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Shengkun Wang
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2020 – today
- 2024
- [c7]Mariam Almutairi, Lulwah Alkulaib, Shengkun Wang, Zhiqian Chen, Youssif ALMutairi, Thamer M. Alenazi, Kurt Luther, Chang-Tien Lu:
FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics. BCB 2024: 38:1-38:7 - [c6]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 - [i7]Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu:
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos. CoRR abs/2405.17705 (2024) - [i6]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) - [i5]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
- [c5]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 - [c4]Han Wang, Jingtong Zhao, Shengkun Wang, Zhiquan He, Xike Ouyang, Ting Gao:
Predicting Protein-Ligand Binding Affinity with Multi-Scale Structural Features. BIBM 2023: 63-68 - [c3]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 - [c2]Shangching Liu, Shengkun Wang, Tsungyao Chang, Wenqi Lin, Chung-Wei Hsiung, Yi-Chen Hsieh, Yu-Ping Cheng, Sian-Hong Luo, Jianwei Zhang:
JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization. EMNLP (Industry Track) 2023: 622-630 - [c1]Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu:
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation. SIGSPATIAL/GIS 2023: 25:1-25:10 - [i4]Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu:
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation. CoRR abs/2309.05840 (2023) - [i3]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) - [i2]Shangching Liu, Shengkun Wang, Wenqi Lin, Chung-Wei Hsiung, Yi-Chen Hsieh, Yu-Ping Cheng, Sian-Hong Luo, Tsungyao Chang, Jianwei Zhang:
JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization. CoRR abs/2312.02213 (2023) - [i1]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) - 2021
- [j1]Yuhong Wang, Shengkun Wang:
Soft Sensor for VFA Concentration in Anaerobic Digestion Process for Treating Kitchen Waste Based on SSAE-KELM. IEEE Access 9: 36466-36474 (2021)
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last updated on 2024-12-23 19:34 CET by the dblp team
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