Soft Sensor for VFA Concentration in Anaerobic Digestion Process for Treating Kitchen Waste Based on SSAE-KELM. - Yuhong Wang; Shengkun Wang (IEEE Access, 2021)

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 (ASONAM, 2023)

Predicting Protein-Ligand Binding Affinity with Multi-Scale Structural Features. - Han Wang 028; Jingtong Zhao; Shengkun Wang; Zhiquan He; Xike Ouyang; Ting Gao (BIBM, 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 (IEEE Big Data, 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 (EMNLP (Industry Track), 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 (SIGSPATIAL/GIS, 2023)

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 (BCB, 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 (NAACL (Industry Track), 2024)

DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos. - Linhan Wang; Kai Cheng; Shuo Lei; Shengkun Wang; Wei Yin 006; Chenyang Lei; Xiaoxiao Long; Chang-Tien Lu (NeurIPS, 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)

Machine learning for predicting maximum displacement in soil-pile-superstructure systems in laterally spreading ground. - Xiaoyu Zhang; Desheng He; Junjie Wang; Shengkun Wang; Meixiang Gu (Eng. Appl. Artif. Intell., 2025)

HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset. - Shengkun Wang; Yanshen Sun; Fanglan Chen; Linhan Wang; Naren Ramakrishnan; Chang-Tien Lu; Yinlin Chen (CoRR, 2025)