41 citations · 225 across the 43 of their papers we have counts for
45 papers
CAST: A Cross-Asset State-Space Trading System for Drawdown Control in Stock Markets
Yu Peng, Matloob Khushi, Josiah Poon
Managing drawdown, the peak-to-trough decline in an investment portfolio's value, is a precondition for long-term survival in practical investment management. However, mainstream s…
CryptoGAT: Are Time Series Models Effective for Cryptocurrency Forecasting?
Yu Peng, Matloob Khushi, Josiah Poon
Cryptocurrency price prediction is a significant challenge in quantitative investment. In recent years, time series models have made significant progress in financial forecasting t…
An Empirical Analysis of Static Analysis Methods for Detection and Mitigation of Code Library Hallucinations
Clarissa Miranda-Pena, Andrew Reeson, Cécile Paris +2
Despite extensive research, Large Language Models continue to hallucinate when generating code, particularly when using libraries. On NL-to-code benchmarks that require library use…
VRD-IU: Lessons from Visually Rich Document Intelligence and Understanding
Yihao Ding, Soyeon Caren Han, Yan Li +1
Visually Rich Document Understanding (VRDU) has emerged as a critical field in document intelligence, enabling automated extraction of key information from complex documents across…
TriG-NER: Triplet-Grid Framework for Discontinuous Named Entity Recognition
Rina Carines Cabral, Soyeon Caren Han, Areej Alhassan +3
Discontinuous Named Entity Recognition (DNER) presents a challenging problem where entities may be scattered across multiple non-adjacent tokens, making traditional sequence labell…
GEM-VPC: A dual Graph-Enhanced Multimodal integration for Video Paragraph Captioning
Eileen Wang, Caren Han, Josiah Poon
Video Paragraph Captioning (VPC) aims to generate paragraph captions that summarises key events within a video. Despite recent advancements, challenges persist, notably in effectiv…
Multimodal Large Language Models and Tunings: Vision, Language, Sensors, Audio, and Beyond
Soyeon Caren Han, Feiqi Cao, Josiah Poon +1
This tutorial explores recent advancements in multimodal pretrained and large models, capable of integrating and processing diverse data forms such as text, images, audio, and vide…
3M-Health: Multimodal Multi-Teacher Knowledge Distillation for Mental Health Detection
Rina Carines Cabral, Siwen Luo, Josiah Poon +1
The significance of mental health classification is paramount in contemporary society, where digital platforms serve as crucial sources for monitoring individuals' well-being. Howe…
Do Text-to-Vis Benchmarks Test Real Use of Visualisations?
Hy Nguyen, Xuefei He, Andrew Reeson +3
Large language models are able to generate code for visualisations in response to simple user requests. This is a useful application and an appealing one for NLP research because p…
Game-MUG: Multimodal Oriented Game Situation Understanding and Commentary Generation Dataset
Zhihao Zhang, Feiqi Cao, Yingbin Mo +3
The dynamic nature of esports makes the situation relatively complicated for average viewers. Esports broadcasting involves game expert casters, but the caster-dependent game comme…
3MVRD: Multimodal Multi-task Multi-teacher Visually-Rich Form Document Understanding
Yihao Ding, Lorenzo Vaiani, Caren Han +4
This paper presents a groundbreaking multimodal, multi-task, multi-teacher joint-grained knowledge distillation model for visually-rich form document understanding. The model is de…
SCO-VIST: Social Interaction Commonsense Knowledge-based Visual Storytelling
Eileen Wang, Soyeon Caren Han, Josiah Poon
Visual storytelling aims to automatically generate a coherent story based on a given image sequence. Unlike tasks like image captioning, visual stories should contain factual descr…
Re-Temp: Relation-Aware Temporal Representation Learning for Temporal Knowledge Graph Completion
Kunze Wang, Soyeon Caren Han, Josiah Poon
Temporal Knowledge Graph Completion (TKGC) under the extrapolation setting aims to predict the missing entity from a fact in the future, posing a challenge that aligns more closely…
MC-DRE: Multi-Aspect Cross Integration for Drug Event/Entity Extraction
Jie Yang, Soyeon Caren Han, Siqu Long +2
Extracting meaningful drug-related information chunks, such as adverse drug events (ADE), is crucial for preventing morbidity and saving many lives. Most ADEs are reported via an u…
Social network modeling and applications, a tutorial
Lisette Espín-Noboa, Tiago Peixoto, Fariba Karimi
Social networks have been widely studied over the last century from multiple disciplines to understand societal issues such as inequality in employment rates, managerial performanc…
Tri-level Joint Natural Language Understanding for Multi-turn Conversational Datasets
Henry Weld, Sijia Hu, Siqu Long +2
Natural language understanding typically maps single utterances to a dual level semantic frame, sentence level intent and slot labels at the word level. The best performing models…
SimCGNN: Simple Contrastive Graph Neural Network for Session-based Recommendation
Yuan Cao, Xudong Zhang, Fan Zhang +5
Session-based recommendation (SBR) problem, which focuses on next-item prediction for anonymous users, has received increasingly more attention from researchers. Existing graph-bas…
StockEmotions: Discover Investor Emotions for Financial Sentiment Analysis and Multivariate Time Series
Jean Lee, Hoyoul Luis Youn, Josiah Poon +1
There has been growing interest in applying NLP techniques in the financial domain, however, resources are extremely limited. This paper introduces StockEmotions, a new dataset for…
Spoken Language Understanding for Conversational AI: Recent Advances and Future Direction
Soyeon Caren Han, Siqu Long, Henry Weld +1
When a human communicates with a machine using natural language on the web and online, how can it understand the human's intention and semantic context of their talk? This is an im…
SceneGATE: Scene-Graph based co-Attention networks for TExt visual question answering
Feiqi Cao, Siwen Luo, Felipe Nunez +3
Most TextVQA approaches focus on the integration of objects, scene texts and question words by a simple transformer encoder. But this fails to capture the semantic relations betwee…
SG-Shuffle: Multi-aspect Shuffle Transformer for Scene Graph Generation
Anh Duc Bui, Soyeon Caren Han, Josiah Poon
Scene Graph Generation (SGG) serves a comprehensive representation of the images for human understanding as well as visual understanding tasks. Due to the long tail bias problem of…
SUPER-Rec: SUrrounding Position-Enhanced Representation for Recommendation
Taejun Lim, Siqu Long, Josiah Poon +1
Collaborative filtering problems are commonly solved based on matrix completion techniques which recover the missing values of user-item interaction matrices. In a matrix, the rati…
Understanding Attention for Vision-and-Language Tasks
Feiqi Cao, Soyeon Caren Han, Siqu Long +2
Attention mechanism has been used as an important component across Vision-and-Language(VL) tasks in order to bridge the semantic gap between visual and textual features. While atte…
Doc-GCN: Heterogeneous Graph Convolutional Networks for Document Layout Analysis
Siwen Luo, Yihao Ding, Siqu Long +2
Recognizing the layout of unstructured digital documents is crucial when parsing the documents into the structured, machine-readable format for downstream applications. Recent stud…