Alexis Kai-Hon Lau

According to our database, Alexis Kai-Hon Lau authored at least 14 papers between 2005 and 2025.

Collaborative distances:

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

2025

LC4-DViT: Land-cover Creation for Land-cover Classification with Deformable Vision Transformer.

Kai Wang, Siyi Chen, Weicong Pang, Chenchen Zhang, Renjun Gao, Ziru Chen, Cheng Li, Dasa Gu, Ru Huang, Alexis Kai-Hon Lau

CoRR, November, 2025

Save It for the "Hot" Day: An LLM-Empowered Visual Analytics System for Heat Risk Management.

Haobo Li, Wong Kam-Kwai, Yan Luo, Juntong Chen, Chengzhong Liu, Yaxuan Zhang, Alexis Kai-Hon Lau, Huamin Qu, Dongyu Liu

IEEE Trans. Vis. Comput. Graph., October, 2025

OSDA: A Framework for Open-Set Discovery and Automatic Interpretation of Land-cover in Remote Sensing Imagery.

Siyi Chen, Kai Wang, Weicong Pang, Ruiming Yang, Ziru Chen, Renjun Gao, Alexis Kai-Hon Lau, Dasa Gu, Chenchen Zhang, Cheng Li

CoRR, September, 2025

PIPE: Physics-Informed Position Encoding for Alignment of Satellite Images and Time Series.

Haobo Li, Eunseo Jung, Zixin Chen, Zhaowei Wang, Yueya Wang, Huamin Qu, Alexis Kai-Hon Lau

CoRR, June, 2025

CLLMate: A Multimodal Benchmark for Weather and Climate Events Forecasting.

Haobo Li, Zhaowei Wang, Jiachen Wang, Yueya Wang, Alexis Kai-Hon Lau, Huamin Qu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

CLLMate: A Multimodal LLM for Weather and Climate Events Forecasting.

Haobo Li, Zhaowei Wang, Jiachen Wang, Alexis Kai-Hon Lau, Huamin Qu

CoRR, 2024

2023

Skillful Radar-Based Heavy Rainfall Nowcasting Using Task-Segmented Generative Adversarial Network.

Rui Wang, Lin Su, Wai Kin Wong, Alexis Kai-Hon Lau, Jimmy C. H. Fung

IEEE Trans. Geosci. Remote. Sens., 2023

2022

AQX: Explaining Air Quality Forecast for Verifying Domain Knowledge using Feature Importance Visualization.

Reshika Palaniyappan Velumani, Meng Xia, Jun Han, Chaoli Wang, Alexis Kai-Hon Lau, Huamin Qu

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

2021

Reducing the Influence of Environmental Factors on Performance of a Diffusion-Based Personal Exposure Kit.

Huixin Zong, Peter Brimblecombe, Li Sun, Peng Wei, Kin Fai Ho, Qingli Zhang, Jing Cai, Haidong Kan, Mengyuan Chu, Wenwei Che, Alexis Kai-Hon Lau, Zhi Ning

Sensors, 2021

2020

Visual Interpretation of Recurrent Neural Network on Multi-dimensional Time-series Forecast.

Qiaomu Shen, Yanhong Wu, Yuzhe Jiang, Wei Zeng, Alexis Kai-Hon Lau, Anna Vianova, Huamin Qu

Proceedings of the 2020 IEEE Pacific Visualization Symposium, 2020

2019

Decomposing the Long-term Variation in Population Exposure to Outdoor PM2.5 in the Greater Bay Area of China Using Satellite Observations.

Changqing Lin, Alexis Kai-Hon Lau, Jimmy C. H. Fung, Qianshan He, Jun Ma, Xingcheng Lu, Zhiyuan Li, Chengcai Li, Renguang Zuo, Andromeda H. S. Wong

Remote. Sens., 2019

2018

Assessing Effect of Targeting Reduction of PM_2.5 Concentration on Human Exposure and Health Burden in Hong Kong Using Satellite Observation.

Changqing Lin, Alexis Kai-Hon Lau, Xingcheng Lu, Jimmy C. H. Fung, Zhiyuan Li, Chengcai Li, Andromeda H. S. Wong

Remote. Sens., 2018

2007

Visual Analysis of the Air Pollution Problem in Hong Kong.

Huamin Qu, Wing-Yi Chan, Anbang Xu, Kai-Lun Chung, Alexis Kai-Hon Lau, Ping Guo

IEEE Trans. Vis. Comput. Graph., 2007

2005

Retrieval, validation, and application of the 1-km aerosol optical depth from MODIS measurements over Hong Kong.

Chengcai Li, Alexis Kai-Hon Lau, Jietai Mao, D. Allen Chu

IEEE Trans. Geosci. Remote. Sens., 2005