Taoran Ji

35 papers A* 4A 1B 7Journal 15Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators.
CoRR
Amit Kumar, Taoran Ji
2025 — conf
Socio-Demographic and Spatial Determinants of Covid-19 Booster Uptake: a Graph Attention Network-Based Analysis.
ICDM (Workshops)
Hossein Naderi, Yuxia Huang, Taoran Ji, Ziba Abbasian
2024 — conf
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction.
NAACL (Industry Track)
Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu
2024 J jnl
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction.
CoRR
Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu
2024 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.
ACM Comput. Surv.
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
2024 J jnl
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling.
ACM Trans. Knowl. Discov. Data
Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2024 B conf
CryptoPulse: Short-Term Cryptocurrency Forecasting with Dual-Prediction and Cross-Correlated Market Indicators.
IEEE Big Data
Amit Kumar, Taoran Ji
2024 — conf
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection.
ACL (1)
Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu
2024 J jnl
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection.
CoRR
Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu
2024 B conf
Multi-Scale Demographic Analysis of Covid-19 Booster Vaccination Rates Using Graph Neural Networks.
IEEE Big Data
Hossein Naderi, Ziba Abbasian, Yxia Huang, Taoran Ji
2024 J jnl
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction.
CoRR
Shengkun Wang, Taoran Ji, Linhan Wang, Yanshen Sun, Shang-Ching Liu, Amit Kumar, Chang-Tien Lu
2024 B conf
Time Series Forecasting with GCN-LSTM Based Unified Model for Product Demand Prediction.
IEEE Big Data
Melike Yildiz Aktas, Taoran Ji, Chang-Tien Lu
2023 B conf
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction.
ASONAM
Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
2023 J jnl
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction.
CoRR
Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
2023 B conf
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices.
IEEE Big Data
Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
2023 J jnl
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices.
CoRR
Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
2022 A* conf
Blocking Influence at Collective Level with Hard Constraints (Student Abstract).
AAAI
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
2022 — conf
Granger Causal Inference for Interpretable Traffic Prediction.
ITSC
Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu
2022 — —
On Modeling Dependency Dynamics of Sequential Data: Methods and Applications.
Taoran Ji
2021 — conf
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting.
IEEE BigData
Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu
2021 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.
CoRR
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
2021 A* conf
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications.
AAAI
Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2020 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.
CoRR
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
2020 J jnl
Ethics, Data Science, and Health and Human Services: Embedded Bias in Policy Approaches to Teen Pregnancy Prevention.
CoRR
Davon Woodard, Huthaifa I. Ashqar, Taoran Ji
2019 J jnl
Batman or the joker?: the powerful urban computing and its ethics issues.
ACM SIGSPATIAL Special
Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
2019 — conf
Collect Ethically: Reduce Bias in Twitter Datasets.
SIMBig
Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
2019 B conf
Feature driven learning framework for cybersecurity event detection.
ASONAM
Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019 A* conf
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks.
IJCAI
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019 J jnl
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks.
CoRR
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
2019 — conf
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction.
SIGSPATIAL/GIS
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
2019 J jnl
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction.
CoRR
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
2018 B conf
Multi-Task Learning for Transit Service Disruption Detection.
ASONAM
Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
2017 A conf
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media.
CIKM
Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan
2017 J jnl
Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media.
CoRR
Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan
2017 A* conf
Determining Relative Airport Threats from News and Social Media.
AAAI
Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan