Linhan Wang

According to our database, Linhan Wang authored at least 8 papers between 2023 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

Can LLM Find the Green Circle? Investigation and Human-Guided Tool Manipulation for Compositional Generalization.

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

Proceedings of the IEEE International Conference on Acoustics, 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

Design and Simulation of Cooperative Communication Networks for Wireless Sensors in Underwater Environments.

Shan Gao, Honglin Lu, Linhan Wang, Min Ouyang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 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

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