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2020 – today
- 2024
[j3]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): 126:1-126:42 (2024)- [j2]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): 144:1-144:23 (2024) - [c15]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: 12073-12086 - [c14]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. NAACL (Industry Track) 2024: 379-386 - [i11]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 abs/2402.11406 (2024) - [i10]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 abs/2407.18324 (2024) - [i9]Shengkun Wang, Taoran Ji, Linhan Wang, Yanshen Sun, Shang-Ching Liu, Amit Kumar, Chang-Tien Lu:
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction. CoRR abs/2409.08281 (2024) - 2023
- [c13]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: 538-542 - [c12]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. IEEE Big Data 2023: 1863-1872 - [i8]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 abs/2310.18706 (2023) - [i7]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 abs/2312.03758 (2023) - 2022
- [b1]Taoran Ji:
On Modeling Dependency Dynamics of Sequential Data: Methods and Applications. Virginia Tech, Blacksburg, VA, USA, 2022 - [c11]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: 13115-13116 - [c10]Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu:
Granger Causal Inference for Interpretable Traffic Prediction. ITSC 2022: 1645-1651 - 2021
- [c9]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: 7953-7960 - [c8]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: 1619-1624 - [i6]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 abs/2107.10234 (2021) - 2020
- [i5]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 abs/2002.11867 (2020) - [i4]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 abs/2006.04029 (2020)
2010 – 2019
- 2019
- [j1]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): 16-25 (2019) - [c7]Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Feature driven learning framework for cybersecurity event detection. ASONAM 2019: 196-203 - [c6]Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu:
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. SIGSPATIAL/GIS 2019: 329-338 - [c5]Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI 2019: 2621-2627 - [c4]Lulwah Alkulaib, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu:
Collect Ethically: Reduce Bias in Twitter Datasets. SIMBig 2019: 106-114 - [i3]Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan:
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. CoRR abs/1905.10022 (2019) - [i2]Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu:
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. CoRR abs/1911.08684 (2019) - 2018
- [c3]Taoran Ji, Kaiqun Fu, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:
Multi-Task Learning for Transit Service Disruption Detection. ASONAM 2018: 634-641 - 2017
- [c2]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: 4701-4707 - [c1]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: 1049-1057 - [i1]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 abs/1702.07745 (2017)
Coauthor Index
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