| 2024 | Acceleration-Guided Diffusion Model for Multivariate Time Series Imputation. | Xinyu Yang, Yu Sun, Shaoxu Song, Xiaojie Yuan, Xinyang Chen |
| 2024 | Common Sense Enhanced Knowledge-based Recommendation with Large Language Model. | Shenghao Yang, Weizhi Ma, Peijie Sun, Min Zhang, Qingyao Ai, Yiqun Liu, Mingchen Cai |
| 2024 | One Size Cannot Fit All: A Self-adaptive Dispatcher for Skewed Hash Join in Shared-Nothing RDBMSs. | Jinxin Yang, Hui Li, Wenlong Song, Yiming Si, Hui Zhang, Kankan Zhao, Kewei Wei, Yingfan Liu, Jiangtao Cui |
| 2024 | Two Heads Are Better Than One: Teaching MLPs with Multiple Graph Neural Networks via Knowledge Distillation. | Bo-Wei Yang, Ming-Yi Chang, Chia-Hsun Lu, Chih-Ya Shen |
| 2024 | Separating and Learning Latent Confounders to Enhancing User Preferences Modeling. | Hangtong Xu, Yuanbo Xu, Yongjian Yang |
| 2024 | Crowdsourcing Fraud Detection Over Heterogeneous Temporal MMMA Graph. | Zequan Xu, Qihang Sun, Shaofeng Hu, Jieming Shi, Hui Li |
| 2024 | scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding. | Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang |
| 2024 | Graph-Specific Schema-Guided Query Optimization. | Chaijun Xu, Yunlong Liang, Yu Zhang, Hairong Hu, Jingjing Huang, Kaiwei Li, Tao Wang, Yanyong Zhang |
| 2024 | AdpDM: Adaptive Data Model for Efficient Dynamic Management of Large-Scale High-Cardinality Time-Series Databases. | Ziyue Xu, Sutong Huang, Di Fei, Liping Yi, Chenfei Zhou, Gang Wang, Xiaoguang Liu, Xinyu Liu, Wenqing Yu, Zijing Wei, Shaozhi Liu |
| 2024 | Dual-view Enhanced Knowledge Contrastive Learning for Recommendation. | Weijun Xu, Fan Gao, Jinsong Su, Qingqiang Wu, Meihong Wang |
| 2024 | PKBC: A Product-Specific Knowledge base Taxonomy Framework. | Hao Xin, Lei Chen, Yanyan Shen |
| 2024 | Cost-Aware Outdated Facts Correction in the Knowledge Bases. | Hao Xin, Lei Chen, Yanyan Shen |
| 2024 | Reinforced Negative Sampling for Knowledge Graph Embedding. | Yushun Xie, Haiyan Wang, Le Wang, Lei Luo, Jianxin Li, Zhaoquan Gu |
| 2024 | A Verifiable Federated Learning Algorithm Supporting Distributed Pseudonym Tracking. | Haoran Xie, Yujue Wang, Yong Ding, Changsong Yang, Huiyong Wang, Hai Liang |
| 2024 | Style Controlling in Recommendation. | Ruobing Xie, Xin Chen, Su Yan, Jinghan Chen, Xu Zhang, Xingwu Sun, Leyu Lin, Zhanhui Kang |
| 2024 | Heterogeneous Hypergraph Polynomial Learning for Herb Recommendation. | Yao Xiao, Jin Liu, Guangyou Zhou |
| 2024 | ACEKV: An In-Memory Key-Value Store with Optimized Cuckoo Insertion. | Huijuan Xiao, Wenbin Bao, Kai Zhang, Zhenying He, Yinan Jing, X. Sean Wang |
| 2024 | MLDT: Multi-Level Decomposition for Complex Long-Horizon Robotic Task Planning with Open-Source Large Language Model. | Yike Wu, Jiatao Zhang, Nan Hu, Lanling Tang, Guilin Qi, Jun Shao, Jie Ren, Wei Song |
| 2024 | Characterizing the Influence of Topology on Graph Learning Tasks. | Kailong Wu, Yule Xie, Jiaxin Ding, Yuxiang Ren, Luoyi Fu, Xinbing Wang, Chenghu Zhou |
| 2024 | Contrasting Transformer and Hypergraph Network for Cooperative Sequential Recommendation. | Tongyu Wu, Jianfeng Qu, Deqing Wang, Zhiming Cui, Guanfeng Liu, Pengpeng Zhao |
| 2024 | Dual-Channel Dual-Scale Interactive Learning for the Prediction of Compound-Protein Interaction. | Zheyu Wu, Huifang Ma, Bin Deng, Zhixin Li, Liang Chang |
| 2024 | MatchBG: A Boundary Subgraph-Based Maximal Matching Algorithm for Bipartite Graphs. | Guang Wu, Xinbiao Gan |
| 2024 | Leveraging Evolution Patterns to Enhance Script Event Prediction by Large Language Models. | Shuchong Wei, Liangjun Zang, Xiaobin Zhang, Qianwen Liu, Songlin Hu |
| 2024 | Detecting Incoming Fake News in News Streams via Efficient Topic-Based Correlation. | Xiaomei Wei, Yongcheng Zhang, Ruohan Yang, Huan Wang |
| 2024 | LongSum: An Efficient Transformer for Long Document Summarization. | Jitong Wei, Yang Gao |