianyu Chen, Jianxin Li |
| 2024 | Lessons Learnt from Building Friend Recommendation Systems. | Jun Yu |
| 2024 | COTER: Conditional Optimal Transport meets Table Retrieval. | Xun Yao, Zhixin Zhang, Xinrong Hu, Jie (Jack) Yang, Yi Guo, Daniel (Dianliang) Zhu |
| 2024 | GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas. | Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen |
| 2024 | Unified Pretraining for Recommendation via Task Hypergraphs. | Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu |
| 2024 | Debiasing Sequential Recommenders through Distributionally Robust Optimization over System Exposure. | Jiyuan Yang, Yue Ding, Yidan Wang, Pengjie Ren, Zhumin Chen, Fei Cai, Jun Ma, Rui Zhang, Zhaochun Ren, Xin Xin |
| 2024 | Towards Alignment-Uniformity Aware Representation in Graph Contrastive Learning. | Rong Yan, Peng Bao, Xiao Zhang, Zhongyi Liu, Hui Liu |
| 2024 | Hierarchical Multimodal Pre-training for Visually Rich Webpage Understanding. | Hongshen Xu, Lu Chen, Zihan Zhao, Da Ma, Ruisheng Cao, Zichen Zhu, Kai Yu |
| 2024 | Making Small Language Models Better Multi-task Learners with Mixture-of-Task-Adapters. | Yukang Xie, Chengyu Wang, Junbing Yan, Jiyong Zhou, Feiqi Deng, Jun Huang |
| 2024 | Deep Evolutional Instant Interest Network for CTR Prediction in Trigger-Induced Recommendation. | Zhibo Xiao, Luwei Yang, Tao Zhang, Wen Jiang, Wei Ning, Yujiu Yang |
| 2024 | Vector Search with OpenAI Embeddings: Lucene Is All You Need. | Jasper Xian, Tommaso Teofili, Ronak Pradeep, Jimmy Lin |
| 2024 | Neural Kalman Filtering for Robust Temporal Recommendation. | Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang, Ning Gu |
| 2024 | Continuous-time Autoencoders for Regular and Irregular Time Series Imputation. | Hyowon Wi, Yehjin Shin, Noseong Park |
| 2024 | Unified Visual Preference Learning for User Intent Understanding. | Yihua Wen, Si Chen, Yu Tian, Wanxian Guan, Pengjie Wang, Hongbo Deng, Jian Xu, Bo Zheng, Zihao Li, Lixin Zou, Chenliang Li |
| 2024 | AutoPooling: Automated Pooling Search for Multi-valued Features in Recommendations. | He Wei, Yuekui Yang, Shaoping Ma, Haiyang Wu, Yangyang Tang, Meixi Liu, Yang Zhang |
| 2024 | LLMRec: Large Language Models with Graph Augmentation for Recommendation. | Wei Wei, Xubin Ren, Jiabin Tang, Qinyong Wang, Lixin Su, Suqi Cheng, Junfeng Wang, Dawei Yin, Chao Huang |
| 2024 | Distribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels. | Fali Wang, Tianxiang Zhao, Suhang Wang |