Sponsored by the Association for the Advancement of Artificial Intelligence
February 23, 2024 | Vancouver Convention Centre – West Building: Room 217 | Vancouver, BC, Canada

The goal of this program is to provide a forum in which students can present and discuss their work during its early stages, meet some of their peers who have related interests, and introduce themselves to more senior members of the field. The program is open to all students at the Undergraduate, Masters, and Doctoral levels.

Three-Minute Presentation Contest

Friday, February 23 – 11:15am – 12:30pm

The authors of some accepted abstracts will be selected to present their abstracts and their significance in a 3-minute presentation contest, to be held in a special session of the Student Abstract and Poster Program. The contest will follow the usual 3-minute thesis competition format: presentations are limited to three minutes and can be supported only by one single static slide

A SAT Solver and Computer Algebra Attack on the Minimum Kochen-Specker Problem

Zhengyu Li, Curtis Bright and Vijay Ganesh

A Wireframe-based Approach for Classifying and Acquiring Proficiency in the American Sign Language

Dylan Pallickara and Sarath Sreedharan

BertRLFuzzer: A BERT and Reinforcement Learning based Fuzzer

Piyush Jha, Joseph Scott, Jaya Sriram Ganeshna, Mudit Singh and Vijay Ganesh

Coordination of Emergent Demand Changes via Value-Based Negotiation for Supply Chain Management

Takumu Shimizu, Ryota Higa, Katsuhide Fujita and Shinji Nakadai

Digital Twin-Driven Teat Localization and Shape Identification for Dairy Cow

Aarushi Gupta, Yuexing Hao, Yuting Yang, Tiancheng Yuan, Matthias Wieland, Parminder Basran and Ken Birman

Effective Data Distillation for Tabular Datasets

Inwon Kang, Parikshit Ram, Yi Zhou, Horst Samulowitz and Oshani Seneviratne

Engineering the Neural Collapse Geometry of Supervised-Contrastive Loss

Jaidev Gill, Vala Vakilian and Christos Thrampoulidis

Enhanced Optical Character Recognition by Optical Sensor Combined with BERT and Cosine Similarity Scoring

Woohyeon Moon, Sarvar Nengroo, Jihui Lee, Seungah Son and Dongsoo Har

Evaluating the Efficacy of Prompting Techniques for Debiasing Language Model Outputs

Shaz Furniturewala; Surgan Jandial; Abhinav Java; Simra Shahid; Pragyan Banerjee; Balaji Krishnamurthy; Sumit Bhatia; Kokil Jaidka

Fast and Knowledge-Free Deep Learning for General Game Playing

Michał Maras, Michał Kępa, Jakub Kowalski and Marek Szykuła

Graph Anomaly Detection via Prototype-Aware Label Propagation

Hui Tang, Xun Liang and Sensen Zhang

HyperCube: Implicit Field Representations of Voxelized 3D Models

Magdalena Proszewska, Marcin Mazur, Tomasz Trzciński and Przemysław Spurek

Instance-wise Laplace Mechanism via Deep Reinforcement Learning

Sehyun Ryu, Hosung Joo, Jonggyu Jang and Hyun Jong Yang

JoLT: Jointly Learned Representations of Language and Time-Series for Clinical Time-series Interpretation

Yifu Cai, Arvind Srinivasan, Mononito Goswami, Arjun Choudhry and Artur Dubrawski

Kepler Light Curve Classification Using Deep Learning and Markov Transition Field

Shane Donnelly and Ayan Dutta

Multi-Expert Distillation for Few-Shot Coordination

Yujian Zhu, Hao Ding and Zongzhang Zhang

Multi-Scale Dynamic Graph Learning for Time Series Anomaly Detection

Yixuan Jin, Yutao Wei, Zhangtao Cheng, Wenxin Tai, Chunjing Xiao and Ting Zhong

PICSR: Prototype-Informed Cross-Silo Router for Federated Learning

Eric Enouen, Sebastian Caldas, Mononito Goswami and Artur Dubrawski

Power-Aware Inverse-Search Machine Learning for Low Resource Multi-Objective Unmanned Underwater Vehicle Control

Brian Zhou, Jason Geder, Kamal Viswanath, Alisha Sharma and Julian Lee

Preference-Aware Constrained Multi-Objective Bayesian Optimization

Alaleh Ahmadianshalchi, Syrine Belakaria and Jana Doppa

SkillCLIP: Skill Aware Modality Fusion Visual Question Answering

Atharva Naik, Yash Parag Butala, Navaneethan Vaikunthan and Raghav Kapoor

Solar Power Generation Forecasting via Multimodal Feature Fusion

Eul Ka, Seungeun Go, Minjin Kwak, Jeong-Hun Kim and Aziz Nasridinov

Strategic Recommendation: Revenue Optimal Matching for Online Platforms

Luca D’Amico-Wong, Gary Qiurui Ma and David Parkes

Structurally guided task decomposition in spatial navigation tasks

Ruiqi He, Carlos G. Correa, Tom L. Griffiths and Mark K. Ho

Welfare Maximization in Perpetual Voting

Tzeh Yuan Neoh and Nicholas Teh

Student Abstract Chairs

Jana Doppa (Washington State University, USA)
Fei Fang (CMU, USA)