During my PHD studies from 2020 to 2023, my research focused on dynamic multimodal networks, involving areas such as machine and deep learning, graph learning, time-series modelling, multimodal modelling, deep learning for design and financial applications. 
 1.    Learning Network-Based Multi-Modal Mobile User Interface Embeddings, by Gary Ang, Ee-Peng Lim. (2021). 26th ACM International Conference on Intelligent User Interfaces (IUI). Link 

2.    Learning Knowledge-Enriched Company Embeddings for Investment Management, by Gary Ang, Ee-Peng Lim. (2021). 2nd ACM International Conference on AI in Finance (ICAIF). Link

3.    Learning User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes, by Gary Ang, Ee-Peng Lim. (2022). 27th ACM International Conference on Intelligent User Interfaces (IUI). Honorable Mention award. Link

4.    Guided Attention Multimodal Multitask Financial Forecasting with Inter-Company Relationships and Global and Local News, by Gary Ang, Ee-Peng Lim. (2022). 60th Annual Meeting of the Association for Computational Linguistics (ACL). Link

5.    Learning Semantically Rich Network-Based Multi-Modal Mobile User Interface Embeddings, by Gary Ang, Ee-Peng Lim. (2022). ACM Transactions on Interactive Intelligent Systems (TiiS). Link

6.    Investment and Risk Management with Online News and Heterogeneous Networks, by Gary Ang, Ee-Peng Lim. ACM Transactions on the Web (TWEB). Link 

7.    Learning and Understanding User Interface Semantics from Heterogeneous Networks with Multimodal and Positional Attributes, by Gary Ang, Ee-Peng Lim. (2022). ACM Transactions on Interactive Intelligent Systems (TiiS). Link 

8.    Learning Dynamic Multimodal Implicit and Explicit Networks for Multiple Financial Tasks, by Gary Ang, Ee-Peng Lim (2022). 2022 IEEE International Conference on Big Data (Big Data). Link 

9.    On Predicting ESG Ratings Using Dynamic Company Networks (2023), by Gary Ang, Ee-Peng Lim (2022), ACM Transactions on Management Information Systems (TMIS). Link

10.    Temporal Implicit Multimodal Networks for Investment and Risk Management (2024), by Gary Ang, Ee-Peng Lim (2022), ACM Transactions on Intelligent Systems and Technology (TIST). Link

11.    Learning Dynamic Multimodal Network Slot Concepts from the Web for Forecasting Environmental, Social and Governance Ratings, ACM Transactions on the Web (TWEB). Link