Shengkun Wang

According to our database, Shengkun Wang authored at least 10 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction.

Shengkun Wang, Taoran Ji, Linhan Wang, Yanshen Sun, Shang-Ching Liu, Amit Kumar, Chang-Tien Lu

CoRR, 2024

DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos.

Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu

CoRR, 2024

AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction.

Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics.

Mariam Almutairi, Lulwah Alkulaib, Shengkun Wang, Zhiqian Chen, Youssif ALMutairi, Thamer M. Alenazi, Kurt Luther, Chang-Tien Lu

Proceedings of the 15th ACM International Conference on Bioinformatics, 2024

2023

Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation.

Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

JarviX: A LLM No code Platform for Tabular Data Analysis and Optimization.

Shangching Liu, Shengkun Wang, Tsungyao Chang, Wenqi Lin, Chung-Wei Hsiung, Yi-Chen Hsieh, Yu-Ping Cheng, Sian-Hong Luo, Jianwei Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices.

Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu

Proceedings of the IEEE International Conference on Big Data, 2023

Predicting Protein-Ligand Binding Affinity with Multi-Scale Structural Features.

Han Wang, Jingtong Zhao, Shengkun Wang, Zhiquan He, Xike Ouyang, Ting Gao

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction.

Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2021

Soft Sensor for VFA Concentration in Anaerobic Digestion Process for Treating Kitchen Waste Based on SSAE-KELM.

Yuhong Wang, Shengkun Wang

IEEE Access, 2021