| 2024 | On-Device Recommender Systems: A Tutorial on The New-Generation Recommendation Paradigm. | Hongzhi Yin, Tong Chen, Liang Qu, Bin Cui |
| 2024 | Towards Cross-Table Masked Pretraining for Web Data Mining. | Chao Ye, Guoshan Lu, Haobo Wang, Liyao Li, Sai Wu, Gang Chen, Junbo Zhao |
| 2024 | Susceptibility to Unreliable Information Sources: Swift Adoption with Minimal Exposure. | Jinyi Ye, Luca Luceri, Julie Jiang, Emilio Ferrara |
| 2024 | MileCut: A Multi-view Truncation Framework for Legal Case Retrieval. | Fuda Ye, Shuangyin Li |
| 2024 | Interface Illusions: Uncovering the Rise of Visual Scams in Cryptocurrency Wallets. | Guoyi Ye, Geng Hong, Yuan Zhang, Min Yang |
| 2024 | 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 |
| 2024 | MuGSI: Distilling GNNs with Multi-Granularity Structural Information for Graph Classification. | Tianjun Yao, Jiaqi Sun, Defu Cao, Kun Zhang, Guangyi Chen |
| 2024 | Can LLM Substitute Human Labeling? A Case Study of Fine-grained Chinese Address Entity Recognition Dataset for UAV Delivery. | Yuxuan Yao, Sichun Luo, Haohan Zhao, Guanzhi Deng, Linqi Song |
| 2024 | Recommender Transformers with Behavior Pathways. | Zhiyu Yao, Xinyang Chen, Sinan Wang, Qinyan Dai, Yumeng Li, Tanchao Zhu, Mingsheng Long |
| 2024 | Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. | Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long |
| 2024 | UrbanCLIP: Learning Text-enhanced Urban Region Profiling with Contrastive Language-Image Pretraining from the Web. | Yibo Yan, Haomin Wen, Siru Zhong, Wei Chen, Haodong Chen, Qingsong Wen, Roger Zimmermann, Yuxuan Liang |
| 2024 | Robust Route Planning under Uncertain Pickup Requests for Last-mile Delivery. | Hua Yan, Heng Tan, Haotian Wang, Desheng Zhang, Yu Yang |
| 2024 | PaCEr: Network Embedding From Positional to Structural. | Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong |
| 2024 | MentaLLaMA: Interpretable Mental Health Analysis on Social Media with Large Language Models. | Kailai Yang, Tianlin Zhang, Ziyan Kuang, Qianqian Xie, Jimin Huang, Sophia Ananiadou |
| 2024 | A New Creative Generation Pipeline for Click-Through Rate with Stable Diffusion Model. | Hao Yang, Jianxin Yuan, Shuai Yang, Linhe Xu, Shuo Yuan, Yifan Zeng |
| 2024 | Calibrating Graph Neural Networks from a Data-centric Perspective. | Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou |
| 2024 | SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. | Ruiyi Yang, Flora D. Salim, Hao Xue |
| 2024 | Fighting against Fake News on Newly-Emerging Crisis: A Case Study of COVID-19. | Migyeong Yang, Chaewon Park, Jiwon Kang, Daeun Lee, Daejin Choi, Jinyoung Han |
| 2024 | Detecting Illicit Food Factories from Chemical Declaration Data via Graph-aware Self-supervised Contrastive Anomaly Ranking. | Sheng-Fang Yang, Cheng-Te Li |
| 2024 | Not All Embeddings are Created Equal: Towards Robust Cross-domain Recommendation via Contrastive Learning. | Wenhao Yang, Yingchun Jian, Yibo Wang, Shiyin Lu, Lei Shen, Bing Wang, Haihong Tang, Lijun Zhang |
| 2024 | GAUSS: GrAph-customized Universal Self-Supervised Learning. | Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, Bingxin Niu, Yuanfang Guo |
| 2024 | Federated Heterogeneous Graph Neural Network for Privacy-preserving Recommendation. | Bo Yan, Yang Cao, Haoyu Wang, Wenchuan Yang, Junping Du, Chuan Shi |
| 2024 | Enabling Pre-Shock State Detection using Electrogram Signals from Implantable Cardioverter-Defibrillators. | Runze Yan, Neal K. Bhatia, Faisal M. Merchant, Alex Fedorov, Ran Xiao, Cheng Ding, Xiao Hu |
| 2024 | Fake Resume Attacks: Data Poisoning on Online Job Platforms. | Michiharu Yamashita, Thanh Tran, Dongwon Lee |
| 2024 | Incentives in the Ether: Practical Cryptocurrency Economics & Security. | Aviv Yaish |