| 2023 | DP-MHAN: A Disease Prediction Method Based on Metapath Aggregated Heterogeneous Graph Attention Networks. | Zhe Qu, Lizhen Cui, Yonghui Xu |
| 2023 | A Predictive Coding Approach to Multivariate Time Series Anomaly Detection. | Zhi Qi, Hong Xie, Mingsheng Shang |
| 2023 | Efficient Index-Based Regular Expression Matching with Optimal Query Plan Tree. | Tao Qiu, Xiaochun Yang, Bin Wang, Chuanyu Zong, Rui Zhu, Xiufeng Xia |
| 2023 | MixMBR: Contrastive Learning for Multi-behavior Recommendation. | Zhicheng Qiao, Hui Yan, Lei Han |
| 2023 | Speculation and Negation Scope Resolution via Machine Reading Comprehension Formulation with Data Augmentation. | Zhong Qian, Tiening Sun, Ting Zou, Peifeng Li, Qiaoming Zhu, Guodong Zhou |
| 2023 | KRec-C2: A Knowledge Graph Enhanced Recommendation with Context Awareness and Contrastive Learning. | Yingtao Peng, Zhendong Zhao, Aishan Maoliniyazi, Xiaofeng Meng |
| 2023 | MOEF: Modeling Occasion Evolution in Frequency Domain for Promotion-Aware Click-Through Rate Prediction. | Xiaofeng Pan, Yibin Shen, Jing Zhang, Xu He, Yang Huang, Hong Wen, Chengjun Mao, Bo Cao |
| 2023 | Accelerating Recommendation Inference via GPU Streams. | Yuean Niu, Zhizhen Xu, Chen Xu, Jiaqiang Wang |
| 2023 | Federated Learning with Emerging New Class: A Solution Using Isolation-Based Specification. | Xin Mu, Gongxian Zeng, Zhengan Huang |
| 2023 | Auto-TSA: An Automatic Time Series Analysis System Based on Meta-learning. | Tianyu Mu, Zhenli Sheng, Lekui Zhou, Hongzhi Wang |
| 2023 | JG2Time: A Learned Time Estimator for Join Operators Based on Heterogeneous Join-Graphs. | Hao Miao, Jiazun Chen, Yang Lin, Mo Xu, Yinjun Han, Jun Gao |
| 2023 | Decoupling Graph Neural Network with Contrastive Learning for Fraud Detection. | Lin Meng, Yuxiang Ren, Jiawei Zhang |
| 2023 | Two-stage Interest Calibration Network for Reranking Hotels. | Denghao Ma, Jiajia Sun, Yueguo Chen, Liang Shen, Genliang Yi |
| 2023 | Threat Action Extraction Based on Coreference Resolution. | Dengtian Mao, Ruike Zhao, Rui He, Pengyi He, Fanghui Ning, Lingqi Zeng |
| 2023 | Semantic-Driven Instance Generation for Table Question Answering. | Shuai Ma, Wenbin Jiang, Xiang Ao, Meng Tian, Xinwei Feng, Yajuan Lyu, Qiaoqiao She, Qing He |
| 2023 | Improving Hyper-relational Knowledge Graph Representation with Multi-grained Encoding. | Ting Ma, Longtao Huang, Hui Xue |
| 2023 | Category-Highlighting Transformer Network for Question Retrieval. | Denghao Ma, Li Chong, Yueguo Chen, Liang Shen |
| 2023 | A Three-Layer Attentional Framework Based on Similar Users for Dual-Target Cross-Domain Recommendation. | Jinhu Lu, Guohao Sun, Xiu Fang, Jian Yang, Wei He |
| 2023 | Towards a Cash-on-Delivery Management Solution Based on Blockchain, Smart Contracts, and NFT. | Hoang Huong Luong, Bao Q. Tran, Hieu M. Doan, Nguyen D. P. Trong, Hieu Le Van, Loc Van Cao Phu, Duy Nguyen Truong Quoc, Kiet T. Le, Nguyen H. Tran, Anh N. The, Huynh H. Nghia, Phuc Nguyen Trong, Khoa Tran Dang, Khiem Huynh Gia, Bang Le Khanh, Ngan N. T. Kim, Hong Khanh Vo |
| 2023 | Accurate and Efficient Trajectory-Based Contact Tracing with Secure Computation and Geo-Indistinguishability. | Maocheng Li, Yuxiang Zeng, Libin Zheng, Lei Chen, Qing Li |
| 2023 | Leveraging Interactive Paths for Sequential Recommendation. | Aoran Li, Yalei Zang, Yani Wang, Bohan Li |
| 2023 | Efficient and Accurate Range Counting on Privacy-Preserving Spatial Data Federation. | Maocheng Li, Yuxiang Zeng, Lei Chen |
| 2023 | Learned Bloom Filter for Multi-key Membership Testing. | Yunchuan Li, Ziwei Wang, Ruixin Yang, Yan Zhao, Rui Zhou, Kai Zheng |
| 2023 | Rewriting-Stego: Generating Natural and Controllable Steganographic Text with Pre-trained Language Model. | Fanxiao Li, Sixing Wu, Jiong Yu, Shuoxin Wang, Bingbing Song, Renyang Liu, Haoseng Lai, Wei Zhou |
| 2023 | Trajectory Representation Learning Based on Road Network Partition for Similarity Computation. | Jiajia Li, Mingshen Wang, Lei Li, Kexuan Xin, Wen Hua, Xiaofang Zhou |