Schedule
Morning Session
08:00 - 08:15: Opening Remarks
08:15 - 08:45: Invited Talk 1: Umut Topkara, Head of AI Content @Bloomberg. Title: BloombergGPT: A Large Language Model for Finance
08:45 - 09:15: Invited Talk 2: Dhagash Mehta, Head of Machine Learning @Blackrock, Title: Distance-based unsupervised outlier detection method for mutual fund (mis-)categorization
09:15 - 09:45: Invited Talk 3: Cristian Bravo Roman, Associate Professor @University of Western Ontario. Title: Leveraging Deep Learning for Multimodal Data Analysis in Credit Risk Assessment
09:45 - 10:15: Invited Talk 4: Nhung Ho, Vice President of Artificial Intelligence @Intuit. Title: Transforming the World of Consumer and Small Business Finances with Generative AI
10:15 - 11:00: Break
11:00 - 12:00: Full Paper Presentations
11:00 - 11:15: "Incorporating Pre-trained Model Prompting in Multimodal Stock Volume Movement Prediction". Ruibo Chen (Peking University), Zhiyuan Zhang (Peking University), Yi Liu (Peking University), Ruihan Bao (Mizuho Bank), Keiko Harimoto (Mizuho Bank), Xu Sun (Peking University).
11:15 - 11:30: "Customs Import Declaration Datasets". Chaeyoon Jeong (KAIST), Sundong Kim (Gwangju Institute of Science and Technology), Jaewoo Park (Korea Customs Service), Yeonsoo Choi (Korea Customs Service).
11:30 - 11:45: "Adversarial training for tabular data with attack propagation". Tiago Leon Melo (Feedzai), João Bravo (Feedzai), Marco O P Sampaio (Feedzai), Paolo Romano (Paolo), João Tiago T Ascensão (Feedzai), Hugo Ferreira (Feedzai), Pedro Bizarro (Feedzai).
11:45 - 12:00: "Graph Attention Networks for Portfolio Optimisation: Empirical Evidence for Mid-Caps". Kamesh Korangi (University of Southampton).
12:00 to 1:00: Lunch Break
Afternoon Session
01:00 - 01:30: Invited Talk 5: Ranak Roy Chowdhury, PhD Student @UCSD. Title:PrimeNet: Pre-training for Irregular Multivariate Time-Series"
01:30 - 02:00: Invited Talk 6: Srijan Kumar, Assistant Professor @Georgia Tech. Title: Robustness and Reliability of LLMs and Multimodal Models
02:00 - 03:00: Invited Tutorial: Algorithmic Fairness in Finance: Problems, Methods and Benchmarks by Zhimeng Jiang (Texas A&M), Xiaotian Han (Texas A&M), Chia-Yuan Chang (Texas A&M), Na Zhou (Texas A&M) and Xia Hu (Rice)
03:00 - 04:00: Lightning Talks
03:00 - 03:10: "Transformer based Anomaly Detection on Multivariate Time Series Subledger Data". Daksha Yadav (Amazon), Xiaoli Zhang (Amazon), Tom Jin (Amazon)
03:10 - 03:20: "An Ensemble Approach to Personalized Real Time Predictive Writing for Experts". Sourav Prosad (Intuit), Shrutendra Harsola (Intuit), Viswa Datha Polavarapu (Intuit)
03:20 - 03:30: "Domain-adapted Learning and Imitation: DRL for Gas Trading anf Power Arbitrage". Yuanrong Wang (UCL), Vignesh Swaminathan (Shell), Nikita Granger (Shell), Carlos Ros Perez (Shell), Christian Michler (Shell)
03:30 - 03:40: "Low-Resource Real Estate Appraisal with Intra- and Inter-Sample Self-Supervised Learning". Wei-Wei Du (National Yang Ming Chiao Tung University), Wei-Yao Wang (National Yang Ming Chiao Tung University), Wen-Chih Chris Peng (National Yang Ming Chiao Tung University)
03:40 - 03:50: "BIRP: Bitcoin Information Retrieval Prediction Model Based on Multimodal Pattern Matching". Gyeongmin Kim (Korea University), Minsuk Kim (MindsLab), Byungchul Kim (Axiom Labs), Junyeong Yong (MindsLab), Jeongwoo Park (Pukyong National University)
03:55 - 04:00: Concluding Remarks