| 2023 | Flow-Based End-to-End Model for Hierarchical Time Series Forecasting via Trainable Attentive-Reconciliation. | Shiyu Wang, Yinbo Sun, Yan Wang, Fan Zhou, Lintao Ma, James Zhang, Yangfei Zheng |
| 2023 | A Self-decoupled Interpretable Prediction Framework for Highly-Variable Cloud Workloads. | Bingchao Wang, Xiaoyu Shi, Mingsheng Shang |
| 2023 | CLNIE: A Contrastive Learning Based Node Importance Evaluation Method for Knowledge Graphs with Few Labels. | Jingbo Wang, Yumeng Song, Yu Gu, Xiaohua Li, Fangfang Li |
| 2023 | TE-DyGE: Temporal Evolution-Enhanced Dynamic Graph Embedding Network. | Liping Wang, Yanyan Shen, Lei Chen |
| 2023 | Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. | Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen |
| 2023 | Analogy-Triple Enhanced Fine-Grained Transformer for Sparse Knowledge Graph Completion. | Shaofei Wang, Siying Li, Lei Zou |
| 2023 | Query2Trip: Dual-Debiased Learning for Neural Trip Recommendation. | Peipei Wang, Lin Li, Ru Wang, Xiaohui Tao |
| 2023 | Adversarial Learning Enhanced Social Interest Diffusion Model for Recommendation. | Jiaxi Wang, Haochen Li, Tong Mo, Weiping Li |
| 2023 | Cross-Modal Contrastive Learning for Event Extraction. | Shuo Wang, Meizhi Ju, Yunyan Zhang, Yefeng Zheng, Meng Wang, Guilin Qi |
| 2023 | ISTNet: Inception Spatial Temporal Transformer for Traffic Prediction. | Chu Wang, Jia Hu, Ran Tian, Xin Gao, Zhongyu Ma |
| 2023 | Fair and Privacy-Preserving Graph Neural Network. | Xuemin Wang, Tianlong Gu, Xuguang Bao, Liang Chang |
| 2023 | CHSR: Cross-view Learning from Heterogeneous Graph for Session-Based Recommendation. | Junchen Wang, Lei Duan, Runze Ma, Yidan Zhang, Zhaohang Luo |
| 2023 | Blood and Blood Products Management System Based on Blockchain, and NFT Technologies. | Hong Khanh Vo, Bao Q. Tran, Hieu M. Doan, Kiet T. Le, Nguyen D. P. Trong, Hieu Le Van, Loc Van Cao Phu, Duy Nguyen Truong Quoc, Nguyen H. Tran, The Anh Nguyen, Huynh H. Nghia, Phuc Nguyen Trong, Khoa Tran Dang, Khiem Huynh Gia, Bang Le Khanh, Ngan N. T. Kim, Huong Hoang Luong |
| 2023 | A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. | Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou |
| 2023 | Flowris: Managing Data Analysis Workflows for Conversational Agent. | Jiajia Sun, Juan Wang, Yueguo Chen, Xiongpai Qin |
| 2023 | Spatio-Textual Group Skyline Query. | Mengmeng Sun, Yiping Teng, Fanyou Zhao, Jiawei Qi, Dongyue Jiang, Chunlong Fan |
| 2023 | CECR: Collaborative Semantic Reasoning on the Cloud and Edge. | Lei Sun, Tenglong Ren, Xiaowang Zhang, Zhiyong Feng, Yuexian Hou |
| 2023 | Towards Efficient and Effective Transformers for Sequential Recommendation. | Wenqi Sun, Zheng Liu, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao |
| 2023 | Enhancing Knowledge Graph Attention by Temporal Modeling for Entity Alignment with Sparse Seeds. | Chenchen Sun, Yuyuan Jin, Derong Shen, Tiezheng Nie, Xite Wang, Yingyuan Xiao |
| 2023 | Explicit Assignment and Dynamic Pricing of Macro Online Tasks in Spatial Crowdsourcing. | Lin Sun, Yeqiao Hou, Zongpeng Li |
| 2023 | Customer Complaint Guided Fault Localization Based on Domain Knowledge Graph. | Shuoshuo Sun, Zhihua Chai, Rui Wu, Jiawei Jin, Yonggeng Wang, Wenhao Xu, Guilin Qi |
| 2023 | InstantChain: Enhancing Order-Execute Blockchain Systems for Latency-Sensitive Applications. | Jianfeng Shi, Heng Wu, Diaohan Luo, Heran Gao, Wenbo Zhang |
| 2023 | A Prompt-Based Representation Individual Enhancement Method for Chinese Idiom Reading Comprehension. | Ying Sha, Mingmin Wu, Zhi Zeng, Xing Ge, Zhongqiang Huang, Huan Wang |
| 2023 | A Static Bi-dimensional Sample Selection for Federated Learning with Label Noise. | Qian Rong, Ling Yuan, Guohui Li, Jianjun Li, Lu Zhang, Xuanang Ding |
| 2023 | ip2text: A Reasoning-Aware Dataset for Text Generation of Devices on the Internet. | Yimo Ren, Zhi Li, Hong Li, Peipei Liu, Jie Liu, Hongsong Zhu, Limin Sun |