| Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection J Wang, K Fu, CT Lu 2020 IEEE International Conference on Big Data (Big Data), 1699-1708, 2020 | 112 | 2020 |
| Bridging the gap between spatial and spectral domains: A survey on graph neural networks Z Chen, F Chen, L Zhang, T Ji, K Fu, L Zhao, F Chen, L Wu, C Aggarwal, ... arXiv preprint arXiv:2002.11867, 2020 | 61 | 2020 |
| Social media data analysis for traffic incident detection and management K Fu, R Nune, JX Tao Transportation Research Board 94th Annual Meeting, 2015 | 59 | 2015 |
| Treads: A safe route recommender using social media mining and text summarization K Fu, YC Lu, CT Lu Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances …, 2014 | 43 | 2014 |
| Steds: Social media based transportation event detection with text summarization K Fu, CT Lu, R Nune, JX Tao 2015 IEEE 18th International Conference on Intelligent Transportation …, 2015 | 39 | 2015 |
| Streetnet: preference learning with convolutional neural network on urban crime perception K Fu, Z Chen, CT Lu Proceedings of the 26th ACM SIGSPATIAL international conference on advances …, 2018 | 37 | 2018 |
| A search and summary application for traffic events detection based on twitter data M Liu, K Fu, CT Lu, G Chen, H Wang Proceedings of the 22nd ACM SIGSPATIAL International Conference on Advances …, 2014 | 33 | 2014 |
| Titan: A spatiotemporal feature learning framework for traffic incident duration prediction K Fu, T Ji, L Zhao, CT Lu Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances …, 2019 | 32 | 2019 |
| Bridging the gap between spatial and spectral domains: A unified framework for graph neural networks Z Chen, F Chen, L Zhang, T Ji, K Fu, L Zhao, F Chen, L Wu, C Aggarwal, ... ACM Computing Surveys, 2021 | 22* | 2021 |
| Multi-task learning for transit service disruption detection T Ji, K Fu, N Self, CT Lu, N Ramakrishnan 2018 IEEE/ACM International Conference on Advances in Social Networks …, 2018 | 22 | 2018 |
| Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks Y Sun, YC Lu, K Fu, F Chen, CT Lu Journal of King Saud University-Computer and Information Sciences 34 (8 …, 2022 | 15 | 2022 |
| Patent citation dynamics modeling via multi-attention recurrent networks T Ji, Z Chen, N Self, K Fu, CT Lu, N Ramakrishnan arXiv preprint arXiv:1905.10022, 2019 | 15 | 2019 |
| Risecure: metro incidents and threat detection using social media O Zulfiqar, YC Chang, PH Chen, K Fu, CT Lu, D Solnick, Y Li 2020 IEEE/ACM International Conference on Advances in Social Networks …, 2020 | 14 | 2020 |
| SAFEBIKE: a bike-sharing route recommender with availability prediction and safe routing W Zhong, F Chen, K Fu, CT Lu arXiv preprint arXiv:1712.01469, 2017 | 11 | 2017 |
| Granger causal inference for interpretable traffic prediction L Zhang, K Fu, T Ji, CT Lu 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 8 | 2022 |
| A hierarchical attention graph convolutional network for traffic incident impact forecasting K Fu, T Ji, N Self, Z Chen, CT Lu 2021 IEEE International Conference on Big Data (Big Data), 1619-1624, 2021 | 7 | 2021 |
| Feature driven learning framework for cybersecurity event detection T Ji, X Zhang, N Self, K Fu, CT Lu, N Ramakrishnan Proceedings of the 2019 IEEE/ACM International Conference on Advances in …, 2019 | 7 | 2019 |
| Early forecasting of the impact of traffic accidents using a single shot observation G Meng, Q Jiang, K Fu, B Lin, CT Lu, Z Chen Proceedings of the 2022 SIAM International Conference on Data Mining (SDM …, 2022 | 6 | 2022 |
| Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications T Ji, N Self, K Fu, Z Chen, N Ramakrishnan, CT Lu Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 7953-7960, 2021 | 6 | 2021 |
| Exploring social traffic data for evaluating urban arterial congestion R Nune, W Zhong, K Fu, JX Tao Transportation Research Board 96th Annual MeetingTransportation Research Board, 2017 | 6 | 2017 |
Chang-Tien Lu, IEEE FellowComputer Science, Virginia TechZweryfikowany adres z vt.edu