| In search of influential event organizers in online social networks K Feng, G Cong, SS Bhowmick, S Ma Proceedings of the 2014 ACM SIGMOD international conference on Management of …, 2014 | 63 | 2014 |
| Towards best region search for data exploration K Feng, G Cong, SS Bhowmick, WC Peng, C Miao Proceedings of the 2016 International Conference on Management of Data, 1055 …, 2016 | 37 | 2016 |
| Efficient selection of geospatial data on maps for interactive and visualized exploration T Guo, K Feng, G Cong, Z Bao Proceedings of the 2018 international conference on management of data, 567-582, 2018 | 24 | 2018 |
| Proxies for shortest path and distance queries S Ma, K Feng, J Li, H Wang, G Cong, J Huai IEEE Transactions on Knowledge and Data Engineering 28 (7), 1835-1850, 2016 | 12 | 2016 |
| Surge: Continuous detection of bursty regions over a stream of spatial objects K Feng, T Guo, G Cong, SS Bhowmick, S Ma IEEE Transactions on Knowledge and Data Engineering 32 (11), 2254-2268, 2019 | 10 | 2019 |
| Querying and mining geo-textual data for exploration: Challenges and opportunities G Cong, K Feng, K Zhao 2016 IEEE 32nd International Conference on Data Engineering Workshops (ICDEW …, 2016 | 8 | 2016 |
| Knowledge-enhanced ensemble learning for word embeddings L Fang, Y Luo, K Feng, K Zhao, A Hu The World Wide Web Conference, 427-437, 2019 | 7 | 2019 |
| Finding attribute-aware similar region for data analysis K Feng, G Cong, CS Jensen, T Guo Proceedings of the VLDB Endowment 12 (11), 1414-1426, 2019 | 7 | 2019 |
| Distance landmarks revisited for road graphs S Ma, K Feng, H Wang, J Li, J Huai arXiv preprint arXiv:1401.2690, 2014 | 5 | 2014 |
| A system for region search and exploration K Feng, K Zhao, Y Liu, G Cong Proceedings of the VLDB Endowment 9 (13), 1549-1552, 2016 | 4 | 2016 |
| Densely connected user community and location cluster search in location-based social networks J Kim, T Guo, K Feng, G Cong, A Khan, FM Choudhury Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020 | 2 | 2020 |
| The RLR-Tree: A Reinforcement Learning Based R-Tree for Spatial Data T Gu, K Feng, G Cong, C Long, Z Wang, S Wang arXiv preprint arXiv:2103.04541, 2021 | | 2021 |
| SELECTING THE BEST GROUP OF OBJECTS IN SPATIAL DATABASES AND GRAPHS F KAIYU Nanyang Technological University, 2017 | | 2017 |
| Compressing Trajectory for Trajectory Indexing K Feng, Z Shen Proceedings of the 2nd International Conference on Crowd Science and …, 2017 | | 2017 |
