Follow
Taoran Ji
Title
Cited by
Cited by
Year
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
1742017
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
55*2023
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
262019
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
212017
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
192018
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
132019
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
72019
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
52021
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
52015
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
Granger causal inference for interpretable traffic prediction
L Zhang, K Fu, T Ji, CT Lu
2022 IEEE 25th International Conference on Intelligent Transportation …, 2022
42022
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
42021
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
32019
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
22022
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
22020
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
12024
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, 2024
2024
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
2023
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction
S Wang, YX Bai, K Fu, L Wang, CT Lu, T Ji
Proceedings of the International Conference on Advances in Social Networks …, 2023
2023
On Modeling Dependency Dynamics of Sequential Data: Methods and Applications
T Ji
Virginia Tech, 2022
2022
The system can't perform the operation now. Try again later.
Articles 1–20