| 2024 | Approximate Skyline Index for Constrained Shortest Pathfinding with Theoretical Guarantee. | Ziyi Liu, Lei Li, Mengxuan Zhang, Wen Hua, Xiaofang Zhou |
| 2024 | Reducing Resource Usage for Continuous Model Updating and Predictive Query Answering in Graph Streams. | Qu Liu, Adam King, Tingjian Ge |
| 2024 | Hierarchical Adaptive Pooling by Capturing High-order Dependency for Graph Representation Learning (Extended Abstract). | Ning Liu, Songlei Jian, Dongsheng Li, Yiming Zhang, Zhiquan Lai, Hongzuo Xu |
| 2024 | BOURNE: Bootstrapped Self-Supervised Learning Framework for Unified Graph Anomaly Detection. | Jie Liu, Mengting He, Xuequn Shang, Jieming Shi, Bin Cui, Hongzhi Yin |
| 2024 | SACH: Significant-Attributed Community Search in Heterogeneous Information Networks. | Yanghao Liu, Fangda Guo, Bingbing Xu, Peng Bao, Huawei Shen, Xueqi Cheng |
| 2024 | Effective Data Selection and Replay for Unsupervised Continual Learning. | Hanmo Liu, Shimin Di, Haoyang Li, Shuangyin Li, Lei Chen, Xiaofang Zhou |
| 2024 | DISCO: A Dynamically Configurable Sketch Framework in Skewed Data Streams. | Jiaqian Liu, Ran Ben Basat, Louis De Wardt, Haipeng Dai, Guihai Chen |
| 2024 | Graph Contrastive Learning for Truth Inference. | Hao Liu, Jiacheng Liu, Feilong Tang, Peng Li, Long Chen, Jiadi Yu, Yanmin Zhu, Min Gao, Yanqin Yang, Xiaofeng Hou |
| 2024 | CARGO: Crypto-Assisted Differentially Private Triangle Counting Without Trusted Servers. | Shang Liu, Yang Cao, Takao Murakami, Jinfei Liu, Masatoshi Yoshikawa |
| 2024 | PP-Stream: Toward High-Performance Privacy-Preserving Neural Network Inference via Distributed Stream Processing. | Qingxiu Liu, Qun Huang, Xiang Chen, Sa Wang, Wenhao Wang, Shujie Han, Patrick P. C. Lee |
| 2024 | LightTR: A Lightweight Framework for Federated Trajectory Recovery. | Ziqiao Liu, Hao Miao, Yan Zhao, Chenxi Liu, Kai Zheng, Huan Li |
| 2024 | Online Container Caching with Late-Warm for IoT Data Processing. | Guopeng Li, Haisheng Tan, Xuan Zhang, Chi Zhang, Ruiting Zhou, Zhenhua Han, Guoliang Chen |
| 2024 | GaussML: An End-to-End In-Database Machine Learning System. | Guoliang Li, Ji Sun, Lijie Xu, Shifu Li, Jiang Wang, Wen Nie |
| 2024 | Enhancing LSM-Tree Key-Value Stores for Read-Modify-Writes via Key-Delta Separation. | Jinhong Li, Yanjing Ren, Shujie Han, Patrick P. C. Lee |
| 2024 | Mitigating Subgroup Unfairness in Machine Learning Classifiers: A Data-Driven Approach. | Yin Lin, Samika Gupta, H. V. Jagadish |
| 2024 | Contrastive Graph Representations for Logical Formulas Embedding (Extended Abstract). | Qika Lin, Jun Liu, Lingling Zhang, Yudai Pan, Xin Hu, Fangzhi Xu, Hongwei Zeng |
| 2024 | Efficient Set-Based Order Dependency Discovery with a Level-Wise Hybrid Strategy. | Yihan Li, Ruifeng Li, Zijing Tan, Weidong Yang, Shuai Ma |
| 2024 | NewSP: A New Search Process for Continuous Subgraph Matching over Dynamic Graphs. | Ziming Li, Youhuan Li, Xinhuan Chen, Lei Zou, Yang Li, Xiaofeng Yang, Hongbo Jiang |
| 2024 | Hill-Cache: Adaptive Integration of Recency and Frequency in Caching with Hill-Climbing. | Yunfan Li, Huiqi Hu, Chaojing Lei, Xuan Zhou, Weining Qian |
| 2024 | Dual-Teacher De-Biasing Distillation Framework for Multi-Domain Fake News Detection. | Jiayang Li, Xuan Feng, Tianlong Gu, Liang Chang |
| 2024 | Multi-Modality is All You Need for Transferable Recommender Systems. | Youhua Li, Hanwen Du, Yongxin Ni, Pengpeng Zhao, Qi Guo, Fajie Yuan, Xiaofang Zhou |
| 2024 | E | Haoyang Li, Shimin Di, Lei Chen, Xiaofang Zhou |
| 2024 | GradGCL: Gradient Graph Contrastive Learning. | Ran Li, Shimin Di, Lei Chen, Xiaofang Zhou |
| 2024 | Quantum Algorithms for the Maximum K-Plex Problem. | Xiaofan Li, Gao Cong, Rui Zhou |
| 2024 | MergeSFL: Split Federated Learning with Feature Merging and Batch Size Regulation. | Yunming Liao, Yang Xu, Hongli Xu, Lun Wang, Zhiwei Yao, Chunming Qiao |