2 code implementations • 12 Apr 2024 • Muzhi Li, Minda Hu, Irwin King, Ho-fung Leung
The Knowledge Graph Entity Typing (KGET) task aims to predict missing type annotations for entities in knowledge graphs.
no code implementations • 10 Jan 2024 • Xiaoyan Hu, Farzan Farnia, Ho-fung Leung
Reinforcement learning (RL) problems where the learner attempts to infer an unobserved reward from some feedback variables have been studied in several recent papers.
no code implementations • 20 Nov 2023 • Yulai Zhao, Wenhao Zhan, Xiaoyan Hu, Ho-fung Leung, Farzan Farnia, Wen Sun, Jason D. Lee
We study CVaR RL in low-rank MDPs with nonlinear function approximation.
no code implementations • 10 Jun 2022 • Nafees Ahmad, Savio Ho-Chit Chow, Ho-fung Leung
Human activity recognition (HAR) through wearable devices has received much interest due to its numerous applications in fitness tracking, wellness screening, and supported living.
no code implementations • 26 Jan 2022 • Hon Tik Tse, Ho-fung Leung
Multi-agent reinforcement learning (MARL) can model many real world applications.
no code implementations • ACL 2020 • Qingbao Huang, Jielong Wei, Yi Cai, Changmeng Zheng, Junying Chen, Ho-fung Leung, Qing Li
Visual question answering aims to answer the natural language question about a given image.
no code implementations • 29 Jun 2020 • Shuyue Hu, Chin-Wing Leung, Ho-fung Leung, Harold Soh
Understanding the evolutionary dynamics of reinforcement learning under multi-agent settings has long remained an open problem.
no code implementations • NeurIPS 2019 • Shuyue Hu, Chin-Wing Leung, Ho-fung Leung
Modelling the dynamics of multi-agent learning has long been an important research topic, but all of the previous works focus on 2-agent settings and mostly use evolutionary game theoretic approaches.
1 code implementation • IJCNLP 2019 • Changmeng Zheng, Yi Cai, Jingyun Xu, Ho-fung Leung, Gu Xu, ong
We propose a boundary-aware neural model for nested NER which leverages entity boundaries to predict entity categorical labels.
Ranked #11 on Named Entity Recognition (NER) on GENIA
no code implementations • COLING 2016 • Kai Yang, Yi Cai, Zhenhong Chen, Ho-fung Leung, Raymond Lau
Latent Dirichlet Allocation (LDA) and its variants have been widely used to discover latent topics in textual documents.