Gman: A graph multi-attention network for traffic prediction C Zheng, X Fan, C Wang, J Qi Proceedings of the AAAI Conference on Artificial Intelligence 34 (01), 1234-1241, 2020 | 1195 | 2020 |
Entity Alignment between Knowledge Graphs Using Attribute Embeddings BD Trisedya, J Qi, R Zhang AAAI, 2019 | 321 | 2019 |
Doubly Robust Joint Learning for Recommendation on Data Missing Not at Random X Wang, R Zhang, Y Sun, J Qi International Conference on Machine Learning, 6638-6647, 2019 | 217 | 2019 |
KDGAN: Knowledge Distillation with Generative Adversarial Networks. X Wang, R Zhang, Y Sun, J Qi NeurIPS, 783-794, 2018 | 206 | 2018 |
Neural relation extraction for knowledge base enrichment B Distiawan, G Weikum, J Qi, R Zhang Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 147 | 2019 |
Solving the data sparsity problem in destination prediction AY Xue, J Qi, X Xie, R Zhang, J Huang, Y Li The VLDB Journal 24 (2), 219-243, 2015 | 121 | 2015 |
GTR-LSTM: A triple encoder for sentence generation from RDF data B Distiawan, J Qi, R Zhang, W Wang Proceedings of the 56th Annual Meeting of the Association for Computational …, 2018 | 101 | 2018 |
Effectively learning spatial indices J Qi, G Liu, CS Jensen, L Kulik Proceedings of the VLDB Endowment 13 (12), 2341-2354, 2020 | 97 | 2020 |
Combating Selection Biases in Recommender Systems with a Few Unbiased Ratings X Wang, R Zhang, Y Sun, J Qi Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021 | 83 | 2021 |
Federated Learning with Fair Averaging Z Wang, X Fan, J Qi, C Wen, C Wang, R Yu IJCAI, 2021 | 75 | 2021 |
The min-dist location selection query J Qi, R Zhang, L Kulik, D Lin, Y Xue 2012 IEEE 28th International Conference on Data Engineering, 366-377, 2012 | 74 | 2012 |
Top-k most influential locations selection J Huang, Z Wen, J Qi, R Zhang, J Chen, Z He Proceedings of the 20th ACM international conference on Information and …, 2011 | 74 | 2011 |
A benchmark and comprehensive survey on knowledge graph entity alignment via representation learning R Zhang, BD Trisedya, M Li, Y Jiang, J Qi The VLDB Journal 31 (5), 1143-1168, 2022 | 64* | 2022 |
A highly optimized algorithm for continuous intersection join queries over moving objects R Zhang, J Qi, D Lin, W Wang, RCW Wong The VLDB journal 21 (4), 561-586, 2012 | 60 | 2012 |
Processing moving knn queries using influential neighbor sets C Li, Y Gu, J Qi, G Yu, R Zhang, W Yi Proceedings of the VLDB Endowment 8 (2), 113-124, 2014 | 55 | 2014 |
Fast and Accurate Time Series Classification Through Supervised Interval Search N Cabello, E Naghizade, J Qi, L Kulik 2020 IEEE International Conference on Data Mining (ICDM), 948-953, 2020 | 52 | 2020 |
Short-term and long-term context aggregation network for video inpainting A Li, S Zhao, X Ma, M Gong, J Qi, R Zhang, D Tao, R Kotagiri Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 43 | 2020 |
Theoretically optimal and empirically efficient r-trees with strong parallelizability J Qi, Y Tao, Y Chang, R Zhang Proceedings of the VLDB Endowment 11 (5), 621-634, 2018 | 43 | 2018 |
HyperX: A Scalable Hypergraph Framework W Jiang, J Qi, JX Yu, J Huang, R Zhang IEEE Transactions on Knowledge and Data Engineering 31 (5), 909-922, 2018 | 41 | 2018 |
Continuous spatial query processing: a survey of safe region based techniques J Qi, R Zhang, CS Jensen, K Ramamohanarao, J He ACM Computing Surveys (CSUR) 51 (3), 1-39, 2018 | 40 | 2018 |