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All Outputs (5)

Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction (2020)
Presentation / Conference
Camilleri, A., Hong, J., Dogramadzi, S., & Caleb-Solly, P. (2020, May). Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction. Presented at ICRA 2020

To achieve safe close-proximity human-robot interaction , particularly for physically assitive tasks, robot motion planning needs to recognize and adapt to the behaviour of humans in the long-term. Generally, motion prediction with probabilistic conf... Read More about Towards establishing a 'cooperation' measure for coupled movement in close-proximity human-robot interaction.

The event calculus in probabilistic logic programming with annotated disjunctions (2017)
Presentation / Conference
McAreavey, K., Bauters, K., Liu, W., & Hong, J. (2017, May). The event calculus in probabilistic logic programming with annotated disjunctions. Paper presented at AAMAS 2017 - the 16th International Conference on Autonomous Agents and Multiagent Systems, Sao Paulo, Brazil

We propose a new probabilistic extension to the event calculus using the probabilistic logic programming (PLP) language ProbLog, and a language construct called the annotated disjunction. This is the first extension of the event calculus capable of h... Read More about The event calculus in probabilistic logic programming with annotated disjunctions.

Sarcasm detection on Czech and English Twitter (2014)
Presentation / Conference
Ptácek, T., Habernal, I., & Hong, J. (2014, August). Sarcasm detection on Czech and English Twitter. Paper presented at COLING 2014, Dublin, Ireland

This paper presents a machine learning approach to sarcasm detection on Twitter in two languages – English and Czech. Although there has been some research in sarcasm detection in languages other than English (e.g., Dutch, Italian, and Brazilian Port... Read More about Sarcasm detection on Czech and English Twitter.

CAN (PLAN)+: Extending the operational semantics of the BDI architecture to deal with uncertain information (2014)
Presentation / Conference
Bauters, K., Liu, W., Hong, J., Sierra, C., & Godo, L. (2014, July). CAN (PLAN)+: Extending the operational semantics of the BDI architecture to deal with uncertain information. Paper presented at UAI, Quebec, Canada

The BDI architecture, where agents are modelled based on their beliefs, desires and intentions, provides a practical approach to develop large scale systems. However, it is not well suited to model complex Supervisory Control And Data Acquisition (SC... Read More about CAN (PLAN)+: Extending the operational semantics of the BDI architecture to deal with uncertain information.

CSFinder: A cold-start friend finder in large-scale social networks
Presentation / Conference
Salem, Y., Hong, J., & Liu, W. CSFinder: A cold-start friend finder in large-scale social networks. Paper presented at Big Data (Big Data), 2015 IEEE International Conference on

Recommending users for a new social network user to follow is a topic of interest at present. The existing approaches rely on using various types of information about the new user to determine recommended users who have similar interests to the new u... Read More about CSFinder: A cold-start friend finder in large-scale social networks.