Taoran Ji

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 27

Top Topics

Recurrent Networks

Causal Inference

Top Venues

Publications

Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data 18 (6) (2024)
Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection. CoRR (2024)
Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection. ACL (1) (2024)
Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction. CoRR (2024)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. 56 (5) (2024)
Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. CoRR (2023)
Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. CoRR (2023)
Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. ASONAM (2023)
Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. BigData (2023)
Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu
Granger Causal Inference for Interpretable Traffic Prediction. ITSC (2022)
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI (2022)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR (2021)
Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI (2021)
Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. IEEE BigData (2021)
Davon Woodard, Huthaifa I. Ashqar, Taoran Ji
Ethics, Data Science, and Health and Human Services: Embedded Bias in Policy Approaches to Teen Pregnancy Prevention. CoRR (2020)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. CoRR (2020)
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI (2019)
Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Feature driven learning framework for cybersecurity event detection. ASONAM (2019)
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. SIGSPATIAL/GIS (2019)
Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
Batman or the joker?: the powerful urban computing and its ethics issues. ACM SIGSPATIAL Special 11 (2) (2019)
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. CoRR (2019)
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR (2019)
Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
Collect Ethically: Reduce Bias in Twitter Datasets. SIMBig (2019)
Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
Multi-Task Learning for Transit Service Disruption Detection. ASONAM (2018)
Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan
Determining Relative Airport Threats from News and Social Media. AAAI (2017)
Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. CoRR (2017)
Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. CIKM (2017)