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)

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)

Design and Simulation of Cooperative Communication Networks for Wireless Sensors in Underwater Environments. - Shan Gao; Honglin Lu; Linhan Wang; Min Ouyang (ChineseCSCW (2), 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)

Downscaling Precipitation with Bias-informed Conditional Diffusion Model. - Ran Lyu; Linhan Wang; Yanshen Sun; Hedanqiu Bai; Chang-Tien Lu (IEEE Big Data, 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 (ICASSP, 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)

KHAIT: K-9 Handler Artificial Intelligence Teaming for Collaborative Sensemaking. - Matthew Wilchek; Linhan Wang; Sally Dickinson; Erica Feuerbacher; Kurt Luther; Feras A. Batarseh (IUI, 2025)

Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. - Shailik Sarkar; Raquib Bin Yousuf; Linhan Wang; Brian Mayer; Thomas Mortier; Victor Deklerck; Jakub Truszkowski; John Simeone; Marigold Norman; Jade Saunders; Chang-Tien Lu; Naren Ramakrishnan (CoRR, 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)