| Crowdsourcing cybersecurity: Cyber attack detection using social media RP Khandpur, T Ji, S Jan, G Wang, CT Lu, N Ramakrishnan Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 183 | 2017 |
| 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 | 53 | 2020 |
| 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 | 29 | 2019 |
| Determining relative airport threats from news and social media R Khandpur, T Ji, Y Ning, L Zhao, CT Lu, E Smith, C Adams, ... Proceedings of the AAAI Conference on Artificial Intelligence 31 (2), 4701-4707, 2017 | 23 | 2017 |
| 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 | 20 | 2018 |
| Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks T Ji, Z Chen, N Self, K Fu, CT Lu, N Ramakrishnan Proceedings of the 28th International Joint Conference on Artificial …, 2019 | 13 | 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, W Lingfei, ... ACM Computing Surveys 56 (5), 1-42, 2023 | 10 | 2023 |
| 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 |
| Personalization mechanism in an intelligent agent-based meta-search engine Q Li, J Wang, H Chu, T Ji Scientia Sinica 45 (5), 605-622, 2015 | 5 | 2015 |
| Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. arXiv 2021 Z Chen, F Chen, L Zhang, T Ji, K Fu, L Zhao, F Chen, L Wu, C Aggarwal, ... arXiv preprint arXiv:2002.11867, 0 | 5 | |
| Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection M Zhang, J He, T Ji, CT Lu arXiv preprint arXiv:2402.11406, 2024 | 4 | 2024 |
| Granger causal inference for interpretable traffic prediction L Zhang, K Fu, T Ji, CT Lu 2022 IEEE 25th International Conference on Intelligent Transportation …, 2022 | 4 | 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 | 4 | 2021 |
| Batman or the joker? the powerful urban computing and its ethics issues K Fu, A Alhamadani, T Ji, CT Lu SIGSPATIAL Special 11 (2), 16-25, 2019 | 4 | 2019 |
| Blocking influence at collective level with hard constraints (student abstract) Z Zhang, S Biswas, F Chen, K Fu, T Ji, CT Lu, N Ramakrishnan, Z Chen Proceedings of the AAAI Conference on Artificial Intelligence 36 (11), 13115 …, 2022 | 2 | 2022 |
| Collect Ethically: Reduce Bias in Twitter Datasets L Alkulaib, A Alhamadani, T Ji, CT Lu Information Management and Big Data: 6th International Conference, SIMBig …, 2020 | 2 | 2020 |
| Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices S Wang, YX Bai, T Ji, K Fu, L Wang, CT Lu 2023 IEEE International Conference on Big Data (BigData), 1863-1872, 2023 | 1 | 2023 |
| AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction S Wang, T Ji, J He, M ALMutairi, D Wang, L Wang, M Zhang, CT Lu Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | | 2024 |
| Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling T Ji, N Self, K Fu, Z Chen, N Ramakrishnan, CT Lu ACM Transactions on Knowledge Discovery from Data 18 (6), 1-23, 2024 | | 2024 |
Chang-Tien LuComputer Science, Virginia Tech在 vt.edu 的电子邮件经过验证
