Kee Kiat Koo

According to our database, Kee Kiat Koo authored at least 10 papers between 2010 and 2024.

Collaborative distances:

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

2024

Confidence-Aware Sub-Structure Beam Search (CABS): Mitigating Hallucination in Structured Data Generation with Large Language Models.

Chengwei Wei, Kee Kiat Koo, Amir Tavanaei, Karim Bouyarmane

CoRR, 2024

Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising.

Amir Tavanaei, Kee Kiat Koo, Hayreddin Çeker, Shaobai Jiang, Qi Li, Julien Han, Karim Bouyarmane

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Deep Metric Learning to Hierarchically Rank - An Application in Product Retrieval.

Kee Kiat Koo, Ashutosh Joshi, Nishaanth Reddy, Karim Bouyarmane, Ismail B. Tutar, Vaclav Petricek, Changhe Yuan

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

2016

Visualize People's Mobility - Both individually and Collectively - Using Mobile Phone Cellular Data.

Manoranjan Dash, Kee Kiat Koo, Shonali Krishnaswamy, Yunye Jin, Amy Shi Nash

Proceedings of the IEEE 17th International Conference on Mobile Data Management, 2016

Fuzzy trajectory linking.

Huayu Wu, Mingqiang Xue, Jianneng Cao, Panagiotis Karras, Wee Siong Ng, Kee Kiat Koo

Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016

2015

Next place prediction by understanding mobility patterns.

Manoranjan Dash, Kee Kiat Koo, João Bártolo Gomes, Shonali Priyadarsini Krishnaswamy, Daniel Rugeles, Amy Shi Nash

Proceedings of the 2015 IEEE International Conference on Pervasive Computing and Communication Workshops, 2015

From Mobile Phone Data to Transport Network - Gaining Insight about Human Mobility.

Manoranjan Dash, Kee Kiat Koo, Thomas Holleczek, Ghim-Eng Yap, Shonali Priyadarsini Krishnaswamy, Amy Shi Nash

Proceedings of the 16th IEEE International Conference on Mobile Data Management, 2015

CDR-To-MoVis: Developing a Mobility Visualization System from CDR data.

Manoranjan Dash, Kee Kiat Koo, James Decraene, Ghim-Eng Yap, Wei Wu, João Bártolo Gomes, Amy Shi Nash, Xiaoli Li

Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

2013

Investigating Mobile Messaging in Healthcare Organizations: A Sensemaking Perspective.

Zhenbin Yang, Atreyi Kankanhalli, Boon-Yuen Ng, Kee Kiat Koo

Proceedings of the International Conference on Information Systems, 2013

2010

Mobile Messaging in Healthcare Organizations: Investigating Use from a Power Perspective.

Boon-Yuen Ng, Atreyi Kankanhalli, Kee Kiat Koo, James Wei Luen Yip

Proceedings of the International Conference on Information Systems, 2010